안효원
2022-05-02
enter file
@c8e7ae22b7020b648f1565e732539c094dc10ee2
+++ 20200502/.ipynb_checkpoints/df-checkpoint.ipynb
... | ... | @@ -0,0 +1,836 @@ |
| 1 | +{ | |
| 2 | + "cells": [ | |
| 3 | + { | |
| 4 | + "cell_type": "code", | |
| 5 | + "execution_count": 7, | |
| 6 | + "id": "d318019a", | |
| 7 | + "metadata": {}, | |
| 8 | + "outputs": [], | |
| 9 | + "source": [ | |
| 10 | + "import pandas as pd" | |
| 11 | + ] | |
| 12 | + }, | |
| 13 | + { | |
| 14 | + "cell_type": "code", | |
| 15 | + "execution_count": 12, | |
| 16 | + "id": "78fed803", | |
| 17 | + "metadata": {}, | |
| 18 | + "outputs": [], | |
| 19 | + "source": [ | |
| 20 | + "df = pd.read_csv('./sample2.csv', encoding='euc-kr')" | |
| 21 | + ] | |
| 22 | + }, | |
| 23 | + { | |
| 24 | + "cell_type": "code", | |
| 25 | + "execution_count": 13, | |
| 26 | + "id": "e1a03a23", | |
| 27 | + "metadata": {}, | |
| 28 | + "outputs": [ | |
| 29 | + { | |
| 30 | + "data": { | |
| 31 | + "text/html": [ | |
| 32 | + "<div>\n", | |
| 33 | + "<style scoped>\n", | |
| 34 | + " .dataframe tbody tr th:only-of-type {\n", | |
| 35 | + " vertical-align: middle;\n", | |
| 36 | + " }\n", | |
| 37 | + "\n", | |
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| 44 | + " }\n", | |
| 45 | + "</style>\n", | |
| 46 | + "<table border=\"1\" class=\"dataframe\">\n", | |
| 47 | + " <thead>\n", | |
| 48 | + " <tr style=\"text-align: right;\">\n", | |
| 49 | + " <th></th>\n", | |
| 50 | + " <th>이름</th>\n", | |
| 51 | + " <th>나이</th>\n", | |
| 52 | + " <th>성별</th>\n", | |
| 53 | + " <th>키</th>\n", | |
| 54 | + " <th>체중</th>\n", | |
| 55 | + " </tr>\n", | |
| 56 | + " </thead>\n", | |
| 57 | + " <tbody>\n", | |
| 58 | + " <tr>\n", | |
| 59 | + " <th>0</th>\n", | |
| 60 | + " <td>홍길동</td>\n", | |
| 61 | + " <td>25</td>\n", | |
| 62 | + " <td>남</td>\n", | |
| 63 | + " <td>185</td>\n", | |
| 64 | + " <td>89</td>\n", | |
| 65 | + " </tr>\n", | |
| 66 | + " <tr>\n", | |
| 67 | + " <th>1</th>\n", | |
| 68 | + " <td>이순신</td>\n", | |
| 69 | + " <td>19</td>\n", | |
| 70 | + " <td>여</td>\n", | |
| 71 | + " <td>163</td>\n", | |
| 72 | + " <td>53</td>\n", | |
| 73 | + " </tr>\n", | |
| 74 | + " </tbody>\n", | |
| 75 | + "</table>\n", | |
| 76 | + "</div>" | |
| 77 | + ], | |
| 78 | + "text/plain": [ | |
| 79 | + " 이름 나이 성별 키 체중\n", | |
| 80 | + "0 홍길동 25 남 185 89\n", | |
| 81 | + "1 이순신 19 여 163 53" | |
| 82 | + ] | |
| 83 | + }, | |
| 84 | + "execution_count": 13, | |
| 85 | + "metadata": {}, | |
| 86 | + "output_type": "execute_result" | |
| 87 | + } | |
| 88 | + ], | |
| 89 | + "source": [ | |
| 90 | + "df" | |
| 91 | + ] | |
| 92 | + }, | |
| 93 | + { | |
| 94 | + "cell_type": "code", | |
| 95 | + "execution_count": 16, | |
| 96 | + "id": "8276cfba", | |
| 97 | + "metadata": {}, | |
| 98 | + "outputs": [], | |
| 99 | + "source": [ | |
| 100 | + "df = df.set_index('이름')" | |
| 101 | + ] | |
| 102 | + }, | |
| 103 | + { | |
| 104 | + "cell_type": "code", | |
| 105 | + "execution_count": 17, | |
| 106 | + "id": "945a1142", | |
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| 131 | + " <th>성별</th>\n", | |
| 132 | + " <th>키</th>\n", | |
| 133 | + " <th>체중</th>\n", | |
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| 147 | + " <td>남</td>\n", | |
| 148 | + " <td>185</td>\n", | |
| 149 | + " <td>89</td>\n", | |
| 150 | + " </tr>\n", | |
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| 154 | + " <td>여</td>\n", | |
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| 162 | + "text/plain": [ | |
| 163 | + " 나이 성별 키 체중\n", | |
| 164 | + "이름 \n", | |
| 165 | + "홍길동 25 남 185 89\n", | |
| 166 | + "이순신 19 여 163 53" | |
| 167 | + ] | |
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| 169 | + "execution_count": 17, | |
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| 173 | + ], | |
| 174 | + "source": [ | |
| 175 | + "df" | |
| 176 | + ] | |
| 177 | + }, | |
| 178 | + { | |
| 179 | + "cell_type": "code", | |
| 180 | + "execution_count": 25, | |
| 181 | + "id": "111a1c5f", | |
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| 211 | + " <th>이름</th>\n", | |
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| 227 | + " <th>이순신</th>\n", | |
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| 229 | + " <td>여</td>\n", | |
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| 237 | + "text/plain": [ | |
| 238 | + " 나이 성별 키 체중\n", | |
| 239 | + "이름 \n", | |
| 240 | + "홍길동 25 남 185 89\n", | |
| 241 | + "이순신 19 여 163 53" | |
| 242 | + ] | |
| 243 | + }, | |
| 244 | + "execution_count": 25, | |
| 245 | + "metadata": {}, | |
| 246 | + "output_type": "execute_result" | |
| 247 | + } | |
| 248 | + ], | |
| 249 | + "source": [ | |
| 250 | + "df.loc[['홍길동', '이순신']]" | |
| 251 | + ] | |
| 252 | + }, | |
| 253 | + { | |
| 254 | + "cell_type": "code", | |
| 255 | + "execution_count": 27, | |
| 256 | + "id": "59442de0", | |
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| 277 | + " <thead>\n", | |
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| 279 | + " <th></th>\n", | |
| 280 | + " <th>나이</th>\n", | |
| 281 | + " </tr>\n", | |
| 282 | + " <tr>\n", | |
| 283 | + " <th>이름</th>\n", | |
| 284 | + " <th></th>\n", | |
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| 286 | + " </thead>\n", | |
| 287 | + " <tbody>\n", | |
| 288 | + " <tr>\n", | |
| 289 | + " <th>홍길동</th>\n", | |
| 290 | + " <td>25</td>\n", | |
| 291 | + " </tr>\n", | |
| 292 | + " <tr>\n", | |
| 293 | + " <th>이순신</th>\n", | |
| 294 | + " <td>19</td>\n", | |
| 295 | + " </tr>\n", | |
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| 297 | + "</table>\n", | |
| 298 | + "</div>" | |
| 299 | + ], | |
| 300 | + "text/plain": [ | |
| 301 | + " 나이\n", | |
| 302 | + "이름 \n", | |
| 303 | + "홍길동 25\n", | |
| 304 | + "이순신 19" | |
| 305 | + ] | |
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| 307 | + "execution_count": 27, | |
| 308 | + "metadata": {}, | |
| 309 | + "output_type": "execute_result" | |
| 310 | + } | |
| 311 | + ], | |
| 312 | + "source": [ | |
| 313 | + "df[['나이']]" | |
| 314 | + ] | |
| 315 | + }, | |
| 316 | + { | |
| 317 | + "cell_type": "code", | |
| 318 | + "execution_count": 31, | |
| 319 | + "id": "9adeed0c", | |
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| 340 | + " <thead>\n", | |
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| 342 | + " <th></th>\n", | |
| 343 | + " <th>성별</th>\n", | |
| 344 | + " <th>키</th>\n", | |
| 345 | + " <th>체중</th>\n", | |
| 346 | + " </tr>\n", | |
| 347 | + " <tr>\n", | |
| 348 | + " <th>이름</th>\n", | |
| 349 | + " <th></th>\n", | |
| 350 | + " <th></th>\n", | |
| 351 | + " <th></th>\n", | |
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| 353 | + " </thead>\n", | |
| 354 | + " <tbody>\n", | |
| 355 | + " <tr>\n", | |
| 356 | + " <th>홍길동</th>\n", | |
| 357 | + " <td>남</td>\n", | |
| 358 | + " <td>185</td>\n", | |
| 359 | + " <td>89</td>\n", | |
| 360 | + " </tr>\n", | |
| 361 | + " <tr>\n", | |
| 362 | + " <th>이순신</th>\n", | |
| 363 | + " <td>여</td>\n", | |
| 364 | + " <td>163</td>\n", | |
| 365 | + " <td>53</td>\n", | |
| 366 | + " </tr>\n", | |
| 367 | + " </tbody>\n", | |
| 368 | + "</table>\n", | |
| 369 | + "</div>" | |
| 370 | + ], | |
| 371 | + "text/plain": [ | |
| 372 | + " 성별 키 체중\n", | |
| 373 | + "이름 \n", | |
| 374 | + "홍길동 남 185 89\n", | |
| 375 | + "이순신 여 163 53" | |
| 376 | + ] | |
| 377 | + }, | |
| 378 | + "execution_count": 31, | |
| 379 | + "metadata": {}, | |
| 380 | + "output_type": "execute_result" | |
| 381 | + } | |
| 382 | + ], | |
| 383 | + "source": [ | |
| 384 | + "df[['성별', '키', '체중']]" | |
| 385 | + ] | |
| 386 | + }, | |
| 387 | + { | |
| 388 | + "cell_type": "code", | |
| 389 | + "execution_count": 32, | |
| 390 | + "id": "3e72a447", | |
| 391 | + "metadata": {}, | |
| 392 | + "outputs": [], | |
| 393 | + "source": [ | |
| 394 | + "df['DMI'] = 0" | |
| 395 | + ] | |
| 396 | + }, | |
| 397 | + { | |
| 398 | + "cell_type": "code", | |
| 399 | + "execution_count": 44, | |
| 400 | + "id": "e9b958e8", | |
| 401 | + "metadata": {}, | |
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| 421 | + " <thead>\n", | |
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| 423 | + " <th></th>\n", | |
| 424 | + " <th>나이</th>\n", | |
| 425 | + " <th>성별</th>\n", | |
| 426 | + " <th>키</th>\n", | |
| 427 | + " <th>체중</th>\n", | |
| 428 | + " <th>DMI</th>\n", | |
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| 438 | + " </thead>\n", | |
| 439 | + " <tbody>\n", | |
| 440 | + " <tr>\n", | |
| 441 | + " <th>홍길동</th>\n", | |
| 442 | + " <td>25</td>\n", | |
| 443 | + " <td>남</td>\n", | |
| 444 | + " <td>185</td>\n", | |
| 445 | + " <td>89</td>\n", | |
| 446 | + " <td>0</td>\n", | |
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| 448 | + " <tr>\n", | |
| 449 | + " <th>이순신</th>\n", | |
| 450 | + " <td>19</td>\n", | |
| 451 | + " <td>여</td>\n", | |
| 452 | + " <td>163</td>\n", | |
| 453 | + " <td>53</td>\n", | |
| 454 | + " <td>0</td>\n", | |
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| 460 | + "text/plain": [ | |
| 461 | + " 나이 성별 키 체중 DMI\n", | |
| 462 | + "이름 \n", | |
| 463 | + "홍길동 25 남 185 89 0\n", | |
| 464 | + "이순신 19 여 163 53 0" | |
| 465 | + ] | |
| 466 | + }, | |
| 467 | + "execution_count": 44, | |
| 468 | + "metadata": {}, | |
| 469 | + "output_type": "execute_result" | |
| 470 | + } | |
| 471 | + ], | |
| 472 | + "source": [ | |
| 473 | + "df" | |
| 474 | + ] | |
| 475 | + }, | |
| 476 | + { | |
| 477 | + "cell_type": "code", | |
| 478 | + "execution_count": 45, | |
| 479 | + "id": "c435db05", | |
| 480 | + "metadata": {}, | |
| 481 | + "outputs": [], | |
| 482 | + "source": [ | |
| 483 | + "df.loc['유관순'] = 0" | |
| 484 | + ] | |
| 485 | + }, | |
| 486 | + { | |
| 487 | + "cell_type": "code", | |
| 488 | + "execution_count": 46, | |
| 489 | + "id": "5c13154e", | |
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| 770 | + " <thead>\n", | |
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| 772 | + " <th></th>\n", | |
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| 778 | + " <th>환자코드</th>\n", | |
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| 802 | + " 연령 성별 거주지\n", | |
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| 824 | + "df.rename(index={'A00301':'환자1', 'B00809':'환자2'}, inplace=True)" | |
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| 883 | + " 연령 성별 거주지\n", | |
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| 886 | + "환자2 53 여 제주도" | |
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| 900 | + "execution_count": 110, | |
| 901 | + "id": "ed6d5292", | |
| 902 | + "metadata": {}, | |
| 903 | + "outputs": [], | |
| 904 | + "source": [ | |
| 905 | + "df.rename(columns={'연령':'Age', '성별':'Sex', '거주지':'Addr'}, inplace=True)" | |
| 906 | + ] | |
| 907 | + }, | |
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| 932 | + " <thead>\n", | |
| 933 | + " <tr style=\"text-align: right;\">\n", | |
| 934 | + " <th></th>\n", | |
| 935 | + " <th>Age</th>\n", | |
| 936 | + " <th>Sex</th>\n", | |
| 937 | + " <th>Addr</th>\n", | |
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| 941 | + " <th></th>\n", | |
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| 963 | + "text/plain": [ | |
| 964 | + " Age Sex Addr\n", | |
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| 966 | + "환자1 23 남 서울시\n", | |
| 967 | + "환자2 53 여 제주도" | |
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| 998 | + "display_name": "Python 3 (ipykernel)", | |
| 999 | + "language": "python", | |
| 1000 | + "name": "python3" | |
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| 1003 | + "codemirror_mode": { | |
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| 1009 | + "name": "python", | |
| 1010 | + "nbconvert_exporter": "python", | |
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| 1016 | + "nbformat_minor": 5 | |
| 1017 | +} |
+++ 20200502/df.ipynb
... | ... | @@ -0,0 +1,836 @@ |
| 1 | +{ | |
| 2 | + "cells": [ | |
| 3 | + { | |
| 4 | + "cell_type": "code", | |
| 5 | + "execution_count": 7, | |
| 6 | + "id": "d318019a", | |
| 7 | + "metadata": {}, | |
| 8 | + "outputs": [], | |
| 9 | + "source": [ | |
| 10 | + "import pandas as pd" | |
| 11 | + ] | |
| 12 | + }, | |
| 13 | + { | |
| 14 | + "cell_type": "code", | |
| 15 | + "execution_count": 12, | |
| 16 | + "id": "78fed803", | |
| 17 | + "metadata": {}, | |
| 18 | + "outputs": [], | |
| 19 | + "source": [ | |
| 20 | + "df = pd.read_csv('./sample2.csv', encoding='euc-kr')" | |
| 21 | + ] | |
| 22 | + }, | |
| 23 | + { | |
| 24 | + "cell_type": "code", | |
| 25 | + "execution_count": 13, | |
| 26 | + "id": "e1a03a23", | |
| 27 | + "metadata": {}, | |
| 28 | + "outputs": [ | |
| 29 | + { | |
| 30 | + "data": { | |
| 31 | + "text/html": [ | |
| 32 | + "<div>\n", | |
| 33 | + "<style scoped>\n", | |
| 34 | + " .dataframe tbody tr th:only-of-type {\n", | |
| 35 | + " vertical-align: middle;\n", | |
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| 42 | + " .dataframe thead th {\n", | |
| 43 | + " text-align: right;\n", | |
| 44 | + " }\n", | |
| 45 | + "</style>\n", | |
| 46 | + "<table border=\"1\" class=\"dataframe\">\n", | |
| 47 | + " <thead>\n", | |
| 48 | + " <tr style=\"text-align: right;\">\n", | |
| 49 | + " <th></th>\n", | |
| 50 | + " <th>이름</th>\n", | |
| 51 | + " <th>나이</th>\n", | |
| 52 | + " <th>성별</th>\n", | |
| 53 | + " <th>키</th>\n", | |
| 54 | + " <th>체중</th>\n", | |
| 55 | + " </tr>\n", | |
| 56 | + " </thead>\n", | |
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| 58 | + " <tr>\n", | |
| 59 | + " <th>0</th>\n", | |
| 60 | + " <td>홍길동</td>\n", | |
| 61 | + " <td>25</td>\n", | |
| 62 | + " <td>남</td>\n", | |
| 63 | + " <td>185</td>\n", | |
| 64 | + " <td>89</td>\n", | |
| 65 | + " </tr>\n", | |
| 66 | + " <tr>\n", | |
| 67 | + " <th>1</th>\n", | |
| 68 | + " <td>이순신</td>\n", | |
| 69 | + " <td>19</td>\n", | |
| 70 | + " <td>여</td>\n", | |
| 71 | + " <td>163</td>\n", | |
| 72 | + " <td>53</td>\n", | |
| 73 | + " </tr>\n", | |
| 74 | + " </tbody>\n", | |
| 75 | + "</table>\n", | |
| 76 | + "</div>" | |
| 77 | + ], | |
| 78 | + "text/plain": [ | |
| 79 | + " 이름 나이 성별 키 체중\n", | |
| 80 | + "0 홍길동 25 남 185 89\n", | |
| 81 | + "1 이순신 19 여 163 53" | |
| 82 | + ] | |
| 83 | + }, | |
| 84 | + "execution_count": 13, | |
| 85 | + "metadata": {}, | |
| 86 | + "output_type": "execute_result" | |
| 87 | + } | |
| 88 | + ], | |
| 89 | + "source": [ | |
| 90 | + "df" | |
| 91 | + ] | |
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| 93 | + { | |
| 94 | + "cell_type": "code", | |
| 95 | + "execution_count": 16, | |
| 96 | + "id": "8276cfba", | |
| 97 | + "metadata": {}, | |
| 98 | + "outputs": [], | |
| 99 | + "source": [ | |
| 100 | + "df = df.set_index('이름')" | |
| 101 | + ] | |
| 102 | + }, | |
| 103 | + { | |
| 104 | + "cell_type": "code", | |
| 105 | + "execution_count": 17, | |
| 106 | + "id": "945a1142", | |
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| 131 | + " <th>성별</th>\n", | |
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| 147 | + " <td>남</td>\n", | |
| 148 | + " <td>185</td>\n", | |
| 149 | + " <td>89</td>\n", | |
| 150 | + " </tr>\n", | |
| 151 | + " <tr>\n", | |
| 152 | + " <th>이순신</th>\n", | |
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| 154 | + " <td>여</td>\n", | |
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| 156 | + " <td>53</td>\n", | |
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| 162 | + "text/plain": [ | |
| 163 | + " 나이 성별 키 체중\n", | |
| 164 | + "이름 \n", | |
| 165 | + "홍길동 25 남 185 89\n", | |
| 166 | + "이순신 19 여 163 53" | |
| 167 | + ] | |
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| 169 | + "execution_count": 17, | |
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| 172 | + } | |
| 173 | + ], | |
| 174 | + "source": [ | |
| 175 | + "df" | |
| 176 | + ] | |
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| 179 | + "cell_type": "code", | |
| 180 | + "execution_count": 25, | |
| 181 | + "id": "111a1c5f", | |
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| 183 | + "outputs": [ | |
| 184 | + { | |
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| 186 | + "text/html": [ | |
| 187 | + "<div>\n", | |
| 188 | + "<style scoped>\n", | |
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| 200 | + "</style>\n", | |
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| 202 | + " <thead>\n", | |
| 203 | + " <tr style=\"text-align: right;\">\n", | |
| 204 | + " <th></th>\n", | |
| 205 | + " <th>나이</th>\n", | |
| 206 | + " <th>성별</th>\n", | |
| 207 | + " <th>키</th>\n", | |
| 208 | + " <th>체중</th>\n", | |
| 209 | + " </tr>\n", | |
| 210 | + " <tr>\n", | |
| 211 | + " <th>이름</th>\n", | |
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| 214 | + " <th></th>\n", | |
| 215 | + " <th></th>\n", | |
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| 218 | + " <tbody>\n", | |
| 219 | + " <tr>\n", | |
| 220 | + " <th>홍길동</th>\n", | |
| 221 | + " <td>25</td>\n", | |
| 222 | + " <td>남</td>\n", | |
| 223 | + " <td>185</td>\n", | |
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| 226 | + " <tr>\n", | |
| 227 | + " <th>이순신</th>\n", | |
| 228 | + " <td>19</td>\n", | |
| 229 | + " <td>여</td>\n", | |
| 230 | + " <td>163</td>\n", | |
| 231 | + " <td>53</td>\n", | |
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| 238 | + " 나이 성별 키 체중\n", | |
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| 240 | + "홍길동 25 남 185 89\n", | |
| 241 | + "이순신 19 여 163 53" | |
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| 659 | + "이순신 28 남 177 65 0\n", | |
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| 681 | + "나이 28\n", | |
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+++ 20200502/pandas.ipynb
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| 350 | + " ['A00301', 23, '남', '서울시'],\n", | |
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| 535 | + " <td>53</td>\n", | |
| 536 | + " <td>여</td>\n", | |
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| 618 | + " 0 1 2 3\n", | |
| 619 | + "구분 환자 코드 연령 성별 거주지\n", | |
| 620 | + "A00301 A00301 23 남 서울시\n", | |
| 621 | + "B00809 B00809 53 여 제주도" | |
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| 635 | + "execution_count": 71, | |
| 636 | + "id": "c3ad0a58", | |
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| 639 | + "source": [ | |
| 640 | + "df = pd.DataFrame([[23, '남', '서울시'],\n", | |
| 641 | + " [53, '여', '제주도']],\n", | |
| 642 | + " index = ['A00301', 'B00809'], \n", | |
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| 696 | + " 연령 성별 거주지\n", | |
| 697 | + "A00301 23 남 서울시\n", | |
| 698 | + "B00809 53 여 제주도" | |
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| 721 | + "연령 23\n", | |
| 722 | + "성별 남\n", | |
| 723 | + "거주지 서울시\n", | |
| 724 | + "Name: A00301, dtype: object" | |
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| 727 | + "execution_count": 74, | |
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| 733 | + "df.loc['A00301']" | |
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| 738 | + "execution_count": 101, | |
| 739 | + "id": "8b30c291", | |
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| 742 | + "source": [ | |
| 743 | + "df = pd.read_csv(\"./sample.csv\", encoding='euc-kr', index_col='환자코드')" | |
| 744 | + ] | |
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| 802 | + " 연령 성별 거주지\n", | |
| 803 | + "환자코드 \n", | |
| 804 | + "A00301 23 남 서울시\n", | |
| 805 | + "B00809 53 여 제주도" | |
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| 820 | + "id": "db6540c0", | |
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| 824 | + "df.rename(index={'A00301':'환자1', 'B00809':'환자2'}, inplace=True)" | |
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| 868 | + " <td>23</td>\n", | |
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| 886 | + "환자2 53 여 제주도" | |
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| 901 | + "id": "ed6d5292", | |
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| 904 | + "source": [ | |
| 905 | + "df.rename(columns={'연령':'Age', '성별':'Sex', '거주지':'Addr'}, inplace=True)" | |
| 906 | + ] | |
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| 949 | + " <td>23</td>\n", | |
| 950 | + " <td>남</td>\n", | |
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| 966 | + "환자1 23 남 서울시\n", | |
| 967 | + "환자2 53 여 제주도" | |
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| 991 | + "metadata": {}, | |
| 992 | + "outputs": [], | |
| 993 | + "source": [] | |
| 994 | + } | |
| 995 | + ], | |
| 996 | + "metadata": { | |
| 997 | + "kernelspec": { | |
| 998 | + "display_name": "Python 3 (ipykernel)", | |
| 999 | + "language": "python", | |
| 1000 | + "name": "python3" | |
| 1001 | + }, | |
| 1002 | + "language_info": { | |
| 1003 | + "codemirror_mode": { | |
| 1004 | + "name": "ipython", | |
| 1005 | + "version": 3 | |
| 1006 | + }, | |
| 1007 | + "file_extension": ".py", | |
| 1008 | + "mimetype": "text/x-python", | |
| 1009 | + "name": "python", | |
| 1010 | + "nbconvert_exporter": "python", | |
| 1011 | + "pygments_lexer": "ipython3", | |
| 1012 | + "version": "3.9.7" | |
| 1013 | + } | |
| 1014 | + }, | |
| 1015 | + "nbformat": 4, | |
| 1016 | + "nbformat_minor": 5 | |
| 1017 | +} |
+++ 20200502/sample.csv
... | ... | @@ -0,0 +1,3 @@ |
| 1 | +ȯÀÚÄÚµå,¿¬·É,¼ºº°,°ÅÁÖÁö | |
| 2 | +A00301,23,³²,¼¿ï½Ã | |
| 3 | +B00809,53,¿©,Á¦ÁÖµµ |
+++ 20200502/sample2.csv
... | ... | @@ -0,0 +1,3 @@ |
| 1 | +À̸§,³ªÀÌ,¼ºº°,Å°,üÁß | |
| 2 | +È«±æµ¿,25,³²,185,89 | |
| 3 | +À̼ø½Å,19,¿©,163,53 |
+++ 20220404/.ipynb_checkpoints/list-checkpoint.ipynb
... | ... | @@ -0,0 +1,1071 @@ |
| 1 | +{ | |
| 2 | + "cells": [ | |
| 3 | + { | |
| 4 | + "cell_type": "code", | |
| 5 | + "execution_count": 27, | |
| 6 | + "id": "8cde316d", | |
| 7 | + "metadata": {}, | |
| 8 | + "outputs": [ | |
| 9 | + { | |
| 10 | + "data": { | |
| 11 | + "text/plain": [ | |
| 12 | + "[1, 2, 3]" | |
| 13 | + ] | |
| 14 | + }, | |
| 15 | + "execution_count": 27, | |
| 16 | + "metadata": {}, | |
| 17 | + "output_type": "execute_result" | |
| 18 | + } | |
| 19 | + ], | |
| 20 | + "source": [ | |
| 21 | + "a = [1, 2, 3]\n", | |
| 22 | + "a" | |
| 23 | + ] | |
| 24 | + }, | |
| 25 | + { | |
| 26 | + "cell_type": "code", | |
| 27 | + "execution_count": 28, | |
| 28 | + "id": "31a658b6", | |
| 29 | + "metadata": {}, | |
| 30 | + "outputs": [ | |
| 31 | + { | |
| 32 | + "data": { | |
| 33 | + "text/plain": [ | |
| 34 | + "['Life', ' is', 'too', 'short']" | |
| 35 | + ] | |
| 36 | + }, | |
| 37 | + "execution_count": 28, | |
| 38 | + "metadata": {}, | |
| 39 | + "output_type": "execute_result" | |
| 40 | + } | |
| 41 | + ], | |
| 42 | + "source": [ | |
| 43 | + "b = [\"Life\", \" is\", \"too\", \"short\"]\n", | |
| 44 | + "b" | |
| 45 | + ] | |
| 46 | + }, | |
| 47 | + { | |
| 48 | + "cell_type": "code", | |
| 49 | + "execution_count": 29, | |
| 50 | + "id": "af028ec4", | |
| 51 | + "metadata": {}, | |
| 52 | + "outputs": [ | |
| 53 | + { | |
| 54 | + "data": { | |
| 55 | + "text/plain": [ | |
| 56 | + "[1, 2, 'Life', 'is']" | |
| 57 | + ] | |
| 58 | + }, | |
| 59 | + "execution_count": 29, | |
| 60 | + "metadata": {}, | |
| 61 | + "output_type": "execute_result" | |
| 62 | + } | |
| 63 | + ], | |
| 64 | + "source": [ | |
| 65 | + "c = [1, 2, \"Life\", \"is\"]\n", | |
| 66 | + "c" | |
| 67 | + ] | |
| 68 | + }, | |
| 69 | + { | |
| 70 | + "cell_type": "code", | |
| 71 | + "execution_count": 30, | |
| 72 | + "id": "aed75dc2", | |
| 73 | + "metadata": {}, | |
| 74 | + "outputs": [ | |
| 75 | + { | |
| 76 | + "data": { | |
| 77 | + "text/plain": [ | |
| 78 | + "[1, 2, [3, 4], ['Life', 'is']]" | |
| 79 | + ] | |
| 80 | + }, | |
| 81 | + "execution_count": 30, | |
| 82 | + "metadata": {}, | |
| 83 | + "output_type": "execute_result" | |
| 84 | + } | |
| 85 | + ], | |
| 86 | + "source": [ | |
| 87 | + "d = [1, 2, [3, 4], [\"Life\", \"is\"]]\n", | |
| 88 | + "d" | |
| 89 | + ] | |
| 90 | + }, | |
| 91 | + { | |
| 92 | + "cell_type": "code", | |
| 93 | + "execution_count": 32, | |
| 94 | + "id": "b9d56702", | |
| 95 | + "metadata": { | |
| 96 | + "collapsed": true | |
| 97 | + }, | |
| 98 | + "outputs": [ | |
| 99 | + { | |
| 100 | + "data": { | |
| 101 | + "text/plain": [ | |
| 102 | + "2" | |
| 103 | + ] | |
| 104 | + }, | |
| 105 | + "execution_count": 32, | |
| 106 | + "metadata": {}, | |
| 107 | + "output_type": "execute_result" | |
| 108 | + } | |
| 109 | + ], | |
| 110 | + "source": [ | |
| 111 | + "a[1]" | |
| 112 | + ] | |
| 113 | + }, | |
| 114 | + { | |
| 115 | + "cell_type": "code", | |
| 116 | + "execution_count": 33, | |
| 117 | + "id": "2fdf5bdd", | |
| 118 | + "metadata": { | |
| 119 | + "collapsed": true | |
| 120 | + }, | |
| 121 | + "outputs": [ | |
| 122 | + { | |
| 123 | + "data": { | |
| 124 | + "text/plain": [ | |
| 125 | + "'short'" | |
| 126 | + ] | |
| 127 | + }, | |
| 128 | + "execution_count": 33, | |
| 129 | + "metadata": {}, | |
| 130 | + "output_type": "execute_result" | |
| 131 | + } | |
| 132 | + ], | |
| 133 | + "source": [ | |
| 134 | + "b[-1]" | |
| 135 | + ] | |
| 136 | + }, | |
| 137 | + { | |
| 138 | + "cell_type": "code", | |
| 139 | + "execution_count": 37, | |
| 140 | + "id": "a1e6399b", | |
| 141 | + "metadata": { | |
| 142 | + "collapsed": true | |
| 143 | + }, | |
| 144 | + "outputs": [ | |
| 145 | + { | |
| 146 | + "data": { | |
| 147 | + "text/plain": [ | |
| 148 | + "4" | |
| 149 | + ] | |
| 150 | + }, | |
| 151 | + "execution_count": 37, | |
| 152 | + "metadata": {}, | |
| 153 | + "output_type": "execute_result" | |
| 154 | + } | |
| 155 | + ], | |
| 156 | + "source": [ | |
| 157 | + "d[2][-1]" | |
| 158 | + ] | |
| 159 | + }, | |
| 160 | + { | |
| 161 | + "cell_type": "code", | |
| 162 | + "execution_count": 40, | |
| 163 | + "id": "698645c1", | |
| 164 | + "metadata": { | |
| 165 | + "collapsed": true | |
| 166 | + }, | |
| 167 | + "outputs": [ | |
| 168 | + { | |
| 169 | + "data": { | |
| 170 | + "text/plain": [ | |
| 171 | + "['Life', 'is']" | |
| 172 | + ] | |
| 173 | + }, | |
| 174 | + "execution_count": 40, | |
| 175 | + "metadata": {}, | |
| 176 | + "output_type": "execute_result" | |
| 177 | + } | |
| 178 | + ], | |
| 179 | + "source": [ | |
| 180 | + "d[-1]" | |
| 181 | + ] | |
| 182 | + }, | |
| 183 | + { | |
| 184 | + "cell_type": "code", | |
| 185 | + "execution_count": 43, | |
| 186 | + "id": "9a0e2d6f", | |
| 187 | + "metadata": { | |
| 188 | + "collapsed": true | |
| 189 | + }, | |
| 190 | + "outputs": [ | |
| 191 | + { | |
| 192 | + "data": { | |
| 193 | + "text/plain": [ | |
| 194 | + "'Life'" | |
| 195 | + ] | |
| 196 | + }, | |
| 197 | + "execution_count": 43, | |
| 198 | + "metadata": {}, | |
| 199 | + "output_type": "execute_result" | |
| 200 | + } | |
| 201 | + ], | |
| 202 | + "source": [ | |
| 203 | + "d[-1][-2]" | |
| 204 | + ] | |
| 205 | + }, | |
| 206 | + { | |
| 207 | + "cell_type": "code", | |
| 208 | + "execution_count": 44, | |
| 209 | + "id": "f557f756", | |
| 210 | + "metadata": { | |
| 211 | + "collapsed": true | |
| 212 | + }, | |
| 213 | + "outputs": [ | |
| 214 | + { | |
| 215 | + "data": { | |
| 216 | + "text/plain": [ | |
| 217 | + "[1, 2, [3, 4]]" | |
| 218 | + ] | |
| 219 | + }, | |
| 220 | + "execution_count": 44, | |
| 221 | + "metadata": {}, | |
| 222 | + "output_type": "execute_result" | |
| 223 | + } | |
| 224 | + ], | |
| 225 | + "source": [ | |
| 226 | + "d[0:3]" | |
| 227 | + ] | |
| 228 | + }, | |
| 229 | + { | |
| 230 | + "cell_type": "code", | |
| 231 | + "execution_count": 46, | |
| 232 | + "id": "313e2152", | |
| 233 | + "metadata": {}, | |
| 234 | + "outputs": [ | |
| 235 | + { | |
| 236 | + "data": { | |
| 237 | + "text/plain": [ | |
| 238 | + "[1, 2, 3, 'Life', ' is', 'too', 'short']" | |
| 239 | + ] | |
| 240 | + }, | |
| 241 | + "execution_count": 46, | |
| 242 | + "metadata": {}, | |
| 243 | + "output_type": "execute_result" | |
| 244 | + } | |
| 245 | + ], | |
| 246 | + "source": [ | |
| 247 | + "a+b" | |
| 248 | + ] | |
| 249 | + }, | |
| 250 | + { | |
| 251 | + "cell_type": "code", | |
| 252 | + "execution_count": 49, | |
| 253 | + "id": "9959a5e2", | |
| 254 | + "metadata": {}, | |
| 255 | + "outputs": [ | |
| 256 | + { | |
| 257 | + "data": { | |
| 258 | + "text/plain": [ | |
| 259 | + "'Life'" | |
| 260 | + ] | |
| 261 | + }, | |
| 262 | + "execution_count": 49, | |
| 263 | + "metadata": {}, | |
| 264 | + "output_type": "execute_result" | |
