├── Lecture_1.ipynb
├── Lecture_2.ipynb
├── Lecture_4.ipynb
├── Lecture_5.ipynb
├── Lecture_6.ipynb
├── Lecture_7.ipynb
├── Lecture_8.ipynb
├── README.md
├── bmw.csv
├── friends.xlsx
├── gre.csv
├── most_runs_in_test_cricket.csv
├── most_runs_in_test_cricket.txt
├── test_cricket.xlsx
└── wickets.csv


/Lecture_1.ipynb:
--------------------------------------------------------------------------------
   1 | {
   2 |  "cells": [
   3 |   {
   4 |    "cell_type": "markdown",
   5 |    "metadata": {},
   6 |    "source": [
   7 |     "# Data Analysis with Python\n",
   8 |     "## Lecture 01: Importing Data with Pandas\n",
   9 |     "<br>Instructor: Md Shahidullah Kawsar\n",
  10 |     "<br>Data Scientist, IDARE, Houston, TX, USA\n",
  11 |     "\n",
  12 |     "**Objectives:**\n",
  13 |     "- challenges of reading a .csv file\n",
  14 |     "- How to deal with UnicodeDecodeError?\n",
  15 |     "- reading a csv file by changing the engine\n",
  16 |     "- choose columns by name before reading a csv file\n",
  17 |     "- choose columns by number before reading a csv file\n",
  18 |     "- reading only the first n number of rows\n",
  19 |     "\n",
  20 |     "**References:**\n",
  21 |     "<br>[1] Data Source: https://stats.espncricinfo.com/ci/content/records/223646.html\n",
  22 |     "<br>[2] https://pandas.pydata.org/docs/reference/api/pandas.read_csv.html\n",
  23 |     "<br>[3] https://docs.python.org/3/library/codecs.html#standard-encodings\n",
  24 |     "<br>[4] https://stackoverflow.com/questions/22216076/unicodedecodeerror-utf8-codec-cant-decode-byte-0xa5-in-position-0-invalid-s"
  25 |    ]
  26 |   },
  27 |   {
  28 |    "cell_type": "markdown",
  29 |    "metadata": {},
  30 |    "source": [
  31 |     "#### Import required libraries"
  32 |    ]
  33 |   },
  34 |   {
  35 |    "cell_type": "code",
  36 |    "execution_count": 49,
  37 |    "metadata": {},
  38 |    "outputs": [],
  39 |    "source": [
  40 |     "import pandas as pd\n",
  41 |     "import numpy as np"
  42 |    ]
  43 |   },
  44 |   {
  45 |    "cell_type": "markdown",
  46 |    "metadata": {},
  47 |    "source": [
  48 |     "#### How to read a csv file?\n",
  49 |     "#### How to deal with UnicodeDecodeError?"
  50 |    ]
  51 |   },
  52 |   {
  53 |    "cell_type": "code",
  54 |    "execution_count": 50,
  55 |    "metadata": {},
  56 |    "outputs": [
  57 |     {
  58 |      "data": {
  59 |       "text/html": [
  60 |        "<div>\n",
  61 |        "<style scoped>\n",
  62 |        "    .dataframe tbody tr th:only-of-type {\n",
  63 |        "        vertical-align: middle;\n",
  64 |        "    }\n",
  65 |        "\n",
  66 |        "    .dataframe tbody tr th {\n",
  67 |        "        vertical-align: top;\n",
  68 |        "    }\n",
  69 |        "\n",
  70 |        "    .dataframe thead th {\n",
  71 |        "        text-align: right;\n",
  72 |        "    }\n",
  73 |        "</style>\n",
  74 |        "<table border=\"1\" class=\"dataframe\">\n",
  75 |        "  <thead>\n",
  76 |        "    <tr style=\"text-align: right;\">\n",
  77 |        "      <th></th>\n",
  78 |        "      <th>Player</th>\n",
  79 |        "      <th>Span</th>\n",
  80 |        "      <th>Mat</th>\n",
  81 |        "      <th>Inns</th>\n",
  82 |        "      <th>NO</th>\n",
  83 |        "      <th>Runs</th>\n",
  84 |        "      <th>HS</th>\n",
  85 |        "      <th>Ave</th>\n",
  86 |        "      <th>100</th>\n",
  87 |        "      <th>50</th>\n",
  88 |        "      <th>0</th>\n",
  89 |        "    </tr>\n",
  90 |        "  </thead>\n",
  91 |        "  <tbody>\n",
  92 |        "    <tr>\n",
  93 |        "      <th>0</th>\n",
  94 |        "      <td>SR Tendulkar (INDIA)</td>\n",
  95 |        "      <td>1989-2013</td>\n",
  96 |        "      <td>200</td>\n",
  97 |        "      <td>329</td>\n",
  98 |        "      <td>33</td>\n",
  99 |        "      <td>15921</td>\n",
 100 |        "      <td>248*</td>\n",
 101 |        "      <td>53.78</td>\n",
 102 |        "      <td>51</td>\n",
 103 |        "      <td>68</td>\n",
 104 |        "      <td>14</td>\n",
 105 |        "    </tr>\n",
 106 |        "    <tr>\n",
 107 |        "      <th>1</th>\n",
 108 |        "      <td>RT Ponting (AUS)</td>\n",
 109 |        "      <td>1995-2012</td>\n",
 110 |        "      <td>168</td>\n",
 111 |        "      <td>287</td>\n",
 112 |        "      <td>29</td>\n",
 113 |        "      <td>13378</td>\n",
 114 |        "      <td>257</td>\n",
 115 |        "      <td>51.85</td>\n",
 116 |        "      <td>41</td>\n",
 117 |        "      <td>62</td>\n",
 118 |        "      <td>17</td>\n",
 119 |        "    </tr>\n",
 120 |        "    <tr>\n",
 121 |        "      <th>2</th>\n",
 122 |        "      <td>JH Kallis (ICC/SA)</td>\n",
 123 |        "      <td>1995-2013</td>\n",
 124 |        "      <td>166</td>\n",
 125 |        "      <td>280</td>\n",
 126 |        "      <td>40</td>\n",
 127 |        "      <td>13289</td>\n",
 128 |        "      <td>224</td>\n",
 129 |        "      <td>55.37</td>\n",
 130 |        "      <td>45</td>\n",
 131 |        "      <td>58</td>\n",
 132 |        "      <td>16</td>\n",
 133 |        "    </tr>\n",
 134 |        "    <tr>\n",
 135 |        "      <th>3</th>\n",
 136 |        "      <td>R Dravid (ICC/INDIA)</td>\n",
 137 |        "      <td>1996-2012</td>\n",
 138 |        "      <td>164</td>\n",
 139 |        "      <td>286</td>\n",
 140 |        "      <td>32</td>\n",
 141 |        "      <td>13288</td>\n",
 142 |        "      <td>270</td>\n",
 143 |        "      <td>52.31</td>\n",
 144 |        "      <td>36</td>\n",
 145 |        "      <td>63</td>\n",
 146 |        "      <td>8</td>\n",
 147 |        "    </tr>\n",
 148 |        "    <tr>\n",
 149 |        "      <th>4</th>\n",
 150 |        "      <td>AN Cook (ENG)</td>\n",
 151 |        "      <td>2006-2018</td>\n",
 152 |        "      <td>161</td>\n",
 153 |        "      <td>291</td>\n",
 154 |        "      <td>16</td>\n",
 155 |        "      <td>12472</td>\n",
 156 |        "      <td>294</td>\n",
 157 |        "      <td>45.35</td>\n",
 158 |        "      <td>33</td>\n",
 159 |        "      <td>57</td>\n",
 160 |        "      <td>9</td>\n",
 161 |        "    </tr>\n",
 162 |        "  </tbody>\n",
 163 |        "</table>\n",
 164 |        "</div>"
 165 |       ],
 166 |       "text/plain": [
 167 |        "                 Player       Span  Mat  Inns  NO   Runs    HS    Ave  100  \\\n",
 168 |        "0  SR Tendulkar (INDIA)  1989-2013  200   329  33  15921  248*  53.78   51   \n",
 169 |        "1      RT Ponting (AUS)  1995-2012  168   287  29  13378   257  51.85   41   \n",
 170 |        "2    JH Kallis (ICC/SA)  1995-2013  166   280  40  13289   224  55.37   45   \n",
 171 |        "3  R Dravid (ICC/INDIA)  1996-2012  164   286  32  13288   270  52.31   36   \n",
 172 |        "4         AN Cook (ENG)  2006-2018  161   291  16  12472   294  45.35   33   \n",
 173 |        "\n",
 174 |        "   50   0  \n",
 175 |        "0  68  14  \n",
 176 |        "1  62  17  \n",
 177 |        "2  58  16  \n",
 178 |        "3  63   8  \n",
 179 |        "4  57   9  "
 180 |       ]
 181 |      },
 182 |      "metadata": {},
 183 |      "output_type": "display_data"
 184 |     },
 185 |     {
 186 |      "name": "stdout",
 187 |      "output_type": "stream",
 188 |      "text": [
 189 |       "(97, 11)\n"
 190 |      ]
 191 |     }
 192 |    ],
 193 |    "source": [
 194 |     "# method 1\n",
 195 |     "# reading a csv file \n",
 196 |     "df = pd.read_csv(\"most_runs_in_test_cricket.csv\", encoding = \"ISO-8859-1\")\n",
 197 |     "\n",
 198 |     "display(df.head())\n",
 199 |     "# print(df.tail())\n",
 200 |     "print(df.shape)"
 201 |    ]
 202 |   },
 203 |   {
 204 |    "cell_type": "code",
 205 |    "execution_count": 51,
 206 |    "metadata": {},
 207 |    "outputs": [
 208 |     {
 209 |      "data": {
 210 |       "text/html": [
 211 |        "<div>\n",
 212 |        "<style scoped>\n",
 213 |        "    .dataframe tbody tr th:only-of-type {\n",
 214 |        "        vertical-align: middle;\n",
 215 |        "    }\n",
 216 |        "\n",
 217 |        "    .dataframe tbody tr th {\n",
 218 |        "        vertical-align: top;\n",
 219 |        "    }\n",
 220 |        "\n",
 221 |        "    .dataframe thead th {\n",
 222 |        "        text-align: right;\n",
 223 |        "    }\n",
 224 |        "</style>\n",
 225 |        "<table border=\"1\" class=\"dataframe\">\n",
 226 |        "  <thead>\n",
 227 |        "    <tr style=\"text-align: right;\">\n",
 228 |        "      <th></th>\n",
 229 |        "      <th>Player</th>\n",
 230 |        "      <th>Span</th>\n",
 231 |        "      <th>Mat</th>\n",
 232 |        "      <th>Inns</th>\n",
 233 |        "      <th>NO</th>\n",
 234 |        "      <th>Runs</th>\n",
 235 |        "      <th>HS</th>\n",
 236 |        "      <th>Ave</th>\n",
 237 |        "      <th>100</th>\n",
 238 |        "      <th>50</th>\n",
 239 |        "      <th>0</th>\n",
 240 |        "    </tr>\n",
 241 |        "  </thead>\n",
 242 |        "  <tbody>\n",
 243 |        "    <tr>\n",
 244 |        "      <th>0</th>\n",
 245 |        "      <td>SR Tendulkar (INDIA)</td>\n",
 246 |        "      <td>1989-2013</td>\n",
 247 |        "      <td>200</td>\n",
 248 |        "      <td>329</td>\n",
 249 |        "      <td>33</td>\n",
 250 |        "      <td>15921</td>\n",
 251 |        "      <td>248*</td>\n",
 252 |        "      <td>53.78</td>\n",
 253 |        "      <td>51</td>\n",
 254 |        "      <td>68</td>\n",
 255 |        "      <td>14</td>\n",
 256 |        "    </tr>\n",
 257 |        "    <tr>\n",
 258 |        "      <th>1</th>\n",
 259 |        "      <td>RT Ponting (AUS)</td>\n",
 260 |        "      <td>1995-2012</td>\n",
 261 |        "      <td>168</td>\n",
 262 |        "      <td>287</td>\n",
 263 |        "      <td>29</td>\n",
 264 |        "      <td>13378</td>\n",
 265 |        "      <td>257</td>\n",
 266 |        "      <td>51.85</td>\n",
 267 |        "      <td>41</td>\n",
 268 |        "      <td>62</td>\n",
 269 |        "      <td>17</td>\n",
 270 |        "    </tr>\n",
 271 |        "    <tr>\n",
 272 |        "      <th>2</th>\n",
 273 |        "      <td>JH Kallis (ICC/SA)</td>\n",
 274 |        "      <td>1995-2013</td>\n",
 275 |        "      <td>166</td>\n",
 276 |        "      <td>280</td>\n",
 277 |        "      <td>40</td>\n",
 278 |        "      <td>13289</td>\n",
 279 |        "      <td>224</td>\n",
 280 |        "      <td>55.37</td>\n",
 281 |        "      <td>45</td>\n",
 282 |        "      <td>58</td>\n",
 283 |        "      <td>16</td>\n",
 284 |        "    </tr>\n",
 285 |        "    <tr>\n",
 286 |        "      <th>3</th>\n",
 287 |        "      <td>R Dravid (ICC/INDIA)</td>\n",
 288 |        "      <td>1996-2012</td>\n",
 289 |        "      <td>164</td>\n",
 290 |        "      <td>286</td>\n",
 291 |        "      <td>32</td>\n",
 292 |        "      <td>13288</td>\n",
 293 |        "      <td>270</td>\n",
 294 |        "      <td>52.31</td>\n",
 295 |        "      <td>36</td>\n",
 296 |        "      <td>63</td>\n",
 297 |        "      <td>8</td>\n",
 298 |        "    </tr>\n",
 299 |        "    <tr>\n",
 300 |        "      <th>4</th>\n",
 301 |        "      <td>AN Cook (ENG)</td>\n",