| 265 | + } | |
| 266 | + ], | |
| 267 | + "source": [ | |
| 268 | + "b[0]" | |
| 269 | + ] | |
| 270 | + }, | |
| 271 | + { | |
| 272 | + "cell_type": "code", | |
| 273 | + "execution_count": 53, | |
| 274 | + "id": "0ead5b30", | |
| 275 | + "metadata": {}, | |
| 276 | + "outputs": [ | |
| 277 | + { | |
| 278 | + "data": { | |
| 279 | + "text/plain": [ | |
| 280 | + "'1hi ~^^`'" | |
| 281 | + ] | |
| 282 | + }, | |
| 283 | + "execution_count": 53, | |
| 284 | + "metadata": {}, | |
| 285 | + "output_type": "execute_result" | |
| 286 | + } | |
| 287 | + ], | |
| 288 | + "source": [ | |
| 289 | + "str(a[0]) + \"hi ~^^`\"" | |
| 290 | + ] | |
| 291 | + }, | |
| 292 | + { | |
| 293 | + "cell_type": "code", | |
| 294 | + "execution_count": 54, | |
| 295 | + "id": "c574311e", | |
| 296 | + "metadata": {}, | |
| 297 | + "outputs": [ | |
| 298 | + { | |
| 299 | + "data": { | |
| 300 | + "text/plain": [ | |
| 301 | + "[1, 2, 3]" | |
| 302 | + ] | |
| 303 | + }, | |
| 304 | + "execution_count": 54, | |
| 305 | + "metadata": {}, | |
| 306 | + "output_type": "execute_result" | |
| 307 | + } | |
| 308 | + ], | |
| 309 | + "source": [ | |
| 310 | + "a" | |
| 311 | + ] | |
| 312 | + }, | |
| 313 | + { | |
| 314 | + "cell_type": "code", | |
| 315 | + "execution_count": 61, | |
| 316 | + "id": "5430555e", | |
| 317 | + "metadata": {}, | |
| 318 | + "outputs": [ | |
| 319 | + { | |
| 320 | + "data": { | |
| 321 | + "text/plain": [ | |
| 322 | + "3" | |
| 323 | + ] | |
| 324 | + }, | |
| 325 | + "execution_count": 61, | |
| 326 | + "metadata": {}, | |
| 327 | + "output_type": "execute_result" | |
| 328 | + } | |
| 329 | + ], | |
| 330 | + "source": [ | |
| 331 | + "int('1') + int('2')" | |
| 332 | + ] | |
| 333 | + }, | |
| 334 | + { | |
| 335 | + "cell_type": "code", | |
| 336 | + "execution_count": 62, | |
| 337 | + "id": "4e293d6c", | |
| 338 | + "metadata": {}, | |
| 339 | + "outputs": [ | |
| 340 | + { | |
| 341 | + "data": { | |
| 342 | + "text/plain": [ | |
| 343 | + "[1, 2, 3, 1, 2, 3, 1, 2, 3]" | |
| 344 | + ] | |
| 345 | + }, | |
| 346 | + "execution_count": 62, | |
| 347 | + "metadata": {}, | |
| 348 | + "output_type": "execute_result" | |
| 349 | + } | |
| 350 | + ], | |
| 351 | + "source": [ | |
| 352 | + "a * 3" | |
| 353 | + ] | |
| 354 | + }, | |
| 355 | + { | |
| 356 | + "cell_type": "code", | |
| 357 | + "execution_count": 63, | |
| 358 | + "id": "4a7633f8", | |
| 359 | + "metadata": {}, | |
| 360 | + "outputs": [], | |
| 361 | + "source": [ | |
| 362 | + "del a[0]" | |
| 363 | + ] | |
| 364 | + }, | |
| 365 | + { | |
| 366 | + "cell_type": "code", | |
| 367 | + "execution_count": 66, | |
| 368 | + "id": "8e38fefe", | |
| 369 | + "metadata": {}, | |
| 370 | + "outputs": [], | |
| 371 | + "source": [ | |
| 372 | + "a.insert(0, a)" | |
| 373 | + ] | |
| 374 | + }, | |
| 375 | + { | |
| 376 | + "cell_type": "code", | |
| 377 | + "execution_count": 69, | |
| 378 | + "id": "82628ba6", | |
| 379 | + "metadata": {}, | |
| 380 | + "outputs": [], | |
| 381 | + "source": [ | |
| 382 | + "del a[1]" | |
| 383 | + ] | |
| 384 | + }, | |
| 385 | + { | |
| 386 | + "cell_type": "code", | |
| 387 | + "execution_count": 70, | |
| 388 | + "id": "de133692", | |
| 389 | + "metadata": {}, | |
| 390 | + "outputs": [ | |
| 391 | + { | |
| 392 | + "data": { | |
| 393 | + "text/plain": [ | |
| 394 | + "[[...], 3]" | |
| 395 | + ] | |
| 396 | + }, | |
| 397 | + "execution_count": 70, | |
| 398 | + "metadata": {}, | |
| 399 | + "output_type": "execute_result" | |
| 400 | + } | |
| 401 | + ], | |
| 402 | + "source": [ | |
| 403 | + "a" | |
| 404 | + ] | |
| 405 | + }, | |
| 406 | + { | |
| 407 | + "cell_type": "code", | |
| 408 | + "execution_count": 72, | |
| 409 | + "id": "240e416a", | |
| 410 | + "metadata": {}, | |
| 411 | + "outputs": [ | |
| 412 | + { | |
| 413 | + "data": { | |
| 414 | + "text/plain": [ | |
| 415 | + "[]" | |
| 416 | + ] | |
| 417 | + }, | |
| 418 | + "execution_count": 72, | |
| 419 | + "metadata": {}, | |
| 420 | + "output_type": "execute_result" | |
| 421 | + } | |
| 422 | + ], | |
| 423 | + "source": [ | |
| 424 | + "del a[0]\n", | |
| 425 | + "a" | |
| 426 | + ] | |
| 427 | + }, | |
| 428 | + { | |
| 429 | + "cell_type": "code", | |
| 430 | + "execution_count": 73, | |
| 431 | + "id": "1326585c", | |
| 432 | + "metadata": {}, | |
| 433 | + "outputs": [], | |
| 434 | + "source": [ | |
| 435 | + "a = [1, 2, 3]" | |
| 436 | + ] | |
| 437 | + }, | |
| 438 | + { | |
| 439 | + "cell_type": "code", | |
| 440 | + "execution_count": 74, | |
| 441 | + "id": "0ef8d1be", | |
| 442 | + "metadata": {}, | |
| 443 | + "outputs": [ | |
| 444 | + { | |
| 445 | + "data": { | |
| 446 | + "text/plain": [ | |
| 447 | + "[1, 2, 3]" | |
| 448 | + ] | |
| 449 | + }, | |
| 450 | + "execution_count": 74, | |
| 451 | + "metadata": {}, | |
| 452 | + "output_type": "execute_result" | |
| 453 | + } | |
| 454 | + ], | |
| 455 | + "source": [ | |
| 456 | + "a" | |
| 457 | + ] | |
| 458 | + }, | |
| 459 | + { | |
| 460 | + "cell_type": "code", | |
| 461 | + "execution_count": 76, | |
| 462 | + "id": "5164f42d", | |
| 463 | + "metadata": {}, | |
| 464 | + "outputs": [ | |
| 465 | + { | |
| 466 | + "data": { | |
| 467 | + "text/plain": [ | |
| 468 | + "['a', 'b', 'c']" | |
| 469 | + ] | |
| 470 | + }, | |
| 471 | + "execution_count": 76, | |
| 472 | + "metadata": {}, | |
| 473 | + "output_type": "execute_result" | |
| 474 | + } | |
| 475 | + ], | |
| 476 | + "source": [ | |
| 477 | + "aa = ['a', 'b', 'c']\n", | |
| 478 | + "aa" | |
| 479 | + ] | |
| 480 | + }, | |
| 481 | + { | |
| 482 | + "cell_type": "code", | |
| 483 | + "execution_count": 79, | |
| 484 | + "id": "e2e38fff", | |
| 485 | + "metadata": {}, | |
| 486 | + "outputs": [ | |
| 487 | + { | |
| 488 | + "data": { | |
| 489 | + "text/plain": [ | |
| 490 | + "['a', 'b', 'd']" | |
| 491 | + ] | |
| 492 | + }, | |
| 493 | + "execution_count": 79, | |
| 494 | + "metadata": {}, | |
| 495 | + "output_type": "execute_result" | |
| 496 | + } | |
| 497 | + ], | |
| 498 | + "source": [ | |
| 499 | + "aa[2] = 'd'\n", | |
| 500 | + "aa" | |
| 501 | + ] | |
| 502 | + }, | |
| 503 | + { | |
| 504 | + "cell_type": "code", | |
| 505 | + "execution_count": 84, | |
| 506 | + "id": "314b0a27", | |
| 507 | + "metadata": {}, | |
| 508 | + "outputs": [ | |
| 509 | + { | |
| 510 | + "data": { | |
| 511 | + "text/plain": [ | |
| 512 | + "['a', ['x', 'y', 'z'], 'd']" | |
| 513 | + ] | |
| 514 | + }, | |
| 515 | + "execution_count": 84, | |
| 516 | + "metadata": {}, | |
| 517 | + "output_type": "execute_result" | |
| 518 | + } | |
| 519 | + ], | |
| 520 | + "source": [ | |
| 521 | + "aa[1] = ['x', 'y', 'z']\n", | |
| 522 | + "aa" | |
| 523 | + ] | |
| 524 | + }, | |
| 525 | + { | |
| 526 | + "cell_type": "code", | |
| 527 | + "execution_count": 86, | |
| 528 | + "id": "0037cf3e", | |
| 529 | + "metadata": {}, | |
| 530 | + "outputs": [ | |
| 531 | + { | |
| 532 | + "data": { | |
| 533 | + "text/plain": [ | |
| 534 | + "[1, 2, 99]" | |
| 535 | + ] | |
| 536 | + }, | |
| 537 | + "execution_count": 86, | |
| 538 | + "metadata": {}, | |
| 539 | + "output_type": "execute_result" | |
| 540 | + } | |
| 541 | + ], | |
| 542 | + "source": [ | |
| 543 | + "a[-1] = 99\n", | |
| 544 | + "a" | |
| 545 | + ] | |
| 546 | + }, | |
| 547 | + { | |
| 548 | + "cell_type": "code", | |
| 549 | + "execution_count": 87, | |
| 550 | + "id": "d64845b1", | |
| 551 | + "metadata": {}, | |
| 552 | + "outputs": [], | |
| 553 | + "source": [ | |
| 554 | + "a[1:2] = ['a', 'b', 'c']" | |
| 555 | + ] | |
| 556 | + }, | |
| 557 | + { | |
| 558 | + "cell_type": "code", | |
| 559 | + "execution_count": 88, | |
| 560 | + "id": "1aae50c5", | |
| 561 | + "metadata": {}, | |
| 562 | + "outputs": [ | |
| 563 | + { | |
| 564 | + "data": { | |
| 565 | + "text/plain": [ | |
| 566 | + "[1, 'a', 'b', 'c', 99]" | |
| 567 | + ] | |
| 568 | + }, | |
| 569 | + "execution_count": 88, | |
| 570 | + "metadata": {}, | |
| 571 | + "output_type": "execute_result" | |
| 572 | + } | |
| 573 | + ], | |
| 574 | + "source": [ | |
| 575 | + "a" | |
| 576 | + ] | |
| 577 | + }, | |
| 578 | + { | |
| 579 | + "cell_type": "code", | |
| 580 | + "execution_count": 89, | |
| 581 | + "id": "e23db83f", | |
| 582 | + "metadata": {}, | |
| 583 | + "outputs": [ | |
| 584 | + { | |
| 585 | + "data": { | |
| 586 | + "text/plain": [ | |
| 587 | + "[1, 'a', 'b', 'c', ['d', 'e', 'f']]" | |
| 588 | + ] | |
| 589 | + }, | |
| 590 | + "execution_count": 89, | |
| 591 | + "metadata": {}, | |
| 592 | + "output_type": "execute_result" | |
| 593 | + } | |
| 594 | + ], | |
| 595 | + "source": [ | |
| 596 | + "a[-1] = ['d', 'e', 'f']\n", | |
| 597 | + "a" | |
| 598 | + ] | |
| 599 | + }, | |
| 600 | + { | |
| 601 | + "cell_type": "code", | |
| 602 | + "execution_count": 90, | |
| 603 | + "id": "5d5242e4", | |
| 604 | + "metadata": {}, | |
| 605 | + "outputs": [ | |
| 606 | + { | |
| 607 | + "data": { | |
| 608 | + "text/plain": [ | |
| 609 | + "[1, 'a', 'b', 'c']" | |
| 610 | + ] | |
| 611 | + }, | |
| 612 | + "execution_count": 90, | |
| 613 | + "metadata": {}, | |
| 614 | + "output_type": "execute_result" | |
| 615 | + } | |
| 616 | + ], | |
| 617 | + "source": [ | |
| 618 | + "del a[-1]\n", | |
| 619 | + "a" | |
| 620 | + ] | |
| 621 | + }, | |
| 622 | + { | |
| 623 | + "cell_type": "code", | |
| 624 | + "execution_count": 91, | |
| 625 | + "id": "5bac08af", | |
| 626 | + "metadata": {}, | |
| 627 | + "outputs": [ | |
| 628 | + { | |
| 629 | + "data": { | |
| 630 | + "text/plain": [ | |
| 631 | + "[1, 'a', 'b', 'c', 5]" | |
| 632 | + ] | |
| 633 | + }, | |
| 634 | + "execution_count": 91, | |
| 635 | + "metadata": {}, | |
| 636 | + "output_type": "execute_result" | |
| 637 | + } | |
| 638 | + ], | |
| 639 | + "source": [ | |
| 640 | + "a.append(5)\n", | |
| 641 | + "a" | |
| 642 | + ] | |
| 643 | + }, | |
| 644 | + { | |
| 645 | + "cell_type": "code", | |
| 646 | + "execution_count": 95, | |
| 647 | + "id": "168ece29", | |
| 648 | + "metadata": { | |
| 649 | + "scrolled": true | |
| 650 | + }, | |
| 651 | + "outputs": [ | |
| 652 | + { | |
| 653 | + "data": { | |
| 654 | + "text/plain": [ | |
| 655 | + "['__add__',\n", | |
| 656 | + " '__class__',\n", | |
| 657 | + " '__class_getitem__',\n", | |
| 658 | + " '__contains__',\n", | |
| 659 | + " '__delattr__',\n", | |
| 660 | + " '__delitem__',\n", | |
| 661 | + " '__dir__',\n", | |
| 662 | + " '__doc__',\n", | |
| 663 | + " '__eq__',\n", | |
| 664 | + " '__format__',\n", | |
| 665 | + " '__ge__',\n", | |
| 666 | + " '__getattribute__',\n", | |
| 667 | + " '__getitem__',\n", | |
| 668 | + " '__gt__',\n", | |
| 669 | + " '__hash__',\n", | |
| 670 | + " '__iadd__',\n", | |
| 671 | + " '__imul__',\n", | |
| 672 | + " '__init__',\n", | |
| 673 | + " '__init_subclass__',\n", | |
| 674 | + " '__iter__',\n", | |
| 675 | + " '__le__',\n", | |
| 676 | + " '__len__',\n", | |
| 677 | + " '__lt__',\n", | |
| 678 | + " '__mul__',\n", | |
| 679 | + " '__ne__',\n", | |
| 680 | + " '__new__',\n", | |
| 681 | + " '__reduce__',\n", | |
| 682 | + " '__reduce_ex__',\n", | |
| 683 | + " '__repr__',\n", | |
| 684 | + " '__reversed__',\n", | |
| 685 | + " '__rmul__',\n", | |
| 686 | + " '__setattr__',\n", | |
| 687 | + " '__setitem__',\n", | |
| 688 | + " '__sizeof__',\n", | |
| 689 | + " '__str__',\n", | |
| 690 | + " '__subclasshook__',\n", | |
| 691 | + " 'append',\n", | |
| 692 | + " 'clear',\n", | |
| 693 | + " 'copy',\n", | |
| 694 | + " 'count',\n", | |
| 695 | + " 'extend',\n", | |
| 696 | + " 'index',\n", | |
| 697 | + " 'insert',\n", | |
| 698 | + " 'pop',\n", | |
| 699 | + " 'remove',\n", | |
| 700 | + " 'reverse',\n", | |
| 701 | + " 'sort']" | |
| 702 | + ] | |
| 703 | + }, | |
| 704 | + "execution_count": 95, | |
| 705 | + "metadata": {}, | |
| 706 | + "output_type": "execute_result" | |
| 707 | + } | |
| 708 | + ], | |
| 709 | + "source": [ | |
| 710 | + "dir(a)" | |
| 711 | + ] | |
| 712 | + }, | |
| 713 | + { | |
| 714 | + "cell_type": "code", | |
| 715 | + "execution_count": 101, | |
| 716 | + "id": "0a2db3b0", | |
| 717 | + "metadata": {}, | |
| 718 | + "outputs": [], | |
| 719 | + "source": [ | |
| 720 | + "a= [65, 65, 99, 8, 1, 32]\n", | |
| 721 | + "a.sort()" | |
| 722 | + ] | |
| 723 | + }, | |
| 724 | + { | |
| 725 | + "cell_type": "code", | |
| 726 | + "execution_count": 102, | |
| 727 | + "id": "38aa5194", | |
| 728 | + "metadata": {}, | |
| 729 | + "outputs": [ | |
| 730 | + { | |
| 731 | + "data": { | |
| 732 | + "text/plain": [ | |
| 733 | + "[1, 8, 32, 65, 65, 99]" | |
| 734 | + ] | |
| 735 | + }, | |
| 736 | + "execution_count": 102, | |
| 737 | + "metadata": {}, | |
| 738 | + "output_type": "execute_result" | |
| 739 | + } | |
| 740 | + ], | |
| 741 | + "source": [ | |
| 742 | + "a" | |
| 743 | + ] | |
| 744 | + }, | |
| 745 | + { | |
| 746 | + "cell_type": "code", | |
| 747 | + "execution_count": 103, | |
| 748 | + "id": "4aaafa7f", | |
| 749 | + "metadata": {}, | |
| 750 | + "outputs": [], | |
| 751 | + "source": [ | |
| 752 | + "a.reverse()" | |
| 753 | + ] | |
| 754 | + }, | |
| 755 | + { | |
| 756 | + "cell_type": "code", | |
| 757 | + "execution_count": 104, | |
| 758 | + "id": "265f3fd5", | |
| 759 | + "metadata": {}, | |
| 760 | + "outputs": [ | |
| 761 | + { | |
| 762 | + "data": { | |
| 763 | + "text/plain": [ | |
| 764 | + "[99, 65, 65, 32, 8, 1]" | |
| 765 | + ] | |
| 766 | + }, | |
| 767 | + "execution_count": 104, | |
| 768 | + "metadata": {}, | |
| 769 | + "output_type": "execute_result" | |
| 770 | + } | |
| 771 | + ], | |
| 772 | + "source": [ | |
| 773 | + "a" | |
| 774 | + ] | |
| 775 | + }, | |
| 776 | + { | |
| 777 | + "cell_type": "code", | |
| 778 | + "execution_count": 107, | |
| 779 | + "id": "157dd4a1", | |
| 780 | + "metadata": {}, | |
| 781 | + "outputs": [ | |
| 782 | + { | |
| 783 | + "data": { | |
| 784 | + "text/plain": [ | |
| 785 | + "5" | |
| 786 | + ] | |
| 787 | + }, | |
| 788 | + "execution_count": 107, | |
| 789 | + "metadata": {}, | |
| 790 | + "output_type": "execute_result" | |
| 791 | + } | |
| 792 | + ], | |
| 793 | + "source": [ | |
| 794 | + "a.index(1)" | |
| 795 | + ] | |
| 796 | + }, | |
| 797 | + { | |
| 798 | + "cell_type": "code", | |
| 799 | + "execution_count": 108, | |
| 800 | + "id": "82bcebf2", | |
| 801 | + "metadata": {}, | |
| 802 | + "outputs": [ | |
| 803 | + { | |
| 804 | + "data": { | |
| 805 | + "text/plain": [ | |
| 806 | + "[99, 65, 65, 32, 8, 1]" | |
| 807 | + ] | |
| 808 | + }, | |
| 809 | + "execution_count": 108, | |
| 810 | + "metadata": {}, | |
| 811 | + "output_type": "execute_result" | |
| 812 | + } | |
| 813 | + ], | |
| 814 | + "source": [ | |
| 815 | + "a" | |
| 816 | + ] | |
| 817 | + }, | |
| 818 | + { | |
| 819 | + "cell_type": "code", | |
| 820 | + "execution_count": 109, | |
| 821 | + "id": "0e9118f6", | |
| 822 | + "metadata": {}, | |
| 823 | + "outputs": [ | |
| 824 | + { | |
| 825 | + "data": { | |
| 826 | + "text/plain": [ | |
| 827 | + "[5, 'c', 'b', 'a', 1, 55]" | |
| 828 | + ] | |
| 829 | + }, | |
| 830 | + "execution_count": 109, | |
| 831 | + "metadata": {}, | |
| 832 | + "output_type": "execute_result" | |
| 833 | + } | |
| 834 | + ], | |
| 835 | + "source": [ | |
| 836 | + "a = [5, 'c', 'b', 'a', 1, 55]\n", | |
| 837 | + "a" | |
| 838 | + ] | |
| 839 | + }, | |
| 840 | + { | |
| 841 | + "cell_type": "code", | |
| 842 | + "execution_count": 110, | |
| 843 | + "id": "8d08f643", | |
| 844 | + "metadata": {}, | |
| 845 | + "outputs": [ | |
| 846 | + { | |
| 847 | + "data": { | |
| 848 | + "text/plain": [ | |
| 849 | + "[5, 88, 'c', 'b', 'a', 1, 55]" | |
| 850 | + ] | |
| 851 | + }, | |
| 852 | + "execution_count": 110, | |
| 853 | + "metadata": {}, | |
| 854 | + "output_type": "execute_result" | |
| 855 | + } | |
| 856 | + ], | |
| 857 | + "source": [ | |
| 858 | + "a.insert(1, 88)\n", | |
| 859 | + "a" | |
| 860 | + ] | |
| 861 | + }, | |
| 862 | + { | |
| 863 | + "cell_type": "code", | |
| 864 | + "execution_count": 111, | |
| 865 | + "id": "b717dcac", | |
| 866 | + "metadata": {}, | |
| 867 | + "outputs": [ | |
| 868 | + { | |
| 869 | + "data": { | |
| 870 | + "text/plain": [ | |
| 871 | + "[5, 88, 'c', 'b', 'Hello', 'a', 1, 55]" | |
| 872 | + ] | |
| 873 | + }, | |
| 874 | + "execution_count": 111, | |
| 875 | + "metadata": {}, | |
| 876 | + "output_type": "execute_result" | |
| 877 | + } | |
| 878 | + ], | |
| 879 | + "source": [ | |
| 880 | + "a.insert(4, \"Hello\")\n", | |
| 881 | + "a" | |
| 882 | + ] | |
| 883 | + }, | |
| 884 | + { | |
| 885 | + "cell_type": "code", | |
| 886 | + "execution_count": 112, | |
| 887 | + "id": "604d77dd", | |
| 888 | + "metadata": {}, | |
| 889 | + "outputs": [ | |
| 890 | + { | |
| 891 | + "data": { | |
| 892 | + "text/plain": [ | |
| 893 | + "[5, 'c', 'b', 'Hello', 'a', 1, 55]" | |
| 894 | + ] | |
| 895 | + }, | |
| 896 | + "execution_count": 112, | |
| 897 | + "metadata": {}, | |
| 898 | + "output_type": "execute_result" | |
| 899 | + } | |
| 900 | + ], | |
| 901 | + "source": [ | |
| 902 | + "del a[1]\n", | |
| 903 | + "a" | |
| 904 | + ] | |
| 905 | + }, | |
| 906 | + { | |
| 907 | + "cell_type": "code", | |
| 908 | + "execution_count": 113, | |
| 909 | + "id": "de2baeaf", | |
| 910 | + "metadata": {}, | |
| 911 | + "outputs": [], | |
| 912 | + "source": [ | |
| 913 | + "a.remove('Hello')" | |
| 914 | + ] | |
| 915 | + }, | |
| 916 | + { | |
| 917 | + "cell_type": "code", | |
| 918 | + "execution_count": 114, | |
| 919 | + "id": "b1679dcf", | |
| 920 | + "metadata": {}, | |
| 921 | + "outputs": [ | |
| 922 | + { | |
| 923 | + "data": { | |
| 924 | + "text/plain": [ | |
| 925 | + "[5, 'c', 'b', 'a', 1, 55]" | |
| 926 | + ] | |
| 927 | + }, | |
| 928 | + "execution_count": 114, | |
| 929 | + "metadata": {}, | |
| 930 | + "output_type": "execute_result" | |
| 931 | + } | |
| 932 | + ], | |
| 933 | + "source": [ | |
| 934 | + "a" | |
| 935 | + ] | |
| 936 | + }, | |
| 937 | + { | |
| 938 | + "cell_type": "code", | |
| 939 | + "execution_count": null, | |
| 940 | + "id": "69927842", | |
| 941 | + "metadata": {}, | |
| 942 | + "outputs": [], | |
| 943 | + "source": [] | |
| 944 | + }, | |
| 945 | + { | |
| 946 | + "cell_type": "code", | |
| 947 | + "execution_count": null, | |
| 948 | + "id": "702e5b62", | |
| 949 | + "metadata": {}, | |
| 950 | + "outputs": [], | |
| 951 | + "source": [] | |
| 952 | + }, | |
| 953 | + { | |
| 954 | + "cell_type": "code", | |
| 955 | + "execution_count": null, | |
| 956 | + "id": "7c304140", | |
| 957 | + "metadata": {}, | |
| 958 | + "outputs": [], | |
| 959 | + "source": [] | |
| 960 | + }, | |
| 961 | + { | |
| 962 | + "cell_type": "code", | |
| 963 | + "execution_count": null, | |
| 964 | + "id": "3d5e038d", | |
| 965 | + "metadata": {}, | |
| 966 | + "outputs": [], | |
| 967 | + "source": [] | |
| 968 | + }, | |
| 969 | + { | |
| 970 | + "cell_type": "code", | |
| 971 | + "execution_count": null, | |
| 972 | + "id": "b82f2523", | |
| 973 | + "metadata": {}, | |
| 974 | + "outputs": [], | |
| 975 | + "source": [] | |
| 976 | + }, | |
| 977 | + { | |
| 978 | + "cell_type": "code", | |
| 979 | + "execution_count": null, | |
| 980 | + "id": "a04aa98c", | |
| 981 | + "metadata": {}, | |
| 982 | + "outputs": [], | |
| 983 | + "source": [] | |
| 984 | + }, | |
| 985 | + { | |
| 986 | + "cell_type": "code", | |
| 987 | + "execution_count": null, | |
| 988 | + "id": "2c00c223", | |
| 989 | + "metadata": {}, | |
| 990 | + "outputs": [], | |
| 991 | + "source": [] | |
| 992 | + }, | |
| 993 | + { | |
| 994 | + "cell_type": "code", | |
| 995 | + "execution_count": null, | |
| 996 | + "id": "e4f1ff19", | |
| 997 | + "metadata": {}, | |
| 998 | + "outputs": [], | |
| 999 | + "source": [] | |
| 1000 | + }, | |
| 1001 | + { | |
| 1002 | + "cell_type": "code", | |
| 1003 | + "execution_count": null, | |
| 1004 | + "id": "5195397a", | |
| 1005 | + "metadata": {}, | |
| 1006 | + "outputs": [], | |
| 1007 | + "source": [] | |
| 1008 | + }, | |
| 1009 | + { | |
| 1010 | + "cell_type": "code", | |
| 1011 | + "execution_count": null, | |
| 1012 | + "id": "62f42eb5", | |
| 1013 | + "metadata": {}, | |
| 1014 | + "outputs": [], | |
| 1015 | + "source": [] | |
| 1016 | + }, | |
| 1017 | + { | |
| 1018 | + "cell_type": "code", | |
| 1019 | + "execution_count": null, | |
| 1020 | + "id": "44eaef61", | |
| 1021 | + "metadata": {}, | |
| 1022 | + "outputs": [], | |
| 1023 | + "source": [] | |
| 1024 | + }, | |
| 1025 | + { | |
| 1026 | + "cell_type": "code", | |
| 1027 | + "execution_count": null, | |
| 1028 | + "id": "a75af6bc", | |
| 1029 | + "metadata": {}, | |
| 1030 | + "outputs": [], | |
| 1031 | + "source": [] | |
| 1032 | + }, | |
| 1033 | + { | |
| 1034 | + "cell_type": "code", | |
| 1035 | + "execution_count": null, | |
| 1036 | + "id": "f75e538b", | |
| 1037 | + "metadata": {}, | |
| 1038 | + "outputs": [], | |
| 1039 | + "source": [] | |
| 1040 | + }, | |
| 1041 | + { | |
| 1042 | + "cell_type": "code", | |
| 1043 | + "execution_count": null, | |
| 1044 | + "id": "0a7b9318", | |
| 1045 | + "metadata": {}, | |
| 1046 | + "outputs": [], | |
| 1047 | + "source": [] | |
| 1048 | + } | |
| 1049 | + ], | |
| 1050 | + "metadata": { | |
| 1051 | + "kernelspec": { | |
| 1052 | + "display_name": "Python 3 (ipykernel)", | |
| 1053 | + "language": "python", | |
| 1054 | + "name": "python3" | |
| 1055 | + }, | |
| 1056 | + "language_info": { | |
| 1057 | + "codemirror_mode": { | |
| 1058 | + "name": "ipython", | |
| 1059 | + "version": 3 | |
| 1060 | + }, | |
| 1061 | + "file_extension": ".py", | |
| 1062 | + "mimetype": "text/x-python", | |
| 1063 | + "name": "python", | |
| 1064 | + "nbconvert_exporter": "python", | |
| 1065 | + "pygments_lexer": "ipython3", | |
| 1066 | + "version": "3.9.7" | |
| 1067 | + } | |
| 1068 | + }, | |
| 1069 | + "nbformat": 4, | |
| 1070 | + "nbformat_minor": 5 | |
| 1071 | +} |
+++ 20220404/.ipynb_checkpoints/tuple-checkpoint.ipynb
... | ... | @@ -0,0 +1,622 @@ |
| 1 | +{ | |
| 2 | + "cells": [ | |
| 3 | + { | |
| 4 | + "cell_type": "code", | |
| 5 | + "execution_count": 33, | |
| 6 | + "id": "72425bc5", | |
| 7 | + "metadata": {}, | |
| 8 | + "outputs": [ | |
| 9 | + { | |
| 10 | + "data": { | |
| 11 | + "text/plain": [ | |
| 12 | + "(1,)" | |
| 13 | + ] | |
| 14 | + }, | |
| 15 | + "execution_count": 33, | |
| 16 | + "metadata": {}, | |
| 17 | + "output_type": "execute_result" | |
| 18 | + } | |
| 19 | + ], | |
| 20 | + "source": [ | |
| 21 | + "t1 = (1, )\n", | |
| 22 | + "t1" | |
| 23 | + ] | |
| 24 | + }, | |
| 25 | + { | |
| 26 | + "cell_type": "code", | |
| 27 | + "execution_count": 34, | |
| 28 | + "id": "1b714f42", | |
| 29 | + "metadata": {}, | |
| 30 | + "outputs": [ | |
| 31 | + { | |
| 32 | + "data": { | |
| 33 | + "text/plain": [ | |
| 34 | + "(1, 2, 3)" | |
| 35 | + ] | |
| 36 | + }, | |
| 37 | + "execution_count": 34, | |
| 38 | + "metadata": {}, | |
| 39 | + "output_type": "execute_result" | |
| 40 | + } | |
| 41 | + ], | |
| 42 | + "source": [ | |
| 43 | + "# Tuple Must in '()'\n", | |
| 44 | + "t2 = (1, 2, 3)\n", | |
| 45 | + "t3 = 1, 2, 3\n", | |
| 46 | + "t2\n", | |
| 47 | + "t3" | |
| 48 | + ] | |
| 49 | + }, | |
| 50 | + { | |
| 51 | + "cell_type": "code", | |
| 52 | + "execution_count": 35, | |
| 53 | + "id": "7102fafb", | |
| 54 | + "metadata": {}, | |
| 55 | + "outputs": [ | |
| 56 | + { | |
| 57 | + "data": { | |
| 58 | + "text/plain": [ | |
| 59 | + "(1, 2, (3, 4), ('Life', 'is'))" | |
| 60 | + ] | |
| 61 | + }, | |
| 62 | + "execution_count": 35, | |
| 63 | + "metadata": {}, | |
| 64 | + "output_type": "execute_result" | |
| 65 | + } | |
| 66 | + ], | |
| 67 | + "source": [ | |
| 68 | + "t4 = (1, 2, (3, 4), ('Life', 'is'))\n", | |
| 69 | + "t4" | |
| 70 | + ] | |
| 71 | + }, | |
| 72 | + { | |
| 73 | + "cell_type": "code", | |
| 74 | + "execution_count": 36, | |
| 75 | + "id": "7ef38820", | |
| 76 | + "metadata": {}, | |
| 77 | + "outputs": [ | |
| 78 | + { | |
| 79 | + "data": { | |
| 80 | + "text/plain": [ | |
| 81 | + "4" | |
| 82 | + ] | |
| 83 | + }, | |
| 84 | + "execution_count": 36, | |
| 85 | + "metadata": {}, | |
| 86 | + "output_type": "execute_result" | |
| 87 | + } | |
| 88 | + ], | |
| 89 | + "source": [ | |
| 90 | + "t4[2][-1]" | |
| 91 | + ] | |
| 92 | + }, | |
| 93 | + { | |
| 94 | + "cell_type": "code", | |
| 95 | + "execution_count": 37, | |
| 96 | + "id": "13b2d9c0", | |
| 97 | + "metadata": {}, | |
| 98 | + "outputs": [ | |
| 99 | + { | |
| 100 | + "data": { | |
| 101 | + "text/plain": [ | |
| 102 | + "(1, 1, 2, 3)" | |
| 103 | + ] | |
| 104 | + }, | |
| 105 | + "execution_count": 37, | |
| 106 | + "metadata": {}, | |
| 107 | + "output_type": "execute_result" | |
| 108 | + } | |
| 109 | + ], | |
| 110 | + "source": [ | |
| 111 | + "t1 + t2" | |
| 112 | + ] | |
| 113 | + }, | |
| 114 | + { | |
| 115 | + "cell_type": "code", | |
| 116 | + "execution_count": 38, | |
| 117 | + "id": "48625967", | |
| 118 | + "metadata": {}, | |
| 119 | + "outputs": [ | |
| 120 | + { | |
| 121 | + "data": { | |
| 122 | + "text/plain": [ | |
| 123 | + "(1, 2, 3, 1, 2, 3, 1, 2, 3)" | |
| 124 | + ] | |
| 125 | + }, | |
| 126 | + "execution_count": 38, | |
| 127 | + "metadata": {}, | |
| 128 | + "output_type": "execute_result" | |
| 129 | + } | |
| 130 | + ], | |
| 131 | + "source": [ | |
| 132 | + "t2 * 3" | |
| 133 | + ] | |
| 134 | + }, | |
| 135 | + { | |
| 136 | + "cell_type": "code", | |
| 137 | + "execution_count": 39, | |
| 138 | + "id": "c948876e", | |
| 139 | + "metadata": {}, | |
| 140 | + "outputs": [ | |
| 141 | + { | |
| 142 | + "data": { | |
| 143 | + "text/plain": [ | |
| 144 | + "{'name': 'Hong', 'phone': '01012345678', 'birth': '0814'}" | |
| 145 | + ] | |
| 146 | + }, | |
| 147 | + "execution_count": 39, | |
| 148 | + "metadata": {}, | |
| 149 | + "output_type": "execute_result" | |
| 150 | + } | |
| 151 | + ], | |
| 152 | + "source": [ | |
| 153 | + "dic = {'name':'Hong', 'phone':'01012345678', 'birth':'0814'}\n", | |
| 154 | + "dic" | |
| 155 | + ] | |
| 156 | + }, | |
| 157 | + { | |
| 158 | + "cell_type": "code", | |
| 159 | + "execution_count": 40, | |
| 160 | + "id": "24a5d503", | |
| 161 | + "metadata": {}, | |
| 162 | + "outputs": [ | |
| 163 | + { | |
| 164 | + "data": { | |
| 165 | + "text/plain": [ | |
| 166 | + "'Hong'" | |
| 167 | + ] | |
| 168 | + }, | |
| 169 | + "execution_count": 40, | |
| 170 | + "metadata": {}, | |
| 171 | + "output_type": "execute_result" | |
| 172 | + } | |
| 173 | + ], | |
| 174 | + "source": [ | |
| 175 | + "dic['name']" | |
| 176 | + ] | |
| 177 | + }, | |
| 178 | + { | |
| 179 | + "cell_type": "code", | |
| 180 | + "execution_count": 41, | |
| 181 | + "id": "5209ec19", | |
| 182 | + "metadata": {}, | |
| 183 | + "outputs": [ | |
| 184 | + { | |
| 185 | + "data": { | |
| 186 | + "text/plain": [ | |
| 187 | + "'01012345678'" | |
| 188 | + ] | |
| 189 | + }, | |
| 190 | + "execution_count": 41, | |
| 191 | + "metadata": {}, | |
| 192 | + "output_type": "execute_result" | |
| 193 | + } | |
| 194 | + ], | |
| 195 | + "source": [ | |
| 196 | + "dic['phone']" | |
| 197 | + ] | |
| 198 | + }, | |
| 199 | + { | |
| 200 | + "cell_type": "code", | |
| 201 | + "execution_count": 42, | |
| 202 | + "id": "8c66ad44", | |
| 203 | + "metadata": {}, | |
| 204 | + "outputs": [ | |
| 205 | + { | |
| 206 | + "data": { | |
| 207 | + "text/plain": [ | |
| 208 | + "'0814'" | |
| 209 | + ] | |
| 210 | + }, | |
| 211 | + "execution_count": 42, | |
| 212 | + "metadata": {}, | |
| 213 | + "output_type": "execute_result" | |
| 214 | + } | |
| 215 | + ], | |
| 216 | + "source": [ | |
| 217 | + "dic['birth']" | |
| 218 | + ] | |
| 219 | + }, | |
| 220 | + { | |
| 221 | + "cell_type": "code", | |
| 222 | + "execution_count": 43, | |
| 223 | + "id": "d75ac067", | |
| 224 | + "metadata": {}, | |
| 225 | + "outputs": [ | |
| 226 | + { | |
| 227 | + "data": { | |
| 228 | + "text/plain": [ | |
| 229 | + "{'name': 'Hong', 'phone': '01012345678', 'birth': '0814', 1: 'a'}" | |
| 230 | + ] | |
| 231 | + }, | |
| 232 | + "execution_count": 43, | |
| 233 | + "metadata": {}, | |
| 234 | + "output_type": "execute_result" | |
| 235 | + } | |
| 236 | + ], | |
| 237 | + "source": [ | |
| 238 | + "dic[1] = 'a'\n", | |
| 239 | + "dic" | |
| 240 | + ] | |
| 241 | + }, | |
| 242 | + { | |
| 243 | + "cell_type": "code", | |
| 244 | + "execution_count": 44, | |
| 245 | + "id": "1c9a62b8", | |
| 246 | + "metadata": {}, | |
| 247 | + "outputs": [], | |
| 248 | + "source": [ | |
| 249 | + "dic['pet'] = 'dog'" | |
| 250 | + ] | |
| 251 | + }, | |
| 252 | + { | |
| 253 | + "cell_type": "code", | |
| 254 | + "execution_count": 45, | |
| 255 | + "id": "28e960d9", | |
| 256 | + "metadata": {}, | |
| 257 | + "outputs": [ | |
| 258 | + { | |
| 259 | + "data": { | |
| 260 | + "text/plain": [ | |
| 261 | + "{'name': 'Hong', 'phone': '01012345678', 'birth': '0814', 1: 'a', 'pet': 'dog'}" | |
| 262 | + ] | |
| 263 | + }, | |
| 264 | + "execution_count": 45, | |
| 265 | + "metadata": {}, | |
| 266 | + "output_type": "execute_result" | |
| 267 | + } | |
| 268 | + ], | |
| 269 | + "source": [ | |
| 270 | + "dic" | |
| 271 | + ] | |
| 272 | + }, | |
| 273 | + { | |
| 274 | + "cell_type": "code", | |
| 275 | + "execution_count": 46, | |
| 276 | + "id": "94836ccf", | |
| 277 | + "metadata": {}, | |
| 278 | + "outputs": [ | |
| 279 | + { | |
| 280 | + "data": { | |
| 281 | + "text/plain": [ | |
| 282 | + "{'name': 'Hong', 'phone': '01012345678', 'birth': '0814', 'pet': 'dog'}" | |
| 283 | + ] | |
| 284 | + }, | |
| 285 | + "execution_count": 46, | |
| 286 | + "metadata": {}, | |
| 287 | + "output_type": "execute_result" | |
| 288 | + } | |
| 289 | + ], | |
| 290 | + "source": [ | |
| 291 | + "del dic[1]\n", | |
| 292 | + "dic" | |
| 293 | + ] | |
| 294 | + }, | |
| 295 | + { | |
| 296 | + "cell_type": "code", | |
| 297 | + "execution_count": 47, | |
| 298 | + "id": "9d650023", | |
| 299 | + "metadata": {}, | |
| 300 | + "outputs": [ | |
| 301 | + { | |
| 302 | + "data": { | |
| 303 | + "text/plain": [ | |
| 304 | + "dict_keys(['name', 'phone', 'birth', 'pet'])" | |
| 305 | + ] | |
| 306 | + }, | |
| 307 | + "execution_count": 47, | |
| 308 | + "metadata": {}, | |
| 309 | + "output_type": "execute_result" | |
| 310 | + } | |
| 311 | + ], | |
| 312 | + "source": [ | |
| 313 | + "dic.keys()" | |
| 314 | + ] | |
| 315 | + }, | |
| 316 | + { | |
| 317 | + "cell_type": "code", | |
| 318 | + "execution_count": 48, | |
| 319 | + "id": "979161a7", | |
| 320 | + "metadata": {}, | |
| 321 | + "outputs": [ | |
| 322 | + { | |
| 323 | + "data": { | |
| 324 | + "text/plain": [ | |
| 325 | + "['name', 'phone', 'birth', 'pet']" | |
| 326 | + ] | |
| 327 | + }, | |
| 328 | + "execution_count": 48, | |
| 329 | + "metadata": {}, | |
| 330 | + "output_type": "execute_result" | |
| 331 | + } | |
| 332 | + ], | |
| 333 | + "source": [ | |
| 334 | + "list(dic.keys())" | |
| 335 | + ] | |
| 336 | + }, | |
| 337 | + { | |
| 338 | + "cell_type": "code", | |
| 339 | + "execution_count": 49, | |
| 340 | + "id": "ebb6e9e3", | |
| 341 | + "metadata": {}, | |
| 342 | + "outputs": [ | |
| 343 | + { | |
| 344 | + "data": { | |
| 345 | + "text/plain": [ | |
| 346 | + "dict_values(['Hong', '01012345678', '0814', 'dog'])" | |
| 347 | + ] | |
| 348 | + }, | |
| 349 | + "execution_count": 49, | |
| 350 | + "metadata": {}, | |
| 351 | + "output_type": "execute_result" | |
| 352 | + } | |
| 353 | + ], | |
| 354 | + "source": [ | |
| 355 | + "dic.values()" | |
| 356 | + ] | |
| 357 | + }, | |
| 358 | + { | |
| 359 | + "cell_type": "code", | |
| 360 | + "execution_count": 50, | |
| 361 | + "id": "d0d7892b", | |
| 362 | + "metadata": {}, | |
| 363 | + "outputs": [ | |
| 364 | + { | |
| 365 | + "data": { | |
| 366 | + "text/plain": [ | |
| 367 | + "['Hong', '01012345678', '0814', 'dog']" | |
| 368 | + ] | |
| 369 | + }, | |
| 370 | + "execution_count": 50, | |
| 371 | + "metadata": {}, | |
| 372 | + "output_type": "execute_result" | |
| 373 | + } | |
| 374 | + ], | |
| 375 | + "source": [ | |
| 376 | + "list(dic.values())" | |
| 377 | + ] | |
| 378 | + }, | |
| 379 | + { | |
| 380 | + "cell_type": "code", | |
| 381 | + "execution_count": 51, | |
| 382 | + "id": "a9001930", | |
| 383 | + "metadata": {}, | |
| 384 | + "outputs": [ | |
| 385 | + { | |
| 386 | + "data": { | |
| 387 | + "text/plain": [ | |
| 388 | + "dict_items([('name', 'Hong'), ('phone', '01012345678'), ('birth', '0814'), ('pet', 'dog')])" | |
| 389 | + ] | |
| 390 | + }, | |
| 391 | + "execution_count": 51, | |
| 392 | + "metadata": {}, | |
| 393 | + "output_type": "execute_result" | |
| 394 | + } | |
| 395 | + ], | |
| 396 | + "source": [ | |
| 397 | + "dic.items()" | |
| 398 | + ] | |
| 399 | + }, | |
| 400 | + { | |
| 401 | + "cell_type": "code", | |
| 402 | + "execution_count": 52, | |
| 403 | + "id": "4e542b31", | |
| 404 | + "metadata": {}, | |
| 405 | + "outputs": [], | |
| 406 | + "source": [ | |
| 407 | + "dic[4] = 'b'" | |
| 408 | + ] | |
| 409 | + }, | |
| 410 | + { | |
| 411 | + "cell_type": "code", | |
| 412 | + "execution_count": 53, | |
| 413 | + "id": "b5498318", | |
| 414 | + "metadata": {}, | |
| 415 | + "outputs": [ | |
| 416 | + { | |
| 417 | + "data": { | |
| 418 | + "text/plain": [ | |
| 419 | + "{'name': 'Hong', 'phone': '01012345678', 'birth': '0814', 'pet': 'dog', 4: 'b'}" | |
| 420 | + ] | |
| 421 | + }, | |
| 422 | + "execution_count": 53, | |
| 423 | + "metadata": {}, | |
| 424 | + "output_type": "execute_result" | |
| 425 | + } | |
| 426 | + ], | |
| 427 | + "source": [ | |
| 428 | + "dic" | |
| 429 | + ] | |
| 430 | + }, | |
| 431 | + { | |
| 432 | + "cell_type": "code", | |
| 433 | + "execution_count": 54, | |
| 434 | + "id": "fe6c03cf", | |
| 435 | + "metadata": {}, | |
| 436 | + "outputs": [], | |
| 437 | + "source": [ | |
| 438 | + "dic[1] = 'a'" | |
| 439 | + ] | |
| 440 | + }, | |
| 441 | + { | |
| 442 | + "cell_type": "code", | |
| 443 | + "execution_count": 55, | |
| 444 | + "id": "993e32a4", | |
| 445 | + "metadata": {}, | |
| 446 | + "outputs": [ | |
| 447 | + { | |
| 448 | + "data": { | |
| 449 | + "text/plain": [ | |
| 450 | + "{'name': 'Hong',\n", | |
| 451 | + " 'phone': '01012345678',\n", | |
| 452 | + " 'birth': '0814',\n", | |
| 453 | + " 'pet': 'dog',\n", | |
| 454 | + " 4: 'b',\n", | |
| 455 | + " 1: 'a'}" | |
| 456 | + ] | |
| 457 | + }, | |
| 458 | + "execution_count": 55, | |
| 459 | + "metadata": {}, | |
| 460 | + "output_type": "execute_result" | |
| 461 | + } | |
| 462 | + ], | |
| 463 | + "source": [ | |
| 464 | + "dic" | |
| 465 | + ] | |
| 466 | + }, | |
| 467 | + { | |
| 468 | + "cell_type": "code", | |
| 469 | + "execution_count": 56, | |
| 470 | + "id": "dd837c27", | |
| 471 | + "metadata": {}, | |
| 472 | + "outputs": [], | |
| 473 | + "source": [ | |
| 474 | + "dic['area'] = 'kr'" | |
| 475 | + ] | |
| 476 | + }, | |
| 477 | + { | |
| 478 | + "cell_type": "code", | |
| 479 | + "execution_count": 57, | |
| 480 | + "id": "ca182035", | |
| 481 | + "metadata": {}, | |
| 482 | + "outputs": [ | |
| 483 | + { | |
| 484 | + "data": { | |
| 485 | + "text/plain": [ | |
| 486 | + "{'name': 'Hong',\n", | |
| 487 | + " 'phone': '01012345678',\n", | |
| 488 | + " 'birth': '0814',\n", | |
| 489 | + " 'pet': 'dog',\n", | |
| 490 | + " 4: 'b',\n", | |
| 491 | + " 1: 'a',\n", | |
| 492 | + " 'area': 'kr'}" | |
| 493 | + ] | |
| 494 | + }, | |
| 495 | + "execution_count": 57, | |
| 496 | + "metadata": {}, | |
| 497 | + "output_type": "execute_result" | |
| 498 | + } | |
| 499 | + ], | |
| 500 | + "source": [ | |
| 501 | + "dic" | |
| 502 | + ] | |
| 503 | + }, | |
| 504 | + { | |
| 505 | + "cell_type": "code", | |
| 506 | + "execution_count": null, | |
| 507 | + "id": "caeedcc4", | |
| 508 | + "metadata": {}, | |
| 509 | + "outputs": [], | |
| 510 | + "source": [] | |
| 511 | + }, | |
| 512 | + { | |
| 513 | + "cell_type": "code", | |
| 514 | + "execution_count": null, | |
| 515 | + "id": "c4a84a53", | |
| 516 | + "metadata": {}, | |
| 517 | + "outputs": [], | |
| 518 | + "source": [] | |
| 519 | + }, | |
| 520 | + { | |
| 521 | + "cell_type": "code", | |
| 522 | + "execution_count": null, | |
| 523 | + "id": "ae7cd89b", | |
| 524 | + "metadata": {}, | |
| 525 | + "outputs": [], | |
| 526 | + "source": [] | |
| 527 | + }, | |
| 528 | + { | |
| 529 | + "cell_type": "code", | |
| 530 | + "execution_count": null, | |
| 531 | + "id": "dade6dc3", | |
| 532 | + "metadata": {}, | |
| 533 | + "outputs": [], | |
| 534 | + "source": [] | |
| 535 | + }, | |
| 536 | + { | |
| 537 | + "cell_type": "code", | |
| 538 | + "execution_count": null, | |
| 539 | + "id": "bebcd6c7", | |
| 540 | + "metadata": {}, | |
| 541 | + "outputs": [], | |
| 542 | + "source": [] | |
| 543 | + }, | |
| 544 | + { | |
| 545 | + "cell_type": "code", | |
| 546 | + "execution_count": null, | |
| 547 | + "id": "d47497b4", | |
| 548 | + "metadata": {}, | |
| 549 | + "outputs": [], | |
| 550 | + "source": [] | |
| 551 | + }, | |
| 552 | + { | |
| 553 | + "cell_type": "code", | |
| 554 | + "execution_count": null, | |
| 555 | + "id": "1253420a", | |
| 556 | + "metadata": {}, | |
| 557 | + "outputs": [], | |
| 558 | + "source": [] | |
| 559 | + }, | |
| 560 | + { | |
| 561 | + "cell_type": "code", | |
| 562 | + "execution_count": null, | |
| 563 | + "id": "b2a2618f", | |
| 564 | + "metadata": {}, | |
| 565 | + "outputs": [], | |
| 566 | + "source": [] | |
| 567 | + }, | |
| 568 | + { | |
| 569 | + "cell_type": "code", | |
| 570 | + "execution_count": null, | |
| 571 | + "id": "32ba3a15", | |
| 572 | + "metadata": {}, | |
| 573 | + "outputs": [], | |
| 574 | + "source": [] | |
| 575 | + }, | |
| 576 | + { | |
| 577 | + "cell_type": "code", | |
| 578 | + "execution_count": null, | |
| 579 | + "id": "2f5a27b1", | |
| 580 | + "metadata": {}, | |
| 581 | + "outputs": [], | |
| 582 | + "source": [] | |
| 583 | + }, | |
| 584 | + { | |
| 585 | + "cell_type": "code", | |
| 586 | + "execution_count": null, | |
| 587 | + "id": "eb7fbfb7", | |
| 588 | + "metadata": {}, | |
| 589 | + "outputs": [], | |
| 590 | + "source": [] | |
| 591 | + }, | |
| 592 | + { | |
| 593 | + "cell_type": "code", | |
| 594 | + "execution_count": null, | |
| 595 | + "id": "e76d80c4", | |
| 596 | + "metadata": {}, | |
| 597 | + "outputs": [], | |
| 598 | + "source": [] | |
| 599 | + } | |
| 600 | + ], | |
| 601 | + "metadata": { | |
| 602 | + "kernelspec": { | |
| 603 | + "display_name": "Python 3 (ipykernel)", | |
| 604 | + "language": "python", | |
| 605 | + "name": "python3" | |
| 606 | + }, | |
| 607 | + "language_info": { | |
| 608 | + "codemirror_mode": { | |
| 609 | + "name": "ipython", | |
| 610 | + "version": 3 | |
| 611 | + }, | |
| 612 | + "file_extension": ".py", | |
| 613 | + "mimetype": "text/x-python", | |
| 614 | + "name": "python", | |
| 615 | + "nbconvert_exporter": "python", | |
| 616 | + "pygments_lexer": "ipython3", | |
| 617 | + "version": "3.9.7" | |
| 618 | + } | |
| 619 | + }, | |
| 620 | + "nbformat": 4, | |
| 621 | + "nbformat_minor": 5 | |
| 622 | +} |
+++ 20220404/list.ipynb
... | ... | @@ -0,0 +1,1071 @@ |
| 1 | +{ | |
| 2 | + "cells": [ | |
| 3 | + { | |
| 4 | + "cell_type": "code", | |
| 5 | + "execution_count": 27, | |
| 6 | + "id": "8cde316d", | |
| 7 | + "metadata": {}, | |
| 8 | + "outputs": [ | |
| 9 | + { | |
| 10 | + "data": { | |
| 11 | + "text/plain": [ | |
| 12 | + "[1, 2, 3]" | |
| 13 | + ] | |
| 14 | + }, | |
| 15 | + "execution_count": 27, | |
| 16 | + "metadata": {}, | |
| 17 | + "output_type": "execute_result" | |
| 18 | + } | |
| 19 | + ], | |
| 20 | + "source": [ | |
| 21 | + "a = [1, 2, 3]\n", | |
| 22 | + "a" | |
| 23 | + ] | |
| 24 | + }, | |
| 25 | + { | |
| 26 | + "cell_type": "code", | |
| 27 | + "execution_count": 28, | |
| 28 | + "id": "31a658b6", | |
| 29 | + "metadata": {}, | |
| 30 | + "outputs": [ | |
| 31 | + { | |
| 32 | + "data": { | |
| 33 | + "text/plain": [ | |
| 34 | + "['Life', ' is', 'too', 'short']" | |
| 35 | + ] | |
| 36 | + }, | |
| 37 | + "execution_count": 28, | |
| 38 | + "metadata": {}, | |
| 39 | + "output_type": "execute_result" | |
| 40 | + } | |
| 41 | + ], | |
| 42 | + "source": [ | |
| 43 | + "b = [\"Life\", \" is\", \"too\", \"short\"]\n", | |
| 44 | + "b" | |
| 45 | + ] | |
| 46 | + }, | |
| 47 | + { | |
| 48 | + "cell_type": "code", | |
| 49 | + "execution_count": 29, | |
| 50 | + "id": "af028ec4", | |
| 51 | + "metadata": {}, | |
| 52 | + "outputs": [ | |
| 53 | + { | |
| 54 | + "data": { | |
| 55 | + "text/plain": [ | |
| 56 | + "[1, 2, 'Life', 'is']" | |
| 57 | + ] | |
| 58 | + }, | |
| 59 | + "execution_count": 29, | |
| 60 | + "metadata": {}, | |
| 61 | + "output_type": "execute_result" | |
| 62 | + } | |
| 63 | + ], | |
| 64 | + "source": [ | |
| 65 | + "c = [1, 2, \"Life\", \"is\"]\n", | |
| 66 | + "c" | |
| 67 | + ] | |
| 68 | + }, | |
| 69 | + { | |
| 70 | + "cell_type": "code", | |
| 71 | + "execution_count": 30, | |
| 72 | + "id": "aed75dc2", | |
| 73 | + "metadata": {}, | |
| 74 | + "outputs": [ | |
| 75 | + { | |
| 76 | + "data": { | |
| 77 | + "text/plain": [ | |
| 78 | + "[1, 2, [3, 4], ['Life', 'is']]" | |
| 79 | + ] | |
| 80 | + }, | |
| 81 | + "execution_count": 30, | |
| 82 | + "metadata": {}, | |
| 83 | + "output_type": "execute_result" | |
| 84 | + } | |
| 85 | + ], | |
| 86 | + "source": [ | |
| 87 | + "d = [1, 2, [3, 4], [\"Life\", \"is\"]]\n", | |
| 88 | + "d" | |
| 89 | + ] | |
| 90 | + }, | |
| 91 | + { | |
| 92 | + "cell_type": "code", | |
| 93 | + "execution_count": 32, | |
| 94 | + "id": "b9d56702", | |
| 95 | + "metadata": { | |
| 96 | + "collapsed": true | |
| 97 | + }, | |
| 98 | + "outputs": [ | |
| 99 | + { | |
| 100 | + "data": { | |
| 101 | + "text/plain": [ | |
| 102 | + "2" | |
| 103 | + ] | |
| 104 | + }, | |
| 105 | + "execution_count": 32, | |
| 106 | + "metadata": {}, | |
| 107 | + "output_type": "execute_result" | |
| 108 | + } | |
| 109 | + ], | |
| 110 | + "source": [ | |
| 111 | + "a[1]" | |
| 112 | + ] | |
| 113 | + }, | |
| 114 | + { | |
| 115 | + "cell_type": "code", | |
| 116 | + "execution_count": 33, | |
| 117 | + "id": "2fdf5bdd", | |
| 118 | + "metadata": { | |
| 119 | + "collapsed": true | |
| 120 | + }, | |
| 121 | + "outputs": [ | |
| 122 | + { | |
| 123 | + "data": { | |
| 124 | + "text/plain": [ | |
| 125 | + "'short'" | |
| 126 | + ] | |
| 127 | + }, | |
| 128 | + "execution_count": 33, | |
| 129 | + "metadata": {}, | |
| 130 | + "output_type": "execute_result" | |
| 131 | + } | |
| 132 | + ], | |
| 133 | + "source": [ | |
| 134 | + "b[-1]" | |
| 135 | + ] | |
| 136 | + }, | |
| 137 | + { | |
| 138 | + "cell_type": "code", | |
| 139 | + "execution_count": 37, | |
| 140 | + "id": "a1e6399b", | |
| 141 | + "metadata": { | |
| 142 | + "collapsed": true | |
| 143 | + }, | |
| 144 | + "outputs": [ | |
| 145 | + { | |
| 146 | + "data": { | |
| 147 | + "text/plain": [ | |
| 148 | + "4" | |
| 149 | + ] | |
| 150 | + }, | |
| 151 | + "execution_count": 37, | |
| 152 | + "metadata": {}, | |
| 153 | + "output_type": "execute_result" | |
| 154 | + } | |
| 155 | + ], | |
| 156 | + "source": [ | |
| 157 | + "d[2][-1]" | |
| 158 | + ] | |
| 159 | + }, | |
| 160 | + { | |
| 161 | + "cell_type": "code", | |
| 162 | + "execution_count": 40, | |
| 163 | + "id": "698645c1", | |
| 164 | + "metadata": { | |
| 165 | + "collapsed": true | |
| 166 | + }, | |
| 167 | + "outputs": [ | |
| 168 | + { | |
| 169 | + "data": { | |
| 170 | + "text/plain": [ | |
| 171 | + "['Life', 'is']" | |
| 172 | + ] | |
| 173 | + }, | |
| 174 | + "execution_count": 40, | |
| 175 | + "metadata": {}, | |
| 176 | + "output_type": "execute_result" | |
| 177 | + } | |
| 178 | + ], | |
| 179 | + "source": [ | |
| 180 | + "d[-1]" | |
| 181 | + ] | |
| 182 | + }, | |
| 183 | + { | |
| 184 | + "cell_type": "code", | |
| 185 | + "execution_count": 43, | |
| 186 | + "id": "9a0e2d6f", | |
| 187 | + "metadata": { | |
| 188 | + "collapsed": true | |
| 189 | + }, | |
| 190 | + "outputs": [ | |
| 191 | + { | |
| 192 | + "data": { | |
| 193 | + "text/plain": [ | |
| 194 | + "'Life'" | |
| 195 | + ] | |
| 196 | + }, | |
| 197 | + "execution_count": 43, | |
| 198 | + "metadata": {}, | |
| 199 | + "output_type": "execute_result" | |
| 200 | + } | |
| 201 | + ], | |
| 202 | + "source": [ | |
| 203 | + "d[-1][-2]" | |
| 204 | + ] | |
| 205 | + }, | |
| 206 | + { | |
| 207 | + "cell_type": "code", | |
| 208 | + "execution_count": 44, | |
| 209 | + "id": "f557f756", | |
| 210 | + "metadata": { | |
| 211 | + "collapsed": true | |
| 212 | + }, | |
| 213 | + "outputs": [ | |
| 214 | + { | |
| 215 | + "data": { | |
| 216 | + "text/plain": [ | |
| 217 | + "[1, 2, [3, 4]]" | |
| 218 | + ] | |
| 219 | + }, | |
| 220 | + "execution_count": 44, | |
| 221 | + "metadata": {}, | |
| 222 | + "output_type": "execute_result" | |
| 223 | + } | |
| 224 | + ], | |
| 225 | + "source": [ | |
| 226 | + "d[0:3]" | |
| 227 | + ] | |
| 228 | + }, | |
| 229 | + { | |
| 230 | + "cell_type": "code", | |
| 231 | + "execution_count": 46, | |
| 232 | + "id": "313e2152", | |
| 233 | + "metadata": {}, | |
| 234 | + "outputs": [ | |
| 235 | + { | |
| 236 | + "data": { | |
| 237 | + "text/plain": [ | |
| 238 | + "[1, 2, 3, 'Life', ' is', 'too', 'short']" | |
| 239 | + ] | |
| 240 | + }, | |
| 241 | + "execution_count": 46, | |
| 242 | + "metadata": {}, | |
| 243 | + "output_type": "execute_result" | |
| 244 | + } | |
| 245 | + ], | |
| 246 | + "source": [ | |
| 247 | + "a+b" | |
| 248 | + ] | |
| 249 | + }, | |
| 250 | + { | |
| 251 | + "cell_type": "code", | |
| 252 | + "execution_count": 49, | |
| 253 | + "id": "9959a5e2", | |
| 254 | + "metadata": {}, | |
| 255 | + "outputs": [ | |
| 256 | + { | |
| 257 | + "data": { | |
| 258 | + "text/plain": [ | |
| 259 | + "'Life'" | |
| 260 | + ] | |
| 261 | + }, | |
| 262 | + "execution_count": 49, | |
| 263 | + "metadata": {}, | |
| 264 | + "output_type": "execute_result" | |
| 265 | + } | |
| 266 | + ], | |
| 267 | + "source": [ | |
| 268 | + "b[0]" | |
| 269 | + ] | |
| 270 | + }, | |
| 271 | + { | |
| 272 | + "cell_type": "code", | |
| 273 | + "execution_count": 53, | |
| 274 | + "id": "0ead5b30", | |
| 275 | + "metadata": {}, | |
| 276 | + "outputs": [ | |
| 277 | + { | |
| 278 | + "data": { | |
| 279 | + "text/plain": [ | |
| 280 | + "'1hi ~^^`'" | |
| 281 | + ] | |
| 282 | + }, | |
| 283 | + "execution_count": 53, | |
| 284 | + "metadata": {}, | |
| 285 | + "output_type": "execute_result" | |
| 286 | + } | |
| 287 | + ], | |
| 288 | + "source": [ | |
| 289 | + "str(a[0]) + \"hi ~^^`\"" | |
| 290 | + ] | |
| 291 | + }, | |
| 292 | + { | |
| 293 | + "cell_type": "code", | |
| 294 | + "execution_count": 54, | |
| 295 | + "id": "c574311e", | |
| 296 | + "metadata": {}, | |
| 297 | + "outputs": [ | |
| 298 | + { | |
| 299 | + "data": { | |
| 300 | + "text/plain": [ | |
| 301 | + "[1, 2, 3]" | |
| 302 | + ] | |
| 303 | + }, | |
| 304 | + "execution_count": 54, | |
| 305 | + "metadata": {}, | |
| 306 | + "output_type": "execute_result" | |
| 307 | + } | |
| 308 | + ], | |
| 309 | + "source": [ | |
| 310 | + "a" | |
| 311 | + ] | |
| 312 | + }, | |
| 313 | + { | |
| 314 | + "cell_type": "code", | |
| 315 | + "execution_count": 61, | |
| 316 | + "id": "5430555e", | |
| 317 | + "metadata": {}, | |
| 318 | + "outputs": [ | |
| 319 | + { | |
| 320 | + "data": { | |
| 321 | + "text/plain": [ | |
| 322 | + "3" | |
| 323 | + ] | |
| 324 | + }, | |
| 325 | + "execution_count": 61, | |
| 326 | + "metadata": {}, | |
| 327 | + "output_type": "execute_result" | |
| 328 | + } | |
| 329 | + ], | |
| 330 | + "source": [ | |
| 331 | + "int('1') + int('2')" | |
| 332 | + ] | |
| 333 | + }, | |
| 334 | + { | |
| 335 | + "cell_type": "code", | |
| 336 | + "execution_count": 62, | |
| 337 | + "id": "4e293d6c", | |
| 338 | + "metadata": {}, | |
| 339 | + "outputs": [ | |
| 340 | + { | |
| 341 | + "data": { | |
| 342 | + "text/plain": [ | |
| 343 | + "[1, 2, 3, 1, 2, 3, 1, 2, 3]" | |
| 344 | + ] | |
| 345 | + }, | |
| 346 | + "execution_count": 62, | |
| 347 | + "metadata": {}, | |
| 348 | + "output_type": "execute_result" | |
| 349 | + } | |
| 350 | + ], | |
| 351 | + "source": [ | |
| 352 | + "a * 3" | |
| 353 | + ] | |
| 354 | + }, | |
| 355 | + { | |
| 356 | + "cell_type": "code", | |
| 357 | + "execution_count": 63, | |
| 358 | + "id": "4a7633f8", | |
| 359 | + "metadata": {}, | |
| 360 | + "outputs": [], | |
| 361 | + "source": [ | |
| 362 | + "del a[0]" | |
| 363 | + ] | |
| 364 | + }, | |
| 365 | + { | |
| 366 | + "cell_type": "code", | |
| 367 | + "execution_count": 66, | |
| 368 | + "id": "8e38fefe", | |
| 369 | + "metadata": {}, | |
| 370 | + "outputs": [], | |
| 371 | + "source": [ | |
| 372 | + "a.insert(0, a)" | |
| 373 | + ] | |
| 374 | + }, | |
| 375 | + { | |
| 376 | + "cell_type": "code", | |
| 377 | + "execution_count": 69, | |
| 378 | + "id": "82628ba6", | |
| 379 | + "metadata": {}, | |
| 380 | + "outputs": [], | |
| 381 | + "source": [ | |
| 382 | + "del a[1]" | |
| 383 | + ] | |
| 384 | + }, | |
| 385 | + { | |
| 386 | + "cell_type": "code", | |
| 387 | + "execution_count": 70, | |
| 388 | + "id": "de133692", | |
| 389 | + "metadata": {}, | |
| 390 | + "outputs": [ | |
| 391 | + { | |
| 392 | + "data": { | |
| 393 | + "text/plain": [ | |
| 394 | + "[[...], 3]" | |
| 395 | + ] | |
| 396 | + }, | |
| 397 | + "execution_count": 70, | |
| 398 | + "metadata": {}, | |
| 399 | + "output_type": "execute_result" | |
| 400 | + } | |
| 401 | + ], | |
| 402 | + "source": [ | |
| 403 | + "a" | |
| 404 | + ] | |
| 405 | + }, | |
| 406 | + { | |
| 407 | + "cell_type": "code", | |
| 408 | + "execution_count": 72, | |
| 409 | + "id": "240e416a", | |
| 410 | + "metadata": {}, | |
| 411 | + "outputs": [ | |
| 412 | + { | |
| 413 | + "data": { | |
| 414 | + "text/plain": [ | |
| 415 | + "[]" | |
| 416 | + ] | |
| 417 | + }, | |
| 418 | + "execution_count": 72, | |
| 419 | + "metadata": {}, | |
| 420 | + "output_type": "execute_result" | |
| 421 | + } | |
| 422 | + ], | |
| 423 | + "source": [ | |
| 424 | + "del a[0]\n", | |
| 425 | + "a" | |
| 426 | + ] | |
| 427 | + }, | |
| 428 | + { | |
| 429 | + "cell_type": "code", | |
| 430 | + "execution_count": 73, | |
| 431 | + "id": "1326585c", | |
| 432 | + "metadata": {}, | |
| 433 | + "outputs": [], | |
| 434 | + "source": [ | |
| 435 | + "a = [1, 2, 3]" | |
| 436 | + ] | |
| 437 | + }, | |
| 438 | + { | |
| 439 | + "cell_type": "code", | |
| 440 | + "execution_count": 74, | |
| 441 | + "id": "0ef8d1be", | |
| 442 | + "metadata": {}, | |
| 443 | + "outputs": [ | |
| 444 | + { | |
| 445 | + "data": { | |
| 446 | + "text/plain": [ | |
| 447 | + "[1, 2, 3]" | |
| 448 | + ] | |
| 449 | + }, | |
| 450 | + "execution_count": 74, | |
| 451 | + "metadata": {}, | |
| 452 | + "output_type": "execute_result" | |
| 453 | + } | |
| 454 | + ], | |
| 455 | + "source": [ | |
| 456 | + "a" | |
| 457 | + ] | |
| 458 | + }, | |
| 459 | + { | |
| 460 | + "cell_type": "code", | |
| 461 | + "execution_count": 76, | |
| 462 | + "id": "5164f42d", | |
| 463 | + "metadata": {}, | |
| 464 | + "outputs": [ | |
| 465 | + { | |
| 466 | + "data": { | |
| 467 | + "text/plain": [ | |
| 468 | + "['a', 'b', 'c']" | |
| 469 | + ] | |
| 470 | + }, | |
| 471 | + "execution_count": 76, | |
| 472 | + "metadata": {}, | |
| 473 | + "output_type": "execute_result" | |
| 474 | + } | |
| 475 | + ], | |
| 476 | + "source": [ | |
| 477 | + "aa = ['a', 'b', 'c']\n", | |
| 478 | + "aa" | |
| 479 | + ] | |
| 480 | + }, | |
| 481 | + { | |
| 482 | + "cell_type": "code", | |
| 483 | + "execution_count": 79, | |
| 484 | + "id": "e2e38fff", | |
| 485 | + "metadata": {}, | |
| 486 | + "outputs": [ | |
| 487 | + { | |
| 488 | + "data": { | |
| 489 | + "text/plain": [ | |
| 490 | + "['a', 'b', 'd']" | |
| 491 | + ] | |
| 492 | + }, | |
| 493 | + "execution_count": 79, | |
| 494 | + "metadata": {}, | |
| 495 | + "output_type": "execute_result" | |
| 496 | + } | |
| 497 | + ], | |
| 498 | + "source": [ | |
| 499 | + "aa[2] = 'd'\n", | |
| 500 | + "aa" | |
| 501 | + ] | |
| 502 | + }, | |
| 503 | + { | |
| 504 | + "cell_type": "code", | |
| 505 | + "execution_count": 84, | |
| 506 | + "id": "314b0a27", | |
| 507 | + "metadata": {}, | |
| 508 | + "outputs": [ | |
| 509 | + { | |
| 510 | + "data": { | |
| 511 | + "text/plain": [ | |
| 512 | + "['a', ['x', 'y', 'z'], 'd']" | |
| 513 | + ] | |
| 514 | + }, | |
| 515 | + "execution_count": 84, | |
| 516 | + "metadata": {}, | |
| 517 | + "output_type": "execute_result" | |
| 518 | + } | |
| 519 | + ], | |
| 520 | + "source": [ | |
| 521 | + "aa[1] = ['x', 'y', 'z']\n", | |
| 522 | + "aa" | |
| 523 | + ] | |
| 524 | + }, | |
| 525 | + { | |
| 526 | + "cell_type": "code", | |
| 527 | + "execution_count": 86, | |
| 528 | + "id": "0037cf3e", | |
| 529 | + "metadata": {}, | |
| 530 | + "outputs": [ | |
| 531 | + { | |
| 532 | + "data": { | |
| 533 | + "text/plain": [ | |
| 534 | + "[1, 2, 99]" | |
| 535 | + ] | |
| 536 | + }, | |
| 537 | + "execution_count": 86, | |
| 538 | + "metadata": {}, | |
| 539 | + "output_type": "execute_result" | |
| 540 | + } | |
| 541 | + ], | |
| 542 | + "source": [ | |
| 543 | + "a[-1] = 99\n", | |
| 544 | + "a" | |
| 545 | + ] | |
| 546 | + }, | |
| 547 | + { | |
| 548 | + "cell_type": "code", | |
| 549 | + "execution_count": 87, | |
| 550 | + "id": "d64845b1", | |
| 551 | + "metadata": {}, | |
| 552 | + "outputs": [], | |
| 553 | + "source": [ | |
| 554 | + "a[1:2] = ['a', 'b', 'c']" | |
| 555 | + ] | |
| 556 | + }, | |
| 557 | + { | |
| 558 | + "cell_type": "code", | |
| 559 | + "execution_count": 88, | |
| 560 | + "id": "1aae50c5", | |
| 561 | + "metadata": {}, | |
| 562 | + "outputs": [ | |
| 563 | + { | |
| 564 | + "data": { | |
| 565 | + "text/plain": [ | |
| 566 | + "[1, 'a', 'b', 'c', 99]" | |
| 567 | + ] | |
| 568 | + }, | |
| 569 | + "execution_count": 88, | |
| 570 | + "metadata": {}, | |
| 571 | + "output_type": "execute_result" | |
| 572 | + } | |
| 573 | + ], | |
| 574 | + "source": [ | |
| 575 | + "a" | |
| 576 | + ] | |
| 577 | + }, | |
| 578 | + { | |
| 579 | + "cell_type": "code", | |
| 580 | + "execution_count": 89, | |
| 581 | + "id": "e23db83f", | |
| 582 | + "metadata": {}, | |
| 583 | + "outputs": [ | |
| 584 | + { | |
| 585 | + "data": { | |
| 586 | + "text/plain": [ | |
| 587 | + "[1, 'a', 'b', 'c', ['d', 'e', 'f']]" | |
| 588 | + ] | |
| 589 | + }, | |
| 590 | + "execution_count": 89, | |
| 591 | + "metadata": {}, | |
| 592 | + "output_type": "execute_result" | |
| 593 | + } | |
| 594 | + ], | |
| 595 | + "source": [ | |
| 596 | + "a[-1] = ['d', 'e', 'f']\n", | |
| 597 | + "a" | |
| 598 | + ] | |
| 599 | + }, | |
| 600 | + { | |
| 601 | + "cell_type": "code", | |
| 602 | + "execution_count": 90, | |
| 603 | + "id": "5d5242e4", | |
| 604 | + "metadata": {}, | |
| 605 | + "outputs": [ | |
| 606 | + { | |
| 607 | + "data": { | |
| 608 | + "text/plain": [ | |
| 609 | + "[1, 'a', 'b', 'c']" | |
| 610 | + ] | |
| 611 | + }, | |
| 612 | + "execution_count": 90, | |
| 613 | + "metadata": {}, | |
| 614 | + "output_type": "execute_result" | |
| 615 | + } | |
| 616 | + ], | |
| 617 | + "source": [ | |
| 618 | + "del a[-1]\n", | |
| 619 | + "a" | |
| 620 | + ] | |
| 621 | + }, | |
| 622 | + { | |
| 623 | + "cell_type": "code", | |
| 624 | + "execution_count": 91, | |
| 625 | + "id": "5bac08af", | |
| 626 | + "metadata": {}, | |
| 627 | + "outputs": [ | |
| 628 | + { | |
| 629 | + "data": { | |
| 630 | + "text/plain": [ | |
| 631 | + "[1, 'a', 'b', 'c', 5]" | |
| 632 | + ] | |
| 633 | + }, | |
| 634 | + "execution_count": 91, | |
| 635 | + "metadata": {}, | |
| 636 | + "output_type": "execute_result" | |
| 637 | + } | |
| 638 | + ], | |
| 639 | + "source": [ | |
| 640 | + "a.append(5)\n", | |
| 641 | + "a" | |
| 642 | + ] | |
| 643 | + }, | |
| 644 | + { | |
| 645 | + "cell_type": "code", | |
| 646 | + "execution_count": 95, | |
| 647 | + "id": "168ece29", | |
| 648 | + "metadata": { | |
| 649 | + "scrolled": true | |
| 650 | + }, | |
| 651 | + "outputs": [ | |
| 652 | + { | |
| 653 | + "data": { | |
| 654 | + "text/plain": [ | |
| 655 | + "['__add__',\n", | |
| 656 | + " '__class__',\n", | |
| 657 | + " '__class_getitem__',\n", | |
| 658 | + " '__contains__',\n", | |
| 659 | + " '__delattr__',\n", | |
| 660 | + " '__delitem__',\n", | |
| 661 | + " '__dir__',\n", | |
| 662 | + " '__doc__',\n", | |
| 663 | + " '__eq__',\n", | |
| 664 | + " '__format__',\n", | |
| 665 | + " '__ge__',\n", | |
| 666 | + " '__getattribute__',\n", | |
| 667 | + " '__getitem__',\n", | |
| 668 | + " '__gt__',\n", | |
| 669 | + " '__hash__',\n", | |
| 670 | + " '__iadd__',\n", | |
| 671 | + " '__imul__',\n", | |
| 672 | + " '__init__',\n", | |
| 673 | + " '__init_subclass__',\n", | |
| 674 | + " '__iter__',\n", | |
| 675 | + " '__le__',\n", | |
| 676 | + " '__len__',\n", | |
| 677 | + " '__lt__',\n", | |
| 678 | + " '__mul__',\n", | |
| 679 | + " '__ne__',\n", | |
| 680 | + " '__new__',\n", | |
| 681 | + " '__reduce__',\n", | |
| 682 | + " '__reduce_ex__',\n", | |
| 683 | + " '__repr__',\n", | |