 302 |        "      <td>2006-2018</td>\n",
 303 |        "      <td>161</td>\n",
 304 |        "      <td>291</td>\n",
 305 |        "      <td>16</td>\n",
 306 |        "      <td>12472</td>\n",
 307 |        "      <td>294</td>\n",
 308 |        "      <td>45.35</td>\n",
 309 |        "      <td>33</td>\n",
 310 |        "      <td>57</td>\n",
 311 |        "      <td>9</td>\n",
 312 |        "    </tr>\n",
 313 |        "  </tbody>\n",
 314 |        "</table>\n",
 315 |        "</div>"
 316 |       ],
 317 |       "text/plain": [
 318 |        "                 Player       Span  Mat  Inns  NO   Runs    HS    Ave  100  \\\n",
 319 |        "0  SR Tendulkar (INDIA)  1989-2013  200   329  33  15921  248*  53.78   51   \n",
 320 |        "1      RT Ponting (AUS)  1995-2012  168   287  29  13378   257  51.85   41   \n",
 321 |        "2    JH Kallis (ICC/SA)  1995-2013  166   280  40  13289   224  55.37   45   \n",
 322 |        "3  R Dravid (ICC/INDIA)  1996-2012  164   286  32  13288   270  52.31   36   \n",
 323 |        "4         AN Cook (ENG)  2006-2018  161   291  16  12472   294  45.35   33   \n",
 324 |        "\n",
 325 |        "   50   0  \n",
 326 |        "0  68  14  \n",
 327 |        "1  62  17  \n",
 328 |        "2  58  16  \n",
 329 |        "3  63   8  \n",
 330 |        "4  57   9  "
 331 |       ]
 332 |      },
 333 |      "metadata": {},
 334 |      "output_type": "display_data"
 335 |     }
 336 |    ],
 337 |    "source": [
 338 |     "# method 2\n",
 339 |     "df = pd.read_csv(\"most_runs_in_test_cricket.csv\", encoding = 'unicode_escape')\n",
 340 |     "\n",
 341 |     "display(df.head())"
 342 |    ]
 343 |   },
 344 |   {
 345 |    "cell_type": "code",
 346 |    "execution_count": 52,
 347 |    "metadata": {},
 348 |    "outputs": [
 349 |     {
 350 |      "data": {
 351 |       "text/html": [
 352 |        "<div>\n",
 353 |        "<style scoped>\n",
 354 |        "    .dataframe tbody tr th:only-of-type {\n",
 355 |        "        vertical-align: middle;\n",
 356 |        "    }\n",
 357 |        "\n",
 358 |        "    .dataframe tbody tr th {\n",
 359 |        "        vertical-align: top;\n",
 360 |        "    }\n",
 361 |        "\n",
 362 |        "    .dataframe thead th {\n",
 363 |        "        text-align: right;\n",
 364 |        "    }\n",
 365 |        "</style>\n",
 366 |        "<table border=\"1\" class=\"dataframe\">\n",
 367 |        "  <thead>\n",
 368 |        "    <tr style=\"text-align: right;\">\n",
 369 |        "      <th></th>\n",
 370 |        "      <th>Player</th>\n",
 371 |        "      <th>Span</th>\n",
 372 |        "      <th>Mat</th>\n",
 373 |        "      <th>Inns</th>\n",
 374 |        "      <th>NO</th>\n",
 375 |        "      <th>Runs</th>\n",
 376 |        "      <th>HS</th>\n",
 377 |        "      <th>Ave</th>\n",
 378 |        "      <th>100</th>\n",
 379 |        "      <th>50</th>\n",
 380 |        "      <th>0</th>\n",
 381 |        "    </tr>\n",
 382 |        "  </thead>\n",
 383 |        "  <tbody>\n",
 384 |        "    <tr>\n",
 385 |        "      <th>0</th>\n",
 386 |        "      <td>SR Tendulkar (INDIA)</td>\n",
 387 |        "      <td>1989-2013</td>\n",
 388 |        "      <td>200</td>\n",
 389 |        "      <td>329</td>\n",
 390 |        "      <td>33</td>\n",
 391 |        "      <td>15921</td>\n",
 392 |        "      <td>248*</td>\n",
 393 |        "      <td>53.78</td>\n",
 394 |        "      <td>51</td>\n",
 395 |        "      <td>68</td>\n",
 396 |        "      <td>14</td>\n",
 397 |        "    </tr>\n",
 398 |        "    <tr>\n",
 399 |        "      <th>1</th>\n",
 400 |        "      <td>RT Ponting (AUS)</td>\n",
 401 |        "      <td>1995-2012</td>\n",
 402 |        "      <td>168</td>\n",
 403 |        "      <td>287</td>\n",
 404 |        "      <td>29</td>\n",
 405 |        "      <td>13378</td>\n",
 406 |        "      <td>257</td>\n",
 407 |        "      <td>51.85</td>\n",
 408 |        "      <td>41</td>\n",
 409 |        "      <td>62</td>\n",
 410 |        "      <td>17</td>\n",
 411 |        "    </tr>\n",
 412 |        "    <tr>\n",
 413 |        "      <th>2</th>\n",
 414 |        "      <td>JH Kallis (ICC/SA)</td>\n",
 415 |        "      <td>1995-2013</td>\n",
 416 |        "      <td>166</td>\n",
 417 |        "      <td>280</td>\n",
 418 |        "      <td>40</td>\n",
 419 |        "      <td>13289</td>\n",
 420 |        "      <td>224</td>\n",
 421 |        "      <td>55.37</td>\n",
 422 |        "      <td>45</td>\n",
 423 |        "      <td>58</td>\n",
 424 |        "      <td>16</td>\n",
 425 |        "    </tr>\n",
 426 |        "    <tr>\n",
 427 |        "      <th>3</th>\n",
 428 |        "      <td>R Dravid (ICC/INDIA)</td>\n",
 429 |        "      <td>1996-2012</td>\n",
 430 |        "      <td>164</td>\n",
 431 |        "      <td>286</td>\n",
 432 |        "      <td>32</td>\n",
 433 |        "      <td>13288</td>\n",
 434 |        "      <td>270</td>\n",
 435 |        "      <td>52.31</td>\n",
 436 |        "      <td>36</td>\n",
 437 |        "      <td>63</td>\n",
 438 |        "      <td>8</td>\n",
 439 |        "    </tr>\n",
 440 |        "    <tr>\n",
 441 |        "      <th>4</th>\n",
 442 |        "      <td>AN Cook (ENG)</td>\n",
 443 |        "      <td>2006-2018</td>\n",
 444 |        "      <td>161</td>\n",
 445 |        "      <td>291</td>\n",
 446 |        "      <td>16</td>\n",
 447 |        "      <td>12472</td>\n",
 448 |        "      <td>294</td>\n",
 449 |        "      <td>45.35</td>\n",
 450 |        "      <td>33</td>\n",
 451 |        "      <td>57</td>\n",
 452 |        "      <td>9</td>\n",
 453 |        "    </tr>\n",
 454 |        "  </tbody>\n",
 455 |        "</table>\n",
 456 |        "</div>"
 457 |       ],
 458 |       "text/plain": [
 459 |        "                 Player       Span  Mat  Inns  NO   Runs    HS    Ave  100  \\\n",
 460 |        "0  SR Tendulkar (INDIA)  1989-2013  200   329  33  15921  248*  53.78   51   \n",
 461 |        "1      RT Ponting (AUS)  1995-2012  168   287  29  13378   257  51.85   41   \n",
 462 |        "2    JH Kallis (ICC/SA)  1995-2013  166   280  40  13289   224  55.37   45   \n",
 463 |        "3  R Dravid (ICC/INDIA)  1996-2012  164   286  32  13288   270  52.31   36   \n",
 464 |        "4         AN Cook (ENG)  2006-2018  161   291  16  12472   294  45.35   33   \n",
 465 |        "\n",
 466 |        "   50   0  \n",
 467 |        "0  68  14  \n",
 468 |        "1  62  17  \n",
 469 |        "2  58  16  \n",
 470 |        "3  63   8  \n",
 471 |        "4  57   9  "
 472 |       ]
 473 |      },
 474 |      "metadata": {},
 475 |      "output_type": "display_data"
 476 |     }
 477 |    ],
 478 |    "source": [
 479 |     "# method 3\n",
 480 |     "# reading a csv file by changing the engine\n",
 481 |     "df = pd.read_csv(\"most_runs_in_test_cricket.csv\", engine = 'python')\n",
 482 |     "\n",
 483 |     "# removing the weird \"�\" symbol from the 'Player' column\n",
 484 |     "df['Player'] = df['Player'].str.replace(\"�\", \" \")\n",
 485 |     "display(df.head())"
 486 |    ]
 487 |   },
 488 |   {
 489 |    "cell_type": "code",
 490 |    "execution_count": 53,
 491 |    "metadata": {},
 492 |    "outputs": [
 493 |     {
 494 |      "name": "stdout",
 495 |      "output_type": "stream",
 496 |      "text": [
 497 |       "number of rows =  97\n",
 498 |       "number of columns =  11\n"
 499 |      ]
 500 |     }
 501 |    ],
 502 |    "source": [
 503 |     "# number of rows\n",
 504 |     "print(\"number of rows = \", df.shape[0])\n",
 505 |     "\n",
 506 |     "# number of columns\n",
 507 |     "print(\"number of columns = \", df.shape[1])"
 508 |    ]
 509 |   },
 510 |   {
 511 |    "cell_type": "code",
 512 |    "execution_count": 54,
 513 |    "metadata": {},
 514 |    "outputs": [
 515 |     {
 516 |      "name": "stdout",
 517 |      "output_type": "stream",
 518 |      "text": [
 519 |       "<class 'pandas.core.frame.DataFrame'>\n",
 520 |       "RangeIndex: 97 entries, 0 to 96\n",
 521 |       "Data columns (total 11 columns):\n",
 522 |       " #   Column  Non-Null Count  Dtype  \n",
 523 |       "---  ------  --------------  -----  \n",
 524 |       " 0   Player  97 non-null     object \n",
 525 |       " 1   Span    97 non-null     object \n",
 526 |       " 2   Mat     97 non-null     int64  \n",
 527 |       " 3   Inns    97 non-null     int64  \n",
 528 |       " 4   NO      97 non-null     int64  \n",
 529 |       " 5   Runs    97 non-null     int64  \n",
 530 |       " 6   HS      97 non-null     object \n",
 531 |       " 7   Ave     97 non-null     float64\n",
 532 |       " 8   100     97 non-null     int64  \n",
 533 |       " 9   50      97 non-null     int64  \n",
 534 |       " 10  0       97 non-null     int64  \n",
 535 |       "dtypes: float64(1), int64(7), object(3)\n",
 536 |       "memory usage: 8.5+ KB\n",
 537 |       "None\n"
 538 |      ]
 539 |     }
 540 |    ],
 541 |    "source": [
 542 |     "# checking for missing values and data types of each column\n",
 543 |     "print(df.info())"
 544 |    ]
 545 |   },
 546 |   {
 547 |    "cell_type": "code",
 548 |    "execution_count": 55,
 549 |    "metadata": {},
 550 |    "outputs": [
 551 |     {
 552 |      "data": {
 553 |       "text/html": [
 554 |        "<div>\n",
 555 |        "<style scoped>\n",
 556 |        "    .dataframe tbody tr th:only-of-type {\n",
 557 |        "        vertical-align: middle;\n",
 558 |        "    }\n",
 559 |        "\n",
 560 |        "    .dataframe tbody tr th {\n",
 561 |        "        vertical-align: top;\n",
 562 |        "    }\n",
 563 |        "\n",
 564 |        "    .dataframe thead th {\n",
 565 |        "        text-align: right;\n",
 566 |        "    }\n",
 567 |        "</style>\n",
 568 |        "<table border=\"1\" class=\"dataframe\">\n",
 569 |        "  <thead>\n",
 570 |        "    <tr style=\"text-align: right;\">\n",
 571 |        "      <th></th>\n",
 572 |        "      <th>Mat</th>\n",
 573 |        "      <th>Inns</th>\n",
 574 |        "      <th>NO</th>\n",
 575 |        "      <th>Runs</th>\n",
 576 |        "      <th>Ave</th>\n",
 577 |        "      <th>100</th>\n",
 578 |        "      <th>50</th>\n",
 579 |        "      <th>0</th>\n",
 580 |        "    </tr>\n",
 581 |        "  </thead>\n",
 582 |        "  <tbody>\n",
 583 |        "    <tr>\n",
 584 |        "      <th>count</th>\n",
 585 |        "      <td>97.000000</td>\n",
 586 |        "      <td>97.000000</td>\n",
 587 |        "      <td>97.000000</td>\n",
 588 |        "      <td>97.000000</td>\n",
 589 |        "      <td>97.000000</td>\n",
 590 |        "      <td>97.000000</td>\n",
 591 |        "      <td>97.000000</td>\n",
 592 |        "      <td>97.000000</td>\n",
 593 |        "    </tr>\n",
 594 |        "    <tr>\n",
 595 |        "      <th>mean</th>\n",
 596 |        "      <td>104.979381</td>\n",
 597 |        "      <td>178.752577</td>\n",
 598 |        "      <td>16.051546</td>\n",
 599 |        "      <td>7574.175258</td>\n",
 600 |        "      <td>46.781031</td>\n",
 601 |        "      <td>20.546392</td>\n",
 602 |        "      <td>35.474227</td>\n",
 603 |        "      <td>11.329897</td>\n",
 604 |        "    </tr>\n",
 605 |        "    <tr>\n",
 606 |        "      <th>std</th>\n",
 607 |        "      <td>27.064729</td>\n",