| 684 | + " '__reversed__',\n", | |
| 685 | + " '__rmul__',\n", | |
| 686 | + " '__setattr__',\n", | |
| 687 | + " '__setitem__',\n", | |
| 688 | + " '__sizeof__',\n", | |
| 689 | + " '__str__',\n", | |
| 690 | + " '__subclasshook__',\n", | |
| 691 | + " 'append',\n", | |
| 692 | + " 'clear',\n", | |
| 693 | + " 'copy',\n", | |
| 694 | + " 'count',\n", | |
| 695 | + " 'extend',\n", | |
| 696 | + " 'index',\n", | |
| 697 | + " 'insert',\n", | |
| 698 | + " 'pop',\n", | |
| 699 | + " 'remove',\n", | |
| 700 | + " 'reverse',\n", | |
| 701 | + " 'sort']" | |
| 702 | + ] | |
| 703 | + }, | |
| 704 | + "execution_count": 95, | |
| 705 | + "metadata": {}, | |
| 706 | + "output_type": "execute_result" | |
| 707 | + } | |
| 708 | + ], | |
| 709 | + "source": [ | |
| 710 | + "dir(a)" | |
| 711 | + ] | |
| 712 | + }, | |
| 713 | + { | |
| 714 | + "cell_type": "code", | |
| 715 | + "execution_count": 101, | |
| 716 | + "id": "0a2db3b0", | |
| 717 | + "metadata": {}, | |
| 718 | + "outputs": [], | |
| 719 | + "source": [ | |
| 720 | + "a= [65, 65, 99, 8, 1, 32]\n", | |
| 721 | + "a.sort()" | |
| 722 | + ] | |
| 723 | + }, | |
| 724 | + { | |
| 725 | + "cell_type": "code", | |
| 726 | + "execution_count": 102, | |
| 727 | + "id": "38aa5194", | |
| 728 | + "metadata": {}, | |
| 729 | + "outputs": [ | |
| 730 | + { | |
| 731 | + "data": { | |
| 732 | + "text/plain": [ | |
| 733 | + "[1, 8, 32, 65, 65, 99]" | |
| 734 | + ] | |
| 735 | + }, | |
| 736 | + "execution_count": 102, | |
| 737 | + "metadata": {}, | |
| 738 | + "output_type": "execute_result" | |
| 739 | + } | |
| 740 | + ], | |
| 741 | + "source": [ | |
| 742 | + "a" | |
| 743 | + ] | |
| 744 | + }, | |
| 745 | + { | |
| 746 | + "cell_type": "code", | |
| 747 | + "execution_count": 103, | |
| 748 | + "id": "4aaafa7f", | |
| 749 | + "metadata": {}, | |
| 750 | + "outputs": [], | |
| 751 | + "source": [ | |
| 752 | + "a.reverse()" | |
| 753 | + ] | |
| 754 | + }, | |
| 755 | + { | |
| 756 | + "cell_type": "code", | |
| 757 | + "execution_count": 104, | |
| 758 | + "id": "265f3fd5", | |
| 759 | + "metadata": {}, | |
| 760 | + "outputs": [ | |
| 761 | + { | |
| 762 | + "data": { | |
| 763 | + "text/plain": [ | |
| 764 | + "[99, 65, 65, 32, 8, 1]" | |
| 765 | + ] | |
| 766 | + }, | |
| 767 | + "execution_count": 104, | |
| 768 | + "metadata": {}, | |
| 769 | + "output_type": "execute_result" | |
| 770 | + } | |
| 771 | + ], | |
| 772 | + "source": [ | |
| 773 | + "a" | |
| 774 | + ] | |
| 775 | + }, | |
| 776 | + { | |
| 777 | + "cell_type": "code", | |
| 778 | + "execution_count": 107, | |
| 779 | + "id": "157dd4a1", | |
| 780 | + "metadata": {}, | |
| 781 | + "outputs": [ | |
| 782 | + { | |
| 783 | + "data": { | |
| 784 | + "text/plain": [ | |
| 785 | + "5" | |
| 786 | + ] | |
| 787 | + }, | |
| 788 | + "execution_count": 107, | |
| 789 | + "metadata": {}, | |
| 790 | + "output_type": "execute_result" | |
| 791 | + } | |
| 792 | + ], | |
| 793 | + "source": [ | |
| 794 | + "a.index(1)" | |
| 795 | + ] | |
| 796 | + }, | |
| 797 | + { | |
| 798 | + "cell_type": "code", | |
| 799 | + "execution_count": 108, | |
| 800 | + "id": "82bcebf2", | |
| 801 | + "metadata": {}, | |
| 802 | + "outputs": [ | |
| 803 | + { | |
| 804 | + "data": { | |
| 805 | + "text/plain": [ | |
| 806 | + "[99, 65, 65, 32, 8, 1]" | |
| 807 | + ] | |
| 808 | + }, | |
| 809 | + "execution_count": 108, | |
| 810 | + "metadata": {}, | |
| 811 | + "output_type": "execute_result" | |
| 812 | + } | |
| 813 | + ], | |
| 814 | + "source": [ | |
| 815 | + "a" | |
| 816 | + ] | |
| 817 | + }, | |
| 818 | + { | |
| 819 | + "cell_type": "code", | |
| 820 | + "execution_count": 109, | |
| 821 | + "id": "0e9118f6", | |
| 822 | + "metadata": {}, | |
| 823 | + "outputs": [ | |
| 824 | + { | |
| 825 | + "data": { | |
| 826 | + "text/plain": [ | |
| 827 | + "[5, 'c', 'b', 'a', 1, 55]" | |
| 828 | + ] | |
| 829 | + }, | |
| 830 | + "execution_count": 109, | |
| 831 | + "metadata": {}, | |
| 832 | + "output_type": "execute_result" | |
| 833 | + } | |
| 834 | + ], | |
| 835 | + "source": [ | |
| 836 | + "a = [5, 'c', 'b', 'a', 1, 55]\n", | |
| 837 | + "a" | |
| 838 | + ] | |
| 839 | + }, | |
| 840 | + { | |
| 841 | + "cell_type": "code", | |
| 842 | + "execution_count": 110, | |
| 843 | + "id": "8d08f643", | |
| 844 | + "metadata": {}, | |
| 845 | + "outputs": [ | |
| 846 | + { | |
| 847 | + "data": { | |
| 848 | + "text/plain": [ | |
| 849 | + "[5, 88, 'c', 'b', 'a', 1, 55]" | |
| 850 | + ] | |
| 851 | + }, | |
| 852 | + "execution_count": 110, | |
| 853 | + "metadata": {}, | |
| 854 | + "output_type": "execute_result" | |
| 855 | + } | |
| 856 | + ], | |
| 857 | + "source": [ | |
| 858 | + "a.insert(1, 88)\n", | |
| 859 | + "a" | |
| 860 | + ] | |
| 861 | + }, | |
| 862 | + { | |
| 863 | + "cell_type": "code", | |
| 864 | + "execution_count": 111, | |
| 865 | + "id": "b717dcac", | |
| 866 | + "metadata": {}, | |
| 867 | + "outputs": [ | |
| 868 | + { | |
| 869 | + "data": { | |
| 870 | + "text/plain": [ | |
| 871 | + "[5, 88, 'c', 'b', 'Hello', 'a', 1, 55]" | |
| 872 | + ] | |
| 873 | + }, | |
| 874 | + "execution_count": 111, | |
| 875 | + "metadata": {}, | |
| 876 | + "output_type": "execute_result" | |
| 877 | + } | |
| 878 | + ], | |
| 879 | + "source": [ | |
| 880 | + "a.insert(4, \"Hello\")\n", | |
| 881 | + "a" | |
| 882 | + ] | |
| 883 | + }, | |
| 884 | + { | |
| 885 | + "cell_type": "code", | |
| 886 | + "execution_count": 112, | |
| 887 | + "id": "604d77dd", | |
| 888 | + "metadata": {}, | |
| 889 | + "outputs": [ | |
| 890 | + { | |
| 891 | + "data": { | |
| 892 | + "text/plain": [ | |
| 893 | + "[5, 'c', 'b', 'Hello', 'a', 1, 55]" | |
| 894 | + ] | |
| 895 | + }, | |
| 896 | + "execution_count": 112, | |
| 897 | + "metadata": {}, | |
| 898 | + "output_type": "execute_result" | |
| 899 | + } | |
| 900 | + ], | |
| 901 | + "source": [ | |
| 902 | + "del a[1]\n", | |
| 903 | + "a" | |
| 904 | + ] | |
| 905 | + }, | |
| 906 | + { | |
| 907 | + "cell_type": "code", | |
| 908 | + "execution_count": 113, | |
| 909 | + "id": "de2baeaf", | |
| 910 | + "metadata": {}, | |
| 911 | + "outputs": [], | |
| 912 | + "source": [ | |
| 913 | + "a.remove('Hello')" | |
| 914 | + ] | |
| 915 | + }, | |
| 916 | + { | |
| 917 | + "cell_type": "code", | |
| 918 | + "execution_count": 114, | |
| 919 | + "id": "b1679dcf", | |
| 920 | + "metadata": {}, | |
| 921 | + "outputs": [ | |
| 922 | + { | |
| 923 | + "data": { | |
| 924 | + "text/plain": [ | |
| 925 | + "[5, 'c', 'b', 'a', 1, 55]" | |
| 926 | + ] | |
| 927 | + }, | |
| 928 | + "execution_count": 114, | |
| 929 | + "metadata": {}, | |
| 930 | + "output_type": "execute_result" | |
| 931 | + } | |
| 932 | + ], | |
| 933 | + "source": [ | |
| 934 | + "a" | |
| 935 | + ] | |
| 936 | + }, | |
| 937 | + { | |
| 938 | + "cell_type": "code", | |
| 939 | + "execution_count": null, | |
| 940 | + "id": "69927842", | |
| 941 | + "metadata": {}, | |
| 942 | + "outputs": [], | |
| 943 | + "source": [] | |
| 944 | + }, | |
| 945 | + { | |
| 946 | + "cell_type": "code", | |
| 947 | + "execution_count": null, | |
| 948 | + "id": "702e5b62", | |
| 949 | + "metadata": {}, | |
| 950 | + "outputs": [], | |
| 951 | + "source": [] | |
| 952 | + }, | |
| 953 | + { | |
| 954 | + "cell_type": "code", | |
| 955 | + "execution_count": null, | |
| 956 | + "id": "7c304140", | |
| 957 | + "metadata": {}, | |
| 958 | + "outputs": [], | |
| 959 | + "source": [] | |
| 960 | + }, | |
| 961 | + { | |
| 962 | + "cell_type": "code", | |
| 963 | + "execution_count": null, | |
| 964 | + "id": "3d5e038d", | |
| 965 | + "metadata": {}, | |
| 966 | + "outputs": [], | |
| 967 | + "source": [] | |
| 968 | + }, | |
| 969 | + { | |
| 970 | + "cell_type": "code", | |
| 971 | + "execution_count": null, | |
| 972 | + "id": "b82f2523", | |
| 973 | + "metadata": {}, | |
| 974 | + "outputs": [], | |
| 975 | + "source": [] | |
| 976 | + }, | |
| 977 | + { | |
| 978 | + "cell_type": "code", | |
| 979 | + "execution_count": null, | |
| 980 | + "id": "a04aa98c", | |
| 981 | + "metadata": {}, | |
| 982 | + "outputs": [], | |
| 983 | + "source": [] | |
| 984 | + }, | |
| 985 | + { | |
| 986 | + "cell_type": "code", | |
| 987 | + "execution_count": null, | |
| 988 | + "id": "2c00c223", | |
| 989 | + "metadata": {}, | |
| 990 | + "outputs": [], | |
| 991 | + "source": [] | |
| 992 | + }, | |
| 993 | + { | |
| 994 | + "cell_type": "code", | |
| 995 | + "execution_count": null, | |
| 996 | + "id": "e4f1ff19", | |
| 997 | + "metadata": {}, | |
| 998 | + "outputs": [], | |
| 999 | + "source": [] | |
| 1000 | + }, | |
| 1001 | + { | |
| 1002 | + "cell_type": "code", | |
| 1003 | + "execution_count": null, | |
| 1004 | + "id": "5195397a", | |
| 1005 | + "metadata": {}, | |
| 1006 | + "outputs": [], | |
| 1007 | + "source": [] | |
| 1008 | + }, | |
| 1009 | + { | |
| 1010 | + "cell_type": "code", | |
| 1011 | + "execution_count": null, | |
| 1012 | + "id": "62f42eb5", | |
| 1013 | + "metadata": {}, | |
| 1014 | + "outputs": [], | |
| 1015 | + "source": [] | |
| 1016 | + }, | |
| 1017 | + { | |
| 1018 | + "cell_type": "code", | |
| 1019 | + "execution_count": null, | |
| 1020 | + "id": "44eaef61", | |
| 1021 | + "metadata": {}, | |
| 1022 | + "outputs": [], | |
| 1023 | + "source": [] | |
| 1024 | + }, | |
| 1025 | + { | |
| 1026 | + "cell_type": "code", | |
| 1027 | + "execution_count": null, | |
| 1028 | + "id": "a75af6bc", | |
| 1029 | + "metadata": {}, | |
| 1030 | + "outputs": [], | |
| 1031 | + "source": [] | |
| 1032 | + }, | |
| 1033 | + { | |
| 1034 | + "cell_type": "code", | |
| 1035 | + "execution_count": null, | |
| 1036 | + "id": "f75e538b", | |
| 1037 | + "metadata": {}, | |
| 1038 | + "outputs": [], | |
| 1039 | + "source": [] | |
| 1040 | + }, | |
| 1041 | + { | |
| 1042 | + "cell_type": "code", | |
| 1043 | + "execution_count": null, | |
| 1044 | + "id": "0a7b9318", | |
| 1045 | + "metadata": {}, | |
| 1046 | + "outputs": [], | |
| 1047 | + "source": [] | |
| 1048 | + } | |
| 1049 | + ], | |
| 1050 | + "metadata": { | |
| 1051 | + "kernelspec": { | |
| 1052 | + "display_name": "Python 3 (ipykernel)", | |
| 1053 | + "language": "python", | |
| 1054 | + "name": "python3" | |
| 1055 | + }, | |
| 1056 | + "language_info": { | |
| 1057 | + "codemirror_mode": { | |
| 1058 | + "name": "ipython", | |
| 1059 | + "version": 3 | |
| 1060 | + }, | |
| 1061 | + "file_extension": ".py", | |
| 1062 | + "mimetype": "text/x-python", | |
| 1063 | + "name": "python", | |
| 1064 | + "nbconvert_exporter": "python", | |
| 1065 | + "pygments_lexer": "ipython3", | |
| 1066 | + "version": "3.9.7" | |
| 1067 | + } | |
| 1068 | + }, | |
| 1069 | + "nbformat": 4, | |
| 1070 | + "nbformat_minor": 5 | |
| 1071 | +} |
+++ 20220404/tuple.ipynb
... | ... | @@ -0,0 +1,625 @@ |
| 1 | +{ | |
| 2 | + "cells": [ | |
| 3 | + { | |
| 4 | + "cell_type": "code", | |
| 5 | + "execution_count": 33, | |
| 6 | + "id": "72425bc5", | |
| 7 | + "metadata": {}, | |
| 8 | + "outputs": [ | |
| 9 | + { | |
| 10 | + "data": { | |
| 11 | + "text/plain": [ | |
| 12 | + "(1,)" | |
| 13 | + ] | |
| 14 | + }, | |
| 15 | + "execution_count": 33, | |
| 16 | + "metadata": {}, | |
| 17 | + "output_type": "execute_result" | |
| 18 | + } | |
| 19 | + ], | |
| 20 | + "source": [ | |
| 21 | + "t1 = (1, )\n", | |
| 22 | + "t1" | |
| 23 | + ] | |
| 24 | + }, | |
| 25 | + { | |
| 26 | + "cell_type": "code", | |
| 27 | + "execution_count": 34, | |
| 28 | + "id": "1b714f42", | |
| 29 | + "metadata": {}, | |
| 30 | + "outputs": [ | |
| 31 | + { | |
| 32 | + "data": { | |
| 33 | + "text/plain": [ | |
| 34 | + "(1, 2, 3)" | |
| 35 | + ] | |
| 36 | + }, | |
| 37 | + "execution_count": 34, | |
| 38 | + "metadata": {}, | |
| 39 | + "output_type": "execute_result" | |
| 40 | + } | |
| 41 | + ], | |
| 42 | + "source": [ | |
| 43 | + "# Tuple Must in '()'\n", | |
| 44 | + "t2 = (1, 2, 3)\n", | |
| 45 | + "t3 = 1, 2, 3\n", | |
| 46 | + "t2\n", | |
| 47 | + "t3" | |
| 48 | + ] | |
| 49 | + }, | |
| 50 | + { | |
| 51 | + "cell_type": "code", | |
| 52 | + "execution_count": 35, | |
| 53 | + "id": "7102fafb", | |
| 54 | + "metadata": {}, | |
| 55 | + "outputs": [ | |
| 56 | + { | |
| 57 | + "data": { | |
| 58 | + "text/plain": [ | |
| 59 | + "(1, 2, (3, 4), ('Life', 'is'))" | |
| 60 | + ] | |
| 61 | + }, | |
| 62 | + "execution_count": 35, | |
| 63 | + "metadata": {}, | |
| 64 | + "output_type": "execute_result" | |
| 65 | + } | |
| 66 | + ], | |
| 67 | + "source": [ | |
| 68 | + "t4 = (1, 2, (3, 4), ('Life', 'is'))\n", | |
| 69 | + "t4" | |
| 70 | + ] | |
| 71 | + }, | |
| 72 | + { | |
| 73 | + "cell_type": "code", | |
| 74 | + "execution_count": 36, | |
| 75 | + "id": "7ef38820", | |
| 76 | + "metadata": {}, | |
| 77 | + "outputs": [ | |
| 78 | + { | |
| 79 | + "data": { | |
| 80 | + "text/plain": [ | |
| 81 | + "4" | |
| 82 | + ] | |
| 83 | + }, | |
| 84 | + "execution_count": 36, | |
| 85 | + "metadata": {}, | |
| 86 | + "output_type": "execute_result" | |
| 87 | + } | |
| 88 | + ], | |
| 89 | + "source": [ | |
| 90 | + "t4[2][-1]" | |
| 91 | + ] | |
| 92 | + }, | |
| 93 | + { | |
| 94 | + "cell_type": "code", | |
| 95 | + "execution_count": 37, | |
| 96 | + "id": "13b2d9c0", | |
| 97 | + "metadata": {}, | |
| 98 | + "outputs": [ | |
| 99 | + { | |
| 100 | + "data": { | |
| 101 | + "text/plain": [ | |
| 102 | + "(1, 1, 2, 3)" | |
| 103 | + ] | |
| 104 | + }, | |
| 105 | + "execution_count": 37, | |
| 106 | + "metadata": {}, | |
| 107 | + "output_type": "execute_result" | |
| 108 | + } | |
| 109 | + ], | |
| 110 | + "source": [ | |
| 111 | + "t1 + t2" | |
| 112 | + ] | |
| 113 | + }, | |
| 114 | + { | |
| 115 | + "cell_type": "code", | |
| 116 | + "execution_count": 38, | |
| 117 | + "id": "48625967", | |
| 118 | + "metadata": {}, | |
| 119 | + "outputs": [ | |
| 120 | + { | |
| 121 | + "data": { | |
| 122 | + "text/plain": [ | |
| 123 | + "(1, 2, 3, 1, 2, 3, 1, 2, 3)" | |
| 124 | + ] | |
| 125 | + }, | |
| 126 | + "execution_count": 38, | |
| 127 | + "metadata": {}, | |
| 128 | + "output_type": "execute_result" | |
| 129 | + } | |
| 130 | + ], | |
| 131 | + "source": [ | |
| 132 | + "t2 * 3" | |
| 133 | + ] | |
| 134 | + }, | |
| 135 | + { | |
| 136 | + "cell_type": "code", | |
| 137 | + "execution_count": 39, | |
| 138 | + "id": "c948876e", | |
| 139 | + "metadata": {}, | |
| 140 | + "outputs": [ | |
| 141 | + { | |
| 142 | + "data": { | |
| 143 | + "text/plain": [ | |
| 144 | + "{'name': 'Hong', 'phone': '01012345678', 'birth': '0814'}" | |
| 145 | + ] | |
| 146 | + }, | |
| 147 | + "execution_count": 39, | |
| 148 | + "metadata": {}, | |
| 149 | + "output_type": "execute_result" | |
| 150 | + } | |
| 151 | + ], | |
| 152 | + "source": [ | |
| 153 | + "dic = {'name':'Hong', 'phone':'01012345678', 'birth':'0814'}\n", | |
| 154 | + "dic" | |
| 155 | + ] | |
| 156 | + }, | |
| 157 | + { | |
| 158 | + "cell_type": "code", | |
| 159 | + "execution_count": 40, | |
| 160 | + "id": "24a5d503", | |
| 161 | + "metadata": {}, | |
| 162 | + "outputs": [ | |
| 163 | + { | |
| 164 | + "data": { | |
| 165 | + "text/plain": [ | |
| 166 | + "'Hong'" | |
| 167 | + ] | |
| 168 | + }, | |
| 169 | + "execution_count": 40, | |
| 170 | + "metadata": {}, | |
| 171 | + "output_type": "execute_result" | |
| 172 | + } | |
| 173 | + ], | |
| 174 | + "source": [ | |
| 175 | + "dic['name']" | |
| 176 | + ] | |
| 177 | + }, | |
| 178 | + { | |
| 179 | + "cell_type": "code", | |
| 180 | + "execution_count": 41, | |
| 181 | + "id": "5209ec19", | |
| 182 | + "metadata": {}, | |
| 183 | + "outputs": [ | |
| 184 | + { | |
| 185 | + "data": { | |
| 186 | + "text/plain": [ | |
| 187 | + "'01012345678'" | |
| 188 | + ] | |
| 189 | + }, | |
| 190 | + "execution_count": 41, | |
| 191 | + "metadata": {}, | |
| 192 | + "output_type": "execute_result" | |
| 193 | + } | |
| 194 | + ], | |
| 195 | + "source": [ | |
| 196 | + "dic['phone']" | |
| 197 | + ] | |
| 198 | + }, | |
| 199 | + { | |
| 200 | + "cell_type": "code", | |
| 201 | + "execution_count": 42, | |
| 202 | + "id": "8c66ad44", | |
| 203 | + "metadata": {}, | |
| 204 | + "outputs": [ | |
| 205 | + { | |
| 206 | + "data": { | |
| 207 | + "text/plain": [ | |
| 208 | + "'0814'" | |
| 209 | + ] | |
| 210 | + }, | |
| 211 | + "execution_count": 42, | |
| 212 | + "metadata": {}, | |
| 213 | + "output_type": "execute_result" | |
| 214 | + } | |
| 215 | + ], | |
| 216 | + "source": [ | |
| 217 | + "dic['birth']" | |
| 218 | + ] | |
| 219 | + }, | |
| 220 | + { | |
| 221 | + "cell_type": "code", | |
| 222 | + "execution_count": 43, | |
| 223 | + "id": "d75ac067", | |
| 224 | + "metadata": {}, | |
| 225 | + "outputs": [ | |
| 226 | + { | |
| 227 | + "data": { | |
| 228 | + "text/plain": [ | |
| 229 | + "{'name': 'Hong', 'phone': '01012345678', 'birth': '0814', 1: 'a'}" | |
| 230 | + ] | |
| 231 | + }, | |
| 232 | + "execution_count": 43, | |
| 233 | + "metadata": {}, | |
| 234 | + "output_type": "execute_result" | |
| 235 | + } | |
| 236 | + ], | |
| 237 | + "source": [ | |
| 238 | + "dic[1] = 'a'\n", | |
| 239 | + "dic" | |
| 240 | + ] | |
| 241 | + }, | |
| 242 | + { | |
| 243 | + "cell_type": "code", | |
| 244 | + "execution_count": 44, | |
| 245 | + "id": "1c9a62b8", | |
| 246 | + "metadata": {}, | |
| 247 | + "outputs": [], | |
| 248 | + "source": [ | |
| 249 | + "dic['pet'] = 'dog'" | |
| 250 | + ] | |
| 251 | + }, | |
| 252 | + { | |
| 253 | + "cell_type": "code", | |
| 254 | + "execution_count": 45, | |
| 255 | + "id": "28e960d9", | |
| 256 | + "metadata": {}, | |
| 257 | + "outputs": [ | |
| 258 | + { | |
| 259 | + "data": { | |
| 260 | + "text/plain": [ | |
| 261 | + "{'name': 'Hong', 'phone': '01012345678', 'birth': '0814', 1: 'a', 'pet': 'dog'}" | |
| 262 | + ] | |
| 263 | + }, | |
| 264 | + "execution_count": 45, | |
| 265 | + "metadata": {}, | |
| 266 | + "output_type": "execute_result" | |
| 267 | + } | |
| 268 | + ], | |
| 269 | + "source": [ | |
| 270 | + "dic" | |
| 271 | + ] | |
| 272 | + }, | |
| 273 | + { | |
| 274 | + "cell_type": "code", | |
| 275 | + "execution_count": 46, | |
| 276 | + "id": "94836ccf", | |
| 277 | + "metadata": {}, | |
| 278 | + "outputs": [ | |
| 279 | + { | |
| 280 | + "data": { | |
| 281 | + "text/plain": [ | |
| 282 | + "{'name': 'Hong', 'phone': '01012345678', 'birth': '0814', 'pet': 'dog'}" | |
| 283 | + ] | |
| 284 | + }, | |
| 285 | + "execution_count": 46, | |
| 286 | + "metadata": {}, | |
| 287 | + "output_type": "execute_result" | |
| 288 | + } | |
| 289 | + ], | |
| 290 | + "source": [ | |
| 291 | + "del dic[1]\n", | |
| 292 | + "dic" | |
| 293 | + ] | |
| 294 | + }, | |
| 295 | + { | |
| 296 | + "cell_type": "code", | |
| 297 | + "execution_count": 47, | |
| 298 | + "id": "9d650023", | |
| 299 | + "metadata": {}, | |
| 300 | + "outputs": [ | |
| 301 | + { | |
| 302 | + "data": { | |
| 303 | + "text/plain": [ | |
| 304 | + "dict_keys(['name', 'phone', 'birth', 'pet'])" | |
| 305 | + ] | |
| 306 | + }, | |
| 307 | + "execution_count": 47, | |
| 308 | + "metadata": {}, | |
| 309 | + "output_type": "execute_result" | |
| 310 | + } | |
| 311 | + ], | |
| 312 | + "source": [ | |
| 313 | + "dic.keys()" | |
| 314 | + ] | |
| 315 | + }, | |
| 316 | + { | |
| 317 | + "cell_type": "code", | |
| 318 | + "execution_count": 48, | |
| 319 | + "id": "979161a7", | |
| 320 | + "metadata": {}, | |
| 321 | + "outputs": [ | |
| 322 | + { | |
| 323 | + "data": { | |
| 324 | + "text/plain": [ | |
| 325 | + "['name', 'phone', 'birth', 'pet']" | |
| 326 | + ] | |
| 327 | + }, | |
| 328 | + "execution_count": 48, | |
| 329 | + "metadata": {}, | |
| 330 | + "output_type": "execute_result" | |
| 331 | + } | |
| 332 | + ], | |
| 333 | + "source": [ | |
| 334 | + "list(dic.keys())" | |
| 335 | + ] | |
| 336 | + }, | |
| 337 | + { | |
| 338 | + "cell_type": "code", | |
| 339 | + "execution_count": 49, | |
| 340 | + "id": "ebb6e9e3", | |
| 341 | + "metadata": {}, | |
| 342 | + "outputs": [ | |
| 343 | + { | |
| 344 | + "data": { | |
| 345 | + "text/plain": [ | |
| 346 | + "dict_values(['Hong', '01012345678', '0814', 'dog'])" | |
| 347 | + ] | |
| 348 | + }, | |
| 349 | + "execution_count": 49, | |
| 350 | + "metadata": {}, | |
| 351 | + "output_type": "execute_result" | |
| 352 | + } | |
| 353 | + ], | |
| 354 | + "source": [ | |
| 355 | + "dic.values()" | |
| 356 | + ] | |
| 357 | + }, | |
| 358 | + { | |
| 359 | + "cell_type": "code", | |
| 360 | + "execution_count": 50, | |
| 361 | + "id": "d0d7892b", | |
| 362 | + "metadata": {}, | |
| 363 | + "outputs": [ | |
| 364 | + { | |
| 365 | + "data": { | |
| 366 | + "text/plain": [ | |
| 367 | + "['Hong', '01012345678', '0814', 'dog']" | |
| 368 | + ] | |
| 369 | + }, | |
| 370 | + "execution_count": 50, | |
| 371 | + "metadata": {}, | |
| 372 | + "output_type": "execute_result" | |
| 373 | + } | |
| 374 | + ], | |
| 375 | + "source": [ | |
| 376 | + "list(dic.values())" | |
| 377 | + ] | |
| 378 | + }, | |
| 379 | + { | |
| 380 | + "cell_type": "code", | |
| 381 | + "execution_count": 51, | |
| 382 | + "id": "a9001930", | |
| 383 | + "metadata": {}, | |
| 384 | + "outputs": [ | |
| 385 | + { | |
| 386 | + "data": { | |
| 387 | + "text/plain": [ | |
| 388 | + "dict_items([('name', 'Hong'), ('phone', '01012345678'), ('birth', '0814'), ('pet', 'dog')])" | |
| 389 | + ] | |
| 390 | + }, | |
| 391 | + "execution_count": 51, | |
| 392 | + "metadata": {}, | |
| 393 | + "output_type": "execute_result" | |
| 394 | + } | |
| 395 | + ], | |
| 396 | + "source": [ | |
| 397 | + "dic.items()" | |
| 398 | + ] | |
| 399 | + }, | |
| 400 | + { | |
| 401 | + "cell_type": "code", | |
| 402 | + "execution_count": 52, | |
| 403 | + "id": "4e542b31", | |
| 404 | + "metadata": {}, | |
| 405 | + "outputs": [], | |
| 406 | + "source": [ | |
| 407 | + "dic[4] = 'b'" | |
| 408 | + ] | |
| 409 | + }, | |
| 410 | + { | |
| 411 | + "cell_type": "code", | |
| 412 | + "execution_count": 53, | |
| 413 | + "id": "b5498318", | |
| 414 | + "metadata": {}, | |
| 415 | + "outputs": [ | |
| 416 | + { | |
| 417 | + "data": { | |
| 418 | + "text/plain": [ | |
| 419 | + "{'name': 'Hong', 'phone': '01012345678', 'birth': '0814', 'pet': 'dog', 4: 'b'}" | |
| 420 | + ] | |
| 421 | + }, | |
| 422 | + "execution_count": 53, | |
| 423 | + "metadata": {}, | |
| 424 | + "output_type": "execute_result" | |
| 425 | + } | |
| 426 | + ], | |
| 427 | + "source": [ | |
| 428 | + "dic" | |
| 429 | + ] | |
| 430 | + }, | |
| 431 | + { | |
| 432 | + "cell_type": "code", | |
| 433 | + "execution_count": 54, | |
| 434 | + "id": "fe6c03cf", | |
| 435 | + "metadata": {}, | |
| 436 | + "outputs": [], | |
| 437 | + "source": [ | |
| 438 | + "dic[1] = 'a'" | |
| 439 | + ] | |
| 440 | + }, | |
| 441 | + { | |
| 442 | + "cell_type": "code", | |
| 443 | + "execution_count": 55, | |
| 444 | + "id": "993e32a4", | |
| 445 | + "metadata": {}, | |
| 446 | + "outputs": [ | |
| 447 | + { | |
| 448 | + "data": { | |
| 449 | + "text/plain": [ | |
| 450 | + "{'name': 'Hong',\n", | |
| 451 | + " 'phone': '01012345678',\n", | |
| 452 | + " 'birth': '0814',\n", | |
| 453 | + " 'pet': 'dog',\n", | |
| 454 | + " 4: 'b',\n", | |
| 455 | + " 1: 'a'}" | |
| 456 | + ] | |
| 457 | + }, | |
| 458 | + "execution_count": 55, | |
| 459 | + "metadata": {}, | |
| 460 | + "output_type": "execute_result" | |
| 461 | + } | |
| 462 | + ], | |
| 463 | + "source": [ | |
| 464 | + "dic" | |
| 465 | + ] | |
| 466 | + }, | |
| 467 | + { | |
| 468 | + "cell_type": "code", | |
| 469 | + "execution_count": 56, | |
| 470 | + "id": "dd837c27", | |
| 471 | + "metadata": {}, | |
| 472 | + "outputs": [], | |
| 473 | + "source": [ | |
| 474 | + "dic['area'] = 'kr'" | |
| 475 | + ] | |
| 476 | + }, | |
| 477 | + { | |
| 478 | + "cell_type": "code", | |
| 479 | + "execution_count": 57, | |
| 480 | + "id": "ca182035", | |
| 481 | + "metadata": {}, | |
| 482 | + "outputs": [ | |
| 483 | + { | |
| 484 | + "data": { | |
| 485 | + "text/plain": [ | |
| 486 | + "{'name': 'Hong',\n", | |
| 487 | + " 'phone': '01012345678',\n", | |
| 488 | + " 'birth': '0814',\n", | |
| 489 | + " 'pet': 'dog',\n", | |
| 490 | + " 4: 'b',\n", | |
| 491 | + " 1: 'a',\n", | |
| 492 | + " 'area': 'kr'}" | |
| 493 | + ] | |
| 494 | + }, | |
| 495 | + "execution_count": 57, | |
| 496 | + "metadata": {}, | |
| 497 | + "output_type": "execute_result" | |
| 498 | + } | |
| 499 | + ], | |
| 500 | + "source": [ | |
| 501 | + "dic" | |
| 502 | + ] | |
| 503 | + }, | |
| 504 | + { | |
| 505 | + "cell_type": "code", | |
| 506 | + "execution_count": 58, | |
| 507 | + "id": "caeedcc4", | |
| 508 | + "metadata": {}, | |
| 509 | + "outputs": [], | |
| 510 | + "source": [ | |
| 511 | + "import numpy as np\n", | |
| 512 | + "import " | |
| 513 | + ] | |
| 514 | + }, | |
| 515 | + { | |
| 516 | + "cell_type": "code", | |
| 517 | + "execution_count": null, | |
| 518 | + "id": "c4a84a53", | |
| 519 | + "metadata": {}, | |
| 520 | + "outputs": [], | |
| 521 | + "source": [] | |
| 522 | + }, | |
| 523 | + { | |
| 524 | + "cell_type": "code", | |
| 525 | + "execution_count": null, | |
| 526 | + "id": "ae7cd89b", | |
| 527 | + "metadata": {}, | |
| 528 | + "outputs": [], | |
| 529 | + "source": [] | |
| 530 | + }, | |
| 531 | + { | |
| 532 | + "cell_type": "code", | |
| 533 | + "execution_count": null, | |
| 534 | + "id": "dade6dc3", | |
| 535 | + "metadata": {}, | |
| 536 | + "outputs": [], | |
| 537 | + "source": [] | |
| 538 | + }, | |
| 539 | + { | |
| 540 | + "cell_type": "code", | |
| 541 | + "execution_count": null, | |
| 542 | + "id": "bebcd6c7", | |
| 543 | + "metadata": {}, | |
| 544 | + "outputs": [], | |
| 545 | + "source": [] | |
| 546 | + }, | |
| 547 | + { | |
| 548 | + "cell_type": "code", | |
| 549 | + "execution_count": null, | |
| 550 | + "id": "d47497b4", | |
| 551 | + "metadata": {}, | |
| 552 | + "outputs": [], | |
| 553 | + "source": [] | |
| 554 | + }, | |
| 555 | + { | |
| 556 | + "cell_type": "code", | |
| 557 | + "execution_count": null, | |
| 558 | + "id": "1253420a", | |
| 559 | + "metadata": {}, | |
| 560 | + "outputs": [], | |
| 561 | + "source": [] | |
| 562 | + }, | |
| 563 | + { | |
| 564 | + "cell_type": "code", | |
| 565 | + "execution_count": null, | |
| 566 | + "id": "b2a2618f", | |
| 567 | + "metadata": {}, | |
| 568 | + "outputs": [], | |
| 569 | + "source": [] | |
| 570 | + }, | |
| 571 | + { | |
| 572 | + "cell_type": "code", | |
| 573 | + "execution_count": null, | |
| 574 | + "id": "32ba3a15", | |
| 575 | + "metadata": {}, | |
| 576 | + "outputs": [], | |
| 577 | + "source": [] | |
| 578 | + }, | |
| 579 | + { | |
| 580 | + "cell_type": "code", | |
| 581 | + "execution_count": null, | |
| 582 | + "id": "2f5a27b1", | |
| 583 | + "metadata": {}, | |
| 584 | + "outputs": [], | |
| 585 | + "source": [] | |
| 586 | + }, | |
| 587 | + { | |
| 588 | + "cell_type": "code", | |
| 589 | + "execution_count": null, | |
| 590 | + "id": "eb7fbfb7", | |
| 591 | + "metadata": {}, | |
| 592 | + "outputs": [], | |
| 593 | + "source": [] | |
| 594 | + }, | |
| 595 | + { | |
| 596 | + "cell_type": "code", | |
| 597 | + "execution_count": null, | |
| 598 | + "id": "e76d80c4", | |
| 599 | + "metadata": {}, | |
| 600 | + "outputs": [], | |
| 601 | + "source": [] | |
| 602 | + } | |
| 603 | + ], | |
| 604 | + "metadata": { | |
| 605 | + "kernelspec": { | |
| 606 | + "display_name": "Python 3 (ipykernel)", | |
| 607 | + "language": "python", | |
| 608 | + "name": "python3" | |
| 609 | + }, | |
| 610 | + "language_info": { | |
| 611 | + "codemirror_mode": { | |
| 612 | + "name": "ipython", | |
| 613 | + "version": 3 | |
| 614 | + }, | |
| 615 | + "file_extension": ".py", | |
| 616 | + "mimetype": "text/x-python", | |
| 617 | + "name": "python", | |
| 618 | + "nbconvert_exporter": "python", | |
| 619 | + "pygments_lexer": "ipython3", | |
| 620 | + "version": "3.9.7" | |
| 621 | + } | |
| 622 | + }, | |
| 623 | + "nbformat": 4, | |
| 624 | + "nbformat_minor": 5 | |
| 625 | +} |
+++ 20220411/.ipynb_checkpoints/condition-checkpoint.ipynb
... | ... | @@ -0,0 +1,251 @@ |
| 1 | +{ | |
| 2 | + "cells": [ | |
| 3 | + { | |
| 4 | + "cell_type": "code", | |
| 5 | + "execution_count": 2, | |
| 6 | + "id": "557e0b11", | |
| 7 | + "metadata": {}, | |
| 8 | + "outputs": [], | |
| 9 | + "source": [ | |
| 10 | + "x = 3\n", | |
| 11 | + "y = 2" | |
| 12 | + ] | |
| 13 | + }, | |
| 14 | + { | |
| 15 | + "cell_type": "code", | |
| 16 | + "execution_count": 3, | |
| 17 | + "id": "ca5c36a6", | |
| 18 | + "metadata": {}, | |
| 19 | + "outputs": [ | |
| 20 | + { | |
| 21 | + "data": { | |
| 22 | + "text/plain": [ | |
| 23 | + "False" | |
| 24 | + ] | |
| 25 | + }, | |
| 26 | + "execution_count": 3, | |
| 27 | + "metadata": {}, | |
| 28 | + "output_type": "execute_result" | |
| 29 | + } | |
| 30 | + ], | |
| 31 | + "source": [ | |
| 32 | + "x == y" | |
| 33 | + ] | |
| 34 | + }, | |
| 35 | + { | |
| 36 | + "cell_type": "code", | |
| 37 | + "execution_count": 4, | |
| 38 | + "id": "0d6f68ea", | |
| 39 | + "metadata": {}, | |
| 40 | + "outputs": [ | |
| 41 | + { | |
| 42 | + "data": { | |
| 43 | + "text/plain": [ | |
| 44 | + "True" | |
| 45 | + ] | |
| 46 | + }, | |
| 47 | + "execution_count": 4, | |
| 48 | + "metadata": {}, | |
| 49 | + "output_type": "execute_result" | |
| 50 | + } | |
| 51 | + ], | |
| 52 | + "source": [ | |
| 53 | + "x != y" | |
| 54 | + ] | |
| 55 | + }, | |
| 56 | + { | |
| 57 | + "cell_type": "code", | |
| 58 | + "execution_count": 5, | |
| 59 | + "id": "cd2be343", | |
| 60 | + "metadata": {}, | |
| 61 | + "outputs": [ | |
| 62 | + { | |
| 63 | + "data": { | |
| 64 | + "text/plain": [ | |
| 65 | + "True" | |
| 66 | + ] | |
| 67 | + }, | |
| 68 | + "execution_count": 5, | |
| 69 | + "metadata": {}, | |
| 70 | + "output_type": "execute_result" | |
| 71 | + } | |
| 72 | + ], | |
| 73 | + "source": [ | |
| 74 | + "x > y" | |
| 75 | + ] | |
| 76 | + }, | |
| 77 | + { | |
| 78 | + "cell_type": "code", | |
| 79 | + "execution_count": 6, | |
| 80 | + "id": "f1ff3b3d", | |
| 81 | + "metadata": {}, | |
| 82 | + "outputs": [ | |
| 83 | + { | |
| 84 | + "data": { | |
| 85 | + "text/plain": [ | |
| 86 | + "True" | |
| 87 | + ] | |
| 88 | + }, | |
| 89 | + "execution_count": 6, | |
| 90 | + "metadata": {}, | |
| 91 | + "output_type": "execute_result" | |
| 92 | + } | |
| 93 | + ], | |
| 94 | + "source": [ | |
| 95 | + "x >= y" | |
| 96 | + ] | |
| 97 | + }, | |
| 98 | + { | |
| 99 | + "cell_type": "code", | |
| 100 | + "execution_count": 12, | |
| 101 | + "id": "58f4edaf", | |
| 102 | + "metadata": { | |
| 103 | + "scrolled": true | |
| 104 | + }, | |
| 105 | + "outputs": [ | |
| 106 | + { | |
| 107 | + "name": "stdout", | |
| 108 | + "output_type": "stream", | |
| 109 | + "text": [ | |
| 110 | + "3 is bigger than 2\n" | |
| 111 | + ] | |
| 112 | + } | |
| 113 | + ], | |
| 114 | + "source": [ | |
| 115 | + "if x > y:\n", | |
| 116 | + " print(x,\"is bigger than\", y)" | |
| 117 | + ] | |
| 118 | + }, | |
| 119 | + { | |
| 120 | + "cell_type": "code", | |
| 121 | + "execution_count": 26, | |
| 122 | + "id": "e9452a71", | |
| 123 | + "metadata": {}, | |
| 124 | + "outputs": [ | |
| 125 | + { | |
| 126 | + "name": "stdout", | |
| 127 | + "output_type": "stream", | |
| 128 | + "text": [ | |
| 129 | + "3가 2보다 큽니다.\n" | |
| 130 | + ] | |
| 131 | + } | |
| 132 | + ], | |
| 133 | + "source": [ | |
| 134 | + "if x > y:\n", | |
| 135 | + " print(\"%d가 %d보다 큽니다.\" %(x, y))" | |
| 136 | + ] | |
| 137 | + }, | |
| 138 | + { | |
| 139 | + "cell_type": "code", | |
| 140 | + "execution_count": 27, | |
| 141 | + "id": "fbd3c853", | |
| 142 | + "metadata": {}, | |
| 143 | + "outputs": [ | |
| 144 | + { | |
| 145 | + "name": "stdout", | |
| 146 | + "output_type": "stream", | |
| 147 | + "text": [ | |
| 148 | + "can on\n" | |
| 149 | + ] | |
| 150 | + } | |
| 151 | + ], | |
| 152 | + "source": [ | |
| 153 | + "money = 1300\n", | |
| 154 | + "if money >= 1200 and money < 3500:\n", | |
| 155 | + " print(\"can on\")" | |
| 156 | + ] | |
| 157 | + }, | |
| 158 | + { | |
| 159 | + "cell_type": "code", | |
| 160 | + "execution_count": 29, | |
| 161 | + "id": "8123541a", | |
| 162 | + "metadata": {}, | |
| 163 | + "outputs": [ | |
| 164 | + { | |
| 165 | + "data": { | |
| 166 | + "text/plain": [ | |
| 167 | + "True" | |
| 168 | + ] | |
| 169 | + }, | |
| 170 | + "execution_count": 29, | |
| 171 | + "metadata": {}, | |
| 172 | + "output_type": "execute_result" | |
| 173 | + } | |
| 174 | + ], | |
| 175 | + "source": [ | |
| 176 | + "1 in [1, 2, 3]" | |
| 177 | + ] | |
| 178 | + }, | |
| 179 | + { | |
| 180 | + "cell_type": "code", | |
| 181 | + "execution_count": 31, | |
| 182 | + "id": "14443aa6", | |
| 183 | + "metadata": {}, | |
| 184 | + "outputs": [ | |
| 185 | + { | |
| 186 | + "data": { | |
| 187 | + "text/plain": [ | |
| 188 | + "True" | |
| 189 | + ] | |
| 190 | + }, | |
| 191 | + "execution_count": 31, | |
| 192 | + "metadata": {}, | |
| 193 | + "output_type": "execute_result" | |
| 194 | + } | |
| 195 | + ], | |
| 196 | + "source": [ | |
| 197 | + "5 not in [1, 2, 3]" | |
| 198 | + ] | |
| 199 | + }, | |
| 200 | + { | |
| 201 | + "cell_type": "code", | |
| 202 | + "execution_count": 32, | |
| 203 | + "id": "aa212512", | |
| 204 | + "metadata": {}, | |
| 205 | + "outputs": [ | |
| 206 | + { | |
| 207 | + "data": { | |
| 208 | + "text/plain": [ | |
| 209 | + "True" | |
| 210 | + ] | |
| 211 | + }, | |
| 212 | + "execution_count": 32, | |
| 213 | + "metadata": {}, | |
| 214 | + "output_type": "execute_result" | |
| 215 | + } | |
| 216 | + ], | |
| 217 | + "source": [ | |
| 218 | + "'a' in ['a', 'b ', 'c']" | |
| 219 | + ] | |
| 220 | + }, | |
| 221 | + { | |
| 222 | + "cell_type": "code", | |
| 223 | + "execution_count": null, | |
| 224 | + "id": "640a6ce9", | |
| 225 | + "metadata": {}, | |
| 226 | + "outputs": [], | |
| 227 | + "source": [] | |
| 228 | + } | |
| 229 | + ], | |
| 230 | + "metadata": { | |
| 231 | + "kernelspec": { | |
| 232 | + "display_name": "Python 3 (ipykernel)", | |
| 233 | + "language": "python", | |
| 234 | + "name": "python3" | |
| 235 | + }, | |
| 236 | + "language_info": { | |
| 237 | + "codemirror_mode": { | |
| 238 | + "name": "ipython", | |
| 239 | + "version": 3 | |
| 240 | + }, | |
| 241 | + "file_extension": ".py", | |
| 242 | + "mimetype": "text/x-python", | |
| 243 | + "name": "python", | |
| 244 | + "nbconvert_exporter": "python", | |
| 245 | + "pygments_lexer": "ipython3", | |
| 246 | + "version": "3.10.4" | |
| 247 | + } | |
| 248 | + }, | |
| 249 | + "nbformat": 4, | |
| 250 | + "nbformat_minor": 5 | |
| 251 | +} |
+++ 20220411/.ipynb_checkpoints/loop-checkpoint.ipynb
... | ... | @@ -0,0 +1,591 @@ |
| 1 | +{ | |
| 2 | + "cells": [ | |
| 3 | + { | |
| 4 | + "cell_type": "code", | |
| 5 | + "execution_count": 1, | |
| 6 | + "id": "7965fa5b", | |
| 7 | + "metadata": {}, | |
| 8 | + "outputs": [ | |
| 9 | + { | |
| 10 | + "name": "stdout", | |
| 11 | + "output_type": "stream", | |
| 12 | + "text": [ | |
| 13 | + "*\n", | |
| 14 | + "**\n", | |
| 15 | + "***\n", | |
| 16 | + "****\n", | |
| 17 | + "*****\n" | |
| 18 | + ] | |
| 19 | + } | |
| 20 | + ], | |
| 21 | + "source": [ | |
| 22 | + "i = 0\n", | |
| 23 | + "while i < 5:\n", | |
| 24 | + " i += 1\n", | |
| 25 | + " print('*' * i)" | |
| 26 | + ] | |
| 27 | + }, | |
| 28 | + { | |
| 29 | + "cell_type": "code", | |
| 30 | + "execution_count": 2, | |
| 31 | + "id": "ab4a0ddf", | |
| 32 | + "metadata": {}, | |
| 33 | + "outputs": [ | |
| 34 | + { | |
| 35 | + "name": "stdout", | |
| 36 | + "output_type": "stream", | |
| 37 | + "text": [ | |
| 38 | + "one\n", | |
| 39 | + "element length is : 3\n", | |
| 40 | + "two\n", | |
| 41 | + "element length is : 3\n", | |
| 42 | + "three\n", | |
| 43 | + "element length is : 5\n" | |
| 44 | + ] | |
| 45 | + } | |
| 46 | + ], | |
| 47 | + "source": [ | |
| 48 | + "l = ['one', 'two', 'three']\n", | |
| 49 | + "for i in l:\n", | |
| 50 | + " print(i)\n", | |
| 51 | + " print(\"element length is :\", len(i))" | |
| 52 | + ] | |
| 53 | + }, | |
| 54 | + { | |
| 55 | + "cell_type": "code", | |
| 56 | + "execution_count": 3, | |
| 57 | + "id": "d500b4ae", | |
| 58 | + "metadata": {}, | |
| 59 | + "outputs": [ | |
| 60 | + { | |
| 61 | + "name": "stdout", | |
| 62 | + "output_type": "stream", | |
| 63 | + "text": [ | |
| 64 | + "1번 학생은 합격(90점)입니다.\n", | |
| 65 | + "2번 학생은 불합격(25점)입니다.\n", | |
| 66 | + "3번 학생은 합격(60점)입니다.\n", | |
| 67 | + "4번 학생은 불합격(45점)입니다.\n", | |
| 68 | + "5번 학생은 합격(93점)입니다.\n" | |
| 69 | + ] | |
| 70 | + } | |
| 71 | + ], | |
| 72 | + "source": [ | |
| 73 | + "number = 0\n", | |
| 74 | + "for score in [90, 25, 60.1, 45, 93]:\n", | |
| 75 | + " number += 1\n", | |
| 76 | + " if score >= 60:\n", | |
| 77 | + " print(\"%d번 학생은 합격(%d점)입니다.\" %(number, score))\n", | |
| 78 | + " else:\n", | |
| 79 | + " print(\"%d번 학생은 불합격(%d점)입니다.\" %(number, score))" | |
| 80 | + ] | |
| 81 | + }, | |
| 82 | + { | |
| 83 | + "cell_type": "code", | |
| 84 | + "execution_count": 5, | |
| 85 | + "id": "f692f1bf", | |
| 86 | + "metadata": {}, | |
| 87 | + "outputs": [ | |
| 88 | + { | |
| 89 | + "name": "stdout", | |
| 90 | + "output_type": "stream", | |
| 91 | + "text": [ | |
| 92 | + "*****\n", | |
| 93 | + "****\n", | |
| 94 | + "***\n", | |
| 95 | + "**\n", | |
| 96 | + "*\n" | |
| 97 | + ] | |
| 98 | + } | |
| 99 | + ], | |
| 100 | + "source": [ | |
| 101 | + "i = 5\n", | |
| 102 | + "while i > 0:\n", | |
| 103 | + " print(\"*\" * i)\n", | |
| 104 | + " i -= 1" | |
| 105 | + ] | |
| 106 | + }, | |
| 107 | + { | |
| 108 | + "cell_type": "code", | |
| 109 | + "execution_count": 19, | |
| 110 | + "id": "b52d9b14", | |
| 111 | + "metadata": {}, | |
| 112 | + "outputs": [ | |
| 113 | + { | |
| 114 | + "name": "stdout", | |
| 115 | + "output_type": "stream", | |
| 116 | + "text": [ | |
| 117 | + "*\n", | |
| 118 | + "**\n", | |
| 119 | + "***\n", | |
| 120 | + "****\n", | |
| 121 | + "*****\n" | |
| 122 | + ] | |
| 123 | + } | |
| 124 | + ], | |
| 125 | + "source": [ | |
| 126 | + "i = 0\n", | |
| 127 | + "for i in range(5):\n", | |
| 128 | + " i += 1\n", | |
| 129 | + " print(\"*\" * i)" | |
| 130 | + ] | |
| 131 | + }, | |
| 132 | + { | |
| 133 | + "cell_type": "code", | |
| 134 | + "execution_count": 24, | |
| 135 | + "id": "df9bd043", | |
| 136 | + "metadata": {}, | |
| 137 | + "outputs": [ | |
| 138 | + { | |
| 139 | + "name": "stdout", | |
| 140 | + "output_type": "stream", | |
| 141 | + "text": [ | |
| 142 | + "\n", | |
| 143 | + "*\n", | |
| 144 | + "**\n", | |
| 145 | + "***\n", | |
| 146 | + "****\n", | |
| 147 | + "*****\n" | |
| 148 | + ] | |
| 149 | + } | |
| 150 | + ], | |
| 151 | + "source": [ | |
| 152 | + "for i in range(0, 6):\n", | |
| 153 | + " print(\"*\" * i)" | |
| 154 | + ] | |
| 155 | + }, | |
| 156 | + { | |
| 157 | + "cell_type": "code", | |
| 158 | + "execution_count": 25, | |
| 159 | + "id": "e8caf336", | |
| 160 | + "metadata": {}, | |
| 161 | + "outputs": [ | |
| 162 | + { | |
| 163 | + "name": "stdout", | |
| 164 | + "output_type": "stream", | |
| 165 | + "text": [ | |
| 166 | + "*\n", | |
| 167 | + "***\n", | |
| 168 | + "*****\n", | |
| 169 | + "*******\n", | |
| 170 | + "*********\n" | |
| 171 | + ] | |
| 172 | + } | |
| 173 | + ], | |
| 174 | + "source": [ | |
| 175 | + "for i in range(1, 11, 2):\n", | |
| 176 | + " print(\"*\" * i)" | |
| 177 | + ] | |
| 178 | + }, | |
| 179 | + { | |
| 180 | + "cell_type": "code", | |
| 181 | + "execution_count": 27, | |
| 182 | + "id": "f75ee029", | |
| 183 | + "metadata": {}, | |
| 184 | + "outputs": [ | |
| 185 | + { | |
| 186 | + "name": "stdout", | |
| 187 | + "output_type": "stream", | |
| 188 | + "text": [ | |
| 189 | + "*****\n", | |
| 190 | + "****\n", | |
| 191 | + "***\n", | |
| 192 | + "**\n", | |
| 193 | + "*\n" | |
| 194 | + ] | |
| 195 | + } | |
| 196 | + ], | |
| 197 | + "source": [ | |
| 198 | + "i = 5\n", | |
| 199 | + "while i > 0:\n", | |
| 200 | + " print(\"*\" * i)\n", | |
| 201 | + " i -= 1" | |
| 202 | + ] | |
| 203 | + }, | |
| 204 | + { | |
| 205 | + "cell_type": "code", | |
| 206 | + "execution_count": 29, | |
| 207 | + "id": "f2abcb85", | |
| 208 | + "metadata": {}, | |
| 209 | + "outputs": [ | |
| 210 | + { | |
| 211 | + "name": "stdout", | |
| 212 | + "output_type": "stream", | |
| 213 | + "text": [ | |
| 214 | + "*****\n", | |
| 215 | + "****\n", | |
| 216 | + "***\n", | |
| 217 | + "**\n", | |
| 218 | + "*\n" | |
| 219 | + ] | |
| 220 | + } | |
| 221 | + ], | |
| 222 | + "source": [ | |
| 223 | + "for i in range(5, 0, -1):\n", | |
| 224 | + " print(\"*\" * i)" | |
| 225 | + ] | |
| 226 | + }, | |
| 227 | + { | |
| 228 | + "cell_type": "code", | |
| 229 | + "execution_count": 33, | |
| 230 | + "id": "fbd0824c", | |
| 231 | + "metadata": {}, | |
| 232 | + "outputs": [ | |
| 233 | + { | |
| 234 | + "name": "stdout", | |
| 235 | + "output_type": "stream", | |
| 236 | + "text": [ | |
| 237 | + "4\n" | |
| 238 | + ] | |
| 239 | + } | |
| 240 | + ], | |
| 241 | + "source": [ | |
| 242 | + "def sum1(a, b):\n", | |
| 243 | + " x = a + b\n", | |
| 244 | + " return x\n", | |
| 245 | + "\n", | |
| 246 | + "print(sum1(2, 2))" | |
| 247 | + ] | |
| 248 | + }, | |
| 249 | + { | |
| 250 | + "cell_type": "code", | |
| 251 | + "execution_count": 37, | |
| 252 | + "id": "389b2569", | |
| 253 | + "metadata": {}, | |
| 254 | + "outputs": [ | |
| 255 | + { | |
| 256 | + "data": { | |
| 257 | + "text/plain": [ | |
| 258 | + "9" | |
| 259 | + ] | |
| 260 | + }, | |
| 261 | + "execution_count": 37, | |
| 262 | + "metadata": {}, | |
| 263 | + "output_type": "execute_result" | |
| 264 | + } | |
| 265 | + ], | |
| 266 | + "source": [ | |
| 267 | + "def sum3(*args):\n", | |
| 268 | + " x = 0\n", | |
| 269 | + " for i in args:\n", | |
| 270 | + " x += i\n", | |
| 271 | + " return x\n", | |
| 272 | + "sum3(3, 3, 3)" | |
| 273 | + ] | |
| 274 | + }, | |
| 275 | + { | |
| 276 | + "cell_type": "code", | |
| 277 | + "execution_count": 50, | |
| 278 | + "id": "5f9d182a", | |
| 279 | + "metadata": {}, | |
| 280 | + "outputs": [], | |
| 281 | + "source": [ | |
| 282 | + "def star(*args):\n", | |
| 283 | + " for i in args:\n", | |
| 284 | + " print(\"*\" * i)" | |
| 285 | + ] | |
| 286 | + }, | |
| 287 | + { | |
| 288 | + "cell_type": "code", | |
| 289 | + "execution_count": 51, | |
| 290 | + "id": "d0a32e25", | |
| 291 | + "metadata": {}, | |
| 292 | + "outputs": [ | |
| 293 | + { | |
| 294 | + "name": "stdout", | |
| 295 | + "output_type": "stream", | |
| 296 | + "text": [ | |
| 297 | + "*****\n", | |
| 298 | + "***\n", | |
| 299 | + "**\n", | |
| 300 | + "******************************************************\n", | |
| 301 | + "****\n" | |
| 302 | + ] | |
| 303 | + } | |
| 304 | + ], | |
| 305 | + "source": [ | |
| 306 | + "star(5, 3, 2, 54, 4)" | |
| 307 | + ] | |
| 308 | + }, | |
| 309 | + { | |
| 310 | + "cell_type": "code", | |
| 311 | + "execution_count": 52, | |
| 312 | + "id": "3aa6e066", | |
| 313 | + "metadata": {}, | |
| 314 | + "outputs": [], | |
| 315 | + "source": [ | |
| 316 | + "# internal function" | |
| 317 | + ] | |
| 318 | + }, | |
| 319 | + { | |
| 320 | + "cell_type": "code", | |
| 321 | + "execution_count": 54, | |
| 322 | + "id": "67bad3f1", | |
| 323 | + "metadata": {}, | |
| 324 | + "outputs": [ | |
| 325 | + { | |
| 326 | + "data": { | |
| 327 | + "text/plain": [ | |
| 328 | + "3" | |
| 329 | + ] | |
| 330 | + }, | |
| 331 | + "execution_count": 54, | |
| 332 | + "metadata": {}, | |
| 333 | + "output_type": "execute_result" | |
| 334 | + } | |
| 335 | + ], | |
| 336 | + "source": [ | |
| 337 | + "abs(-3) # absolute" | |
| 338 | + ] | |
| 339 | + }, | |
| 340 | + { | |
| 341 | + "cell_type": "code", | |
| 342 | + "execution_count": 59, | |
| 343 | + "id": "9da6a225", | |
| 344 | + "metadata": {}, | |
| 345 | + "outputs": [ | |
| 346 | + { | |
| 347 | + "data": { | |
| 348 | + "text/plain": [ | |
| 349 | + "True" | |
| 350 | + ] | |
| 351 | + }, | |
| 352 | + "execution_count": 59, | |
| 353 | + "metadata": {}, | |
| 354 | + "output_type": "execute_result" | |
| 355 | + } | |
| 356 | + ], | |
| 357 | + "source": [ | |
| 358 | + "all([1, 2, 3, 4])" | |
| 359 | + ] | |
| 360 | + }, | |
| 361 | + { | |
| 362 | + "cell_type": "code", | |
| 363 | + "execution_count": 61, | |
| 364 | + "id": "66433eb0", | |
| 365 | + "metadata": {}, | |
| 366 | + "outputs": [ | |
| 367 | + { | |
| 368 | + "data": { | |
| 369 | + "text/plain": [ | |
| 370 | + "True" | |
| 371 | + ] | |
| 372 | + }, | |
| 373 | + "execution_count": 61, | |
| 374 | + "metadata": {}, | |
| 375 | + "output_type": "execute_result" | |
| 376 | + } | |
| 377 | + ], | |
| 378 | + "source": [ | |
| 379 | + "any([0, 0, 0, 0, 0, 1])" | |
| 380 | + ] | |
| 381 | + }, | |
| 382 | + { | |
| 383 | + "cell_type": "code", | |
| 384 | + "execution_count": 65, | |
| 385 | + "id": "fe4d4119", | |
| 386 | + "metadata": {}, | |
| 387 | + "outputs": [ | |
| 388 | + { | |
| 389 | + "data": { | |
| 390 | + "text/plain": [ | |
| 391 | + "'a'" | |
| 392 | + ] | |
| 393 | + }, | |
| 394 | + "execution_count": 65, | |
| 395 | + "metadata": {}, | |
| 396 | + "output_type": "execute_result" | |
| 397 | + } | |
| 398 | + ], | |
| 399 | + "source": [ | |
| 400 | + "chr(97)" | |
| 401 | + ] | |
| 402 | + }, | |
| 403 | + { | |
| 404 | + "cell_type": "code", | |
| 405 | + "execution_count": 66, | |
| 406 | + "id": "8238d660", | |
| 407 | + "metadata": {}, | |
| 408 | + "outputs": [ | |
| 409 | + { | |
| 410 | + "data": { | |
| 411 | + "text/plain": [ | |
| 412 | + "97" | |
| 413 | + ] | |
| 414 | + }, | |
| 415 | + "execution_count": 66, | |
| 416 | + "metadata": {}, | |
| 417 | + "output_type": "execute_result" | |
| 418 | + } | |
| 419 | + ], | |
| 420 | + "source": [ | |
| 421 | + "ord('a')" | |
| 422 | + ] | |
| 423 | + }, | |
| 424 | + { | |
| 425 | + "cell_type": "code", | |
| 426 | + "execution_count": 76, | |
| 427 | + "id": "2c356f2a", | |
| 428 | + "metadata": {}, | |
| 429 | + "outputs": [ | |
| 430 | + { | |
| 431 | + "data": { | |
| 432 | + "text/plain": [ | |
| 433 | + "1" | |
| 434 | + ] | |
| 435 | + }, | |
| 436 | + "execution_count": 76, | |
| 437 | + "metadata": {}, | |
| 438 | + "output_type": "execute_result" | |
| 439 | + } | |
| 440 | + ], | |
| 441 | + "source": [ | |
| 442 | + "a = 1\n", | |
| 443 | + "a.real" | |
| 444 | + ] | |
| 445 | + }, | |
| 446 | + { | |
| 447 | + "cell_type": "code", | |
| 448 | + "execution_count": 78, | |
| 449 | + "id": "5bda70d3", | |
| 450 | + "metadata": {}, | |
| 451 | + "outputs": [ | |
| 452 | + { | |
| 453 | + "data": { | |
| 454 | + "text/plain": [ | |
| 455 | + "(2, 1)" | |
| 456 | + ] | |
| 457 | + }, | |
| 458 | + "execution_count": 78, | |
| 459 | + "metadata": {}, | |
| 460 | + "output_type": "execute_result" | |
| 461 | + } | |
| 462 | + ], | |
| 463 | + "source": [ | |
| 464 | + "divmod(7, 3)" | |
| 465 | + ] | |
| 466 | + }, | |
| 467 | + { | |
| 468 | + "cell_type": "code", | |
| 469 | + "execution_count": 84, | |
| 470 | + "id": "c389c244", | |
| 471 | + "metadata": {}, | |
| 472 | + "outputs": [ | |
| 473 | + { | |
| 474 | + "data": { | |
| 475 | + "text/plain": [ | |
| 476 | + "6" | |
| 477 | + ] | |
| 478 | + }, | |
| 479 | + "execution_count": 84, | |
| 480 | + "metadata": {}, | |
| 481 | + "output_type": "execute_result" | |
| 482 | + } | |
| 483 | + ], | |
| 484 | + "source": [ | |
| 485 | + "sum = lambda a,b: a+b # anonymous function\n", | |
| 486 | + "sum(2, 4)" | |
| 487 | + ] | |
| 488 | + }, | |
| 489 | + { | |
| 490 | + "cell_type": "code", | |
| 491 | + "execution_count": null, | |
| 492 | + "id": "a1776047", | |
| 493 | + "metadata": {}, | |
| 494 | + "outputs": [], | |
| 495 | + "source": [] | |
| 496 | + }, | |
| 497 | + { | |
| 498 | + "cell_type": "code", | |
| 499 | + "execution_count": null, | |
| 500 | + "id": "b2c9465e", | |
| 501 | + "metadata": {}, | |
| 502 | + "outputs": [], | |
| 503 | + "source": [] | |
| 504 | + }, | |
| 505 | + { | |
| 506 | + "cell_type": "code", | |
| 507 | + "execution_count": null, | |
| 508 | + "id": "7c2639a8", | |
| 509 | + "metadata": {}, | |
| 510 | + "outputs": [], | |
| 511 | + "source": [] | |
| 512 | + }, | |
| 513 | + { | |
| 514 | + "cell_type": "code", | |
| 515 | + "execution_count": null, | |
| 516 | + "id": "bed9db87", | |
| 517 | + "metadata": {}, | |
| 518 | + "outputs": [], | |
| 519 | + "source": [] | |
| 520 | + }, | |
| 521 | + { | |
| 522 | + "cell_type": "code", | |
| 523 | + "execution_count": null, | |
| 524 | + "id": "66ea3e0c", | |
| 525 | + "metadata": {}, | |
| 526 | + "outputs": [], | |
| 527 | + "source": [] | |
| 528 | + }, | |
| 529 | + { | |
| 530 | + "cell_type": "code", | |
| 531 | + "execution_count": null, | |
| 532 | + "id": "91cd5457", | |
| 533 | + "metadata": {}, | |
| 534 | + "outputs": [], | |
| 535 | + "source": [] | |
| 536 | + }, | |
| 537 | + { | |
| 538 | + "cell_type": "code", | |
| 539 | + "execution_count": null, | |
| 540 | + "id": "eeff7c14", | |
| 541 | + "metadata": {}, | |
| 542 | + "outputs": [], | |
| 543 | + "source": [] | |
| 544 | + }, | |
| 545 | + { | |
| 546 | + "cell_type": "code", | |
| 547 | + "execution_count": null, | |
| 548 | + "id": "d3c5d49a", | |
| 549 | + "metadata": {}, | |
| 550 | + "outputs": [], | |
| 551 | + "source": [] | |
| 552 | + }, | |
| 553 | + { | |
| 554 | + "cell_type": "code", | |
| 555 | + "execution_count": null, | |
| 556 | + "id": "c65732e9", | |
| 557 | + "metadata": {}, | |
| 558 | + "outputs": [], | |
| 559 | + "source": [] | |
| 560 | + }, | |
| 561 | + { | |
| 562 | + "cell_type": "code", | |
| 563 | + "execution_count": null, | |
| 564 | + "id": "9f4f90c7", | |
| 565 | + "metadata": {}, | |
| 566 | + "outputs": [], | |
| 567 | + "source": [] | |
| 568 | + } | |
| 569 | + ], | |
| 570 | + "metadata": { | |
| 571 | + "kernelspec": { | |
| 572 | + "display_name": "Python 3 (ipykernel)", | |
| 573 | + "language": "python", | |
| 574 | + "name": "python3" | |
| 575 | + }, | |
| 576 | + "language_info": { | |
| 577 | + "codemirror_mode": { | |
| 578 | + "name": "ipython", | |
| 579 | + "version": 3 | |
| 580 | + }, | |
| 581 | + "file_extension": ".py", | |
| 582 | + "mimetype": "text/x-python", | |
| 583 | + "name": "python", | |
| 584 | + "nbconvert_exporter": "python", | |
| 585 | + "pygments_lexer": "ipython3", | |
| 586 | + "version": "3.10.4" | |
| 587 | + } | |
| 588 | + }, | |
| 589 | + "nbformat": 4, | |
| 590 | + "nbformat_minor": 5 | |
| 591 | +} |
+++ 20220411/condition.ipynb
... | ... | @@ -0,0 +1,251 @@ |
| 1 | +{ | |
| 2 | + "cells": [ | |
| 3 | + { | |
| 4 | + "cell_type": "code", | |
| 5 | + "execution_count": 2, | |
| 6 | + "id": "557e0b11", | |
| 7 | + "metadata": {}, | |
| 8 | + "outputs": [], | |
| 9 | + "source": [ | |
| 10 | + "x = 3\n", | |
| 11 | + "y = 2" | |
| 12 | + ] | |
| 13 | + }, | |
| 14 | + { | |
| 15 | + "cell_type": "code", | |
| 16 | + "execution_count": 3, | |
| 17 | + "id": "ca5c36a6", | |
| 18 | + "metadata": {}, | |
| 19 | + "outputs": [ | |
| 20 | + { | |
| 21 | + "data": { | |
| 22 | + "text/plain": [ | |
| 23 | + "False" | |
| 24 | + ] | |
| 25 | + }, | |
| 26 | + "execution_count": 3, | |
| 27 | + "metadata": {}, | |
| 28 | + "output_type": "execute_result" | |
| 29 | + } | |
| 30 | + ], | |
| 31 | + "source": [ | |
| 32 | + "x == y" | |
| 33 | + ] | |
| 34 | + }, | |
| 35 | + { | |
| 36 | + "cell_type": "code", | |
| 37 | + "execution_count": 4, | |
| 38 | + "id": "0d6f68ea", | |
| 39 | + "metadata": {}, | |
| 40 | + "outputs": [ | |
| 41 | + { | |
| 42 | + "data": { | |
| 43 | + "text/plain": [ | |
| 44 | + "True" | |
| 45 | + ] | |
| 46 | + }, | |
| 47 | + "execution_count": 4, | |
| 48 | + "metadata": {}, | |
| 49 | + "output_type": "execute_result" | |
| 50 | + } | |
| 51 | + ], | |
| 52 | + "source": [ | |
| 53 | + "x != y" | |
| 54 | + ] | |
| 55 | + }, | |
| 56 | + { | |
| 57 | + "cell_type": "code", | |
| 58 | + "execution_count": 5, | |
| 59 | + "id": "cd2be343", | |
| 60 | + "metadata": {}, | |
| 61 | + "outputs": [ | |
| 62 | + { | |
| 63 | + "data": { | |
| 64 | + "text/plain": [ | |
| 65 | + "True" | |
| 66 | + ] | |
| 67 | + }, | |
| 68 | + "execution_count": 5, | |
| 69 | + "metadata": {}, | |
| 70 | + "output_type": "execute_result" | |
| 71 | + } | |
| 72 | + ], | |
| 73 | + "source": [ | |
| 74 | + "x > y" | |
| 75 | + ] | |
| 76 | + }, | |
| 77 | + { | |
| 78 | + "cell_type": "code", | |
| 79 | + "execution_count": 6, | |
| 80 | + "id": "f1ff3b3d", | |
| 81 | + "metadata": {}, | |
| 82 | + "outputs": [ | |
| 83 | + { | |
| 84 | + "data": { | |
| 85 | + "text/plain": [ | |
| 86 | + "True" | |
| 87 | + ] | |
| 88 | + }, | |
| 89 | + "execution_count": 6, | |
| 90 | + "metadata": {}, | |
| 91 | + "output_type": "execute_result" | |
| 92 | + } | |
| 93 | + ], | |
| 94 | + "source": [ | |
| 95 | + "x >= y" | |
| 96 | + ] | |
| 97 | + }, | |
| 98 | + { | |
| 99 | + "cell_type": "code", | |
| 100 | + "execution_count": 12, | |
| 101 | + "id": "58f4edaf", | |
| 102 | + "metadata": { | |
| 103 | + "scrolled": true | |
| 104 | + }, | |
| 105 | + "outputs": [ | |
| 106 | + { | |
| 107 | + "name": "stdout", | |
| 108 | + "output_type": "stream", | |
| 109 | + "text": [ | |
| 110 | + "3 is bigger than 2\n" | |
| 111 | + ] | |
| 112 | + } | |
| 113 | + ], | |
| 114 | + "source": [ | |
| 115 | + "if x > y:\n", | |
| 116 | + " print(x,\"is bigger than\", y)" | |
| 117 | + ] | |
| 118 | + }, | |
| 119 | + { | |
| 120 | + "cell_type": "code", | |
| 121 | + "execution_count": 26, | |
| 122 | + "id": "e9452a71", | |
| 123 | + "metadata": {}, | |
| 124 | + "outputs": [ | |
| 125 | + { | |
| 126 | + "name": "stdout", | |
| 127 | + "output_type": "stream", | |
| 128 | + "text": [ | |
| 129 | + "3가 2보다 큽니다.\n" | |
| 130 | + ] | |
| 131 | + } | |
| 132 | + ], | |
| 133 | + "source": [ | |
| 134 | + "if x > y:\n", | |
| 135 | + " print(\"%d가 %d보다 큽니다.\" %(x, y))" | |
| 136 | + ] | |
| 137 | + }, | |
| 138 | + { | |
| 139 | + "cell_type": "code", | |
| 140 | + "execution_count": 27, | |
| 141 | + "id": "fbd3c853", | |
| 142 | + "metadata": {}, | |
| 143 | + "outputs": [ | |
| 144 | + { | |
| 145 | + "name": "stdout", | |
| 146 | + "output_type": "stream", | |
| 147 | + "text": [ | |
| 148 | + "can on\n" | |
| 149 | + ] | |
| 150 | + } | |
| 151 | + ], | |
| 152 | + "source": [ | |
| 153 | + "money = 1300\n", | |
| 154 | + "if money >= 1200 and money < 3500:\n", | |
| 155 | + " print(\"can on\")" | |
| 156 | + ] | |
| 157 | + }, | |
| 158 | + { | |
| 159 | + "cell_type": "code", | |
| 160 | + "execution_count": 29, | |
| 161 | + "id": "8123541a", | |
| 162 | + "metadata": {}, | |
| 163 | + "outputs": [ | |
| 164 | + { | |
| 165 | + "data": { | |
| 166 | + "text/plain": [ | |
| 167 | + "True" | |
| 168 | + ] | |
| 169 | + }, | |
| 170 | + "execution_count": 29, | |
| 171 | + "metadata": {}, | |
| 172 | + "output_type": "execute_result" | |
| 173 | + } | |
| 174 | + ], | |
| 175 | + "source": [ | |
| 176 | + "1 in [1, 2, 3]" | |
| 177 | + ] | |
| 178 | + }, | |
| 179 | + { | |
| 180 | + "cell_type": "code", | |
| 181 | + "execution_count": 31, | |
| 182 | + "id": "14443aa6", | |
| 183 | + "metadata": {}, | |
| 184 | + "outputs": [ | |
| 185 | + { | |
| 186 | + "data": { | |
| 187 | + "text/plain": [ | |
| 188 | + "True" | |
| 189 | + ] | |
| 190 | + }, | |
| 191 | + "execution_count": 31, | |
| 192 | + "metadata": {}, | |
| 193 | + "output_type": "execute_result" | |
| 194 | + } | |
| 195 | + ], | |
| 196 | + "source": [ | |
| 197 | + "5 not in [1, 2, 3]" | |
| 198 | + ] | |
| 199 | + }, | |
| 200 | + { | |
| 201 | + "cell_type": "code", | |
| 202 | + "execution_count": 32, | |
| 203 | + "id": "aa212512", | |
| 204 | + "metadata": {}, | |
| 205 | + "outputs": [ | |
| 206 | + { | |
| 207 | + "data": { | |
| 208 | + "text/plain": [ | |
| 209 | + "True" | |
| 210 | + ] | |
| 211 | + }, | |
| 212 | + "execution_count": 32, | |
| 213 | + "metadata": {}, | |
| 214 | + "output_type": "execute_result" | |
| 215 | + } | |
| 216 | + ], | |
| 217 | + "source": [ | |
| 218 | + "'a' in ['a', 'b ', 'c']" | |
| 219 | + ] | |
| 220 | + }, | |
| 221 | + { | |
| 222 | + "cell_type": "code", | |
| 223 | + "execution_count": null, | |
| 224 | + "id": "640a6ce9", | |
| 225 | + "metadata": {}, | |
| 226 | + "outputs": [], | |
| 227 | + "source": [] | |
| 228 | + } | |
| 229 | + ], | |
| 230 | + "metadata": { | |
| 231 | + "kernelspec": { | |
| 232 | + "display_name": "Python 3 (ipykernel)", | |
| 233 | + "language": "python", | |
| 234 | + "name": "python3" | |
| 235 | + }, | |
| 236 | + "language_info": { | |
| 237 | + "codemirror_mode": { | |
| 238 | + "name": "ipython", | |
| 239 | + "version": 3 | |
| 240 | + }, | |
| 241 | + "file_extension": ".py", | |
| 242 | + "mimetype": "text/x-python", | |
| 243 | + "name": "python", | |
| 244 | + "nbconvert_exporter": "python", | |
| 245 | + "pygments_lexer": "ipython3", | |
| 246 | + "version": "3.10.4" | |
| 247 | + } | |
| 248 | + }, | |
| 249 | + "nbformat": 4, | |
| 250 | + "nbformat_minor": 5 | |
| 251 | +} |
+++ 20220411/loop.ipynb