 608 |        "      <td>44.963418</td>\n",
 609 |        "      <td>8.754012</td>\n",
 610 |        "      <td>2224.255278</td>\n",
 611 |        "      <td>8.168268</td>\n",
 612 |        "      <td>8.226001</td>\n",
 613 |        "      <td>11.499178</td>\n",
 614 |        "      <td>4.147594</td>\n",
 615 |        "    </tr>\n",
 616 |        "    <tr>\n",
 617 |        "      <th>min</th>\n",
 618 |        "      <td>52.000000</td>\n",
 619 |        "      <td>80.000000</td>\n",
 620 |        "      <td>5.000000</td>\n",
 621 |        "      <td>5062.000000</td>\n",
 622 |        "      <td>30.300000</td>\n",
 623 |        "      <td>4.000000</td>\n",
 624 |        "      <td>13.000000</td>\n",
 625 |        "      <td>2.000000</td>\n",
 626 |        "    </tr>\n",
 627 |        "    <tr>\n",
 628 |        "      <th>25%</th>\n",
 629 |        "      <td>86.000000</td>\n",
 630 |        "      <td>146.000000</td>\n",
 631 |        "      <td>10.000000</td>\n",
 632 |        "      <td>5825.000000</td>\n",
 633 |        "      <td>42.290000</td>\n",
 634 |        "      <td>15.000000</td>\n",
 635 |        "      <td>27.000000</td>\n",
 636 |        "      <td>9.000000</td>\n",
 637 |        "    </tr>\n",
 638 |        "    <tr>\n",
 639 |        "      <th>50%</th>\n",
 640 |        "      <td>102.000000</td>\n",
 641 |        "      <td>176.000000</td>\n",
 642 |        "      <td>15.000000</td>\n",
 643 |        "      <td>7214.000000</td>\n",
 644 |        "      <td>45.840000</td>\n",
 645 |        "      <td>19.000000</td>\n",
 646 |        "      <td>33.000000</td>\n",
 647 |        "      <td>11.000000</td>\n",
 648 |        "    </tr>\n",
 649 |        "    <tr>\n",
 650 |        "      <th>75%</th>\n",
 651 |        "      <td>117.000000</td>\n",
 652 |        "      <td>200.000000</td>\n",
 653 |        "      <td>20.000000</td>\n",
 654 |        "      <td>8540.000000</td>\n",
 655 |        "      <td>50.660000</td>\n",
 656 |        "      <td>24.000000</td>\n",
 657 |        "      <td>42.000000</td>\n",
 658 |        "      <td>14.000000</td>\n",
 659 |        "    </tr>\n",
 660 |        "    <tr>\n",
 661 |        "      <th>max</th>\n",
 662 |        "      <td>200.000000</td>\n",
 663 |        "      <td>329.000000</td>\n",
 664 |        "      <td>49.000000</td>\n",
 665 |        "      <td>15921.000000</td>\n",
 666 |        "      <td>99.940000</td>\n",
 667 |        "      <td>51.000000</td>\n",
 668 |        "      <td>68.000000</td>\n",
 669 |        "      <td>22.000000</td>\n",
 670 |        "    </tr>\n",
 671 |        "  </tbody>\n",
 672 |        "</table>\n",
 673 |        "</div>"
 674 |       ],
 675 |       "text/plain": [
 676 |        "              Mat        Inns         NO          Runs        Ave        100  \\\n",
 677 |        "count   97.000000   97.000000  97.000000     97.000000  97.000000  97.000000   \n",
 678 |        "mean   104.979381  178.752577  16.051546   7574.175258  46.781031  20.546392   \n",
 679 |        "std     27.064729   44.963418   8.754012   2224.255278   8.168268   8.226001   \n",
 680 |        "min     52.000000   80.000000   5.000000   5062.000000  30.300000   4.000000   \n",
 681 |        "25%     86.000000  146.000000  10.000000   5825.000000  42.290000  15.000000   \n",
 682 |        "50%    102.000000  176.000000  15.000000   7214.000000  45.840000  19.000000   \n",
 683 |        "75%    117.000000  200.000000  20.000000   8540.000000  50.660000  24.000000   \n",
 684 |        "max    200.000000  329.000000  49.000000  15921.000000  99.940000  51.000000   \n",
 685 |        "\n",
 686 |        "              50          0  \n",
 687 |        "count  97.000000  97.000000  \n",
 688 |        "mean   35.474227  11.329897  \n",
 689 |        "std    11.499178   4.147594  \n",
 690 |        "min    13.000000   2.000000  \n",
 691 |        "25%    27.000000   9.000000  \n",
 692 |        "50%    33.000000  11.000000  \n",
 693 |        "75%    42.000000  14.000000  \n",
 694 |        "max    68.000000  22.000000  "
 695 |       ]
 696 |      },
 697 |      "metadata": {},
 698 |      "output_type": "display_data"
 699 |     }
 700 |    ],
 701 |    "source": [
 702 |     "# checking data statistics\n",
 703 |     "display(df.describe())"
 704 |    ]
 705 |   },
 706 |   {
 707 |    "cell_type": "code",
 708 |    "execution_count": 56,
 709 |    "metadata": {},
 710 |    "outputs": [
 711 |     {
 712 |      "name": "stdout",
 713 |      "output_type": "stream",
 714 |      "text": [
 715 |       "Index(['Player', 'Span', 'Mat', 'Inns', 'NO', 'Runs', 'HS', 'Ave', '100', '50',\n",
 716 |       "       '0'],\n",
 717 |       "      dtype='object')\n"
 718 |      ]
 719 |     }
 720 |    ],
 721 |    "source": [
 722 |     "# column names\n",
 723 |     "print(df.columns)"
 724 |    ]
 725 |   },
 726 |   {
 727 |    "cell_type": "markdown",
 728 |    "metadata": {},
 729 |    "source": [
 730 |     "#### choose columns by name to read a csv file"
 731 |    ]
 732 |   },
 733 |   {
 734 |    "cell_type": "code",
 735 |    "execution_count": 57,
 736 |    "metadata": {},
 737 |    "outputs": [
 738 |     {
 739 |      "data": {
 740 |       "text/html": [
 741 |        "<div>\n",
 742 |        "<style scoped>\n",
 743 |        "    .dataframe tbody tr th:only-of-type {\n",
 744 |        "        vertical-align: middle;\n",
 745 |        "    }\n",
 746 |        "\n",
 747 |        "    .dataframe tbody tr th {\n",
 748 |        "        vertical-align: top;\n",
 749 |        "    }\n",
 750 |        "\n",
 751 |        "    .dataframe thead th {\n",
 752 |        "        text-align: right;\n",
 753 |        "    }\n",
 754 |        "</style>\n",
 755 |        "<table border=\"1\" class=\"dataframe\">\n",
 756 |        "  <thead>\n",
 757 |        "    <tr style=\"text-align: right;\">\n",
 758 |        "      <th></th>\n",
 759 |        "      <th>Player</th>\n",
 760 |        "      <th>Mat</th>\n",
 761 |        "      <th>Runs</th>\n",
 762 |        "      <th>100</th>\n",
 763 |        "    </tr>\n",
 764 |        "  </thead>\n",
 765 |        "  <tbody>\n",
 766 |        "    <tr>\n",
 767 |        "      <th>0</th>\n",
 768 |        "      <td>SR Tendulkar (INDIA)</td>\n",
 769 |        "      <td>200</td>\n",
 770 |        "      <td>15921</td>\n",
 771 |        "      <td>51</td>\n",
 772 |        "    </tr>\n",
 773 |        "    <tr>\n",
 774 |        "      <th>1</th>\n",
 775 |        "      <td>RT Ponting (AUS)</td>\n",
 776 |        "      <td>168</td>\n",
 777 |        "      <td>13378</td>\n",
 778 |        "      <td>41</td>\n",
 779 |        "    </tr>\n",
 780 |        "    <tr>\n",
 781 |        "      <th>2</th>\n",
 782 |        "      <td>JH Kallis (ICC/SA)</td>\n",
 783 |        "      <td>166</td>\n",
 784 |        "      <td>13289</td>\n",
 785 |        "      <td>45</td>\n",
 786 |        "    </tr>\n",
 787 |        "    <tr>\n",
 788 |        "      <th>3</th>\n",
 789 |        "      <td>R Dravid (ICC/INDIA)</td>\n",
 790 |        "      <td>164</td>\n",
 791 |        "      <td>13288</td>\n",
 792 |        "      <td>36</td>\n",
 793 |        "    </tr>\n",
 794 |        "    <tr>\n",
 795 |        "      <th>4</th>\n",
 796 |        "      <td>AN Cook (ENG)</td>\n",
 797 |        "      <td>161</td>\n",
 798 |        "      <td>12472</td>\n",
 799 |        "      <td>33</td>\n",
 800 |        "    </tr>\n",
 801 |        "    <tr>\n",
 802 |        "      <th>5</th>\n",
 803 |        "      <td>KC Sangakkara (SL)</td>\n",
 804 |        "      <td>134</td>\n",
 805 |        "      <td>12400</td>\n",
 806 |        "      <td>38</td>\n",
 807 |        "    </tr>\n",
 808 |        "    <tr>\n",
 809 |        "      <th>6</th>\n",
 810 |        "      <td>BC Lara (ICC/WI)</td>\n",
 811 |        "      <td>131</td>\n",
 812 |        "      <td>11953</td>\n",
 813 |        "      <td>34</td>\n",
 814 |        "    </tr>\n",
 815 |        "    <tr>\n",
 816 |        "      <th>7</th>\n",
 817 |        "      <td>S Chanderpaul (WI)</td>\n",
 818 |        "      <td>164</td>\n",
 819 |        "      <td>11867</td>\n",
 820 |        "      <td>30</td>\n",
 821 |        "    </tr>\n",
 822 |        "    <tr>\n",
 823 |        "      <th>8</th>\n",
 824 |        "      <td>DPMD Jayawardene (SL)</td>\n",
 825 |        "      <td>149</td>\n",
 826 |        "      <td>11814</td>\n",
 827 |        "      <td>34</td>\n",
 828 |        "    </tr>\n",
 829 |        "    <tr>\n",
 830 |        "      <th>9</th>\n",
 831 |        "      <td>AR Border (AUS)</td>\n",
 832 |        "      <td>156</td>\n",
 833 |        "      <td>11174</td>\n",
 834 |        "      <td>27</td>\n",
 835 |        "    </tr>\n",
 836 |        "  </tbody>\n",
 837 |        "</table>\n",
 838 |        "</div>"
 839 |       ],
 840 |       "text/plain": [
 841 |        "                  Player  Mat   Runs  100\n",
 842 |        "0   SR Tendulkar (INDIA)  200  15921   51\n",
 843 |        "1       RT Ponting (AUS)  168  13378   41\n",
 844 |        "2     JH Kallis (ICC/SA)  166  13289   45\n",
 845 |        "3   R Dravid (ICC/INDIA)  164  13288   36\n",
 846 |        "4          AN Cook (ENG)  161  12472   33\n",
 847 |        "5     KC Sangakkara (SL)  134  12400   38\n",
 848 |        "6       BC Lara (ICC/WI)  131  11953   34\n",
 849 |        "7     S Chanderpaul (WI)  164  11867   30\n",
 850 |        "8  DPMD Jayawardene (SL)  149  11814   34\n",
 851 |        "9        AR Border (AUS)  156  11174   27"
 852 |       ]
 853 |      },
 854 |      "metadata": {},
 855 |      "output_type": "display_data"
 856 |     }
 857 |    ],
 858 |    "source": [
 859 |     "col_names = ['Player', 'Mat', 'Runs', '100']\n",
 860 |     "df_usecols = pd.read_csv(\"most_runs_in_test_cricket.csv\", encoding = 'unicode_escape', usecols=col_names)\n",
 861 |     "\n",
 862 |     "display(df_usecols.head(10))"
 863 |    ]
 864 |   },
 865 |   {
 866 |    "cell_type": "code",
 867 |    "execution_count": 58,
 868 |    "metadata": {},
 869 |    "outputs": [
 870 |     {
 871 |      "name": "stdout",
 872 |      "output_type": "stream",
 873 |      "text": [
 874 |       "(97, 11)\n",
 875 |       "(97, 4)\n"
 876 |      ]
 877 |     }
 878 |    ],
 879 |    "source": [
 880 |     "print(df.shape)\n",
 881 |     "\n",
 882 |     "# selecting columns after data importing\n",
 883 |     "df = df[col_names]\n",
 884 |     "\n",
 885 |     "print(df.shape)"
 886 |    ]
 887 |   },
 888 |   {
 889 |    "cell_type": "markdown",
 890 |    "metadata": {},
 891 |    "source": [
 892 |     "#### choose columns by number to read a csv file"
 893 |    ]
 894 |   },
 895 |   {
 896 |    "cell_type": "code",
 897 |    "execution_count": 59,
 898 |    "metadata": {},
 899 |    "outputs": [
 900 |     {
 901 |      "data": {
 902 |       "text/html": [
 903 |        "<div>\n",
 904 |        "<style scoped>\n",
 905 |        "    .dataframe tbody tr th:only-of-type {\n",
 906 |        "        vertical-align: middle;\n",
 907 |        "    }\n",
 908 |        "\n",
 909 |        "    .dataframe tbody tr th {\n",
 910 |        "        vertical-align: top;\n",
 911 |        "    }\n",
 912 |        "\n",
 913 |        "    .dataframe thead th {\n",
 914 |        "        text-align: right;\n",
 915 |        "    }\n",
 916 |        "</style>\n",
 917 |        "<table border=\"1\" class=\"dataframe\">\n",