... | ... | @@ -0,0 +1,591 @@ |
| 1 | +{ | |
| 2 | + "cells": [ | |
| 3 | + { | |
| 4 | + "cell_type": "code", | |
| 5 | + "execution_count": 1, | |
| 6 | + "id": "7965fa5b", | |
| 7 | + "metadata": {}, | |
| 8 | + "outputs": [ | |
| 9 | + { | |
| 10 | + "name": "stdout", | |
| 11 | + "output_type": "stream", | |
| 12 | + "text": [ | |
| 13 | + "*\n", | |
| 14 | + "**\n", | |
| 15 | + "***\n", | |
| 16 | + "****\n", | |
| 17 | + "*****\n" | |
| 18 | + ] | |
| 19 | + } | |
| 20 | + ], | |
| 21 | + "source": [ | |
| 22 | + "i = 0\n", | |
| 23 | + "while i < 5:\n", | |
| 24 | + " i += 1\n", | |
| 25 | + " print('*' * i)" | |
| 26 | + ] | |
| 27 | + }, | |
| 28 | + { | |
| 29 | + "cell_type": "code", | |
| 30 | + "execution_count": 2, | |
| 31 | + "id": "ab4a0ddf", | |
| 32 | + "metadata": {}, | |
| 33 | + "outputs": [ | |
| 34 | + { | |
| 35 | + "name": "stdout", | |
| 36 | + "output_type": "stream", | |
| 37 | + "text": [ | |
| 38 | + "one\n", | |
| 39 | + "element length is : 3\n", | |
| 40 | + "two\n", | |
| 41 | + "element length is : 3\n", | |
| 42 | + "three\n", | |
| 43 | + "element length is : 5\n" | |
| 44 | + ] | |
| 45 | + } | |
| 46 | + ], | |
| 47 | + "source": [ | |
| 48 | + "l = ['one', 'two', 'three']\n", | |
| 49 | + "for i in l:\n", | |
| 50 | + " print(i)\n", | |
| 51 | + " print(\"element length is :\", len(i))" | |
| 52 | + ] | |
| 53 | + }, | |
| 54 | + { | |
| 55 | + "cell_type": "code", | |
| 56 | + "execution_count": 3, | |
| 57 | + "id": "d500b4ae", | |
| 58 | + "metadata": {}, | |
| 59 | + "outputs": [ | |
| 60 | + { | |
| 61 | + "name": "stdout", | |
| 62 | + "output_type": "stream", | |
| 63 | + "text": [ | |
| 64 | + "1번 학생은 합격(90점)입니다.\n", | |
| 65 | + "2번 학생은 불합격(25점)입니다.\n", | |
| 66 | + "3번 학생은 합격(60점)입니다.\n", | |
| 67 | + "4번 학생은 불합격(45점)입니다.\n", | |
| 68 | + "5번 학생은 합격(93점)입니다.\n" | |
| 69 | + ] | |
| 70 | + } | |
| 71 | + ], | |
| 72 | + "source": [ | |
| 73 | + "number = 0\n", | |
| 74 | + "for score in [90, 25, 60.1, 45, 93]:\n", | |
| 75 | + " number += 1\n", | |
| 76 | + " if score >= 60:\n", | |
| 77 | + " print(\"%d번 학생은 합격(%d점)입니다.\" %(number, score))\n", | |
| 78 | + " else:\n", | |
| 79 | + " print(\"%d번 학생은 불합격(%d점)입니다.\" %(number, score))" | |
| 80 | + ] | |
| 81 | + }, | |
| 82 | + { | |
| 83 | + "cell_type": "code", | |
| 84 | + "execution_count": 5, | |
| 85 | + "id": "f692f1bf", | |
| 86 | + "metadata": {}, | |
| 87 | + "outputs": [ | |
| 88 | + { | |
| 89 | + "name": "stdout", | |
| 90 | + "output_type": "stream", | |
| 91 | + "text": [ | |
| 92 | + "*****\n", | |
| 93 | + "****\n", | |
| 94 | + "***\n", | |
| 95 | + "**\n", | |
| 96 | + "*\n" | |
| 97 | + ] | |
| 98 | + } | |
| 99 | + ], | |
| 100 | + "source": [ | |
| 101 | + "i = 5\n", | |
| 102 | + "while i > 0:\n", | |
| 103 | + " print(\"*\" * i)\n", | |
| 104 | + " i -= 1" | |
| 105 | + ] | |
| 106 | + }, | |
| 107 | + { | |
| 108 | + "cell_type": "code", | |
| 109 | + "execution_count": 19, | |
| 110 | + "id": "b52d9b14", | |
| 111 | + "metadata": {}, | |
| 112 | + "outputs": [ | |
| 113 | + { | |
| 114 | + "name": "stdout", | |
| 115 | + "output_type": "stream", | |
| 116 | + "text": [ | |
| 117 | + "*\n", | |
| 118 | + "**\n", | |
| 119 | + "***\n", | |
| 120 | + "****\n", | |
| 121 | + "*****\n" | |
| 122 | + ] | |
| 123 | + } | |
| 124 | + ], | |
| 125 | + "source": [ | |
| 126 | + "i = 0\n", | |
| 127 | + "for i in range(5):\n", | |
| 128 | + " i += 1\n", | |
| 129 | + " print(\"*\" * i)" | |
| 130 | + ] | |
| 131 | + }, | |
| 132 | + { | |
| 133 | + "cell_type": "code", | |
| 134 | + "execution_count": 24, | |
| 135 | + "id": "df9bd043", | |
| 136 | + "metadata": {}, | |
| 137 | + "outputs": [ | |
| 138 | + { | |
| 139 | + "name": "stdout", | |
| 140 | + "output_type": "stream", | |
| 141 | + "text": [ | |
| 142 | + "\n", | |
| 143 | + "*\n", | |
| 144 | + "**\n", | |
| 145 | + "***\n", | |
| 146 | + "****\n", | |
| 147 | + "*****\n" | |
| 148 | + ] | |
| 149 | + } | |
| 150 | + ], | |
| 151 | + "source": [ | |
| 152 | + "for i in range(0, 6):\n", | |
| 153 | + " print(\"*\" * i)" | |
| 154 | + ] | |
| 155 | + }, | |
| 156 | + { | |
| 157 | + "cell_type": "code", | |
| 158 | + "execution_count": 25, | |
| 159 | + "id": "e8caf336", | |
| 160 | + "metadata": {}, | |
| 161 | + "outputs": [ | |
| 162 | + { | |
| 163 | + "name": "stdout", | |
| 164 | + "output_type": "stream", | |
| 165 | + "text": [ | |
| 166 | + "*\n", | |
| 167 | + "***\n", | |
| 168 | + "*****\n", | |
| 169 | + "*******\n", | |
| 170 | + "*********\n" | |
| 171 | + ] | |
| 172 | + } | |
| 173 | + ], | |
| 174 | + "source": [ | |
| 175 | + "for i in range(1, 11, 2):\n", | |
| 176 | + " print(\"*\" * i)" | |
| 177 | + ] | |
| 178 | + }, | |
| 179 | + { | |
| 180 | + "cell_type": "code", | |
| 181 | + "execution_count": 27, | |
| 182 | + "id": "f75ee029", | |
| 183 | + "metadata": {}, | |
| 184 | + "outputs": [ | |
| 185 | + { | |
| 186 | + "name": "stdout", | |
| 187 | + "output_type": "stream", | |
| 188 | + "text": [ | |
| 189 | + "*****\n", | |
| 190 | + "****\n", | |
| 191 | + "***\n", | |
| 192 | + "**\n", | |
| 193 | + "*\n" | |
| 194 | + ] | |
| 195 | + } | |
| 196 | + ], | |
| 197 | + "source": [ | |
| 198 | + "i = 5\n", | |
| 199 | + "while i > 0:\n", | |
| 200 | + " print(\"*\" * i)\n", | |
| 201 | + " i -= 1" | |
| 202 | + ] | |
| 203 | + }, | |
| 204 | + { | |
| 205 | + "cell_type": "code", | |
| 206 | + "execution_count": 29, | |
| 207 | + "id": "f2abcb85", | |
| 208 | + "metadata": {}, | |
| 209 | + "outputs": [ | |
| 210 | + { | |
| 211 | + "name": "stdout", | |
| 212 | + "output_type": "stream", | |
| 213 | + "text": [ | |
| 214 | + "*****\n", | |
| 215 | + "****\n", | |
| 216 | + "***\n", | |
| 217 | + "**\n", | |
| 218 | + "*\n" | |
| 219 | + ] | |
| 220 | + } | |
| 221 | + ], | |
| 222 | + "source": [ | |
| 223 | + "for i in range(5, 0, -1):\n", | |
| 224 | + " print(\"*\" * i)" | |
| 225 | + ] | |
| 226 | + }, | |
| 227 | + { | |
| 228 | + "cell_type": "code", | |
| 229 | + "execution_count": 33, | |
| 230 | + "id": "fbd0824c", | |
| 231 | + "metadata": {}, | |
| 232 | + "outputs": [ | |
| 233 | + { | |
| 234 | + "name": "stdout", | |
| 235 | + "output_type": "stream", | |
| 236 | + "text": [ | |
| 237 | + "4\n" | |
| 238 | + ] | |
| 239 | + } | |
| 240 | + ], | |
| 241 | + "source": [ | |
| 242 | + "def sum1(a, b):\n", | |
| 243 | + " x = a + b\n", | |
| 244 | + " return x\n", | |
| 245 | + "\n", | |
| 246 | + "print(sum1(2, 2))" | |
| 247 | + ] | |
| 248 | + }, | |
| 249 | + { | |
| 250 | + "cell_type": "code", | |
| 251 | + "execution_count": 37, | |
| 252 | + "id": "389b2569", | |
| 253 | + "metadata": {}, | |
| 254 | + "outputs": [ | |
| 255 | + { | |
| 256 | + "data": { | |
| 257 | + "text/plain": [ | |
| 258 | + "9" | |
| 259 | + ] | |
| 260 | + }, | |
| 261 | + "execution_count": 37, | |
| 262 | + "metadata": {}, | |
| 263 | + "output_type": "execute_result" | |
| 264 | + } | |
| 265 | + ], | |
| 266 | + "source": [ | |
| 267 | + "def sum3(*args):\n", | |
| 268 | + " x = 0\n", | |
| 269 | + " for i in args:\n", | |
| 270 | + " x += i\n", | |
| 271 | + " return x\n", | |
| 272 | + "sum3(3, 3, 3)" | |
| 273 | + ] | |
| 274 | + }, | |
| 275 | + { | |
| 276 | + "cell_type": "code", | |
| 277 | + "execution_count": 50, | |
| 278 | + "id": "5f9d182a", | |
| 279 | + "metadata": {}, | |
| 280 | + "outputs": [], | |
| 281 | + "source": [ | |
| 282 | + "def star(*args):\n", | |
| 283 | + " for i in args:\n", | |
| 284 | + " print(\"*\" * i)" | |
| 285 | + ] | |
| 286 | + }, | |
| 287 | + { | |
| 288 | + "cell_type": "code", | |
| 289 | + "execution_count": 51, | |
| 290 | + "id": "d0a32e25", | |
| 291 | + "metadata": {}, | |
| 292 | + "outputs": [ | |
| 293 | + { | |
| 294 | + "name": "stdout", | |
| 295 | + "output_type": "stream", | |
| 296 | + "text": [ | |
| 297 | + "*****\n", | |
| 298 | + "***\n", | |
| 299 | + "**\n", | |
| 300 | + "******************************************************\n", | |
| 301 | + "****\n" | |
| 302 | + ] | |
| 303 | + } | |
| 304 | + ], | |
| 305 | + "source": [ | |
| 306 | + "star(5, 3, 2, 54, 4)" | |
| 307 | + ] | |
| 308 | + }, | |
| 309 | + { | |
| 310 | + "cell_type": "code", | |
| 311 | + "execution_count": 52, | |
| 312 | + "id": "3aa6e066", | |
| 313 | + "metadata": {}, | |
| 314 | + "outputs": [], | |
| 315 | + "source": [ | |
| 316 | + "# internal function" | |
| 317 | + ] | |
| 318 | + }, | |
| 319 | + { | |
| 320 | + "cell_type": "code", | |
| 321 | + "execution_count": 54, | |
| 322 | + "id": "67bad3f1", | |
| 323 | + "metadata": {}, | |
| 324 | + "outputs": [ | |
| 325 | + { | |
| 326 | + "data": { | |
| 327 | + "text/plain": [ | |
| 328 | + "3" | |
| 329 | + ] | |
| 330 | + }, | |
| 331 | + "execution_count": 54, | |
| 332 | + "metadata": {}, | |
| 333 | + "output_type": "execute_result" | |
| 334 | + } | |
| 335 | + ], | |
| 336 | + "source": [ | |
| 337 | + "abs(-3) # absolute" | |
| 338 | + ] | |
| 339 | + }, | |
| 340 | + { | |
| 341 | + "cell_type": "code", | |
| 342 | + "execution_count": 59, | |
| 343 | + "id": "9da6a225", | |
| 344 | + "metadata": {}, | |
| 345 | + "outputs": [ | |
| 346 | + { | |
| 347 | + "data": { | |
| 348 | + "text/plain": [ | |
| 349 | + "True" | |
| 350 | + ] | |
| 351 | + }, | |
| 352 | + "execution_count": 59, | |
| 353 | + "metadata": {}, | |
| 354 | + "output_type": "execute_result" | |
| 355 | + } | |
| 356 | + ], | |
| 357 | + "source": [ | |
| 358 | + "all([1, 2, 3, 4])" | |
| 359 | + ] | |
| 360 | + }, | |
| 361 | + { | |
| 362 | + "cell_type": "code", | |
| 363 | + "execution_count": 61, | |
| 364 | + "id": "66433eb0", | |
| 365 | + "metadata": {}, | |
| 366 | + "outputs": [ | |
| 367 | + { | |
| 368 | + "data": { | |
| 369 | + "text/plain": [ | |
| 370 | + "True" | |
| 371 | + ] | |
| 372 | + }, | |
| 373 | + "execution_count": 61, | |
| 374 | + "metadata": {}, | |
| 375 | + "output_type": "execute_result" | |
| 376 | + } | |
| 377 | + ], | |
| 378 | + "source": [ | |
| 379 | + "any([0, 0, 0, 0, 0, 1])" | |
| 380 | + ] | |
| 381 | + }, | |
| 382 | + { | |
| 383 | + "cell_type": "code", | |
| 384 | + "execution_count": 65, | |
| 385 | + "id": "fe4d4119", | |
| 386 | + "metadata": {}, | |
| 387 | + "outputs": [ | |
| 388 | + { | |
| 389 | + "data": { | |
| 390 | + "text/plain": [ | |
| 391 | + "'a'" | |
| 392 | + ] | |
| 393 | + }, | |
| 394 | + "execution_count": 65, | |
| 395 | + "metadata": {}, | |
| 396 | + "output_type": "execute_result" | |
| 397 | + } | |
| 398 | + ], | |
| 399 | + "source": [ | |
| 400 | + "chr(97)" | |
| 401 | + ] | |
| 402 | + }, | |
| 403 | + { | |
| 404 | + "cell_type": "code", | |
| 405 | + "execution_count": 66, | |
| 406 | + "id": "8238d660", | |
| 407 | + "metadata": {}, | |
| 408 | + "outputs": [ | |
| 409 | + { | |
| 410 | + "data": { | |
| 411 | + "text/plain": [ | |
| 412 | + "97" | |
| 413 | + ] | |
| 414 | + }, | |
| 415 | + "execution_count": 66, | |
| 416 | + "metadata": {}, | |
| 417 | + "output_type": "execute_result" | |
| 418 | + } | |
| 419 | + ], | |
| 420 | + "source": [ | |
| 421 | + "ord('a')" | |
| 422 | + ] | |
| 423 | + }, | |
| 424 | + { | |
| 425 | + "cell_type": "code", | |
| 426 | + "execution_count": 76, | |
| 427 | + "id": "2c356f2a", | |
| 428 | + "metadata": {}, | |
| 429 | + "outputs": [ | |
| 430 | + { | |
| 431 | + "data": { | |
| 432 | + "text/plain": [ | |
| 433 | + "1" | |
| 434 | + ] | |
| 435 | + }, | |
| 436 | + "execution_count": 76, | |
| 437 | + "metadata": {}, | |
| 438 | + "output_type": "execute_result" | |
| 439 | + } | |
| 440 | + ], | |
| 441 | + "source": [ | |
| 442 | + "a = 1\n", | |
| 443 | + "a.real" | |
| 444 | + ] | |
| 445 | + }, | |
| 446 | + { | |
| 447 | + "cell_type": "code", | |
| 448 | + "execution_count": 78, | |
| 449 | + "id": "5bda70d3", | |
| 450 | + "metadata": {}, | |
| 451 | + "outputs": [ | |
| 452 | + { | |
| 453 | + "data": { | |
| 454 | + "text/plain": [ | |
| 455 | + "(2, 1)" | |
| 456 | + ] | |
| 457 | + }, | |
| 458 | + "execution_count": 78, | |
| 459 | + "metadata": {}, | |
| 460 | + "output_type": "execute_result" | |
| 461 | + } | |
| 462 | + ], | |
| 463 | + "source": [ | |
| 464 | + "divmod(7, 3)" | |
| 465 | + ] | |
| 466 | + }, | |
| 467 | + { | |
| 468 | + "cell_type": "code", | |
| 469 | + "execution_count": 84, | |
| 470 | + "id": "c389c244", | |
| 471 | + "metadata": {}, | |
| 472 | + "outputs": [ | |
| 473 | + { | |
| 474 | + "data": { | |
| 475 | + "text/plain": [ | |
| 476 | + "6" | |
| 477 | + ] | |
| 478 | + }, | |
| 479 | + "execution_count": 84, | |
| 480 | + "metadata": {}, | |
| 481 | + "output_type": "execute_result" | |
| 482 | + } | |
| 483 | + ], | |
| 484 | + "source": [ | |
| 485 | + "sum = lambda a,b: a+b # anonymous function\n", | |
| 486 | + "sum(2, 4)" | |
| 487 | + ] | |
| 488 | + }, | |
| 489 | + { | |
| 490 | + "cell_type": "code", | |
| 491 | + "execution_count": null, | |
| 492 | + "id": "a1776047", | |
| 493 | + "metadata": {}, | |
| 494 | + "outputs": [], | |
| 495 | + "source": [] | |
| 496 | + }, | |
| 497 | + { | |
| 498 | + "cell_type": "code", | |
| 499 | + "execution_count": null, | |
| 500 | + "id": "b2c9465e", | |
| 501 | + "metadata": {}, | |
| 502 | + "outputs": [], | |
| 503 | + "source": [] | |
| 504 | + }, | |
| 505 | + { | |
| 506 | + "cell_type": "code", | |
| 507 | + "execution_count": null, | |
| 508 | + "id": "7c2639a8", | |
| 509 | + "metadata": {}, | |
| 510 | + "outputs": [], | |
| 511 | + "source": [] | |
| 512 | + }, | |
| 513 | + { | |
| 514 | + "cell_type": "code", | |
| 515 | + "execution_count": null, | |
| 516 | + "id": "bed9db87", | |
| 517 | + "metadata": {}, | |
| 518 | + "outputs": [], | |
| 519 | + "source": [] | |
| 520 | + }, | |
| 521 | + { | |
| 522 | + "cell_type": "code", | |
| 523 | + "execution_count": null, | |
| 524 | + "id": "66ea3e0c", | |
| 525 | + "metadata": {}, | |
| 526 | + "outputs": [], | |
| 527 | + "source": [] | |
| 528 | + }, | |
| 529 | + { | |
| 530 | + "cell_type": "code", | |
| 531 | + "execution_count": null, | |
| 532 | + "id": "91cd5457", | |
| 533 | + "metadata": {}, | |
| 534 | + "outputs": [], | |
| 535 | + "source": [] | |
| 536 | + }, | |
| 537 | + { | |
| 538 | + "cell_type": "code", | |
| 539 | + "execution_count": null, | |
| 540 | + "id": "eeff7c14", | |
| 541 | + "metadata": {}, | |
| 542 | + "outputs": [], | |
| 543 | + "source": [] | |
| 544 | + }, | |
| 545 | + { | |
| 546 | + "cell_type": "code", | |
| 547 | + "execution_count": null, | |
| 548 | + "id": "d3c5d49a", | |
| 549 | + "metadata": {}, | |
| 550 | + "outputs": [], | |
| 551 | + "source": [] | |
| 552 | + }, | |
| 553 | + { | |
| 554 | + "cell_type": "code", | |
| 555 | + "execution_count": null, | |
| 556 | + "id": "c65732e9", | |
| 557 | + "metadata": {}, | |
| 558 | + "outputs": [], | |
| 559 | + "source": [] | |
| 560 | + }, | |
| 561 | + { | |
| 562 | + "cell_type": "code", | |
| 563 | + "execution_count": null, | |
| 564 | + "id": "9f4f90c7", | |
| 565 | + "metadata": {}, | |
| 566 | + "outputs": [], | |
| 567 | + "source": [] | |
| 568 | + } | |
| 569 | + ], | |
| 570 | + "metadata": { | |
| 571 | + "kernelspec": { | |
| 572 | + "display_name": "Python 3 (ipykernel)", | |
| 573 | + "language": "python", | |
| 574 | + "name": "python3" | |
| 575 | + }, | |
| 576 | + "language_info": { | |
| 577 | + "codemirror_mode": { | |
| 578 | + "name": "ipython", | |
| 579 | + "version": 3 | |
| 580 | + }, | |
| 581 | + "file_extension": ".py", | |
| 582 | + "mimetype": "text/x-python", | |
| 583 | + "name": "python", | |
| 584 | + "nbconvert_exporter": "python", | |
| 585 | + "pygments_lexer": "ipython3", | |
| 586 | + "version": "3.10.4" | |
| 587 | + } | |
| 588 | + }, | |
| 589 | + "nbformat": 4, | |
| 590 | + "nbformat_minor": 5 | |
| 591 | +} |
+++ 20220418/.ipynb_checkpoints/DataFramee-checkpoint.ipynb
... | ... | @@ -0,0 +1,502 @@ |
| 1 | +{ | |
| 2 | + "cells": [ | |
| 3 | + { | |
| 4 | + "cell_type": "code", | |
| 5 | + "execution_count": 1, | |
| 6 | + "id": "2488d73e", | |
| 7 | + "metadata": {}, | |
| 8 | + "outputs": [], | |
| 9 | + "source": [ | |
| 10 | + "import pandas as pd" | |
| 11 | + ] | |
| 12 | + }, | |
| 13 | + { | |
| 14 | + "cell_type": "code", | |
| 15 | + "execution_count": 2, | |
| 16 | + "id": "5923b769", | |
| 17 | + "metadata": {}, | |
| 18 | + "outputs": [ | |
| 19 | + { | |
| 20 | + "data": { | |
| 21 | + "text/plain": [ | |
| 22 | + "{'year': [2018, 2019, 2020], 'sales': [350, 480, 1099]}" | |
| 23 | + ] | |
| 24 | + }, | |
| 25 | + "execution_count": 2, | |
| 26 | + "metadata": {}, | |
| 27 | + "output_type": "execute_result" | |
| 28 | + } | |
| 29 | + ], | |
| 30 | + "source": [ | |
| 31 | + "data_dic = {\n", | |
| 32 | + " 'year' : [2018, 2019, 2020],\n", | |
| 33 | + " 'sales' : [350, 480, 1099]\n", | |
| 34 | + "}\n", | |
| 35 | + "data_dic" | |
| 36 | + ] | |
| 37 | + }, | |
| 38 | + { | |
| 39 | + "cell_type": "code", | |
| 40 | + "execution_count": 4, | |
| 41 | + "id": "1919e60b", | |
| 42 | + "metadata": {}, | |
| 43 | + "outputs": [ | |
| 44 | + { | |
| 45 | + "data": { | |
| 46 | + "text/plain": [ | |
| 47 | + "year [2018, 2019, 2020]\n", | |
| 48 | + "sales [350, 480, 1099]\n", | |
| 49 | + "dtype: object" | |
| 50 | + ] | |
| 51 | + }, | |
| 52 | + "execution_count": 4, | |
| 53 | + "metadata": {}, | |
| 54 | + "output_type": "execute_result" | |
| 55 | + } | |
| 56 | + ], | |
| 57 | + "source": [ | |
| 58 | + "ds = pd.Series(data_dic)\n", | |
| 59 | + "ds" | |
| 60 | + ] | |
| 61 | + }, | |
| 62 | + { | |
| 63 | + "cell_type": "code", | |
| 64 | + "execution_count": 6, | |
| 65 | + "id": "dd46a777", | |
| 66 | + "metadata": {}, | |
| 67 | + "outputs": [ | |
| 68 | + { | |
| 69 | + "data": { | |
| 70 | + "text/html": [ | |
| 71 | + "<div>\n", | |
| 72 | + "<style scoped>\n", | |
| 73 | + " .dataframe tbody tr th:only-of-type {\n", | |
| 74 | + " vertical-align: middle;\n", | |
| 75 | + " }\n", | |
| 76 | + "\n", | |
| 77 | + " .dataframe tbody tr th {\n", | |
| 78 | + " vertical-align: top;\n", | |
| 79 | + " }\n", | |
| 80 | + "\n", | |
| 81 | + " .dataframe thead th {\n", | |
| 82 | + " text-align: right;\n", | |
| 83 | + " }\n", | |
| 84 | + "</style>\n", | |
| 85 | + "<table border=\"1\" class=\"dataframe\">\n", | |
| 86 | + " <thead>\n", | |
| 87 | + " <tr style=\"text-align: right;\">\n", | |
| 88 | + " <th></th>\n", | |
| 89 | + " <th>year</th>\n", | |
| 90 | + " <th>sales</th>\n", | |
| 91 | + " </tr>\n", | |
| 92 | + " </thead>\n", | |
| 93 | + " <tbody>\n", | |
| 94 | + " <tr>\n", | |
| 95 | + " <th>0</th>\n", | |
| 96 | + " <td>2018</td>\n", | |
| 97 | + " <td>350</td>\n", | |
| 98 | + " </tr>\n", | |
| 99 | + " <tr>\n", | |
| 100 | + " <th>1</th>\n", | |
| 101 | + " <td>2019</td>\n", | |
| 102 | + " <td>480</td>\n", | |
| 103 | + " </tr>\n", | |
| 104 | + " <tr>\n", | |
| 105 | + " <th>2</th>\n", | |
| 106 | + " <td>2020</td>\n", | |
| 107 | + " <td>1099</td>\n", | |
| 108 | + " </tr>\n", | |
| 109 | + " </tbody>\n", | |
| 110 | + "</table>\n", | |
| 111 | + "</div>" | |
| 112 | + ], | |
| 113 | + "text/plain": [ | |
| 114 | + " year sales\n", | |
| 115 | + "0 2018 350\n", | |
| 116 | + "1 2019 480\n", | |
| 117 | + "2 2020 1099" | |
| 118 | + ] | |
| 119 | + }, | |
| 120 | + "execution_count": 6, | |
| 121 | + "metadata": {}, | |
| 122 | + "output_type": "execute_result" | |
| 123 | + } | |
| 124 | + ], | |
| 125 | + "source": [ | |
| 126 | + "df1 = pd.DataFrame(data_dic)\n", | |
| 127 | + "df1" | |
| 128 | + ] | |
| 129 | + }, | |
| 130 | + { | |
| 131 | + "cell_type": "code", | |
| 132 | + "execution_count": 7, | |
| 133 | + "id": "14e8c8e5", | |
| 134 | + "metadata": {}, | |
| 135 | + "outputs": [ | |
| 136 | + { | |
| 137 | + "data": { | |
| 138 | + "text/html": [ | |
| 139 | + "<div>\n", | |
| 140 | + "<style scoped>\n", | |
| 141 | + " .dataframe tbody tr th:only-of-type {\n", | |
| 142 | + " vertical-align: middle;\n", | |
| 143 | + " }\n", | |
| 144 | + "\n", | |
| 145 | + " .dataframe tbody tr th {\n", | |
| 146 | + " vertical-align: top;\n", | |
| 147 | + " }\n", | |
| 148 | + "\n", | |
| 149 | + " .dataframe thead th {\n", | |
| 150 | + " text-align: right;\n", | |
| 151 | + " }\n", | |
| 152 | + "</style>\n", | |
| 153 | + "<table border=\"1\" class=\"dataframe\">\n", | |
| 154 | + " <thead>\n", | |
| 155 | + " <tr style=\"text-align: right;\">\n", | |
| 156 | + " <th></th>\n", | |
| 157 | + " <th>sales</th>\n", | |
| 158 | + " </tr>\n", | |
| 159 | + " <tr>\n", | |
| 160 | + " <th>year</th>\n", | |
| 161 | + " <th></th>\n", | |
| 162 | + " </tr>\n", | |
| 163 | + " </thead>\n", | |
| 164 | + " <tbody>\n", | |
| 165 | + " <tr>\n", | |
| 166 | + " <th>2018</th>\n", | |
| 167 | + " <td>350</td>\n", | |
| 168 | + " </tr>\n", | |
| 169 | + " <tr>\n", | |
| 170 | + " <th>2019</th>\n", | |
| 171 | + " <td>480</td>\n", | |
| 172 | + " </tr>\n", | |
| 173 | + " <tr>\n", | |
| 174 | + " <th>2020</th>\n", | |
| 175 | + " <td>1099</td>\n", | |
| 176 | + " </tr>\n", | |
| 177 | + " </tbody>\n", | |
| 178 | + "</table>\n", | |
| 179 | + "</div>" | |
| 180 | + ], | |
| 181 | + "text/plain": [ | |
| 182 | + " sales\n", | |
| 183 | + "year \n", | |
| 184 | + "2018 350\n", | |
| 185 | + "2019 480\n", | |
| 186 | + "2020 1099" | |
| 187 | + ] | |
| 188 | + }, | |
| 189 | + "execution_count": 7, | |
| 190 | + "metadata": {}, | |
| 191 | + "output_type": "execute_result" | |
| 192 | + } | |
| 193 | + ], | |
| 194 | + "source": [ | |
| 195 | + "df1.set_index('year')" | |
| 196 | + ] | |
| 197 | + }, | |
| 198 | + { | |
| 199 | + "cell_type": "code", | |
| 200 | + "execution_count": 10, | |
| 201 | + "id": "6f0a64c7", | |
| 202 | + "metadata": {}, | |
| 203 | + "outputs": [ | |
| 204 | + { | |
| 205 | + "data": { | |
| 206 | + "text/html": [ | |
| 207 | + "<div>\n", | |
| 208 | + "<style scoped>\n", | |
| 209 | + " .dataframe tbody tr th:only-of-type {\n", | |
| 210 | + " vertical-align: middle;\n", | |
| 211 | + " }\n", | |
| 212 | + "\n", | |
| 213 | + " .dataframe tbody tr th {\n", | |
| 214 | + " vertical-align: top;\n", | |
| 215 | + " }\n", | |
| 216 | + "\n", | |
| 217 | + " .dataframe thead th {\n", | |
| 218 | + " text-align: right;\n", | |
| 219 | + " }\n", | |
| 220 | + "</style>\n", | |
| 221 | + "<table border=\"1\" class=\"dataframe\">\n", | |
| 222 | + " <thead>\n", | |
| 223 | + " <tr style=\"text-align: right;\">\n", | |
| 224 | + " <th></th>\n", | |
| 225 | + " <th>1반</th>\n", | |
| 226 | + " <th>2반</th>\n", | |
| 227 | + " <th>3반</th>\n", | |
| 228 | + " </tr>\n", | |
| 229 | + " </thead>\n", | |
| 230 | + " <tbody>\n", | |
| 231 | + " <tr>\n", | |
| 232 | + " <th>중간고사</th>\n", | |
| 233 | + " <td>89.2</td>\n", | |
| 234 | + " <td>92.5</td>\n", | |
| 235 | + " <td>90.8</td>\n", | |
| 236 | + " </tr>\n", | |
| 237 | + " <tr>\n", | |
| 238 | + " <th>기말고사</th>\n", | |
| 239 | + " <td>92.8</td>\n", | |
| 240 | + " <td>89.9</td>\n", | |
| 241 | + " <td>95.2</td>\n", | |
| 242 | + " </tr>\n", | |
| 243 | + " </tbody>\n", | |
| 244 | + "</table>\n", | |
| 245 | + "</div>" | |
| 246 | + ], | |
| 247 | + "text/plain": [ | |
| 248 | + " 1반 2반 3반\n", | |
| 249 | + "중간고사 89.2 92.5 90.8\n", | |
| 250 | + "기말고사 92.8 89.9 95.2" | |
| 251 | + ] | |
| 252 | + }, | |
| 253 | + "execution_count": 10, | |
| 254 | + "metadata": {}, | |
| 255 | + "output_type": "execute_result" | |
| 256 | + } | |
| 257 | + ], | |
| 258 | + "source": [ | |
| 259 | + "data2 = ['1반', '2반', '3반']\n", | |
| 260 | + "df2 = pd.DataFrame([[89.2, 92.5, 90.8], [92.8, 89.9, 95.2]], index = ['중간고사', '기말고사'], columns = data2[0:3])\n", | |
| 261 | + "df2" | |
| 262 | + ] | |
| 263 | + }, | |
| 264 | + { | |
| 265 | + "cell_type": "code", | |
| 266 | + "execution_count": 11, | |
| 267 | + "id": "a1ea90d8", | |
| 268 | + "metadata": {}, | |
| 269 | + "outputs": [], | |
| 270 | + "source": [ | |
| 271 | + "df1 = pd.DataFrame([[89.2, 92.5, 90.8], [92.8, 89.9, 95.2]])" | |
| 272 | + ] | |
| 273 | + }, | |
| 274 | + { | |
| 275 | + "cell_type": "code", | |
| 276 | + "execution_count": 12, | |
| 277 | + "id": "db0b10ea", | |
| 278 | + "metadata": {}, | |
| 279 | + "outputs": [ | |
| 280 | + { | |
| 281 | + "data": { | |
| 282 | + "text/html": [ | |
| 283 | + "<div>\n", | |
| 284 | + "<style scoped>\n", | |
| 285 | + " .dataframe tbody tr th:only-of-type {\n", | |
| 286 | + " vertical-align: middle;\n", | |
| 287 | + " }\n", | |
| 288 | + "\n", | |
| 289 | + " .dataframe tbody tr th {\n", | |
| 290 | + " vertical-align: top;\n", | |
| 291 | + " }\n", | |
| 292 | + "\n", | |
| 293 | + " .dataframe thead th {\n", | |
| 294 | + " text-align: right;\n", | |
| 295 | + " }\n", | |
| 296 | + "</style>\n", | |
| 297 | + "<table border=\"1\" class=\"dataframe\">\n", | |
| 298 | + " <thead>\n", | |
| 299 | + " <tr style=\"text-align: right;\">\n", | |
| 300 | + " <th></th>\n", | |
| 301 | + " <th>0</th>\n", | |
| 302 | + " <th>1</th>\n", | |
| 303 | + " <th>2</th>\n", | |
| 304 | + " </tr>\n", | |
| 305 | + " </thead>\n", | |
| 306 | + " <tbody>\n", | |
| 307 | + " <tr>\n", | |
| 308 | + " <th>0</th>\n", | |
| 309 | + " <td>89.2</td>\n", | |
| 310 | + " <td>92.5</td>\n", | |
| 311 | + " <td>90.8</td>\n", | |
| 312 | + " </tr>\n", | |
| 313 | + " <tr>\n", | |
| 314 | + " <th>1</th>\n", | |
| 315 | + " <td>92.8</td>\n", | |
| 316 | + " <td>89.9</td>\n", | |
| 317 | + " <td>95.2</td>\n", | |
| 318 | + " </tr>\n", | |
| 319 | + " </tbody>\n", | |
| 320 | + "</table>\n", | |
| 321 | + "</div>" | |
| 322 | + ], | |
| 323 | + "text/plain": [ | |
| 324 | + " 0 1 2\n", | |
| 325 | + "0 89.2 92.5 90.8\n", | |
| 326 | + "1 92.8 89.9 95.2" | |
| 327 | + ] | |
| 328 | + }, | |
| 329 | + "execution_count": 12, | |
| 330 | + "metadata": {}, | |
| 331 | + "output_type": "execute_result" | |
| 332 | + } | |
| 333 | + ], | |
| 334 | + "source": [ | |
| 335 | + "df1" | |
| 336 | + ] | |
| 337 | + }, | |
| 338 | + { | |
| 339 | + "cell_type": "code", | |
| 340 | + "execution_count": 13, | |
| 341 | + "id": "0deb3702", | |
| 342 | + "metadata": {}, | |
| 343 | + "outputs": [], | |
| 344 | + "source": [ | |
| 345 | + "df1.columns = {1, 2, 3}" | |
| 346 | + ] | |
| 347 | + }, | |
| 348 | + { | |
| 349 | + "cell_type": "code", | |
| 350 | + "execution_count": 15, | |
| 351 | + "id": "069b808e", | |
| 352 | + "metadata": {}, | |
| 353 | + "outputs": [], | |
| 354 | + "source": [ | |
| 355 | + "df1.index = {'middle', 'final'}" | |
| 356 | + ] | |
| 357 | + }, | |
| 358 | + { | |
| 359 | + "cell_type": "code", | |
| 360 | + "execution_count": 16, | |
| 361 | + "id": "9ee94d2c", | |
| 362 | + "metadata": {}, | |
| 363 | + "outputs": [ | |
| 364 | + { | |
| 365 | + "data": { | |
| 366 | + "text/html": [ | |
| 367 | + "<div>\n", | |
| 368 | + "<style scoped>\n", | |
| 369 | + " .dataframe tbody tr th:only-of-type {\n", | |
| 370 | + " vertical-align: middle;\n", | |
| 371 | + " }\n", | |
| 372 | + "\n", | |
| 373 | + " .dataframe tbody tr th {\n", | |
| 374 | + " vertical-align: top;\n", | |
| 375 | + " }\n", | |
| 376 | + "\n", | |
| 377 | + " .dataframe thead th {\n", | |
| 378 | + " text-align: right;\n", | |
| 379 | + " }\n", | |
| 380 | + "</style>\n", | |
| 381 | + "<table border=\"1\" class=\"dataframe\">\n", | |
| 382 | + " <thead>\n", | |
| 383 | + " <tr style=\"text-align: right;\">\n", | |
| 384 | + " <th></th>\n", | |
| 385 | + " <th>1</th>\n", | |
| 386 | + " <th>2</th>\n", | |
| 387 | + " <th>3</th>\n", | |
| 388 | + " </tr>\n", | |
| 389 | + " </thead>\n", | |
| 390 | + " <tbody>\n", | |
| 391 | + " <tr>\n", | |
| 392 | + " <th>middle</th>\n", | |
| 393 | + " <td>89.2</td>\n", | |
| 394 | + " <td>92.5</td>\n", | |
| 395 | + " <td>90.8</td>\n", | |
| 396 | + " </tr>\n", | |
| 397 | + " <tr>\n", | |
| 398 | + " <th>final</th>\n", | |
| 399 | + " <td>92.8</td>\n", | |
| 400 | + " <td>89.9</td>\n", | |
| 401 | + " <td>95.2</td>\n", | |
| 402 | + " </tr>\n", | |
| 403 | + " </tbody>\n", | |
| 404 | + "</table>\n", | |
| 405 | + "</div>" | |
| 406 | + ], | |
| 407 | + "text/plain": [ | |
| 408 | + " 1 2 3\n", | |
| 409 | + "middle 89.2 92.5 90.8\n", | |
| 410 | + "final 92.8 89.9 95.2" | |
| 411 | + ] | |
| 412 | + }, | |
| 413 | + "execution_count": 16, | |
| 414 | + "metadata": {}, | |
| 415 | + "output_type": "execute_result" | |
| 416 | + } | |
| 417 | + ], | |
| 418 | + "source": [ | |
| 419 | + "df1" | |
| 420 | + ] | |
| 421 | + }, | |
| 422 | + { | |
| 423 | + "cell_type": "code", | |
| 424 | + "execution_count": 20, | |