 918 |        "  <thead>\n",
 919 |        "    <tr style=\"text-align: right;\">\n",
 920 |        "      <th></th>\n",
 921 |        "      <th>Player</th>\n",
 922 |        "      <th>Mat</th>\n",
 923 |        "      <th>Runs</th>\n",
 924 |        "      <th>100</th>\n",
 925 |        "    </tr>\n",
 926 |        "  </thead>\n",
 927 |        "  <tbody>\n",
 928 |        "    <tr>\n",
 929 |        "      <th>0</th>\n",
 930 |        "      <td>SR Tendulkar (INDIA)</td>\n",
 931 |        "      <td>200</td>\n",
 932 |        "      <td>15921</td>\n",
 933 |        "      <td>51</td>\n",
 934 |        "    </tr>\n",
 935 |        "    <tr>\n",
 936 |        "      <th>1</th>\n",
 937 |        "      <td>RT Ponting (AUS)</td>\n",
 938 |        "      <td>168</td>\n",
 939 |        "      <td>13378</td>\n",
 940 |        "      <td>41</td>\n",
 941 |        "    </tr>\n",
 942 |        "    <tr>\n",
 943 |        "      <th>2</th>\n",
 944 |        "      <td>JH Kallis (ICC/SA)</td>\n",
 945 |        "      <td>166</td>\n",
 946 |        "      <td>13289</td>\n",
 947 |        "      <td>45</td>\n",
 948 |        "    </tr>\n",
 949 |        "    <tr>\n",
 950 |        "      <th>3</th>\n",
 951 |        "      <td>R Dravid (ICC/INDIA)</td>\n",
 952 |        "      <td>164</td>\n",
 953 |        "      <td>13288</td>\n",
 954 |        "      <td>36</td>\n",
 955 |        "    </tr>\n",
 956 |        "    <tr>\n",
 957 |        "      <th>4</th>\n",
 958 |        "      <td>AN Cook (ENG)</td>\n",
 959 |        "      <td>161</td>\n",
 960 |        "      <td>12472</td>\n",
 961 |        "      <td>33</td>\n",
 962 |        "    </tr>\n",
 963 |        "    <tr>\n",
 964 |        "      <th>5</th>\n",
 965 |        "      <td>KC Sangakkara (SL)</td>\n",
 966 |        "      <td>134</td>\n",
 967 |        "      <td>12400</td>\n",
 968 |        "      <td>38</td>\n",
 969 |        "    </tr>\n",
 970 |        "    <tr>\n",
 971 |        "      <th>6</th>\n",
 972 |        "      <td>BC Lara (ICC/WI)</td>\n",
 973 |        "      <td>131</td>\n",
 974 |        "      <td>11953</td>\n",
 975 |        "      <td>34</td>\n",
 976 |        "    </tr>\n",
 977 |        "    <tr>\n",
 978 |        "      <th>7</th>\n",
 979 |        "      <td>S Chanderpaul (WI)</td>\n",
 980 |        "      <td>164</td>\n",
 981 |        "      <td>11867</td>\n",
 982 |        "      <td>30</td>\n",
 983 |        "    </tr>\n",
 984 |        "    <tr>\n",
 985 |        "      <th>8</th>\n",
 986 |        "      <td>DPMD Jayawardene (SL)</td>\n",
 987 |        "      <td>149</td>\n",
 988 |        "      <td>11814</td>\n",
 989 |        "      <td>34</td>\n",
 990 |        "    </tr>\n",
 991 |        "    <tr>\n",
 992 |        "      <th>9</th>\n",
 993 |        "      <td>AR Border (AUS)</td>\n",
 994 |        "      <td>156</td>\n",
 995 |        "      <td>11174</td>\n",
 996 |        "      <td>27</td>\n",
 997 |        "    </tr>\n",
 998 |        "  </tbody>\n",
 999 |        "</table>\n",
1000 |        "</div>"
1001 |       ],
1002 |       "text/plain": [
1003 |        "                  Player  Mat   Runs  100\n",
1004 |        "0   SR Tendulkar (INDIA)  200  15921   51\n",
1005 |        "1       RT Ponting (AUS)  168  13378   41\n",
1006 |        "2     JH Kallis (ICC/SA)  166  13289   45\n",
1007 |        "3   R Dravid (ICC/INDIA)  164  13288   36\n",
1008 |        "4          AN Cook (ENG)  161  12472   33\n",
1009 |        "5     KC Sangakkara (SL)  134  12400   38\n",
1010 |        "6       BC Lara (ICC/WI)  131  11953   34\n",
1011 |        "7     S Chanderpaul (WI)  164  11867   30\n",
1012 |        "8  DPMD Jayawardene (SL)  149  11814   34\n",
1013 |        "9        AR Border (AUS)  156  11174   27"
1014 |       ]
1015 |      },
1016 |      "metadata": {},
1017 |      "output_type": "display_data"
1018 |     },
1019 |     {
1020 |      "name": "stdout",
1021 |      "output_type": "stream",
1022 |      "text": [
1023 |       "(97, 4)\n"
1024 |      ]
1025 |     }
1026 |    ],
1027 |    "source": [
1028 |     "col_nums = [0, 2, 5, 8]\n",
1029 |     "df_usecols_index = pd.read_csv(\"most_runs_in_test_cricket.csv\", encoding = 'unicode_escape', usecols=col_nums)\n",
1030 |     "\n",
1031 |     "display(df_usecols_index.head(10))\n",
1032 |     "print(df_usecols_index.shape)"
1033 |    ]
1034 |   },
1035 |   {
1036 |    "cell_type": "markdown",
1037 |    "metadata": {},
1038 |    "source": [
1039 |     "#### reading only the first n number of rows"
1040 |    ]
1041 |   },
1042 |   {
1043 |    "cell_type": "code",
1044 |    "execution_count": 60,
1045 |    "metadata": {},
1046 |    "outputs": [
1047 |     {
1048 |      "data": {
1049 |       "text/html": [
1050 |        "<div>\n",
1051 |        "<style scoped>\n",
1052 |        "    .dataframe tbody tr th:only-of-type {\n",
1053 |        "        vertical-align: middle;\n",
1054 |        "    }\n",
1055 |        "\n",
1056 |        "    .dataframe tbody tr th {\n",
1057 |        "        vertical-align: top;\n",
1058 |        "    }\n",
1059 |        "\n",
1060 |        "    .dataframe thead th {\n",
1061 |        "        text-align: right;\n",
1062 |        "    }\n",
1063 |        "</style>\n",
1064 |        "<table border=\"1\" class=\"dataframe\">\n",
1065 |        "  <thead>\n",
1066 |        "    <tr style=\"text-align: right;\">\n",
1067 |        "      <th></th>\n",
1068 |        "      <th>Player</th>\n",
1069 |        "      <th>Span</th>\n",
1070 |        "      <th>Mat</th>\n",
1071 |        "      <th>Inns</th>\n",
1072 |        "      <th>NO</th>\n",
1073 |        "      <th>Runs</th>\n",
1074 |        "      <th>HS</th>\n",
1075 |        "      <th>Ave</th>\n",
1076 |        "      <th>100</th>\n",
1077 |        "      <th>50</th>\n",
1078 |        "      <th>0</th>\n",
1079 |        "    </tr>\n",
1080 |        "  </thead>\n",
1081 |        "  <tbody>\n",
1082 |        "    <tr>\n",
1083 |        "      <th>0</th>\n",
1084 |        "      <td>SR Tendulkar (INDIA)</td>\n",
1085 |        "      <td>1989-2013</td>\n",
1086 |        "      <td>200</td>\n",
1087 |        "      <td>329</td>\n",
1088 |        "      <td>33</td>\n",
1089 |        "      <td>15921</td>\n",
1090 |        "      <td>248*</td>\n",
1091 |        "      <td>53.78</td>\n",
1092 |        "      <td>51</td>\n",
1093 |        "      <td>68</td>\n",
1094 |        "      <td>14</td>\n",
1095 |        "    </tr>\n",
1096 |        "    <tr>\n",
1097 |        "      <th>1</th>\n",
1098 |        "      <td>RT Ponting (AUS)</td>\n",
1099 |        "      <td>1995-2012</td>\n",
1100 |        "      <td>168</td>\n",
1101 |        "      <td>287</td>\n",
1102 |        "      <td>29</td>\n",
1103 |        "      <td>13378</td>\n",
1104 |        "      <td>257</td>\n",
1105 |        "      <td>51.85</td>\n",
1106 |        "      <td>41</td>\n",
1107 |        "      <td>62</td>\n",
1108 |        "      <td>17</td>\n",
1109 |        "    </tr>\n",
1110 |        "    <tr>\n",
1111 |        "      <th>2</th>\n",
1112 |        "      <td>JH Kallis (ICC/SA)</td>\n",
1113 |        "      <td>1995-2013</td>\n",
1114 |        "      <td>166</td>\n",
1115 |        "      <td>280</td>\n",
1116 |        "      <td>40</td>\n",
1117 |        "      <td>13289</td>\n",
1118 |        "      <td>224</td>\n",
1119 |        "      <td>55.37</td>\n",
1120 |        "      <td>45</td>\n",
1121 |        "      <td>58</td>\n",
1122 |        "      <td>16</td>\n",
1123 |        "    </tr>\n",
1124 |        "    <tr>\n",
1125 |        "      <th>3</th>\n",
1126 |        "      <td>R Dravid (ICC/INDIA)</td>\n",
1127 |        "      <td>1996-2012</td>\n",
1128 |        "      <td>164</td>\n",
1129 |        "      <td>286</td>\n",
1130 |        "      <td>32</td>\n",
1131 |        "      <td>13288</td>\n",
1132 |        "      <td>270</td>\n",
1133 |        "      <td>52.31</td>\n",
1134 |        "      <td>36</td>\n",
1135 |        "      <td>63</td>\n",
1136 |        "      <td>8</td>\n",
1137 |        "    </tr>\n",
1138 |        "    <tr>\n",
1139 |        "      <th>4</th>\n",
1140 |        "      <td>AN Cook (ENG)</td>\n",
1141 |        "      <td>2006-2018</td>\n",
1142 |        "      <td>161</td>\n",
1143 |        "      <td>291</td>\n",
1144 |        "      <td>16</td>\n",
1145 |        "      <td>12472</td>\n",
1146 |        "      <td>294</td>\n",
1147 |        "      <td>45.35</td>\n",
1148 |        "      <td>33</td>\n",
1149 |        "      <td>57</td>\n",
1150 |        "      <td>9</td>\n",
1151 |        "    </tr>\n",
1152 |        "    <tr>\n",
1153 |        "      <th>5</th>\n",
1154 |        "      <td>KC Sangakkara (SL)</td>\n",
1155 |        "      <td>2000-2015</td>\n",
1156 |        "      <td>134</td>\n",
1157 |        "      <td>233</td>\n",
1158 |        "      <td>17</td>\n",
1159 |        "      <td>12400</td>\n",
1160 |        "      <td>319</td>\n",
1161 |        "      <td>57.40</td>\n",
1162 |        "      <td>38</td>\n",
1163 |        "      <td>52</td>\n",
1164 |        "      <td>11</td>\n",
1165 |        "    </tr>\n",
1166 |        "    <tr>\n",
1167 |        "      <th>6</th>\n",
1168 |        "      <td>BC Lara (ICC/WI)</td>\n",
1169 |        "      <td>1990-2006</td>\n",
1170 |        "      <td>131</td>\n",
1171 |        "      <td>232</td>\n",
1172 |        "      <td>6</td>\n",
1173 |        "      <td>11953</td>\n",
1174 |        "      <td>400*</td>\n",
1175 |        "      <td>52.88</td>\n",
1176 |        "      <td>34</td>\n",
1177 |        "      <td>48</td>\n",
1178 |        "      <td>17</td>\n",
1179 |        "    </tr>\n",
1180 |        "    <tr>\n",
1181 |        "      <th>7</th>\n",
1182 |        "      <td>S Chanderpaul (WI)</td>\n",
1183 |        "      <td>1994-2015</td>\n",
1184 |        "      <td>164</td>\n",
1185 |        "      <td>280</td>\n",
1186 |        "      <td>49</td>\n",
1187 |        "      <td>11867</td>\n",
1188 |        "      <td>203*</td>\n",
1189 |        "      <td>51.37</td>\n",
1190 |        "      <td>30</td>\n",
1191 |        "      <td>66</td>\n",
1192 |        "      <td>15</td>\n",
1193 |        "    </tr>\n",
1194 |        "    <tr>\n",
1195 |        "      <th>8</th>\n",
1196 |        "      <td>DPMD Jayawardene (SL)</td>\n",
1197 |        "      <td>1997-2014</td>\n",
1198 |        "      <td>149</td>\n",
1199 |        "      <td>252</td>\n",
1200 |        "      <td>15</td>\n",
1201 |        "      <td>11814</td>\n",
1202 |        "      <td>374</td>\n",
1203 |        "      <td>49.84</td>\n",
1204 |        "      <td>34</td>\n",
1205 |        "      <td>50</td>\n",
1206 |        "      <td>15</td>\n",
1207 |        "    </tr>\n",
1208 |        "    <tr>\n",
1209 |        "      <th>9</th>\n",
1210 |        "      <td>AR Border (AUS)</td>\n",
1211 |        "      <td>1978-1994</td>\n",
1212 |        "      <td>156</td>\n",
1213 |        "      <td>265</td>\n",
1214 |        "      <td>44</td>\n",
1215 |        "      <td>11174</td>\n",
1216 |        "      <td>205</td>\n",
1217 |        "      <td>50.56</td>\n",
1218 |        "      <td>27</td>\n",
1219 |        "      <td>63</td>\n",
1220 |        "      <td>11</td>\n",
1221 |        "    </tr>\n",
1222 |        "    <tr>\n",
1223 |        "      <th>10</th>\n",
1224 |        "      <td>SR Waugh (AUS)</td>\n",
1225 |        "      <td>1985-2004</td>\n",