| 425 | + "id": "8cdb7b5f", | |
| 426 | + "metadata": {}, | |
| 427 | + "outputs": [], | |
| 428 | + "source": [ | |
| 429 | + "df1.to_csv('C:/Users/pc/dev/20220418/score.csv')" | |
| 430 | + ] | |
| 431 | + }, | |
| 432 | + { | |
| 433 | + "cell_type": "code", | |
| 434 | + "execution_count": 21, | |
| 435 | + "id": "d7b41ef1", | |
| 436 | + "metadata": {}, | |
| 437 | + "outputs": [], | |
| 438 | + "source": [ | |
| 439 | + "df1.to_csv('C:/Users/pc/dev/20220418/score2.csv', header='False')" | |
| 440 | + ] | |
| 441 | + }, | |
| 442 | + { | |
| 443 | + "cell_type": "code", | |
| 444 | + "execution_count": 22, | |
| 445 | + "id": "971fd233", | |
| 446 | + "metadata": {}, | |
| 447 | + "outputs": [], | |
| 448 | + "source": [ | |
| 449 | + "df1.to_csv('C:/Users/pc/dev/20220418/score3.csv', encoding='utf-8')" | |
| 450 | + ] | |
| 451 | + }, | |
| 452 | + { | |
| 453 | + "cell_type": "code", | |
| 454 | + "execution_count": 23, | |
| 455 | + "id": "a3539477", | |
| 456 | + "metadata": {}, | |
| 457 | + "outputs": [], | |
| 458 | + "source": [ | |
| 459 | + "df1.to_csv('C:/Users/pc/dev/20220418/score4.csv', encoding='euc-kr')" | |
| 460 | + ] | |
| 461 | + }, | |
| 462 | + { | |
| 463 | + "cell_type": "code", | |
| 464 | + "execution_count": 24, | |
| 465 | + "id": "66613fcc", | |
| 466 | + "metadata": {}, | |
| 467 | + "outputs": [], | |
| 468 | + "source": [ | |
| 469 | + "df1.to_csv('C:/Users/pc/dev/20220418/score5.csv', encoding='ms949')" | |
| 470 | + ] | |
| 471 | + }, | |
| 472 | + { | |
| 473 | + "cell_type": "code", | |
| 474 | + "execution_count": null, | |
| 475 | + "id": "6c64e3d3", | |
| 476 | + "metadata": {}, | |
| 477 | + "outputs": [], | |
| 478 | + "source": [] | |
| 479 | + } | |
| 480 | + ], | |
| 481 | + "metadata": { | |
| 482 | + "kernelspec": { | |
| 483 | + "display_name": "Python 3 (ipykernel)", | |
| 484 | + "language": "python", | |
| 485 | + "name": "python3" | |
| 486 | + }, | |
| 487 | + "language_info": { | |
| 488 | + "codemirror_mode": { | |
| 489 | + "name": "ipython", | |
| 490 | + "version": 3 | |
| 491 | + }, | |
| 492 | + "file_extension": ".py", | |
| 493 | + "mimetype": "text/x-python", | |
| 494 | + "name": "python", | |
| 495 | + "nbconvert_exporter": "python", | |
| 496 | + "pygments_lexer": "ipython3", | |
| 497 | + "version": "3.9.7" | |
| 498 | + } | |
| 499 | + }, | |
| 500 | + "nbformat": 4, | |
| 501 | + "nbformat_minor": 5 | |
| 502 | +} |
+++ 20220418/.ipynb_checkpoints/Matplotlib-checkpoint.ipynb
... | ... | @@ -0,0 +1,6 @@ |
| 1 | +{ | |
| 2 | + "cells": [], | |
| 3 | + "metadata": {}, | |
| 4 | + "nbformat": 4, | |
| 5 | + "nbformat_minor": 5 | |
| 6 | +} |
+++ 20220418/.ipynb_checkpoints/numpy-checkpoint.ipynb
... | ... | @@ -0,0 +1,262 @@ |
| 1 | +{ | |
| 2 | + "cells": [ | |
| 3 | + { | |
| 4 | + "cell_type": "code", | |
| 5 | + "execution_count": 5, | |
| 6 | + "id": "4a18b98a", | |
| 7 | + "metadata": {}, | |
| 8 | + "outputs": [], | |
| 9 | + "source": [ | |
| 10 | + "import numpy as np" | |
| 11 | + ] | |
| 12 | + }, | |
| 13 | + { | |
| 14 | + "cell_type": "code", | |
| 15 | + "execution_count": 11, | |
| 16 | + "id": "0c3e1e30", | |
| 17 | + "metadata": {}, | |
| 18 | + "outputs": [ | |
| 19 | + { | |
| 20 | + "data": { | |
| 21 | + "text/plain": [ | |
| 22 | + "'1.20.3'" | |
| 23 | + ] | |
| 24 | + }, | |
| 25 | + "execution_count": 11, | |
| 26 | + "metadata": {}, | |
| 27 | + "output_type": "execute_result" | |
| 28 | + } | |
| 29 | + ], | |
| 30 | + "source": [ | |
| 31 | + "np.__version__" | |
| 32 | + ] | |
| 33 | + }, | |
| 34 | + { | |
| 35 | + "cell_type": "code", | |
| 36 | + "execution_count": 24, | |
| 37 | + "id": "e3b36b1f", | |
| 38 | + "metadata": {}, | |
| 39 | + "outputs": [ | |
| 40 | + { | |
| 41 | + "data": { | |
| 42 | + "text/plain": [ | |
| 43 | + "numpy.ndarray" | |
| 44 | + ] | |
| 45 | + }, | |
| 46 | + "execution_count": 24, | |
| 47 | + "metadata": {}, | |
| 48 | + "output_type": "execute_result" | |
| 49 | + } | |
| 50 | + ], | |
| 51 | + "source": [ | |
| 52 | + "ar1 = np.array([1, 2, 3, 4, 5])\n", | |
| 53 | + "type(ar1)" | |
| 54 | + ] | |
| 55 | + }, | |
| 56 | + { | |
| 57 | + "cell_type": "code", | |
| 58 | + "execution_count": 28, | |
| 59 | + "id": "d3fd2749", | |
| 60 | + "metadata": {}, | |
| 61 | + "outputs": [ | |
| 62 | + { | |
| 63 | + "data": { | |
| 64 | + "text/plain": [ | |
| 65 | + "list" | |
| 66 | + ] | |
| 67 | + }, | |
| 68 | + "execution_count": 28, | |
| 69 | + "metadata": {}, | |
| 70 | + "output_type": "execute_result" | |
| 71 | + } | |
| 72 | + ], | |
| 73 | + "source": [ | |
| 74 | + "list1 = [[10, 20 ,30], [40, 50, 60]]\n", | |
| 75 | + "type(list1)" | |
| 76 | + ] | |
| 77 | + }, | |
| 78 | + { | |
| 79 | + "cell_type": "code", | |
| 80 | + "execution_count": 29, | |
| 81 | + "id": "f6817fb2", | |
| 82 | + "metadata": {}, | |
| 83 | + "outputs": [ | |
| 84 | + { | |
| 85 | + "data": { | |
| 86 | + "text/plain": [ | |
| 87 | + "array([[10, 20, 30],\n", | |
| 88 | + " [40, 50, 60]])" | |
| 89 | + ] | |
| 90 | + }, | |
| 91 | + "execution_count": 29, | |
| 92 | + "metadata": {}, | |
| 93 | + "output_type": "execute_result" | |
| 94 | + } | |
| 95 | + ], | |
| 96 | + "source": [ | |
| 97 | + "ar2 = np.array(list1)\n", | |
| 98 | + "ar2" | |
| 99 | + ] | |
| 100 | + }, | |
| 101 | + { | |
| 102 | + "cell_type": "code", | |
| 103 | + "execution_count": 30, | |
| 104 | + "id": "734954ee", | |
| 105 | + "metadata": {}, | |
| 106 | + "outputs": [ | |
| 107 | + { | |
| 108 | + "data": { | |
| 109 | + "text/plain": [ | |
| 110 | + "array([1, 3, 5, 7, 9])" | |
| 111 | + ] | |
| 112 | + }, | |
| 113 | + "execution_count": 30, | |
| 114 | + "metadata": {}, | |
| 115 | + "output_type": "execute_result" | |
| 116 | + } | |
| 117 | + ], | |
| 118 | + "source": [ | |
| 119 | + "ar3 = np.arange(1, 11, 2)\n", | |
| 120 | + "ar3" | |
| 121 | + ] | |
| 122 | + }, | |
| 123 | + { | |
| 124 | + "cell_type": "code", | |
| 125 | + "execution_count": 43, | |
| 126 | + "id": "9288e528", | |
| 127 | + "metadata": {}, | |
| 128 | + "outputs": [ | |
| 129 | + { | |
| 130 | + "data": { | |
| 131 | + "text/plain": [ | |
| 132 | + "array([ 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26,\n", | |
| 133 | + " 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50, 52,\n", | |
| 134 | + " 54, 56, 58, 60, 62, 64, 66, 68, 70, 72, 74, 76, 78,\n", | |
| 135 | + " 80, 82, 84, 86, 88, 90, 92, 94, 96, 98, 100])" | |
| 136 | + ] | |
| 137 | + }, | |
| 138 | + "execution_count": 43, | |
| 139 | + "metadata": {}, | |
| 140 | + "output_type": "execute_result" | |
| 141 | + } | |
| 142 | + ], | |
| 143 | + "source": [ | |
| 144 | + "ar3_1 = np.arange(2, 101, 2)\n", | |
| 145 | + "ar3_1" | |
| 146 | + ] | |
| 147 | + }, | |
| 148 | + { | |
| 149 | + "cell_type": "code", | |
| 150 | + "execution_count": 45, | |
| 151 | + "id": "55f5ed5e", | |
| 152 | + "metadata": {}, | |
| 153 | + "outputs": [ | |
| 154 | + { | |
| 155 | + "data": { | |
| 156 | + "text/plain": [ | |
| 157 | + "array([[1, 2],\n", | |
| 158 | + " [3, 4],\n", | |
| 159 | + " [5, 6]])" | |
| 160 | + ] | |
| 161 | + }, | |
| 162 | + "execution_count": 45, | |
| 163 | + "metadata": {}, | |
| 164 | + "output_type": "execute_result" | |
| 165 | + } | |
| 166 | + ], | |
| 167 | + "source": [ | |
| 168 | + "ar4 = np.array([1, 2, 3, 4, 5, 6]).reshape((3, 2))\n", | |
| 169 | + "ar4" | |
| 170 | + ] | |
| 171 | + }, | |
| 172 | + { | |
| 173 | + "cell_type": "code", | |
| 174 | + "execution_count": 32, | |
| 175 | + "id": "e2888e7c", | |
| 176 | + "metadata": {}, | |
| 177 | + "outputs": [ | |
| 178 | + { | |
| 179 | + "data": { | |
| 180 | + "text/plain": [ | |
| 181 | + "array([[0., 0., 0.],\n", | |
| 182 | + " [0., 0., 0.]])" | |
| 183 | + ] | |
| 184 | + }, | |
| 185 | + "execution_count": 32, | |
| 186 | + "metadata": {}, | |
| 187 | + "output_type": "execute_result" | |
| 188 | + } | |
| 189 | + ], | |
| 190 | + "source": [ | |
| 191 | + "ar5 = np.zeros((2, 3))\n", | |
| 192 | + "ar5" | |
| 193 | + ] | |
| 194 | + }, | |
| 195 | + { | |
| 196 | + "cell_type": "code", | |
| 197 | + "execution_count": 46, | |
| 198 | + "id": "833867ef", | |
| 199 | + "metadata": {}, | |
| 200 | + "outputs": [ | |
| 201 | + { | |
| 202 | + "data": { | |
| 203 | + "text/plain": [ | |
| 204 | + "array([[10, 20],\n", | |
| 205 | + " [40, 50]])" | |
| 206 | + ] | |
| 207 | + }, | |
| 208 | + "execution_count": 46, | |
| 209 | + "metadata": {}, | |
| 210 | + "output_type": "execute_result" | |
| 211 | + } | |
| 212 | + ], | |
| 213 | + "source": [ | |
| 214 | + "ar6 = ar2[0:2, 0:2]\n", | |
| 215 | + "ar6" | |
| 216 | + ] | |
| 217 | + }, | |
| 218 | + { | |
| 219 | + "cell_type": "code", | |
| 220 | + "execution_count": 47, | |
| 221 | + "id": "3e9d7308", | |
| 222 | + "metadata": {}, | |
| 223 | + "outputs": [ | |
| 224 | + { | |
| 225 | + "data": { | |
| 226 | + "text/plain": [ | |
| 227 | + "array([10, 20, 30])" | |
| 228 | + ] | |
| 229 | + }, | |
| 230 | + "execution_count": 47, | |
| 231 | + "metadata": {}, | |
| 232 | + "output_type": "execute_result" | |
| 233 | + } | |
| 234 | + ], | |
| 235 | + "source": [ | |
| 236 | + "ar7 = ar2[0, :]\n", | |
| 237 | + "ar7" | |
| 238 | + ] | |
| 239 | + } | |
| 240 | + ], | |
| 241 | + "metadata": { | |
| 242 | + "kernelspec": { | |
| 243 | + "display_name": "Python 3 (ipykernel)", | |
| 244 | + "language": "python", | |
| 245 | + "name": "python3" | |
| 246 | + }, | |
| 247 | + "language_info": { | |
| 248 | + "codemirror_mode": { | |
| 249 | + "name": "ipython", | |
| 250 | + "version": 3 | |
| 251 | + }, | |
| 252 | + "file_extension": ".py", | |
| 253 | + "mimetype": "text/x-python", | |
| 254 | + "name": "python", | |
| 255 | + "nbconvert_exporter": "python", | |
| 256 | + "pygments_lexer": "ipython3", | |
| 257 | + "version": "3.9.7" | |
| 258 | + } | |
| 259 | + }, | |
| 260 | + "nbformat": 4, | |
| 261 | + "nbformat_minor": 5 | |
| 262 | +} |
+++ 20220418/.ipynb_checkpoints/pandas-checkpoint.ipynb
... | ... | @@ -0,0 +1,382 @@ |
| 1 | +{ | |
| 2 | + "cells": [ | |
| 3 | + { | |
| 4 | + "cell_type": "code", | |
| 5 | + "execution_count": 1, | |
| 6 | + "id": "135c4f51", | |
| 7 | + "metadata": {}, | |
| 8 | + "outputs": [], | |
| 9 | + "source": [ | |
| 10 | + "import pandas as pd" | |
| 11 | + ] | |
| 12 | + }, | |
| 13 | + { | |
| 14 | + "cell_type": "code", | |
| 15 | + "execution_count": 2, | |
| 16 | + "id": "e3deb7db", | |
| 17 | + "metadata": {}, | |
| 18 | + "outputs": [ | |
| 19 | + { | |
| 20 | + "data": { | |
| 21 | + "text/plain": [ | |
| 22 | + "'1.3.4'" | |
| 23 | + ] | |
| 24 | + }, | |
| 25 | + "execution_count": 2, | |
| 26 | + "metadata": {}, | |
| 27 | + "output_type": "execute_result" | |
| 28 | + } | |
| 29 | + ], | |
| 30 | + "source": [ | |
| 31 | + "pd.__version__" | |
| 32 | + ] | |
| 33 | + }, | |
| 34 | + { | |
| 35 | + "cell_type": "code", | |
| 36 | + "execution_count": 3, | |
| 37 | + "id": "622a5e4f", | |
| 38 | + "metadata": {}, | |
| 39 | + "outputs": [ | |
| 40 | + { | |
| 41 | + "data": { | |
| 42 | + "text/plain": [ | |
| 43 | + "[10, 20, 30, 40, 50]" | |
| 44 | + ] | |
| 45 | + }, | |
| 46 | + "execution_count": 3, | |
| 47 | + "metadata": {}, | |
| 48 | + "output_type": "execute_result" | |
| 49 | + } | |
| 50 | + ], | |
| 51 | + "source": [ | |
| 52 | + "data1 = [10, 20, 30, 40, 50]\n", | |
| 53 | + "data1" | |
| 54 | + ] | |
| 55 | + }, | |
| 56 | + { | |
| 57 | + "cell_type": "code", | |
| 58 | + "execution_count": 4, | |
| 59 | + "id": "c5c471cd", | |
| 60 | + "metadata": {}, | |
| 61 | + "outputs": [ | |
| 62 | + { | |
| 63 | + "data": { | |
| 64 | + "text/plain": [ | |
| 65 | + "['1반', '2반', '3반', '4반', '5반']" | |
| 66 | + ] | |
| 67 | + }, | |
| 68 | + "execution_count": 4, | |
| 69 | + "metadata": {}, | |
| 70 | + "output_type": "execute_result" | |
| 71 | + } | |
| 72 | + ], | |
| 73 | + "source": [ | |
| 74 | + "data2 = ['1반', '2반', '3반', '4반', '5반']\n", | |
| 75 | + "data2" | |
| 76 | + ] | |
| 77 | + }, | |
| 78 | + { | |
| 79 | + "cell_type": "code", | |
| 80 | + "execution_count": 6, | |
| 81 | + "id": "def4a017", | |
| 82 | + "metadata": {}, | |
| 83 | + "outputs": [ | |
| 84 | + { | |
| 85 | + "data": { | |
| 86 | + "text/plain": [ | |
| 87 | + "0 10\n", | |
| 88 | + "1 20\n", | |
| 89 | + "2 30\n", | |
| 90 | + "3 40\n", | |
| 91 | + "4 50\n", | |
| 92 | + "dtype: int64" | |
| 93 | + ] | |
| 94 | + }, | |
| 95 | + "execution_count": 6, | |
| 96 | + "metadata": {}, | |
| 97 | + "output_type": "execute_result" | |
| 98 | + } | |
| 99 | + ], | |
| 100 | + "source": [ | |
| 101 | + "sr1 = pd.Series(data1)\n", | |
| 102 | + "sr1" | |
| 103 | + ] | |
| 104 | + }, | |
| 105 | + { | |
| 106 | + "cell_type": "code", | |
| 107 | + "execution_count": 8, | |
| 108 | + "id": "e5eae9d2", | |
| 109 | + "metadata": {}, | |
| 110 | + "outputs": [ | |
| 111 | + { | |
| 112 | + "data": { | |
| 113 | + "text/plain": [ | |
| 114 | + "0 1반\n", | |
| 115 | + "1 2반\n", | |
| 116 | + "2 3반\n", | |
| 117 | + "3 4반\n", | |
| 118 | + "4 5반\n", | |
| 119 | + "dtype: object" | |
| 120 | + ] | |
| 121 | + }, | |
| 122 | + "execution_count": 8, | |
| 123 | + "metadata": {}, | |
| 124 | + "output_type": "execute_result" | |
| 125 | + } | |
| 126 | + ], | |
| 127 | + "source": [ | |
| 128 | + "sr2 = pd.Series(data2)\n", | |
| 129 | + "sr2" | |
| 130 | + ] | |
| 131 | + }, | |
| 132 | + { | |
| 133 | + "cell_type": "code", | |
| 134 | + "execution_count": 9, | |
| 135 | + "id": "b0a455a5", | |
| 136 | + "metadata": {}, | |
| 137 | + "outputs": [ | |
| 138 | + { | |
| 139 | + "data": { | |
| 140 | + "text/plain": [ | |
| 141 | + "0 101\n", | |
| 142 | + "1 102\n", | |
| 143 | + "2 103\n", | |
| 144 | + "3 104\n", | |
| 145 | + "4 105\n", | |
| 146 | + "dtype: int64" | |
| 147 | + ] | |
| 148 | + }, | |
| 149 | + "execution_count": 9, | |
| 150 | + "metadata": {}, | |
| 151 | + "output_type": "execute_result" | |
| 152 | + } | |
| 153 | + ], | |
| 154 | + "source": [ | |
| 155 | + "sr3 = pd.Series([101, 102, 103, 104, 105])\n", | |
| 156 | + "sr3" | |
| 157 | + ] | |
| 158 | + }, | |
| 159 | + { | |
| 160 | + "cell_type": "code", | |
| 161 | + "execution_count": 10, | |
| 162 | + "id": "dd083b80", | |
| 163 | + "metadata": {}, | |
| 164 | + "outputs": [ | |
| 165 | + { | |
| 166 | + "data": { | |
| 167 | + "text/plain": [ | |
| 168 | + "1000 10\n", | |
| 169 | + "1001 20\n", | |
| 170 | + "1002 30\n", | |
| 171 | + "1003 40\n", | |
| 172 | + "1004 50\n", | |
| 173 | + "dtype: int64" | |
| 174 | + ] | |
| 175 | + }, | |
| 176 | + "execution_count": 10, | |
| 177 | + "metadata": {}, | |
| 178 | + "output_type": "execute_result" | |
| 179 | + } | |
| 180 | + ], | |
| 181 | + "source": [ | |
| 182 | + "sr4 = pd.Series(data1, index=[1000, 1001, 1002, 1003, 1004])\n", | |
| 183 | + "sr4" | |
| 184 | + ] | |
| 185 | + }, | |
| 186 | + { | |
| 187 | + "cell_type": "code", | |
| 188 | + "execution_count": 11, | |
| 189 | + "id": "e8d864d7", | |
| 190 | + "metadata": {}, | |
| 191 | + "outputs": [ | |
| 192 | + { | |
| 193 | + "data": { | |
| 194 | + "text/plain": [ | |
| 195 | + "0 월\n", | |
| 196 | + "1 화\n", | |
| 197 | + "2 수\n", | |
| 198 | + "3 목\n", | |
| 199 | + "4 금\n", | |
| 200 | + "dtype: object" | |
| 201 | + ] | |
| 202 | + }, | |
| 203 | + "execution_count": 11, | |
| 204 | + "metadata": {}, | |
| 205 | + "output_type": "execute_result" | |
| 206 | + } | |
| 207 | + ], | |
| 208 | + "source": [ | |
| 209 | + "sr5 = pd.Series(['월', '화', '수', '목', '금'])\n", | |
| 210 | + "sr5" | |
| 211 | + ] | |
| 212 | + }, | |
| 213 | + { | |
| 214 | + "cell_type": "code", | |
| 215 | + "execution_count": 12, | |
| 216 | + "id": "cd3aead2", | |
| 217 | + "metadata": {}, | |
| 218 | + "outputs": [ | |
| 219 | + { | |
| 220 | + "data": { | |
| 221 | + "text/plain": [ | |
| 222 | + "1반 10\n", | |
| 223 | + "2반 20\n", | |
| 224 | + "3반 30\n", | |
| 225 | + "4반 40\n", | |
| 226 | + "5반 50\n", | |
| 227 | + "dtype: int64" | |
| 228 | + ] | |
| 229 | + }, | |
| 230 | + "execution_count": 12, | |
| 231 | + "metadata": {}, | |
| 232 | + "output_type": "execute_result" | |
| 233 | + } | |
| 234 | + ], | |
| 235 | + "source": [ | |
| 236 | + "sr6 = pd.Series(data1, index = data2)\n", | |
| 237 | + "sr6" | |
| 238 | + ] | |
| 239 | + }, | |
| 240 | + { | |
| 241 | + "cell_type": "code", | |
| 242 | + "execution_count": null, | |
| 243 | + "id": "2788f969", | |
| 244 | + "metadata": {}, | |
| 245 | + "outputs": [], | |
| 246 | + "source": [] | |
| 247 | + }, | |
| 248 | + { | |
| 249 | + "cell_type": "code", | |
| 250 | + "execution_count": null, | |
| 251 | + "id": "a34ac7f5", | |
| 252 | + "metadata": {}, | |
| 253 | + "outputs": [], | |
| 254 | + "source": [] | |
| 255 | + }, | |
| 256 | + { | |
| 257 | + "cell_type": "code", | |
| 258 | + "execution_count": null, | |
| 259 | + "id": "00e7827e", | |
| 260 | + "metadata": {}, | |
| 261 | + "outputs": [], | |
| 262 | + "source": [] | |
| 263 | + }, | |
| 264 | + { | |
| 265 | + "cell_type": "code", | |
| 266 | + "execution_count": null, | |
| 267 | + "id": "96f6d46f", | |
| 268 | + "metadata": {}, | |
| 269 | + "outputs": [], | |
| 270 | + "source": [] | |
| 271 | + }, | |
| 272 | + { | |
| 273 | + "cell_type": "code", | |
| 274 | + "execution_count": null, | |
| 275 | + "id": "522bccf9", | |
| 276 | + "metadata": {}, | |
| 277 | + "outputs": [], | |
| 278 | + "source": [] | |
| 279 | + }, | |
| 280 | + { | |
| 281 | + "cell_type": "code", | |
| 282 | + "execution_count": 14, | |
| 283 | + "id": "1f41dc16", | |
| 284 | + "metadata": {}, | |
| 285 | + "outputs": [ | |
| 286 | + { | |
| 287 | + "data": { | |
| 288 | + "text/plain": [ | |
| 289 | + "0 80\n", | |
| 290 | + "1 90\n", | |
| 291 | + "2 60\n", | |
| 292 | + "dtype: int64" | |
| 293 | + ] | |
| 294 | + }, | |
| 295 | + "execution_count": 14, | |
| 296 | + "metadata": {}, | |
| 297 | + "output_type": "execute_result" | |
| 298 | + } | |
| 299 | + ], | |
| 300 | + "source": [ | |
| 301 | + "pd.Series([80, 90, 60])" | |
| 302 | + ] | |
| 303 | + }, | |
| 304 | + { | |
| 305 | + "cell_type": "code", | |
| 306 | + "execution_count": 15, | |
| 307 | + "id": "c1fb87da", | |
| 308 | + "metadata": {}, | |
| 309 | + "outputs": [ | |
| 310 | + { | |
| 311 | + "data": { | |
| 312 | + "text/plain": [ | |
| 313 | + "국 80\n", | |
| 314 | + "영 90\n", | |
| 315 | + "수 60\n", | |
| 316 | + "dtype: int64" | |
| 317 | + ] | |
| 318 | + }, | |
| 319 | + "execution_count": 15, | |
| 320 | + "metadata": {}, | |
| 321 | + "output_type": "execute_result" | |
| 322 | + } | |
| 323 | + ], | |
| 324 | + "source": [ | |
| 325 | + "pd.Series([80, 90, 60], index=['국','영', '수'])" | |
| 326 | + ] | |
| 327 | + }, | |
| 328 | + { | |
| 329 | + "cell_type": "code", | |
| 330 | + "execution_count": null, | |
| 331 | + "id": "d57af4fa", | |
| 332 | + "metadata": {}, | |
| 333 | + "outputs": [], | |
| 334 | + "source": [] | |
| 335 | + }, | |
| 336 | + { | |
| 337 | + "cell_type": "code", | |
| 338 | + "execution_count": null, | |
| 339 | + "id": "1dbde3c0", | |
| 340 | + "metadata": {}, | |
| 341 | + "outputs": [], | |
| 342 | + "source": [] | |
| 343 | + }, | |
| 344 | + { | |
| 345 | + "cell_type": "code", | |
| 346 | + "execution_count": null, | |
| 347 | + "id": "873f52ff", | |
| 348 | + "metadata": {}, | |
| 349 | + "outputs": [], | |
| 350 | + "source": [] | |
| 351 | + }, | |
| 352 | + { | |
| 353 | + "cell_type": "code", | |
| 354 | + "execution_count": null, | |
| 355 | + "id": "3e7b5fa9", | |
| 356 | + "metadata": {}, | |
| 357 | + "outputs": [], | |
| 358 | + "source": [] | |
| 359 | + } | |
| 360 | + ], | |
| 361 | + "metadata": { | |
| 362 | + "kernelspec": { | |
| 363 | + "display_name": "Python 3 (ipykernel)", | |
| 364 | + "language": "python", | |
| 365 | + "name": "python3" | |
| 366 | + }, | |
| 367 | + "language_info": { | |
| 368 | + "codemirror_mode": { | |
| 369 | + "name": "ipython", | |
| 370 | + "version": 3 | |
| 371 | + }, | |
| 372 | + "file_extension": ".py", | |
| 373 | + "mimetype": "text/x-python", | |
| 374 | + "name": "python", | |
| 375 | + "nbconvert_exporter": "python", | |
| 376 | + "pygments_lexer": "ipython3", | |
| 377 | + "version": "3.9.7" | |
| 378 | + } | |
| 379 | + }, | |
| 380 | + "nbformat": 4, | |
| 381 | + "nbformat_minor": 5 | |
| 382 | +} |
+++ 20220418/DataFramee.ipynb
... | ... | @@ -0,0 +1,502 @@ |
| 1 | +{ | |
| 2 | + "cells": [ | |
| 3 | + { | |
| 4 | + "cell_type": "code", | |
| 5 | + "execution_count": 1, | |
| 6 | + "id": "2488d73e", | |
| 7 | + "metadata": {}, | |
| 8 | + "outputs": [], | |
| 9 | + "source": [ | |
| 10 | + "import pandas as pd" | |
| 11 | + ] | |
| 12 | + }, | |
| 13 | + { | |
| 14 | + "cell_type": "code", | |
| 15 | + "execution_count": 2, | |
| 16 | + "id": "5923b769", | |
| 17 | + "metadata": {}, | |
| 18 | + "outputs": [ | |
| 19 | + { | |
| 20 | + "data": { | |
| 21 | + "text/plain": [ | |
| 22 | + "{'year': [2018, 2019, 2020], 'sales': [350, 480, 1099]}" | |
| 23 | + ] | |
| 24 | + }, | |
| 25 | + "execution_count": 2, | |
| 26 | + "metadata": {}, | |
| 27 | + "output_type": "execute_result" | |
| 28 | + } | |
| 29 | + ], | |
| 30 | + "source": [ | |
| 31 | + "data_dic = {\n", | |
| 32 | + " 'year' : [2018, 2019, 2020],\n", | |
| 33 | + " 'sales' : [350, 480, 1099]\n", | |
| 34 | + "}\n", | |
| 35 | + "data_dic" | |
| 36 | + ] | |
| 37 | + }, | |
| 38 | + { | |
| 39 | + "cell_type": "code", | |
| 40 | + "execution_count": 4, | |
| 41 | + "id": "1919e60b", | |
| 42 | + "metadata": {}, | |
| 43 | + "outputs": [ | |
| 44 | + { | |
| 45 | + "data": { | |
| 46 | + "text/plain": [ | |
| 47 | + "year [2018, 2019, 2020]\n", | |
| 48 | + "sales [350, 480, 1099]\n", | |
| 49 | + "dtype: object" | |
| 50 | + ] | |
| 51 | + }, | |
| 52 | + "execution_count": 4, | |
| 53 | + "metadata": {}, | |
| 54 | + "output_type": "execute_result" | |
| 55 | + } | |
| 56 | + ], | |
| 57 | + "source": [ | |
| 58 | + "ds = pd.Series(data_dic)\n", | |
| 59 | + "ds" | |
| 60 | + ] | |
| 61 | + }, | |
| 62 | + { | |
| 63 | + "cell_type": "code", | |
| 64 | + "execution_count": 6, | |
| 65 | + "id": "dd46a777", | |
| 66 | + "metadata": {}, | |
| 67 | + "outputs": [ | |
| 68 | + { | |
| 69 | + "data": { | |
| 70 | + "text/html": [ | |
| 71 | + "<div>\n", | |
| 72 | + "<style scoped>\n", | |
| 73 | + " .dataframe tbody tr th:only-of-type {\n", | |
| 74 | + " vertical-align: middle;\n", | |
| 75 | + " }\n", | |
| 76 | + "\n", | |
| 77 | + " .dataframe tbody tr th {\n", | |
| 78 | + " vertical-align: top;\n", | |
| 79 | + " }\n", | |
| 80 | + "\n", | |
| 81 | + " .dataframe thead th {\n", | |
| 82 | + " text-align: right;\n", | |
| 83 | + " }\n", | |
| 84 | + "</style>\n", | |
| 85 | + "<table border=\"1\" class=\"dataframe\">\n", | |
| 86 | + " <thead>\n", | |
| 87 | + " <tr style=\"text-align: right;\">\n", | |
| 88 | + " <th></th>\n", | |
| 89 | + " <th>year</th>\n", | |
| 90 | + " <th>sales</th>\n", | |
| 91 | + " </tr>\n", | |
| 92 | + " </thead>\n", | |
| 93 | + " <tbody>\n", | |
| 94 | + " <tr>\n", | |
| 95 | + " <th>0</th>\n", | |
| 96 | + " <td>2018</td>\n", | |
| 97 | + " <td>350</td>\n", | |
| 98 | + " </tr>\n", | |
| 99 | + " <tr>\n", | |
| 100 | + " <th>1</th>\n", | |
| 101 | + " <td>2019</td>\n", | |
| 102 | + " <td>480</td>\n", | |
| 103 | + " </tr>\n", | |
| 104 | + " <tr>\n", | |
| 105 | + " <th>2</th>\n", | |
| 106 | + " <td>2020</td>\n", | |
| 107 | + " <td>1099</td>\n", | |
| 108 | + " </tr>\n", | |
| 109 | + " </tbody>\n", | |
| 110 | + "</table>\n", | |
| 111 | + "</div>" | |
| 112 | + ], | |
| 113 | + "text/plain": [ | |
| 114 | + " year sales\n", | |
| 115 | + "0 2018 350\n", | |
| 116 | + "1 2019 480\n", | |
| 117 | + "2 2020 1099" | |
| 118 | + ] | |
| 119 | + }, | |
| 120 | + "execution_count": 6, | |
| 121 | + "metadata": {}, | |
| 122 | + "output_type": "execute_result" | |
| 123 | + } | |
| 124 | + ], | |
| 125 | + "source": [ | |
| 126 | + "df1 = pd.DataFrame(data_dic)\n", | |
| 127 | + "df1" | |
| 128 | + ] | |
| 129 | + }, | |
| 130 | + { | |
| 131 | + "cell_type": "code", | |
| 132 | + "execution_count": 7, | |
| 133 | + "id": "14e8c8e5", | |
| 134 | + "metadata": {}, | |
| 135 | + "outputs": [ | |
| 136 | + { | |
| 137 | + "data": { | |
| 138 | + "text/html": [ | |
| 139 | + "<div>\n", | |
| 140 | + "<style scoped>\n", | |
| 141 | + " .dataframe tbody tr th:only-of-type {\n", | |
| 142 | + " vertical-align: middle;\n", | |
| 143 | + " }\n", | |
| 144 | + "\n", | |
| 145 | + " .dataframe tbody tr th {\n", | |
| 146 | + " vertical-align: top;\n", | |
| 147 | + " }\n", | |
| 148 | + "\n", | |
| 149 | + " .dataframe thead th {\n", | |
| 150 | + " text-align: right;\n", | |
| 151 | + " }\n", | |
| 152 | + "</style>\n", | |
| 153 | + "<table border=\"1\" class=\"dataframe\">\n", | |
| 154 | + " <thead>\n", | |
| 155 | + " <tr style=\"text-align: right;\">\n", | |
| 156 | + " <th></th>\n", | |
| 157 | + " <th>sales</th>\n", | |
| 158 | + " </tr>\n", | |
| 159 | + " <tr>\n", | |
| 160 | + " <th>year</th>\n", | |
| 161 | + " <th></th>\n", | |
| 162 | + " </tr>\n", | |
| 163 | + " </thead>\n", | |
| 164 | + " <tbody>\n", | |
| 165 | + " <tr>\n", | |
| 166 | + " <th>2018</th>\n", | |
| 167 | + " <td>350</td>\n", | |
| 168 | + " </tr>\n", | |
| 169 | + " <tr>\n", | |
| 170 | + " <th>2019</th>\n", | |
| 171 | + " <td>480</td>\n", | |
| 172 | + " </tr>\n", | |
| 173 | + " <tr>\n", | |
| 174 | + " <th>2020</th>\n", | |
| 175 | + " <td>1099</td>\n", | |
| 176 | + " </tr>\n", | |
| 177 | + " </tbody>\n", | |
| 178 | + "</table>\n", | |
| 179 | + "</div>" | |
| 180 | + ], | |
| 181 | + "text/plain": [ | |
| 182 | + " sales\n", | |
| 183 | + "year \n", | |
| 184 | + "2018 350\n", | |
| 185 | + "2019 480\n", | |
| 186 | + "2020 1099" | |
| 187 | + ] | |
| 188 | + }, | |
| 189 | + "execution_count": 7, | |
| 190 | + "metadata": {}, | |
| 191 | + "output_type": "execute_result" | |
| 192 | + } | |
| 193 | + ], | |
| 194 | + "source": [ | |
| 195 | + "df1.set_index('year')" | |
| 196 | + ] | |
| 197 | + }, | |
| 198 | + { | |
| 199 | + "cell_type": "code", | |
| 200 | + "execution_count": 10, | |
| 201 | + "id": "6f0a64c7", | |
| 202 | + "metadata": {}, | |
| 203 | + "outputs": [ | |
| 204 | + { | |
| 205 | + "data": { | |
| 206 | + "text/html": [ | |
| 207 | + "<div>\n", | |
| 208 | + "<style scoped>\n", | |
| 209 | + " .dataframe tbody tr th:only-of-type {\n", | |
| 210 | + " vertical-align: middle;\n", | |
| 211 | + " }\n", | |
| 212 | + "\n", | |
| 213 | + " .dataframe tbody tr th {\n", | |
| 214 | + " vertical-align: top;\n", | |
| 215 | + " }\n", | |
| 216 | + "\n", | |
| 217 | + " .dataframe thead th {\n", | |
| 218 | + " text-align: right;\n", | |
| 219 | + " }\n", | |
| 220 | + "</style>\n", | |
| 221 | + "<table border=\"1\" class=\"dataframe\">\n", | |
| 222 | + " <thead>\n", | |
| 223 | + " <tr style=\"text-align: right;\">\n", | |
| 224 | + " <th></th>\n", | |
| 225 | + " <th>1반</th>\n", | |
| 226 | + " <th>2반</th>\n", | |
| 227 | + " <th>3반</th>\n", | |
| 228 | + " </tr>\n", | |
| 229 | + " </thead>\n", | |
| 230 | + " <tbody>\n", | |
| 231 | + " <tr>\n", | |
| 232 | + " <th>중간고사</th>\n", | |
| 233 | + " <td>89.2</td>\n", | |
| 234 | + " <td>92.5</td>\n", | |
| 235 | + " <td>90.8</td>\n", | |
| 236 | + " </tr>\n", | |
| 237 | + " <tr>\n", | |
| 238 | + " <th>기말고사</th>\n", | |
| 239 | + " <td>92.8</td>\n", | |
| 240 | + " <td>89.9</td>\n", | |
| 241 | + " <td>95.2</td>\n", | |
| 242 | + " </tr>\n", | |
| 243 | + " </tbody>\n", | |
| 244 | + "</table>\n", | |
| 245 | + "</div>" | |
| 246 | + ], | |
| 247 | + "text/plain": [ | |
| 248 | + " 1반 2반 3반\n", | |
| 249 | + "중간고사 89.2 92.5 90.8\n", | |
| 250 | + "기말고사 92.8 89.9 95.2" | |
| 251 | + ] | |
| 252 | + }, | |
| 253 | + "execution_count": 10, | |
| 254 | + "metadata": {}, | |
| 255 | + "output_type": "execute_result" | |
| 256 | + } | |
| 257 | + ], | |
| 258 | + "source": [ | |
| 259 | + "data2 = ['1반', '2반', '3반']\n", | |
| 260 | + "df2 = pd.DataFrame([[89.2, 92.5, 90.8], [92.8, 89.9, 95.2]], index = ['중간고사', '기말고사'], columns = data2[0:3])\n", | |
| 261 | + "df2" | |
| 262 | + ] | |
| 263 | + }, | |
| 264 | + { | |
| 265 | + "cell_type": "code", | |
| 266 | + "execution_count": 11, | |
| 267 | + "id": "a1ea90d8", | |
| 268 | + "metadata": {}, | |
| 269 | + "outputs": [], | |
| 270 | + "source": [ | |
| 271 | + "df1 = pd.DataFrame([[89.2, 92.5, 90.8], [92.8, 89.9, 95.2]])" | |
| 272 | + ] | |
| 273 | + }, | |