1226 |        "      <td>168</td>\n",
1227 |        "      <td>260</td>\n",
1228 |        "      <td>46</td>\n",
1229 |        "      <td>10927</td>\n",
1230 |        "      <td>200</td>\n",
1231 |        "      <td>51.06</td>\n",
1232 |        "      <td>32</td>\n",
1233 |        "      <td>50</td>\n",
1234 |        "      <td>22</td>\n",
1235 |        "    </tr>\n",
1236 |        "    <tr>\n",
1237 |        "      <th>11</th>\n",
1238 |        "      <td>SM Gavaskar (INDIA)</td>\n",
1239 |        "      <td>1971-1987</td>\n",
1240 |        "      <td>125</td>\n",
1241 |        "      <td>214</td>\n",
1242 |        "      <td>16</td>\n",
1243 |        "      <td>10122</td>\n",
1244 |        "      <td>236*</td>\n",
1245 |        "      <td>51.12</td>\n",
1246 |        "      <td>34</td>\n",
1247 |        "      <td>45</td>\n",
1248 |        "      <td>12</td>\n",
1249 |        "    </tr>\n",
1250 |        "    <tr>\n",
1251 |        "      <th>12</th>\n",
1252 |        "      <td>Younis Khan (PAK)</td>\n",
1253 |        "      <td>2000-2017</td>\n",
1254 |        "      <td>118</td>\n",
1255 |        "      <td>213</td>\n",
1256 |        "      <td>19</td>\n",
1257 |        "      <td>10099</td>\n",
1258 |        "      <td>313</td>\n",
1259 |        "      <td>52.05</td>\n",
1260 |        "      <td>34</td>\n",
1261 |        "      <td>33</td>\n",
1262 |        "      <td>19</td>\n",
1263 |        "    </tr>\n",
1264 |        "    <tr>\n",
1265 |        "      <th>13</th>\n",
1266 |        "      <td>HM Amla (SA)</td>\n",
1267 |        "      <td>2004-2019</td>\n",
1268 |        "      <td>124</td>\n",
1269 |        "      <td>215</td>\n",
1270 |        "      <td>16</td>\n",
1271 |        "      <td>9282</td>\n",
1272 |        "      <td>311*</td>\n",
1273 |        "      <td>46.64</td>\n",
1274 |        "      <td>28</td>\n",
1275 |        "      <td>41</td>\n",
1276 |        "      <td>13</td>\n",
1277 |        "    </tr>\n",
1278 |        "    <tr>\n",
1279 |        "      <th>14</th>\n",
1280 |        "      <td>GC Smith (ICC/SA)</td>\n",
1281 |        "      <td>2002-2014</td>\n",
1282 |        "      <td>117</td>\n",
1283 |        "      <td>205</td>\n",
1284 |        "      <td>13</td>\n",
1285 |        "      <td>9265</td>\n",
1286 |        "      <td>277</td>\n",
1287 |        "      <td>48.25</td>\n",
1288 |        "      <td>27</td>\n",
1289 |        "      <td>38</td>\n",
1290 |        "      <td>11</td>\n",
1291 |        "    </tr>\n",
1292 |        "  </tbody>\n",
1293 |        "</table>\n",
1294 |        "</div>"
1295 |       ],
1296 |       "text/plain": [
1297 |        "                   Player       Span  Mat  Inns  NO   Runs    HS    Ave  100  \\\n",
1298 |        "0    SR Tendulkar (INDIA)  1989-2013  200   329  33  15921  248*  53.78   51   \n",
1299 |        "1        RT Ponting (AUS)  1995-2012  168   287  29  13378   257  51.85   41   \n",
1300 |        "2      JH Kallis (ICC/SA)  1995-2013  166   280  40  13289   224  55.37   45   \n",
1301 |        "3    R Dravid (ICC/INDIA)  1996-2012  164   286  32  13288   270  52.31   36   \n",
1302 |        "4           AN Cook (ENG)  2006-2018  161   291  16  12472   294  45.35   33   \n",
1303 |        "5      KC Sangakkara (SL)  2000-2015  134   233  17  12400   319  57.40   38   \n",
1304 |        "6        BC Lara (ICC/WI)  1990-2006  131   232   6  11953  400*  52.88   34   \n",
1305 |        "7      S Chanderpaul (WI)  1994-2015  164   280  49  11867  203*  51.37   30   \n",
1306 |        "8   DPMD Jayawardene (SL)  1997-2014  149   252  15  11814   374  49.84   34   \n",
1307 |        "9         AR Border (AUS)  1978-1994  156   265  44  11174   205  50.56   27   \n",
1308 |        "10         SR Waugh (AUS)  1985-2004  168   260  46  10927   200  51.06   32   \n",
1309 |        "11    SM Gavaskar (INDIA)  1971-1987  125   214  16  10122  236*  51.12   34   \n",
1310 |        "12      Younis Khan (PAK)  2000-2017  118   213  19  10099   313  52.05   34   \n",
1311 |        "13           HM Amla (SA)  2004-2019  124   215  16   9282  311*  46.64   28   \n",
1312 |        "14      GC Smith (ICC/SA)  2002-2014  117   205  13   9265   277  48.25   27   \n",
1313 |        "\n",
1314 |        "    50   0  \n",
1315 |        "0   68  14  \n",
1316 |        "1   62  17  \n",
1317 |        "2   58  16  \n",
1318 |        "3   63   8  \n",
1319 |        "4   57   9  \n",
1320 |        "5   52  11  \n",
1321 |        "6   48  17  \n",
1322 |        "7   66  15  \n",
1323 |        "8   50  15  \n",
1324 |        "9   63  11  \n",
1325 |        "10  50  22  \n",
1326 |        "11  45  12  \n",
1327 |        "12  33  19  \n",
1328 |        "13  41  13  \n",
1329 |        "14  38  11  "
1330 |       ]
1331 |      },
1332 |      "metadata": {},
1333 |      "output_type": "display_data"
1334 |     },
1335 |     {
1336 |      "name": "stdout",
1337 |      "output_type": "stream",
1338 |      "text": [
1339 |       "(50, 11)\n"
1340 |      ]
1341 |     }
1342 |    ],
1343 |    "source": [
1344 |     "df = pd.read_csv(\"most_runs_in_test_cricket.csv\", encoding = 'unicode_escape', nrows=50)\n",
1345 |     "\n",
1346 |     "display(df.head(15))\n",
1347 |     "print(df.shape)"
1348 |    ]
1349 |   },
1350 |   {
1351 |    "cell_type": "code",
1352 |    "execution_count": 61,
1353 |    "metadata": {},
1354 |    "outputs": [
1355 |     {
1356 |      "data": {
1357 |       "text/html": [
1358 |        "<div>\n",
1359 |        "<style scoped>\n",
1360 |        "    .dataframe tbody tr th:only-of-type {\n",
1361 |        "        vertical-align: middle;\n",
1362 |        "    }\n",
1363 |        "\n",
1364 |        "    .dataframe tbody tr th {\n",
1365 |        "        vertical-align: top;\n",
1366 |        "    }\n",
1367 |        "\n",
1368 |        "    .dataframe thead th {\n",
1369 |        "        text-align: right;\n",
1370 |        "    }\n",
1371 |        "</style>\n",
1372 |        "<table border=\"1\" class=\"dataframe\">\n",
1373 |        "  <thead>\n",
1374 |        "    <tr style=\"text-align: right;\">\n",
1375 |        "      <th></th>\n",
1376 |        "      <th>Player</th>\n",
1377 |        "      <th>Span</th>\n",
1378 |        "      <th>Mat</th>\n",
1379 |        "      <th>Inns</th>\n",
1380 |        "      <th>NO</th>\n",
1381 |        "      <th>Runs</th>\n",
1382 |        "      <th>HS</th>\n",
1383 |        "      <th>Ave</th>\n",
1384 |        "      <th>100</th>\n",
1385 |        "      <th>50</th>\n",
1386 |        "      <th>0</th>\n",
1387 |        "    </tr>\n",
1388 |        "  </thead>\n",
1389 |        "  <tbody>\n",
1390 |        "    <tr>\n",
1391 |        "      <th>38</th>\n",
1392 |        "      <td>SPD Smith (AUS)</td>\n",
1393 |        "      <td>2010-2021</td>\n",
1394 |        "      <td>77</td>\n",
1395 |        "      <td>139</td>\n",
1396 |        "      <td>17</td>\n",
1397 |        "      <td>7540</td>\n",
1398 |        "      <td>239</td>\n",
1399 |        "      <td>61.80</td>\n",
1400 |        "      <td>27</td>\n",
1401 |        "      <td>31</td>\n",
1402 |        "      <td>5</td>\n",
1403 |        "    </tr>\n",
1404 |        "    <tr>\n",
1405 |        "      <th>34</th>\n",
1406 |        "      <td>MC Cowdrey (ENG)</td>\n",
1407 |        "      <td>1954-1975</td>\n",
1408 |        "      <td>114</td>\n",
1409 |        "      <td>188</td>\n",
1410 |        "      <td>15</td>\n",
1411 |        "      <td>7624</td>\n",
1412 |        "      <td>182</td>\n",
1413 |        "      <td>44.06</td>\n",
1414 |        "      <td>22</td>\n",
1415 |        "      <td>38</td>\n",
1416 |        "      <td>9</td>\n",
1417 |        "    </tr>\n",
1418 |        "  </tbody>\n",
1419 |        "</table>\n",
1420 |        "</div>"
1421 |       ],
1422 |       "text/plain": [
1423 |        "              Player       Span  Mat  Inns  NO  Runs   HS    Ave  100  50  0\n",
1424 |        "38   SPD Smith (AUS)  2010-2021   77   139  17  7540  239  61.80   27  31  5\n",
1425 |        "34  MC Cowdrey (ENG)  1954-1975  114   188  15  7624  182  44.06   22  38  9"
1426 |       ]
1427 |      },
1428 |      "execution_count": 61,
1429 |      "metadata": {},
1430 |      "output_type": "execute_result"
1431 |     }
1432 |    ],
1433 |    "source": [
1434 |     "# showing randomly 2 different rows\n",
1435 |     "df.sample(2)"
1436 |    ]
1437 |   },
1438 |   {
1439 |    "cell_type": "code",
1440 |    "execution_count": null,
1441 |    "metadata": {},
1442 |    "outputs": [],
1443 |    "source": []
1444 |   },
1445 |   {
1446 |    "cell_type": "code",
1447 |    "execution_count": null,
1448 |    "metadata": {},
1449 |    "outputs": [],
1450 |    "source": []
1451 |   }
1452 |  ],
1453 |  "metadata": {
1454 |   "kernelspec": {
1455 |    "display_name": "Python 3",
1456 |    "language": "python",
1457 |    "name": "python3"
1458 |   },
1459 |   "language_info": {
1460 |    "codemirror_mode": {
1461 |     "name": "ipython",
1462 |     "version": 3
1463 |    },
1464 |    "file_extension": ".py",
1465 |    "mimetype": "text/x-python",
1466 |    "name": "python",
1467 |    "nbconvert_exporter": "python",
1468 |    "pygments_lexer": "ipython3",
1469 |    "version": "3.8.5"
1470 |   }
1471 |  },
1472 |  "nbformat": 4,
1473 |  "nbformat_minor": 4
1474 | }
1475 | 


--------------------------------------------------------------------------------
/Lecture_2.ipynb:
--------------------------------------------------------------------------------
   1 | {
   2 |  "cells": [
   3 |   {
   4 |    "cell_type": "markdown",
   5 |    "metadata": {},
   6 |    "source": [
   7 |     "# Data Analysis with Python\n",
   8 |     "## Lecture 02: Data Preprocessing with Pandas\n",
   9 |     "<br>Instructor: Md Shahidullah Kawsar\n",
  10 |     "<br>Data Scientist, IDARE, Houston, TX, USA\n",
  11 |     "\n",
  12 |     "**Objectives:**\n",
  13 |     "- reading a .txt (text) or an excel (.xlsx) file\n",
  14 |     "- dealing with the UnicodeDecodeError?\n",
  15 |     "- renaming column names\n",
  16 |     "- creating a new DataFrame?\n",
  17 |     "- concatenation of two dataframes\n",
  18 |     "- column splitting\n",
  19 |     "- creating a new column in a dataframe\n",
  20 |     "- replace/removing a value from a pandas column\n",
  21 |     "- removing a column from the dataframe\n",
  22 |     "\n",
  23 |     "**References:**\n",
  24 |     "<br>[1] Data Source: https://stats.espncricinfo.com/ci/content/records/223646.html\n",
  25 |     "<br>[2] https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_excel.html\n",
  26 |     "<br>[3] different data sources: https://archive.ics.uci.edu/ml/index.php\n",
  27 |     "<br>[4] https://www.kaggle.com/learn\n",
  28 |     "<br>[5] https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.reindex.html"
  29 |    ]
  30 |   },
  31 |   {
  32 |    "cell_type": "markdown",
  33 |    "metadata": {},
  34 |    "source": [
  35 |     "#### Import required libraries"
  36 |    ]
  37 |   },
  38 |   {
  39 |    "cell_type": "code",
  40 |    "execution_count": 270,
  41 |    "metadata": {},
  42 |    "outputs": [],
  43 |    "source": [
  44 |     "import numpy as np\n",
  45 |     "import pandas as pd"
  46 |    ]
  47 |   },
  48 |   {
  49 |    "cell_type": "markdown",
  50 |    "metadata": {},
  51 |    "source": [
  52 |     "#### How to read a text file?\n",
  53 |     "#### How to deal with UnicodeDecodeError?"