| 274 | + { | |
| 275 | + "cell_type": "code", | |
| 276 | + "execution_count": 12, | |
| 277 | + "id": "db0b10ea", | |
| 278 | + "metadata": {}, | |
| 279 | + "outputs": [ | |
| 280 | + { | |
| 281 | + "data": { | |
| 282 | + "text/html": [ | |
| 283 | + "<div>\n", | |
| 284 | + "<style scoped>\n", | |
| 285 | + " .dataframe tbody tr th:only-of-type {\n", | |
| 286 | + " vertical-align: middle;\n", | |
| 287 | + " }\n", | |
| 288 | + "\n", | |
| 289 | + " .dataframe tbody tr th {\n", | |
| 290 | + " vertical-align: top;\n", | |
| 291 | + " }\n", | |
| 292 | + "\n", | |
| 293 | + " .dataframe thead th {\n", | |
| 294 | + " text-align: right;\n", | |
| 295 | + " }\n", | |
| 296 | + "</style>\n", | |
| 297 | + "<table border=\"1\" class=\"dataframe\">\n", | |
| 298 | + " <thead>\n", | |
| 299 | + " <tr style=\"text-align: right;\">\n", | |
| 300 | + " <th></th>\n", | |
| 301 | + " <th>0</th>\n", | |
| 302 | + " <th>1</th>\n", | |
| 303 | + " <th>2</th>\n", | |
| 304 | + " </tr>\n", | |
| 305 | + " </thead>\n", | |
| 306 | + " <tbody>\n", | |
| 307 | + " <tr>\n", | |
| 308 | + " <th>0</th>\n", | |
| 309 | + " <td>89.2</td>\n", | |
| 310 | + " <td>92.5</td>\n", | |
| 311 | + " <td>90.8</td>\n", | |
| 312 | + " </tr>\n", | |
| 313 | + " <tr>\n", | |
| 314 | + " <th>1</th>\n", | |
| 315 | + " <td>92.8</td>\n", | |
| 316 | + " <td>89.9</td>\n", | |
| 317 | + " <td>95.2</td>\n", | |
| 318 | + " </tr>\n", | |
| 319 | + " </tbody>\n", | |
| 320 | + "</table>\n", | |
| 321 | + "</div>" | |
| 322 | + ], | |
| 323 | + "text/plain": [ | |
| 324 | + " 0 1 2\n", | |
| 325 | + "0 89.2 92.5 90.8\n", | |
| 326 | + "1 92.8 89.9 95.2" | |
| 327 | + ] | |
| 328 | + }, | |
| 329 | + "execution_count": 12, | |
| 330 | + "metadata": {}, | |
| 331 | + "output_type": "execute_result" | |
| 332 | + } | |
| 333 | + ], | |
| 334 | + "source": [ | |
| 335 | + "df1" | |
| 336 | + ] | |
| 337 | + }, | |
| 338 | + { | |
| 339 | + "cell_type": "code", | |
| 340 | + "execution_count": 13, | |
| 341 | + "id": "0deb3702", | |
| 342 | + "metadata": {}, | |
| 343 | + "outputs": [], | |
| 344 | + "source": [ | |
| 345 | + "df1.columns = {1, 2, 3}" | |
| 346 | + ] | |
| 347 | + }, | |
| 348 | + { | |
| 349 | + "cell_type": "code", | |
| 350 | + "execution_count": 15, | |
| 351 | + "id": "069b808e", | |
| 352 | + "metadata": {}, | |
| 353 | + "outputs": [], | |
| 354 | + "source": [ | |
| 355 | + "df1.index = {'middle', 'final'}" | |
| 356 | + ] | |
| 357 | + }, | |
| 358 | + { | |
| 359 | + "cell_type": "code", | |
| 360 | + "execution_count": 16, | |
| 361 | + "id": "9ee94d2c", | |
| 362 | + "metadata": {}, | |
| 363 | + "outputs": [ | |
| 364 | + { | |
| 365 | + "data": { | |
| 366 | + "text/html": [ | |
| 367 | + "<div>\n", | |
| 368 | + "<style scoped>\n", | |
| 369 | + " .dataframe tbody tr th:only-of-type {\n", | |
| 370 | + " vertical-align: middle;\n", | |
| 371 | + " }\n", | |
| 372 | + "\n", | |
| 373 | + " .dataframe tbody tr th {\n", | |
| 374 | + " vertical-align: top;\n", | |
| 375 | + " }\n", | |
| 376 | + "\n", | |
| 377 | + " .dataframe thead th {\n", | |
| 378 | + " text-align: right;\n", | |
| 379 | + " }\n", | |
| 380 | + "</style>\n", | |
| 381 | + "<table border=\"1\" class=\"dataframe\">\n", | |
| 382 | + " <thead>\n", | |
| 383 | + " <tr style=\"text-align: right;\">\n", | |
| 384 | + " <th></th>\n", | |
| 385 | + " <th>1</th>\n", | |
| 386 | + " <th>2</th>\n", | |
| 387 | + " <th>3</th>\n", | |
| 388 | + " </tr>\n", | |
| 389 | + " </thead>\n", | |
| 390 | + " <tbody>\n", | |
| 391 | + " <tr>\n", | |
| 392 | + " <th>middle</th>\n", | |
| 393 | + " <td>89.2</td>\n", | |
| 394 | + " <td>92.5</td>\n", | |
| 395 | + " <td>90.8</td>\n", | |
| 396 | + " </tr>\n", | |
| 397 | + " <tr>\n", | |
| 398 | + " <th>final</th>\n", | |
| 399 | + " <td>92.8</td>\n", | |
| 400 | + " <td>89.9</td>\n", | |
| 401 | + " <td>95.2</td>\n", | |
| 402 | + " </tr>\n", | |
| 403 | + " </tbody>\n", | |
| 404 | + "</table>\n", | |
| 405 | + "</div>" | |
| 406 | + ], | |
| 407 | + "text/plain": [ | |
| 408 | + " 1 2 3\n", | |
| 409 | + "middle 89.2 92.5 90.8\n", | |
| 410 | + "final 92.8 89.9 95.2" | |
| 411 | + ] | |
| 412 | + }, | |
| 413 | + "execution_count": 16, | |
| 414 | + "metadata": {}, | |
| 415 | + "output_type": "execute_result" | |
| 416 | + } | |
| 417 | + ], | |
| 418 | + "source": [ | |
| 419 | + "df1" | |
| 420 | + ] | |
| 421 | + }, | |
| 422 | + { | |
| 423 | + "cell_type": "code", | |
| 424 | + "execution_count": 20, | |
| 425 | + "id": "8cdb7b5f", | |
| 426 | + "metadata": {}, | |
| 427 | + "outputs": [], | |
| 428 | + "source": [ | |
| 429 | + "df1.to_csv('C:/Users/pc/dev/20220418/score.csv')" | |
| 430 | + ] | |
| 431 | + }, | |
| 432 | + { | |
| 433 | + "cell_type": "code", | |
| 434 | + "execution_count": 21, | |
| 435 | + "id": "d7b41ef1", | |
| 436 | + "metadata": {}, | |
| 437 | + "outputs": [], | |
| 438 | + "source": [ | |
| 439 | + "df1.to_csv('C:/Users/pc/dev/20220418/score2.csv', header='False')" | |
| 440 | + ] | |
| 441 | + }, | |
| 442 | + { | |
| 443 | + "cell_type": "code", | |
| 444 | + "execution_count": 22, | |
| 445 | + "id": "971fd233", | |
| 446 | + "metadata": {}, | |
| 447 | + "outputs": [], | |
| 448 | + "source": [ | |
| 449 | + "df1.to_csv('C:/Users/pc/dev/20220418/score3.csv', encoding='utf-8')" | |
| 450 | + ] | |
| 451 | + }, | |
| 452 | + { | |
| 453 | + "cell_type": "code", | |
| 454 | + "execution_count": 23, | |
| 455 | + "id": "a3539477", | |
| 456 | + "metadata": {}, | |
| 457 | + "outputs": [], | |
| 458 | + "source": [ | |
| 459 | + "df1.to_csv('C:/Users/pc/dev/20220418/score4.csv', encoding='euc-kr')" | |
| 460 | + ] | |
| 461 | + }, | |
| 462 | + { | |
| 463 | + "cell_type": "code", | |
| 464 | + "execution_count": 24, | |
| 465 | + "id": "66613fcc", | |
| 466 | + "metadata": {}, | |
| 467 | + "outputs": [], | |
| 468 | + "source": [ | |
| 469 | + "df1.to_csv('C:/Users/pc/dev/20220418/score5.csv', encoding='ms949')" | |
| 470 | + ] | |
| 471 | + }, | |
| 472 | + { | |
| 473 | + "cell_type": "code", | |
| 474 | + "execution_count": null, | |
| 475 | + "id": "6c64e3d3", | |
| 476 | + "metadata": {}, | |
| 477 | + "outputs": [], | |
| 478 | + "source": [] | |
| 479 | + } | |
| 480 | + ], | |
| 481 | + "metadata": { | |
| 482 | + "kernelspec": { | |
| 483 | + "display_name": "Python 3 (ipykernel)", | |
| 484 | + "language": "python", | |
| 485 | + "name": "python3" | |
| 486 | + }, | |
| 487 | + "language_info": { | |
| 488 | + "codemirror_mode": { | |
| 489 | + "name": "ipython", | |
| 490 | + "version": 3 | |
| 491 | + }, | |
| 492 | + "file_extension": ".py", | |
| 493 | + "mimetype": "text/x-python", | |
| 494 | + "name": "python", | |
| 495 | + "nbconvert_exporter": "python", | |
| 496 | + "pygments_lexer": "ipython3", | |
| 497 | + "version": "3.9.7" | |
| 498 | + } | |
| 499 | + }, | |
| 500 | + "nbformat": 4, | |
| 501 | + "nbformat_minor": 5 | |
| 502 | +} |
+++ 20220418/Matplotlib.ipynb
... | ... | @@ -0,0 +1,112 @@ |
| 1 | +{ | |
| 2 | + "cells": [ | |
| 3 | + { | |
| 4 | + "cell_type": "code", | |
| 5 | + "execution_count": 1, | |
| 6 | + "id": "62351d3c", | |
| 7 | + "metadata": {}, | |
| 8 | + "outputs": [], | |
| 9 | + "source": [ | |
| 10 | + "import matplotlib" | |
| 11 | + ] | |
| 12 | + }, | |
| 13 | + { | |
| 14 | + "cell_type": "code", | |
| 15 | + "execution_count": 2, | |
| 16 | + "id": "48e7bcba", | |
| 17 | + "metadata": {}, | |
| 18 | + "outputs": [ | |
| 19 | + { | |
| 20 | + "data": { | |
| 21 | + "text/plain": [ | |
| 22 | + "'3.4.3'" | |
| 23 | + ] | |
| 24 | + }, | |
| 25 | + "execution_count": 2, | |
| 26 | + "metadata": {}, | |
| 27 | + "output_type": "execute_result" | |
| 28 | + } | |
| 29 | + ], | |
| 30 | + "source": [ | |
| 31 | + "matplotlib.__version__" | |
| 32 | + ] | |
| 33 | + }, | |
| 34 | + { | |
| 35 | + "cell_type": "code", | |
| 36 | + "execution_count": 3, | |
| 37 | + "id": "c0c70010", | |
| 38 | + "metadata": {}, | |
| 39 | + "outputs": [], | |
| 40 | + "source": [ | |
| 41 | + "import matplotlib.pyplot as plt" | |
| 42 | + ] | |
| 43 | + }, | |
| 44 | + { | |
| 45 | + "cell_type": "code", | |
| 46 | + "execution_count": 4, | |
| 47 | + "id": "1469fa89", | |
| 48 | + "metadata": {}, | |
| 49 | + "outputs": [], | |
| 50 | + "source": [ | |
| 51 | + "x = [2016, 2017, 2018, 2019, 2020]\n", | |
| 52 | + "y = [350, 410, 520, 695, 543]" | |
| 53 | + ] | |
| 54 | + }, | |
| 55 | + { | |
| 56 | + "cell_type": "code", | |
| 57 | + "execution_count": 10, | |
| 58 | + "id": "6a2e6507", | |
| 59 | + "metadata": {}, | |
| 60 | + "outputs": [ | |
| 61 | + { | |
| 62 | + "data": { | |
| 63 | + "image/png": 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\n", | |
| 64 | + "text/plain": [ | |
| 65 | + "<Figure size 432x288 with 1 Axes>" | |
| 66 | + ] | |
| 67 | + }, | |
| 68 | + "metadata": { | |
| 69 | + "needs_background": "light" | |
| 70 | + }, | |
| 71 | + "output_type": "display_data" | |
| 72 | + } | |
| 73 | + ], | |
| 74 | + "source": [ | |
| 75 | + "plt.plot(x, y)\n", | |
| 76 | + "plt.title('Annual sales')\n", | |
| 77 | + "plt.xlabel('years')\n", | |
| 78 | + "plt.ylabel('sales')\n", | |
| 79 | + "plt.show()" | |
| 80 | + ] | |
| 81 | + }, | |
| 82 | + { | |
| 83 | + "cell_type": "code", | |
| 84 | + "execution_count": null, | |
| 85 | + "id": "a412e599", | |
| 86 | + "metadata": {}, | |
| 87 | + "outputs": [], | |
| 88 | + "source": [] | |
| 89 | + } | |
| 90 | + ], | |
| 91 | + "metadata": { | |
| 92 | + "kernelspec": { | |
| 93 | + "display_name": "Python 3 (ipykernel)", | |
| 94 | + "language": "python", | |
| 95 | + "name": "python3" | |
| 96 | + }, | |
| 97 | + "language_info": { | |
| 98 | + "codemirror_mode": { | |
| 99 | + "name": "ipython", | |
| 100 | + "version": 3 | |
| 101 | + }, | |
| 102 | + "file_extension": ".py", | |
| 103 | + "mimetype": "text/x-python", | |
| 104 | + "name": "python", | |
| 105 | + "nbconvert_exporter": "python", | |
| 106 | + "pygments_lexer": "ipython3", | |
| 107 | + "version": "3.9.7" | |
| 108 | + } | |
| 109 | + }, | |
| 110 | + "nbformat": 4, | |
| 111 | + "nbformat_minor": 5 | |
| 112 | +} |
+++ 20220418/numpy.ipynb
... | ... | @@ -0,0 +1,262 @@ |
| 1 | +{ | |
| 2 | + "cells": [ | |
| 3 | + { | |
| 4 | + "cell_type": "code", | |
| 5 | + "execution_count": 5, | |
| 6 | + "id": "4a18b98a", | |
| 7 | + "metadata": {}, | |
| 8 | + "outputs": [], | |
| 9 | + "source": [ | |
| 10 | + "import numpy as np" | |
| 11 | + ] | |
| 12 | + }, | |
| 13 | + { | |
| 14 | + "cell_type": "code", | |
| 15 | + "execution_count": 11, | |
| 16 | + "id": "0c3e1e30", | |
| 17 | + "metadata": {}, | |
| 18 | + "outputs": [ | |
| 19 | + { | |
| 20 | + "data": { | |
| 21 | + "text/plain": [ | |
| 22 | + "'1.20.3'" | |
| 23 | + ] | |
| 24 | + }, | |
| 25 | + "execution_count": 11, | |
| 26 | + "metadata": {}, | |
| 27 | + "output_type": "execute_result" | |
| 28 | + } | |
| 29 | + ], | |
| 30 | + "source": [ | |
| 31 | + "np.__version__" | |
| 32 | + ] | |
| 33 | + }, | |
| 34 | + { | |
| 35 | + "cell_type": "code", | |
| 36 | + "execution_count": 24, | |
| 37 | + "id": "e3b36b1f", | |
| 38 | + "metadata": {}, | |
| 39 | + "outputs": [ | |
| 40 | + { | |
| 41 | + "data": { | |
| 42 | + "text/plain": [ | |
| 43 | + "numpy.ndarray" | |
| 44 | + ] | |
| 45 | + }, | |
| 46 | + "execution_count": 24, | |
| 47 | + "metadata": {}, | |
| 48 | + "output_type": "execute_result" | |
| 49 | + } | |
| 50 | + ], | |
| 51 | + "source": [ | |
| 52 | + "ar1 = np.array([1, 2, 3, 4, 5])\n", | |
| 53 | + "type(ar1)" | |
| 54 | + ] | |
| 55 | + }, | |
| 56 | + { | |
| 57 | + "cell_type": "code", | |
| 58 | + "execution_count": 28, | |
| 59 | + "id": "d3fd2749", | |
| 60 | + "metadata": {}, | |
| 61 | + "outputs": [ | |
| 62 | + { | |
| 63 | + "data": { | |
| 64 | + "text/plain": [ | |
| 65 | + "list" | |
| 66 | + ] | |
| 67 | + }, | |
| 68 | + "execution_count": 28, | |
| 69 | + "metadata": {}, | |
| 70 | + "output_type": "execute_result" | |
| 71 | + } | |
| 72 | + ], | |
| 73 | + "source": [ | |
| 74 | + "list1 = [[10, 20 ,30], [40, 50, 60]]\n", | |
| 75 | + "type(list1)" | |
| 76 | + ] | |
| 77 | + }, | |
| 78 | + { | |
| 79 | + "cell_type": "code", | |
| 80 | + "execution_count": 29, | |
| 81 | + "id": "f6817fb2", | |
| 82 | + "metadata": {}, | |
| 83 | + "outputs": [ | |
| 84 | + { | |
| 85 | + "data": { | |
| 86 | + "text/plain": [ | |
| 87 | + "array([[10, 20, 30],\n", | |
| 88 | + " [40, 50, 60]])" | |
| 89 | + ] | |
| 90 | + }, | |
| 91 | + "execution_count": 29, | |
| 92 | + "metadata": {}, | |
| 93 | + "output_type": "execute_result" | |
| 94 | + } | |
| 95 | + ], | |
| 96 | + "source": [ | |
| 97 | + "ar2 = np.array(list1)\n", | |
| 98 | + "ar2" | |
| 99 | + ] | |
| 100 | + }, | |
| 101 | + { | |
| 102 | + "cell_type": "code", | |
| 103 | + "execution_count": 30, | |
| 104 | + "id": "734954ee", | |
| 105 | + "metadata": {}, | |
| 106 | + "outputs": [ | |
| 107 | + { | |
| 108 | + "data": { | |
| 109 | + "text/plain": [ | |
| 110 | + "array([1, 3, 5, 7, 9])" | |
| 111 | + ] | |
| 112 | + }, | |
| 113 | + "execution_count": 30, | |
| 114 | + "metadata": {}, | |
| 115 | + "output_type": "execute_result" | |
| 116 | + } | |
| 117 | + ], | |
| 118 | + "source": [ | |
| 119 | + "ar3 = np.arange(1, 11, 2)\n", | |
| 120 | + "ar3" | |
| 121 | + ] | |
| 122 | + }, | |
| 123 | + { | |
| 124 | + "cell_type": "code", | |
| 125 | + "execution_count": 43, | |
| 126 | + "id": "9288e528", | |
| 127 | + "metadata": {}, | |
| 128 | + "outputs": [ | |
| 129 | + { | |
| 130 | + "data": { | |
| 131 | + "text/plain": [ | |
| 132 | + "array([ 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26,\n", | |
| 133 | + " 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50, 52,\n", | |
| 134 | + " 54, 56, 58, 60, 62, 64, 66, 68, 70, 72, 74, 76, 78,\n", | |
| 135 | + " 80, 82, 84, 86, 88, 90, 92, 94, 96, 98, 100])" | |
| 136 | + ] | |
| 137 | + }, | |
| 138 | + "execution_count": 43, | |
| 139 | + "metadata": {}, | |
| 140 | + "output_type": "execute_result" | |
| 141 | + } | |
| 142 | + ], | |
| 143 | + "source": [ | |
| 144 | + "ar3_1 = np.arange(2, 101, 2)\n", | |
| 145 | + "ar3_1" | |
| 146 | + ] | |
| 147 | + }, | |
| 148 | + { | |
| 149 | + "cell_type": "code", | |
| 150 | + "execution_count": 45, | |
| 151 | + "id": "55f5ed5e", | |
| 152 | + "metadata": {}, | |
| 153 | + "outputs": [ | |
| 154 | + { | |
| 155 | + "data": { | |
| 156 | + "text/plain": [ | |
| 157 | + "array([[1, 2],\n", | |
| 158 | + " [3, 4],\n", | |
| 159 | + " [5, 6]])" | |
| 160 | + ] | |
| 161 | + }, | |
| 162 | + "execution_count": 45, | |
| 163 | + "metadata": {}, | |
| 164 | + "output_type": "execute_result" | |
| 165 | + } | |
| 166 | + ], | |
| 167 | + "source": [ | |
| 168 | + "ar4 = np.array([1, 2, 3, 4, 5, 6]).reshape((3, 2))\n", | |
| 169 | + "ar4" | |
| 170 | + ] | |
| 171 | + }, | |
| 172 | + { | |
| 173 | + "cell_type": "code", | |
| 174 | + "execution_count": 32, | |
| 175 | + "id": "e2888e7c", | |
| 176 | + "metadata": {}, | |
| 177 | + "outputs": [ | |
| 178 | + { | |
| 179 | + "data": { | |
| 180 | + "text/plain": [ | |
| 181 | + "array([[0., 0., 0.],\n", | |
| 182 | + " [0., 0., 0.]])" | |
| 183 | + ] | |
| 184 | + }, | |
| 185 | + "execution_count": 32, | |
| 186 | + "metadata": {}, | |
| 187 | + "output_type": "execute_result" | |
| 188 | + } | |
| 189 | + ], | |
| 190 | + "source": [ | |
| 191 | + "ar5 = np.zeros((2, 3))\n", | |
| 192 | + "ar5" | |
| 193 | + ] | |
| 194 | + }, | |
| 195 | + { | |
| 196 | + "cell_type": "code", | |
| 197 | + "execution_count": 46, | |
| 198 | + "id": "833867ef", | |
| 199 | + "metadata": {}, | |
| 200 | + "outputs": [ | |
| 201 | + { | |
| 202 | + "data": { | |
| 203 | + "text/plain": [ | |
| 204 | + "array([[10, 20],\n", | |
| 205 | + " [40, 50]])" | |
| 206 | + ] | |
| 207 | + }, | |
| 208 | + "execution_count": 46, | |
| 209 | + "metadata": {}, | |
| 210 | + "output_type": "execute_result" | |
| 211 | + } | |
| 212 | + ], | |
| 213 | + "source": [ | |
| 214 | + "ar6 = ar2[0:2, 0:2]\n", | |
| 215 | + "ar6" | |
| 216 | + ] | |
| 217 | + }, | |
| 218 | + { | |
| 219 | + "cell_type": "code", | |
| 220 | + "execution_count": 47, | |
| 221 | + "id": "3e9d7308", | |
| 222 | + "metadata": {}, | |
| 223 | + "outputs": [ | |
| 224 | + { | |
| 225 | + "data": { | |
| 226 | + "text/plain": [ | |
| 227 | + "array([10, 20, 30])" | |
| 228 | + ] | |
| 229 | + }, | |
| 230 | + "execution_count": 47, | |
| 231 | + "metadata": {}, | |
| 232 | + "output_type": "execute_result" | |
| 233 | + } | |
| 234 | + ], | |
| 235 | + "source": [ | |
| 236 | + "ar7 = ar2[0, :]\n", | |
| 237 | + "ar7" | |
| 238 | + ] | |
| 239 | + } | |
| 240 | + ], | |
| 241 | + "metadata": { | |
| 242 | + "kernelspec": { | |
| 243 | + "display_name": "Python 3 (ipykernel)", | |
| 244 | + "language": "python", | |
| 245 | + "name": "python3" | |
| 246 | + }, | |
| 247 | + "language_info": { | |
| 248 | + "codemirror_mode": { | |
| 249 | + "name": "ipython", | |
| 250 | + "version": 3 | |
| 251 | + }, | |
| 252 | + "file_extension": ".py", | |
| 253 | + "mimetype": "text/x-python", | |
| 254 | + "name": "python", | |
| 255 | + "nbconvert_exporter": "python", | |
| 256 | + "pygments_lexer": "ipython3", | |
| 257 | + "version": "3.9.7" | |
| 258 | + } | |
| 259 | + }, | |
| 260 | + "nbformat": 4, | |
| 261 | + "nbformat_minor": 5 | |
| 262 | +} |
+++ 20220418/pandas.ipynb
... | ... | @@ -0,0 +1,382 @@ |
| 1 | +{ | |
| 2 | + "cells": [ | |
| 3 | + { | |
| 4 | + "cell_type": "code", | |
| 5 | + "execution_count": 1, | |
| 6 | + "id": "135c4f51", | |
| 7 | + "metadata": {}, | |
| 8 | + "outputs": [], | |
| 9 | + "source": [ | |
| 10 | + "import pandas as pd" | |
| 11 | + ] | |
| 12 | + }, | |
| 13 | + { | |
| 14 | + "cell_type": "code", | |
| 15 | + "execution_count": 2, | |
| 16 | + "id": "e3deb7db", | |
| 17 | + "metadata": {}, | |
| 18 | + "outputs": [ | |
| 19 | + { | |
| 20 | + "data": { | |
| 21 | + "text/plain": [ | |
| 22 | + "'1.3.4'" | |
| 23 | + ] | |
| 24 | + }, | |
| 25 | + "execution_count": 2, | |
| 26 | + "metadata": {}, | |
| 27 | + "output_type": "execute_result" | |
| 28 | + } | |
| 29 | + ], | |
| 30 | + "source": [ | |
| 31 | + "pd.__version__" | |
| 32 | + ] | |
| 33 | + }, | |
| 34 | + { | |
| 35 | + "cell_type": "code", | |
| 36 | + "execution_count": 3, | |
| 37 | + "id": "622a5e4f", | |
| 38 | + "metadata": {}, | |
| 39 | + "outputs": [ | |
| 40 | + { | |
| 41 | + "data": { | |
| 42 | + "text/plain": [ | |
| 43 | + "[10, 20, 30, 40, 50]" | |
| 44 | + ] | |
| 45 | + }, | |
| 46 | + "execution_count": 3, | |
| 47 | + "metadata": {}, | |
| 48 | + "output_type": "execute_result" | |
| 49 | + } | |
| 50 | + ], | |
| 51 | + "source": [ | |
| 52 | + "data1 = [10, 20, 30, 40, 50]\n", | |
| 53 | + "data1" | |
| 54 | + ] | |
| 55 | + }, | |
| 56 | + { | |
| 57 | + "cell_type": "code", | |
| 58 | + "execution_count": 4, | |
| 59 | + "id": "c5c471cd", | |
| 60 | + "metadata": {}, | |
| 61 | + "outputs": [ | |
| 62 | + { | |
| 63 | + "data": { | |
| 64 | + "text/plain": [ | |
| 65 | + "['1반', '2반', '3반', '4반', '5반']" | |
| 66 | + ] | |
| 67 | + }, | |
| 68 | + "execution_count": 4, | |
| 69 | + "metadata": {}, | |
| 70 | + "output_type": "execute_result" | |
| 71 | + } | |
| 72 | + ], | |
| 73 | + "source": [ | |
| 74 | + "data2 = ['1반', '2반', '3반', '4반', '5반']\n", | |
| 75 | + "data2" | |
| 76 | + ] | |
| 77 | + }, | |
| 78 | + { | |
| 79 | + "cell_type": "code", | |
| 80 | + "execution_count": 6, | |
| 81 | + "id": "def4a017", | |
| 82 | + "metadata": {}, | |
| 83 | + "outputs": [ | |
| 84 | + { | |
| 85 | + "data": { | |
| 86 | + "text/plain": [ | |
| 87 | + "0 10\n", | |
| 88 | + "1 20\n", | |
| 89 | + "2 30\n", | |
| 90 | + "3 40\n", | |
| 91 | + "4 50\n", | |
| 92 | + "dtype: int64" | |
| 93 | + ] | |
| 94 | + }, | |
| 95 | + "execution_count": 6, | |
| 96 | + "metadata": {}, | |
| 97 | + "output_type": "execute_result" | |
| 98 | + } | |
| 99 | + ], | |
| 100 | + "source": [ | |
| 101 | + "sr1 = pd.Series(data1)\n", | |
| 102 | + "sr1" | |
| 103 | + ] | |
| 104 | + }, | |
| 105 | + { | |
| 106 | + "cell_type": "code", | |
| 107 | + "execution_count": 8, | |
| 108 | + "id": "e5eae9d2", | |
| 109 | + "metadata": {}, | |
| 110 | + "outputs": [ | |
| 111 | + { | |
| 112 | + "data": { | |
| 113 | + "text/plain": [ | |
| 114 | + "0 1반\n", | |
| 115 | + "1 2반\n", | |
| 116 | + "2 3반\n", | |
| 117 | + "3 4반\n", | |
| 118 | + "4 5반\n", | |
| 119 | + "dtype: object" | |
| 120 | + ] | |
| 121 | + }, | |
| 122 | + "execution_count": 8, | |
| 123 | + "metadata": {}, | |
| 124 | + "output_type": "execute_result" | |
| 125 | + } | |
| 126 | + ], | |
| 127 | + "source": [ | |
| 128 | + "sr2 = pd.Series(data2)\n", | |
| 129 | + "sr2" | |
| 130 | + ] | |
| 131 | + }, | |
| 132 | + { | |
| 133 | + "cell_type": "code", | |
| 134 | + "execution_count": 9, | |
| 135 | + "id": "b0a455a5", | |
| 136 | + "metadata": {}, | |
| 137 | + "outputs": [ | |
| 138 | + { | |
| 139 | + "data": { | |
| 140 | + "text/plain": [ | |
| 141 | + "0 101\n", | |
| 142 | + "1 102\n", | |
| 143 | + "2 103\n", | |
| 144 | + "3 104\n", | |
| 145 | + "4 105\n", | |
| 146 | + "dtype: int64" | |
| 147 | + ] | |
| 148 | + }, | |
| 149 | + "execution_count": 9, | |
| 150 | + "metadata": {}, | |
| 151 | + "output_type": "execute_result" | |
| 152 | + } | |
| 153 | + ], | |
| 154 | + "source": [ | |
| 155 | + "sr3 = pd.Series([101, 102, 103, 104, 105])\n", | |
| 156 | + "sr3" | |
| 157 | + ] | |
| 158 | + }, | |
| 159 | + { | |
| 160 | + "cell_type": "code", | |
| 161 | + "execution_count": 10, | |
| 162 | + "id": "dd083b80", | |
| 163 | + "metadata": {}, | |
| 164 | + "outputs": [ | |
| 165 | + { | |
| 166 | + "data": { | |
| 167 | + "text/plain": [ | |
| 168 | + "1000 10\n", | |
| 169 | + "1001 20\n", | |
| 170 | + "1002 30\n", | |
| 171 | + "1003 40\n", | |
| 172 | + "1004 50\n", | |
| 173 | + "dtype: int64" | |
| 174 | + ] | |
| 175 | + }, | |
| 176 | + "execution_count": 10, | |
| 177 | + "metadata": {}, | |
| 178 | + "output_type": "execute_result" | |
| 179 | + } | |
| 180 | + ], | |
| 181 | + "source": [ | |
| 182 | + "sr4 = pd.Series(data1, index=[1000, 1001, 1002, 1003, 1004])\n", | |
| 183 | + "sr4" | |
| 184 | + ] | |
| 185 | + }, | |
| 186 | + { | |
| 187 | + "cell_type": "code", | |
| 188 | + "execution_count": 11, | |
| 189 | + "id": "e8d864d7", | |
| 190 | + "metadata": {}, | |
| 191 | + "outputs": [ | |
| 192 | + { | |
| 193 | + "data": { | |
| 194 | + "text/plain": [ | |
| 195 | + "0 월\n", | |
| 196 | + "1 화\n", | |
| 197 | + "2 수\n", | |
| 198 | + "3 목\n", | |
| 199 | + "4 금\n", | |
| 200 | + "dtype: object" | |
| 201 | + ] | |
| 202 | + }, | |
| 203 | + "execution_count": 11, | |
| 204 | + "metadata": {}, | |
| 205 | + "output_type": "execute_result" | |
| 206 | + } | |
| 207 | + ], | |
| 208 | + "source": [ | |
| 209 | + "sr5 = pd.Series(['월', '화', '수', '목', '금'])\n", | |
| 210 | + "sr5" | |
| 211 | + ] | |
| 212 | + }, | |
| 213 | + { | |
| 214 | + "cell_type": "code", | |
| 215 | + "execution_count": 12, | |
| 216 | + "id": "cd3aead2", | |
| 217 | + "metadata": {}, | |
| 218 | + "outputs": [ | |
| 219 | + { | |
| 220 | + "data": { | |
| 221 | + "text/plain": [ | |
| 222 | + "1반 10\n", | |
| 223 | + "2반 20\n", | |
| 224 | + "3반 30\n", | |
| 225 | + "4반 40\n", | |
| 226 | + "5반 50\n", | |
| 227 | + "dtype: int64" | |
| 228 | + ] | |
| 229 | + }, | |
| 230 | + "execution_count": 12, | |
| 231 | + "metadata": {}, | |
| 232 | + "output_type": "execute_result" | |
| 233 | + } | |
| 234 | + ], | |
| 235 | + "source": [ | |
| 236 | + "sr6 = pd.Series(data1, index = data2)\n", | |
| 237 | + "sr6" | |
| 238 | + ] | |
| 239 | + }, | |
| 240 | + { | |
| 241 | + "cell_type": "code", | |
| 242 | + "execution_count": null, | |
| 243 | + "id": "2788f969", | |
| 244 | + "metadata": {}, | |
| 245 | + "outputs": [], | |
| 246 | + "source": [] | |
| 247 | + }, | |
| 248 | + { | |
| 249 | + "cell_type": "code", | |
| 250 | + "execution_count": null, | |
| 251 | + "id": "a34ac7f5", | |
| 252 | + "metadata": {}, | |
| 253 | + "outputs": [], | |
| 254 | + "source": [] | |
| 255 | + }, | |
| 256 | + { | |
| 257 | + "cell_type": "code", | |
| 258 | + "execution_count": null, | |
| 259 | + "id": "00e7827e", | |
| 260 | + "metadata": {}, | |
| 261 | + "outputs": [], | |
| 262 | + "source": [] | |
| 263 | + }, | |
| 264 | + { | |
| 265 | + "cell_type": "code", | |
| 266 | + "execution_count": null, | |
| 267 | + "id": "96f6d46f", | |
| 268 | + "metadata": {}, | |
| 269 | + "outputs": [], | |
| 270 | + "source": [] | |
| 271 | + }, | |
| 272 | + { | |
| 273 | + "cell_type": "code", | |
| 274 | + "execution_count": null, | |
| 275 | + "id": "522bccf9", | |
| 276 | + "metadata": {}, | |
| 277 | + "outputs": [], | |
| 278 | + "source": [] | |
| 279 | + }, | |
| 280 | + { | |
| 281 | + "cell_type": "code", | |
| 282 | + "execution_count": 14, | |
| 283 | + "id": "1f41dc16", | |
| 284 | + "metadata": {}, | |
| 285 | + "outputs": [ | |
| 286 | + { | |
| 287 | + "data": { | |
| 288 | + "text/plain": [ | |
| 289 | + "0 80\n", | |
| 290 | + "1 90\n", | |
| 291 | + "2 60\n", | |
| 292 | + "dtype: int64" | |
| 293 | + ] | |
| 294 | + }, | |
| 295 | + "execution_count": 14, | |
| 296 | + "metadata": {}, | |
| 297 | + "output_type": "execute_result" | |
| 298 | + } | |
| 299 | + ], | |
| 300 | + "source": [ | |
| 301 | + "pd.Series([80, 90, 60])" | |
| 302 | + ] | |
| 303 | + }, | |
| 304 | + { | |
| 305 | + "cell_type": "code", | |
| 306 | + "execution_count": 15, | |
| 307 | + "id": "c1fb87da", | |
| 308 | + "metadata": {}, | |
| 309 | + "outputs": [ | |
| 310 | + { | |
| 311 | + "data": { | |
| 312 | + "text/plain": [ | |
| 313 | + "국 80\n", | |
| 314 | + "영 90\n", | |
| 315 | + "수 60\n", | |
| 316 | + "dtype: int64" | |
| 317 | + ] | |
| 318 | + }, | |
| 319 | + "execution_count": 15, | |
| 320 | + "metadata": {}, | |
| 321 | + "output_type": "execute_result" | |
| 322 | + } | |
| 323 | + ], | |
| 324 | + "source": [ | |
| 325 | + "pd.Series([80, 90, 60], index=['국','영', '수'])" | |
| 326 | + ] | |
| 327 | + }, | |
| 328 | + { | |
| 329 | + "cell_type": "code", | |
| 330 | + "execution_count": null, | |
| 331 | + "id": "d57af4fa", | |
| 332 | + "metadata": {}, | |
| 333 | + "outputs": [], | |
| 334 | + "source": [] | |
| 335 | + }, | |
| 336 | + { | |
| 337 | + "cell_type": "code", | |
| 338 | + "execution_count": null, | |
| 339 | + "id": "1dbde3c0", | |
| 340 | + "metadata": {}, | |
| 341 | + "outputs": [], | |
| 342 | + "source": [] | |
| 343 | + }, | |
| 344 | + { | |
| 345 | + "cell_type": "code", | |
| 346 | + "execution_count": null, | |
| 347 | + "id": "873f52ff", | |
| 348 | + "metadata": {}, | |
| 349 | + "outputs": [], | |
| 350 | + "source": [] | |
| 351 | + }, | |
| 352 | + { | |
| 353 | + "cell_type": "code", | |
| 354 | + "execution_count": null, | |
| 355 | + "id": "3e7b5fa9", | |
| 356 | + "metadata": {}, | |
| 357 | + "outputs": [], | |
| 358 | + "source": [] | |
| 359 | + } | |
| 360 | + ], | |
| 361 | + "metadata": { | |
| 362 | + "kernelspec": { | |
| 363 | + "display_name": "Python 3 (ipykernel)", | |
| 364 | + "language": "python", | |
| 365 | + "name": "python3" | |
| 366 | + }, | |
| 367 | + "language_info": { | |
| 368 | + "codemirror_mode": { | |
| 369 | + "name": "ipython", | |
| 370 | + "version": 3 | |
| 371 | + }, | |
| 372 | + "file_extension": ".py", | |
| 373 | + "mimetype": "text/x-python", | |
| 374 | + "name": "python", | |
| 375 | + "nbconvert_exporter": "python", | |
| 376 | + "pygments_lexer": "ipython3", | |
| 377 | + "version": "3.9.7" | |
| 378 | + } | |
| 379 | + }, | |
| 380 | + "nbformat": 4, | |
| 381 | + "nbformat_minor": 5 | |
| 382 | +} |
+++ 20220418/score.csv
... | ... | @@ -0,0 +1,3 @@ |
| 1 | +,1,2,3 | |
| 2 | +middle,89.2,92.5,90.8 | |
| 3 | +final,92.8,89.9,95.2 |
+++ 20220418/score2.csv
... | ... | @@ -0,0 +1,3 @@ |
| 1 | +,1,2,3 | |
| 2 | +middle,89.2,92.5,90.8 | |
| 3 | +final,92.8,89.9,95.2 |
+++ 20220418/score3.csv
... | ... | @@ -0,0 +1,3 @@ |
| 1 | +,1,2,3 | |
| 2 | +middle,89.2,92.5,90.8 | |
| 3 | +final,92.8,89.9,95.2 |
+++ 20220418/score4.csv
... | ... | @@ -0,0 +1,3 @@ |
| 1 | +,1,2,3 | |
| 2 | +middle,89.2,92.5,90.8 | |
| 3 | +final,92.8,89.9,95.2 |
+++ 20220418/score5.csv
... | ... | @@ -0,0 +1,3 @@ |
| 1 | +,1,2,3 | |
| 2 | +middle,89.2,92.5,90.8 | |
| 3 | +final,92.8,89.9,95.2 |
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