  54 |    ]
  55 |   },
  56 |   {
  57 |    "cell_type": "code",
  58 |    "execution_count": 271,
  59 |    "metadata": {},
  60 |    "outputs": [
  61 |     {
  62 |      "data": {
  63 |       "text/html": [
  64 |        "<div>\n",
  65 |        "<style scoped>\n",
  66 |        "    .dataframe tbody tr th:only-of-type {\n",
  67 |        "        vertical-align: middle;\n",
  68 |        "    }\n",
  69 |        "\n",
  70 |        "    .dataframe tbody tr th {\n",
  71 |        "        vertical-align: top;\n",
  72 |        "    }\n",
  73 |        "\n",
  74 |        "    .dataframe thead th {\n",
  75 |        "        text-align: right;\n",
  76 |        "    }\n",
  77 |        "</style>\n",
  78 |        "<table border=\"1\" class=\"dataframe\">\n",
  79 |        "  <thead>\n",
  80 |        "    <tr style=\"text-align: right;\">\n",
  81 |        "      <th></th>\n",
  82 |        "      <th>Player</th>\n",
  83 |        "      <th>Span</th>\n",
  84 |        "      <th>Mat</th>\n",
  85 |        "      <th>Inns</th>\n",
  86 |        "      <th>NO</th>\n",
  87 |        "      <th>Runs</th>\n",
  88 |        "      <th>HS</th>\n",
  89 |        "      <th>Ave</th>\n",
  90 |        "      <th>100</th>\n",
  91 |        "      <th>50</th>\n",
  92 |        "      <th>0</th>\n",
  93 |        "    </tr>\n",
  94 |        "  </thead>\n",
  95 |        "  <tbody>\n",
  96 |        "    <tr>\n",
  97 |        "      <th>0</th>\n",
  98 |        "      <td>SR Tendulkar (INDIA)</td>\n",
  99 |        "      <td>1989-2013</td>\n",
 100 |        "      <td>200</td>\n",
 101 |        "      <td>329</td>\n",
 102 |        "      <td>33</td>\n",
 103 |        "      <td>15921</td>\n",
 104 |        "      <td>248*</td>\n",
 105 |        "      <td>53.78</td>\n",
 106 |        "      <td>51</td>\n",
 107 |        "      <td>68</td>\n",
 108 |        "      <td>14</td>\n",
 109 |        "    </tr>\n",
 110 |        "    <tr>\n",
 111 |        "      <th>1</th>\n",
 112 |        "      <td>RT Ponting (AUS)</td>\n",
 113 |        "      <td>1995-2012</td>\n",
 114 |        "      <td>168</td>\n",
 115 |        "      <td>287</td>\n",
 116 |        "      <td>29</td>\n",
 117 |        "      <td>13378</td>\n",
 118 |        "      <td>257</td>\n",
 119 |        "      <td>51.85</td>\n",
 120 |        "      <td>41</td>\n",
 121 |        "      <td>62</td>\n",
 122 |        "      <td>17</td>\n",
 123 |        "    </tr>\n",
 124 |        "    <tr>\n",
 125 |        "      <th>2</th>\n",
 126 |        "      <td>JH Kallis (ICC/SA)</td>\n",
 127 |        "      <td>1995-2013</td>\n",
 128 |        "      <td>166</td>\n",
 129 |        "      <td>280</td>\n",
 130 |        "      <td>40</td>\n",
 131 |        "      <td>13289</td>\n",
 132 |        "      <td>224</td>\n",
 133 |        "      <td>55.37</td>\n",
 134 |        "      <td>45</td>\n",
 135 |        "      <td>58</td>\n",
 136 |        "      <td>16</td>\n",
 137 |        "    </tr>\n",
 138 |        "    <tr>\n",
 139 |        "      <th>3</th>\n",
 140 |        "      <td>R Dravid (ICC/INDIA)</td>\n",
 141 |        "      <td>1996-2012</td>\n",
 142 |        "      <td>164</td>\n",
 143 |        "      <td>286</td>\n",
 144 |        "      <td>32</td>\n",
 145 |        "      <td>13288</td>\n",
 146 |        "      <td>270</td>\n",
 147 |        "      <td>52.31</td>\n",
 148 |        "      <td>36</td>\n",
 149 |        "      <td>63</td>\n",
 150 |        "      <td>8</td>\n",
 151 |        "    </tr>\n",
 152 |        "    <tr>\n",
 153 |        "      <th>4</th>\n",
 154 |        "      <td>AN Cook (ENG)</td>\n",
 155 |        "      <td>2006-2018</td>\n",
 156 |        "      <td>161</td>\n",
 157 |        "      <td>291</td>\n",
 158 |        "      <td>16</td>\n",
 159 |        "      <td>12472</td>\n",
 160 |        "      <td>294</td>\n",
 161 |        "      <td>45.35</td>\n",
 162 |        "      <td>33</td>\n",
 163 |        "      <td>57</td>\n",
 164 |        "      <td>9</td>\n",
 165 |        "    </tr>\n",
 166 |        "  </tbody>\n",
 167 |        "</table>\n",
 168 |        "</div>"
 169 |       ],
 170 |       "text/plain": [
 171 |        "                 Player       Span  Mat  Inns  NO   Runs    HS    Ave  100  \\\n",
 172 |        "0  SR Tendulkar (INDIA)  1989-2013  200   329  33  15921  248*  53.78   51   \n",
 173 |        "1      RT Ponting (AUS)  1995-2012  168   287  29  13378   257  51.85   41   \n",
 174 |        "2    JH Kallis (ICC/SA)  1995-2013  166   280  40  13289   224  55.37   45   \n",
 175 |        "3  R Dravid (ICC/INDIA)  1996-2012  164   286  32  13288   270  52.31   36   \n",
 176 |        "4         AN Cook (ENG)  2006-2018  161   291  16  12472   294  45.35   33   \n",
 177 |        "\n",
 178 |        "   50   0  \n",
 179 |        "0  68  14  \n",
 180 |        "1  62  17  \n",
 181 |        "2  58  16  \n",
 182 |        "3  63   8  \n",
 183 |        "4  57   9  "
 184 |       ]
 185 |      },
 186 |      "metadata": {},
 187 |      "output_type": "display_data"
 188 |     }
 189 |    ],
 190 |    "source": [
 191 |     "df = pd.read_csv(\"most_runs_in_test_cricket.txt\", encoding='unicode_escape', delimiter='\\t')\n",
 192 |     "\n",
 193 |     "display(df.head())"
 194 |    ]
 195 |   },
 196 |   {
 197 |    "cell_type": "markdown",
 198 |    "metadata": {},
 199 |    "source": [
 200 |     "#### Reading an excel file"
 201 |    ]
 202 |   },
 203 |   {
 204 |    "cell_type": "code",
 205 |    "execution_count": 272,
 206 |    "metadata": {},
 207 |    "outputs": [],
 208 |    "source": [
 209 |     "# pip install openpyxl"
 210 |    ]
 211 |   },
 212 |   {
 213 |    "cell_type": "code",
 214 |    "execution_count": 273,
 215 |    "metadata": {},
 216 |    "outputs": [
 217 |     {
 218 |      "data": {
 219 |       "text/html": [
 220 |        "<div>\n",
 221 |        "<style scoped>\n",
 222 |        "    .dataframe tbody tr th:only-of-type {\n",
 223 |        "        vertical-align: middle;\n",
 224 |        "    }\n",
 225 |        "\n",
 226 |        "    .dataframe tbody tr th {\n",
 227 |        "        vertical-align: top;\n",
 228 |        "    }\n",
 229 |        "\n",
 230 |        "    .dataframe thead th {\n",
 231 |        "        text-align: right;\n",
 232 |        "    }\n",
 233 |        "</style>\n",
 234 |        "<table border=\"1\" class=\"dataframe\">\n",
 235 |        "  <thead>\n",
 236 |        "    <tr style=\"text-align: right;\">\n",
 237 |        "      <th></th>\n",
 238 |        "      <th>Player</th>\n",
 239 |        "      <th>Span</th>\n",
 240 |        "      <th>Mat</th>\n",
 241 |        "      <th>Inns</th>\n",
 242 |        "      <th>NO</th>\n",
 243 |        "      <th>Runs</th>\n",
 244 |        "      <th>HS</th>\n",
 245 |        "      <th>Ave</th>\n",
 246 |        "      <th>100</th>\n",
 247 |        "      <th>50</th>\n",
 248 |        "      <th>0</th>\n",
 249 |        "    </tr>\n",
 250 |        "  </thead>\n",
 251 |        "  <tbody>\n",
 252 |        "    <tr>\n",
 253 |        "      <th>0</th>\n",
 254 |        "      <td>SR Tendulkar (INDIA)</td>\n",
 255 |        "      <td>1989-2013</td>\n",
 256 |        "      <td>200</td>\n",
 257 |        "      <td>329</td>\n",
 258 |        "      <td>33</td>\n",
 259 |        "      <td>15921</td>\n",
 260 |        "      <td>248*</td>\n",
 261 |        "      <td>53.78</td>\n",
 262 |        "      <td>51</td>\n",
 263 |        "      <td>68</td>\n",
 264 |        "      <td>14</td>\n",
 265 |        "    </tr>\n",
 266 |        "    <tr>\n",
 267 |        "      <th>1</th>\n",
 268 |        "      <td>RT Ponting (AUS)</td>\n",
 269 |        "      <td>1995-2012</td>\n",
 270 |        "      <td>168</td>\n",
 271 |        "      <td>287</td>\n",
 272 |        "      <td>29</td>\n",
 273 |        "      <td>13378</td>\n",
 274 |        "      <td>257</td>\n",
 275 |        "      <td>51.85</td>\n",
 276 |        "      <td>41</td>\n",
 277 |        "      <td>62</td>\n",
 278 |        "      <td>17</td>\n",
 279 |        "    </tr>\n",
 280 |        "    <tr>\n",
 281 |        "      <th>2</th>\n",
 282 |        "      <td>JH Kallis (ICC/SA)</td>\n",
 283 |        "      <td>1995-2013</td>\n",
 284 |        "      <td>166</td>\n",
 285 |        "      <td>280</td>\n",
 286 |        "      <td>40</td>\n",
 287 |        "      <td>13289</td>\n",
 288 |        "      <td>224</td>\n",
 289 |        "      <td>55.37</td>\n",
 290 |        "      <td>45</td>\n",
 291 |        "      <td>58</td>\n",
 292 |        "      <td>16</td>\n",
 293 |        "    </tr>\n",
 294 |        "    <tr>\n",
 295 |        "      <th>3</th>\n",
 296 |        "      <td>R Dravid (ICC/INDIA)</td>\n",
 297 |        "      <td>1996-2012</td>\n",
 298 |        "      <td>164</td>\n",
 299 |        "      <td>286</td>\n",
 300 |        "      <td>32</td>\n",
 301 |        "      <td>13288</td>\n",
 302 |        "      <td>270</td>\n",
 303 |        "      <td>52.31</td>\n",
 304 |        "      <td>36</td>\n",
 305 |        "      <td>63</td>\n",
 306 |        "      <td>8</td>\n",
 307 |        "    </tr>\n",
 308 |        "    <tr>\n",
 309 |        "      <th>4</th>\n",
 310 |        "      <td>AN Cook (ENG)</td>\n",
 311 |        "      <td>2006-2018</td>\n",
 312 |        "      <td>161</td>\n",
 313 |        "      <td>291</td>\n",
 314 |        "      <td>16</td>\n",
 315 |        "      <td>12472</td>\n",
 316 |        "      <td>294</td>\n",
 317 |        "      <td>45.35</td>\n",
 318 |        "      <td>33</td>\n",
 319 |        "      <td>57</td>\n",
 320 |        "      <td>9</td>\n",
 321 |        "    </tr>\n",
 322 |        "  </tbody>\n",
 323 |        "</table>\n",
 324 |        "</div>"
 325 |       ],
 326 |       "text/plain": [
 327 |        "                 Player       Span  Mat  Inns  NO   Runs    HS    Ave  100  \\\n",
 328 |        "0  SR Tendulkar (INDIA)  1989-2013  200   329  33  15921  248*  53.78   51   \n",
 329 |        "1      RT Ponting (AUS)  1995-2012  168   287  29  13378   257  51.85   41   \n",
 330 |        "2    JH Kallis (ICC/SA)  1995-2013  166   280  40  13289   224  55.37   45   \n",
 331 |        "3  R Dravid (ICC/INDIA)  1996-2012  164   286  32  13288   270  52.31   36   \n",
 332 |        "4         AN Cook (ENG)  2006-2018  161   291  16  12472   294  45.35   33   \n",
 333 |        "\n",
 334 |        "   50   0  \n",
 335 |        "0  68  14  \n",
 336 |        "1  62  17  \n",
 337 |        "2  58  16  \n",
 338 |        "3  63   8  \n",
 339 |        "4  57   9  "
 340 |       ]
 341 |      },
 342 |      "metadata": {},
 343 |      "output_type": "display_data"
 344 |     }
 345 |    ],
 346 |    "source": [
 347 |     "df = pd.read_excel(\"test_cricket.xlsx\", sheet_name='runs')\n",
 348 |     "\n",
 349 |     "display(df.head())"
 350 |    ]
 351 |   },
 352 |   {
 353 |    "cell_type": "code",
 354 |    "execution_count": 274,
 355 |    "metadata": {},
 356 |    "outputs": [],
 357 |    "source": [
 358 |     "# df['Player'] = df['Player'].str.replace(\"(\", \"\")\n",
 359 |     "# df['Player'] = df['Player'].str.replace(\")\", \"\")\n",
 360 |     "\n",
 361 |     "# display(df.head())"
 362 |    ]
 363 |   },
 364 |   {
 365 |    "cell_type": "code",
 366 |    "execution_count": 275,
 367 |    "metadata": {},
 368 |    "outputs": [],
 369 |    "source": [
 370 |     "# df_Player = df['Player'].str.split(\" \", expand=True)\n",
 371 |     "\n",
 372 |     "# display(df_Player.head())\n",
 373 |     "# print(df_Player.info())"
 374 |    ]
 375 |   },
 376 |   {
 377 |    "cell_type": "markdown",
 378 |    "metadata": {},
 379 |    "source": [
 380 |     "#### How to rename the column names?"
 381 |    ]
 382 |   },
 383 |   {
 384 |    "cell_type": "code",
 385 |    "execution_count": 276,
 386 |    "metadata": {},
 387 |    "outputs": [
 388 |     {
 389 |      "name": "stdout",
 390 |      "output_type": "stream",
 391 |      "text": [
 392 |       "Index(['Player', 'Span', 'Mat', 'Inns', 'NO', 'Runs', 'HS', 'Ave', 100, 50, 0], dtype='object')\n"
 393 |      ]
 394 |     }
 395 |    ],
 396 |    "source": [
 397 |     "print(df.columns)"
 398 |    ]
 399 |   },
 400 |   {
 401 |    "cell_type": "code",
 402 |    "execution_count": 277,
 403 |    "metadata": {},
 404 |    "outputs": [
 405 |     {
 406 |      "data": {
 407 |       "text/html": [
 408 |        "<div>\n",
 409 |        "<style scoped>\n",
 410 |        "    .dataframe tbody tr th:only-of-type {\n",
 411 |        "        vertical-align: middle;\n",
 412 |        "    }\n",
 413 |        "\n",
 414 |        "    .dataframe tbody tr th {\n",
 415 |        "        vertical-align: top;\n",
 416 |        "    }\n",
 417 |        "\n",
 418 |        "    .dataframe thead th {\n",
 419 |        "        text-align: right;\n",
 420 |        "    }\n",
 421 |        "</style>\n",
 422 |        "<table border=\"1\" class=\"dataframe\">\n",
 423 |        "  <thead>\n",
 424 |        "    <tr style=\"text-align: right;\">\n",
 425 |        "      <th></th>\n",
 426 |        "      <th>Player</th>\n",
 427 |        "      <th>Span</th>\n",
 428 |        "      <th>Match</th>\n",
 429 |        "      <th>Innings</th>\n",
 430 |        "      <th>NotOut</th>\n",
 431 |        "      <th>Runs</th>\n",
 432 |        "      <th>Highest_score</th>\n",
 433 |        "      <th>Average</th>\n",
 434 |        "      <th>Centuries</th>\n",
 435 |        "      <th>Half_centuries</th>\n",
 436 |        "      <th>Ducks</th>\n",
 437 |        "    </tr>\n",
 438 |        "  </thead>\n",
 439 |        "  <tbody>\n",
 440 |        "    <tr>\n",
 441 |        "      <th>0</th>\n",
 442 |        "      <td>SR Tendulkar (INDIA)</td>\n",
 443 |        "      <td>1989-2013</td>\n",
 444 |        "      <td>200</td>\n",
 445 |        "      <td>329</td>\n",
 446 |        "      <td>33</td>\n",
 447 |        "      <td>15921</td>\n",
 448 |        "      <td>248*</td>\n",
 449 |        "      <td>53.78</td>\n",
 450 |        "      <td>51</td>\n",
 451 |        "      <td>68</td>\n",
 452 |        "      <td>14</td>\n",
 453 |        "    </tr>\n",
 454 |        "    <tr>\n",
 455 |        "      <th>1</th>\n",
 456 |        "      <td>RT Ponting (AUS)</td>\n",
 457 |        "      <td>1995-2012</td>\n",
 458 |        "      <td>168</td>\n",
 459 |        "      <td>287</td>\n",
 460 |        "      <td>29</td>\n",
 461 |        "      <td>13378</td>\n",
 462 |        "      <td>257</td>\n",
 463 |        "      <td>51.85</td>\n",
 464 |        "      <td>41</td>\n",
 465 |        "      <td>62</td>\n",
 466 |        "      <td>17</td>\n",
 467 |        "    </tr>\n",
 468 |        "    <tr>\n",
 469 |        "      <th>2</th>\n",
 470 |        "      <td>JH Kallis (ICC/SA)</td>\n",
 471 |        "      <td>1995-2013</td>\n",
 472 |        "      <td>166</td>\n",
 473 |        "      <td>280</td>\n",
 474 |        "      <td>40</td>\n",
 475 |        "      <td>13289</td>\n",
 476 |        "      <td>224</td>\n",
 477 |        "      <td>55.37</td>\n",
 478 |        "      <td>45</td>\n",
 479 |        "      <td>58</td>\n",
 480 |        "      <td>16</td>\n",
 481 |        "    </tr>\n",
 482 |        "    <tr>\n",
 483 |        "      <th>3</th>\n",
 484 |        "      <td>R Dravid (ICC/INDIA)</td>\n",
 485 |        "      <td>1996-2012</td>\n",
 486 |        "      <td>164</td>\n",
 487 |        "      <td>286</td>\n",
 488 |        "      <td>32</td>\n",
 489 |        "      <td>13288</td>\n",
 490 |        "      <td>270</td>\n",
 491 |        "      <td>52.31</td>\n",
 492 |        "      <td>36</td>\n",
 493 |        "      <td>63</td>\n",
 494 |        "      <td>8</td>\n",
 495 |        "    </tr>\n",
 496 |        "    <tr>\n",
 497 |        "      <th>4</th>\n",
 498 |        "      <td>AN Cook (ENG)</td>\n",
 499 |        "      <td>2006-2018</td>\n",
 500 |        "      <td>161</td>\n",
 501 |        "      <td>291</td>\n",
 502 |        "      <td>16</td>\n",
 503 |        "      <td>12472</td>\n",
 504 |        "      <td>294</td>\n",
 505 |        "      <td>45.35</td>\n",
 506 |        "      <td>33</td>\n",
 507 |        "      <td>57</td>\n",
 508 |        "      <td>9</td>\n",
 509 |        "    </tr>\n",
 510 |        "  </tbody>\n",
 511 |        "</table>\n",
 512 |        "</div>"
 513 |       ],
 514 |       "text/plain": [
 515 |        "                 Player       Span  Match  Innings  NotOut   Runs  \\\n",
 516 |        "0  SR Tendulkar (INDIA)  1989-2013    200      329      33  15921   \n",
 517 |        "1      RT Ponting (AUS)  1995-2012    168      287      29  13378   \n",
 518 |        "2    JH Kallis (ICC/SA)  1995-2013    166      280      40  13289   \n",
 519 |        "3  R Dravid (ICC/INDIA)  1996-2012    164      286      32  13288   \n",
 520 |        "4         AN Cook (ENG)  2006-2018    161      291      16  12472   \n",
 521 |        "\n",
 522 |        "  Highest_score  Average  Centuries  Half_centuries  Ducks  \n",
 523 |        "0          248*    53.78         51              68     14  \n",
 524 |        "1           257    51.85         41              62     17  \n",
 525 |        "2           224    55.37         45              58     16  \n",
 526 |        "3           270    52.31         36              63      8  \n",
 527 |        "4           294    45.35         33              57      9  "
 528 |       ]
 529 |      },
 530 |      "metadata": {},
 531 |      "output_type": "display_data"
 532 |     }
 533 |    ],
 534 |    "source": [
 535 |     "df = df.rename(columns={'Mat':'Match', \n",
 536 |     "                        'Inns':'Innings',\n",
 537 |     "                        'NO': 'NotOut',\n",
 538 |     "                        'HS': 'Highest_score',\n",
 539 |     "                        'Ave': 'Average',\n",
 540 |     "                        100: 'Centuries',\n",
 541 |     "                        50: 'Half_centuries',\n",
 542 |     "                        0: 'Ducks'})\n",
 543 |     "\n",
 544 |     "display(df.head())"
 545 |    ]
 546 |   },
 547 |   {
 548 |    "cell_type": "markdown",
 549 |    "metadata": {},
 550 |    "source": [
 551 |     "#### How to create a DataFrame?"
 552 |    ]
 553 |   },
 554 |   {
 555 |    "cell_type": "code",
 556 |    "execution_count": 278,
 557 |    "metadata": {},
 558 |    "outputs": [
 559 |     {
 560 |      "data": {
 561 |       "text/html": [
 562 |        "<div>\n",
 563 |        "<style scoped>\n",
 564 |        "    .dataframe tbody tr th:only-of-type {\n",
 565 |        "        vertical-align: middle;\n",
 566 |        "    }\n",
 567 |        "\n",
 568 |        "    .dataframe tbody tr th {\n",
 569 |        "        vertical-align: top;\n",
 570 |        "    }\n",
 571 |        "\n",
 572 |        "    .dataframe thead th {\n",
 573 |        "        text-align: right;\n",
 574 |        "    }\n",
 575 |        "</style>\n",
 576 |        "<table border=\"1\" class=\"dataframe\">\n",
 577 |        "  <thead>\n",
 578 |        "    <tr style=\"text-align: right;\">\n",
 579 |        "      <th></th>\n",
 580 |        "      <th>A</th>\n",
 581 |        "      <th>B</th>\n",
 582 |        "    </tr>\n",
 583 |        "  </thead>\n",
 584 |        "  <tbody>\n",
 585 |        "    <tr>\n",
 586 |        "      <th>0</th>\n",
 587 |        "      <td>1</td>\n",
 588 |        "      <td>4</td>\n",
 589 |        "    </tr>\n",
 590 |        "    <tr>\n",
 591 |        "      <th>1</th>\n",
 592 |        "      <td>2</td>\n",
 593 |        "      <td>5</td>\n",
 594 |        "    </tr>\n",
 595 |        "    <tr>\n",
 596 |        "      <th>2</th>\n",
 597 |        "      <td>3</td>\n",
 598 |        "      <td>6</td>\n",
 599 |        "    </tr>\n",
 600 |        "  </tbody>\n",
 601 |        "</table>\n",
 602 |        "</div>"
 603 |       ],
 604 |       "text/plain": [
 605 |        "   A  B\n",
 606 |        "0  1  4\n",
 607 |        "1  2  5\n",
 608 |        "2  3  6"
 609 |       ]
 610 |      },
 611 |      "metadata": {},
 612 |      "output_type": "display_data"
 613 |     }
 614 |    ],
 615 |    "source": [
 616 |     "df_A = pd.DataFrame({'A':[1,2,3],\n",
 617 |     "                     'B':[4,5,6]})\n",
 618 |     "\n",
 619 |     "display(df_A)"
 620 |    ]
 621 |   },
 622 |   {
 623 |    "cell_type": "code",
 624 |    "execution_count": 279,
 625 |    "metadata": {},
 626 |    "outputs": [
 627 |     {
 628 |      "data": {
 629 |       "text/html": [
 630 |        "<div>\n",
 631 |        "<style scoped>\n",
 632 |        "    .dataframe tbody tr th:only-of-type {\n",
 633 |        "        vertical-align: middle;\n",
 634 |        "    }\n",
 635 |        "\n",
 636 |        "    .dataframe tbody tr th {\n",
 637 |        "        vertical-align: top;\n",
 638 |        "    }\n",
 639 |        "\n",
 640 |        "    .dataframe thead th {\n",
 641 |        "        text-align: right;\n",
 642 |        "    }\n",
 643 |        "</style>\n",
 644 |        "<table border=\"1\" class=\"dataframe\">\n",
 645 |        "  <thead>\n",
 646 |        "    <tr style=\"text-align: right;\">\n",
 647 |        "      <th></th>\n",
 648 |        "      <th>A</th>\n",
 649 |        "      <th>B</th>\n",
 650 |        "    </tr>\n",
 651 |        "  </thead>\n",
 652 |        "  <tbody>\n",
 653 |        "    <tr>\n",
 654 |        "      <th>0</th>\n",
 655 |        "      <td>7</td>\n",
 656 |        "      <td>-7</td>\n",
 657 |        "    </tr>\n",
 658 |        "    <tr>\n",
 659 |        "      <th>1</th>\n",
 660 |        "      <td>8</td>\n",
 661 |        "      <td>-8</td>\n",
 662 |        "    </tr>\n",
 663 |        "    <tr>\n",
 664 |        "      <th>2</th>\n",
 665 |        "      <td>9</td>\n",
 666 |        "      <td>-9</td>\n",
 667 |        "    </tr>\n",
 668 |        "  </tbody>\n",
 669 |        "</table>\n",
 670 |        "</div>"
 671 |       ],
 672 |       "text/plain": [
 673 |        "   A  B\n",
 674 |        "0  7 -7\n",
 675 |        "1  8 -8\n",
 676 |        "2  9 -9"
 677 |       ]
 678 |      },
 679 |      "metadata": {},
 680 |      "output_type": "display_data"
 681 |     }
 682 |    ],
 683 |    "source": [
 684 |     "df_B = pd.DataFrame()\n",
 685 |     "# df_B['C'] = [7,8,9]\n",
 686 |     "# df_B['D'] = [-7,-8,-9]\n",
 687 |     "\n",
 688 |     "df_B['A'] = [7,8,9]\n",
 689 |     "df_B['B'] = [-7,-8,-9]\n",
 690 |     "\n",
 691 |     "display(df_B)"
 692 |    ]
 693 |   },
 694 |   {
 695 |    "cell_type": "markdown",
 696 |    "metadata": {},
 697 |    "source": [
 698 |     "#### How to concatenate two dataframes?"
 699 |    ]
 700 |   },
 701 |   {
 702 |    "cell_type": "code",
 703 |    "execution_count": 280,
 704 |    "metadata": {},
 705 |    "outputs": [
 706 |     {
 707 |      "data": {
 708 |       "text/html": [
 709 |        "<div>\n",
 710 |        "<style scoped>\n",
 711 |        "    .dataframe tbody tr th:only-of-type {\n",
 712 |        "        vertical-align: middle;\n",
 713 |        "    }\n",
 714 |        "\n",
 715 |        "    .dataframe tbody tr th {\n",
 716 |        "        vertical-align: top;\n",
 717 |        "    }\n",
 718 |        "\n",
 719 |        "    .dataframe thead th {\n",
 720 |        "        text-align: right;\n",
 721 |        "    }\n",
 722 |        "</style>\n",
 723 |        "<table border=\"1\" class=\"dataframe\">\n",
 724 |        "  <thead>\n",
 725 |        "    <tr style=\"text-align: right;\">\n",
 726 |        "      <th></th>\n",
 727 |        "      <th>A</th>\n",
 728 |        "      <th>B</th>\n",
 729 |        "      <th>A</th>\n",
 730 |        "      <th>B</th>\n",
 731 |        "    </tr>\n",
 732 |        "  </thead>\n",
 733 |        "  <tbody>\n",
 734 |        "    <tr>\n",
 735 |        "      <th>0</th>\n",
 736 |        "      <td>1</td>\n",
 737 |        "      <td>4</td>\n",
 738 |        "      <td>7</td>\n",
 739 |        "      <td>-7</td>\n",
 740 |        "    </tr>\n",
 741 |        "    <tr>\n",
 742 |        "      <th>1</th>\n",
 743 |        "      <td>2</td>\n",
 744 |        "      <td>5</td>\n",
 745 |        "      <td>8</td>\n",
 746 |        "      <td>-8</td>\n",
 747 |        "    </tr>\n",
 748 |        "    <tr>\n",
 749 |        "      <th>2</th>\n",
 750 |        "      <td>3</td>\n",
 751 |        "      <td>6</td>\n",
 752 |        "      <td>9</td>\n",
 753 |        "      <td>-9</td>\n",
 754 |        "    </tr>\n",
 755 |        "  </tbody>\n",
 756 |        "</table>\n",
 757 |        "</div>"
 758 |       ],
 759 |       "text/plain": [
 760 |        "   A  B  A  B\n",
 761 |        "0  1  4  7 -7\n",
 762 |        "1  2  5  8 -8\n",
 763 |        "2  3  6  9 -9"
 764 |       ]
 765 |      },
 766 |      "metadata": {},
 767 |      "output_type": "display_data"
 768 |     }
 769 |    ],
 770 |    "source": [
 771 |     "# column-wise concatenation\n",
 772 |     "df_C = pd.concat([df_A, df_B], axis=1)\n",
 773 |     "\n",
 774 |     "display(df_C)"
 775 |    ]
 776 |   },
 777 |   {
 778 |    "cell_type": "code",
 779 |    "execution_count": 281,
 780 |    "metadata": {},
 781 |    "outputs": [
 782 |     {
 783 |      "data": {
 784 |       "text/html": [
 785 |        "<div>\n",
 786 |        "<style scoped>\n",
 787 |        "    .dataframe tbody tr th:only-of-type {\n",
 788 |        "        vertical-align: middle;\n",
 789 |        "    }\n",
 790 |        "\n",
 791 |        "    .dataframe tbody tr th {\n",
 792 |        "        vertical-align: top;\n",
 793 |        "    }\n",
 794 |        "\n",
 795 |        "    .dataframe thead th {\n",
 796 |        "        text-align: right;\n",
 797 |        "    }\n",
 798 |        "</style>\n",
 799 |        "<table border=\"1\" class=\"dataframe\">\n",
 800 |        "  <thead>\n",
 801 |        "    <tr style=\"text-align: right;\">\n",
 802 |        "      <th></th>\n",
 803 |        "      <th>A</th>\n",
 804 |        "      <th>B</th>\n",
 805 |        "    </tr>\n",
 806 |        "    <tr>\n",
 807 |        "      <th>index</th>\n",
 808 |        "      <th></th>\n",
 809 |        "      <th></th>\n",
 810 |        "    </tr>\n",
 811 |        "  </thead>\n",
 812 |        "  <tbody>\n",
 813 |        "    <tr>\n",
 814 |        "      <th>0</th>\n",
 815 |        "      <td>1</td>\n",
 816 |        "      <td>4</td>\n",
 817 |        "    </tr>\n",
 818 |        "    <tr>\n",
 819 |        "      <th>1</th>\n",
 820 |        "      <td>2</td>\n",
 821 |        "      <td>5</td>\n",
 822 |        "    </tr>\n",
 823 |        "    <tr>\n",
 824 |        "      <th>2</th>\n",
 825 |        "      <td>3</td>\n",
 826 |        "      <td>6</td>\n",
 827 |        "    </tr>\n",
 828 |        "    <tr>\n",
 829 |        "      <th>3</th>\n",
 830 |        "      <td>7</td>\n",
 831 |        "      <td>-7</td>\n",
 832 |        "    </tr>\n",
 833 |        "    <tr>\n",
 834 |        "      <th>4</th>\n",
 835 |        "      <td>8</td>\n",
 836 |        "      <td>-8</td>\n",
 837 |        "    </tr>\n",
 838 |        "    <tr>\n",
 839 |        "      <th>5</th>\n",
 840 |        "      <td>9</td>\n",
 841 |        "      <td>-9</td>\n",
 842 |        "    </tr>\n",
 843 |        "  </tbody>\n",
 844 |        "</table>\n",
 845 |        "</div>"
 846 |       ],
 847 |       "text/plain": [
 848 |        "       A  B\n",
 849 |        "index      \n",
 850 |        "0      1  4\n",
 851 |        "1      2  5\n",
 852 |        "2      3  6\n",
 853 |        "3      7 -7\n",
 854 |        "4      8 -8\n",
 855 |        "5      9 -9"
 856 |       ]
 857 |      },
 858 |      "metadata": {},
 859 |      "output_type": "display_data"
 860 |     }
 861 |    ],
 862 |    "source": [
 863 |     "# row-wise concatenation\n",
 864 |     "df_C = pd.concat([df_A, df_B], axis=0)\n",
 865 |     "df_C['index'] = np.arange(0,6,1)\n",
 866 |     "df_C = df_C.set_index('index')\n",
 867 |     "\n",
 868 |     "display(df_C)"
 869 |    ]
 870 |   },
 871 |   {
 872 |    "cell_type": "markdown",
 873 |    "metadata": {},
 874 |    "source": [
 875 |     "#### How to split a column and create two new columns?"
 876 |    ]
 877 |   },
 878 |   {
 879 |    "cell_type": "code",
 880 |    "execution_count": 282,
 881 |    "metadata": {},
 882 |    "outputs": [
 883 |     {
 884 |      "data": {
 885 |       "text/html": [
 886 |        "<div>\n",
 887 |        "<style scoped>\n",
 888 |        "    .dataframe tbody tr th:only-of-type {\n",
 889 |        "        vertical-align: middle;\n",
 890 |        "    }\n",
 891 |        "\n",
 892 |        "    .dataframe tbody tr th {\n",
 893 |        "        vertical-align: top;\n",
 894 |        "    }\n",
 895 |        "\n",
 896 |        "    .dataframe thead th {\n",
 897 |        "        text-align: right;\n",
 898 |        "    }\n",
 899 |        "</style>\n",
 900 |        "<table border=\"1\" class=\"dataframe\">\n",
 901 |        "  <thead>\n",
 902 |        "    <tr style=\"text-align: right;\">\n",
 903 |        "      <th></th>\n",
 904 |        "      <th>0</th>\n",
 905 |        "      <th>1</th>\n",
 906 |        "    </tr>\n",
 907 |        "  </thead>\n",
 908 |        "  <tbody>\n",
 909 |        "    <tr>\n",
 910 |        "      <th>0</th>\n",
 911 |        "      <td>SR Tendulkar</td>\n",
 912 |        "      <td>INDIA)</td>\n",
 913 |        "    </tr>\n",
 914 |        "    <tr>\n",
 915 |        "      <th>1</th>\n",
 916 |        "      <td>RT Ponting</td>\n",
 917 |        "      <td>AUS)</td>\n",
 918 |        "    </tr>\n",
 919 |        "    <tr>\n",
 920 |        "      <th>2</th>\n",
 921 |        "      <td>JH Kallis</td>\n",
 922 |        "      <td>ICC/SA)</td>\n",
 923 |        "    </tr>\n",
 924 |        "    <tr>\n",
 925 |        "      <th>3</th>\n",
 926 |        "      <td>R Dravid</td>\n",
 927 |        "      <td>ICC/INDIA)</td>\n",
 928 |        "    </tr>\n",
 929 |        "    <tr>\n",
 930 |        "      <th>4</th>\n",
 931 |        "      <td>AN Cook</td>\n",
 932 |        "      <td>ENG)</td>\n",
 933 |        "    </tr>\n",
 934 |        "    <tr>\n",
 935 |        "      <th>5</th>\n",
 936 |        "      <td>KC Sangakkara</td>\n",
 937 |        "      <td>SL)</td>\n",
 938 |        "    </tr>\n",
 939 |        "    <tr>\n",
 940 |        "      <th>6</th>\n",
 941 |        "      <td>BC Lara</td>\n",
 942 |        "      <td>ICC/WI)</td>\n",
 943 |        "    </tr>\n",
 944 |        "    <tr>\n",
 945 |        "      <th>7</th>\n",
 946 |        "      <td>S Chanderpaul</td>\n",
 947 |        "      <td>WI)</td>\n",
 948 |        "    </tr>\n",
 949 |        "    <tr>\n",
 950 |        "      <th>8</th>\n",
 951 |        "      <td>DPMD Jayawardene</td>\n",
 952 |        "      <td>SL)</td>\n",
 953 |        "    </tr>\n",
 954 |        "    <tr>\n",
 955 |        "      <th>9</th>\n",
 956 |        "      <td>AR Border</td>\n",
 957 |        "      <td>AUS)</td>\n",
 958 |        "    </tr>\n",
 959 |        "  </tbody>\n",
 960 |        "</table>\n",
 961 |        "</div>"
 962 |       ],
 963 |       "text/plain": [
 964 |        "                   0           1\n",
 965 |        "0      SR Tendulkar       INDIA)\n",
 966 |        "1        RT Ponting         AUS)\n",
 967 |        "2         JH Kallis      ICC/SA)\n",
 968 |        "3          R Dravid   ICC/INDIA)\n",
 969 |        "4           AN Cook         ENG)\n",
 970 |        "5     KC Sangakkara          SL)\n",
 971 |        "6           BC Lara      ICC/WI)\n",
 972 |        "7     S Chanderpaul          WI)\n",
 973 |        "8  DPMD Jayawardene          SL)\n",
 974 |        "9         AR Border         AUS)"
 975 |       ]
 976 |      },
 977 |      "metadata": {},
 978 |      "output_type": "display_data"
 979 |     }
 980 |    ],
 981 |    "source": [
 982 |     "df_player = df['Player'].str.split(\"(\", expand=True)\n",
 983 |     "\n",
 984 |     "display(df_player.head(10))"
 985 |    ]
 986 |   },
 987 |   {
 988 |    "cell_type": "code",
 989 |    "execution_count": 283,
 990 |    "metadata": {},
 991 |    "outputs": [
 992 |     {
 993 |      "data": {
 994 |       "text/html": [
 995 |        "<div>\n",
 996 |        "<style scoped>\n",
 997 |        "    .dataframe tbody tr th:only-of-type {\n",
 998 |        "        vertical-align: middle;\n",
 999 |        "    }\n",
1000 |        "\n",
1001 |        "    .dataframe tbody tr th {\n",
1002 |        "        vertical-align: top;\n",
1003 |        "    }\n",
1004 |        "\n",
1005 |        "    .dataframe thead th {\n",
1006 |        "        text-align: right;\n",
1007 |        "    }\n",
1008 |        "</style>\n",
1009 |        "<table border=\"1\" class=\"dataframe\">\n",
1010 |        "  <thead>\n",
1011 |        "    <tr style=\"text-align: right;\">\n",
1012 |        "      <th></th>\n",
1013 |        "      <th>Player</th>\n",
1014 |        "      <th>Span</th>\n",
1015 |        "      <th>Match</th>\n",
1016 |        "      <th>Innings</th>\n",
1017 |        "      <th>NotOut</th>\n",
1018 |        "      <th>Runs</th>\n",
1019 |        "      <th>Highest_score</th>\n",
1020 |        "      <th>Average</th>\n",
1021 |        "      <th>Centuries</th>\n",
1022 |        "      <th>Half_centuries</th>\n",
1023 |        "      <th>Ducks</th>\n",
1024 |        "      <th>0</th>\n",
1025 |        "      <th>1</th>\n",
1026 |        "    </tr>\n",
1027 |        "  </thead>\n",
1028 |        "  <tbody>\n",
1029 |        "    <tr>\n",
1030 |        "      <th>0</th>\n",
1031 |        "      <td>SR Tendulkar (INDIA)</td>\n",
1032 |        "      <td>1989-2013</td>\n",
1033 |        "      <td>200</td>\n",
1034 |        "      <td>329</td>\n",
1035 |        "      <td>33</td>\n",
1036 |        "      <td>15921</td>\n",
1037 |        "      <td>248*</td>\n",
1038 |        "      <td>53.78</td>\n",
1039 |        "      <td>51</td>\n",
1040 |        "      <td>68</td>\n",
1041 |        "      <td>14</td>\n",
1042 |        "      <td>SR Tendulkar</td>\n",
1043 |        "      <td>INDIA)</td>\n",
1044 |        "    </tr>\n",
1045 |        "    <tr>\n",
1046 |        "      <th>1</th>\n",
1047 |        "      <td>RT Ponting (AUS)</td>\n",
1048 |        "      <td>1995-2012</td>\n",
1049 |        "      <td>168</td>\n",
1050 |        "      <td>287</td>\n",
1051 |        "      <td>29</td>\n",
1052 |        "      <td>13378</td>\n",
1053 |        "      <td>257</td>\n",
1054 |        "      <td>51.85</td>\n",
1055 |        "      <td>41</td>\n",
1056 |        "      <td>62</td>\n",
1057 |        "      <td>17</td>\n",
1058 |        "      <td>RT Ponting</td>\n",
1059 |        "      <td>AUS)</td>\n",
1060 |        "    </tr>\n",
1061 |        "    <tr>\n",
1062 |        "      <th>2</th>\n",
1063 |        "      <td>JH Kallis (ICC/SA)</td>\n",
1064 |        "      <td>1995-2013</td>\n",
1065 |        "      <td>166</td>\n",
1066 |        "      <td>280</td>\n",
1067 |        "      <td>40</td>\n",
1068 |        "      <td>13289</td>\n",
1069 |        "      <td>224</td>\n",
1070 |        "      <td>55.37</td>\n",
1071 |        "      <td>45</td>\n",
1072 |        "      <td>58</td>\n",
1073 |        "      <td>16</td>\n",
1074 |        "      <td>JH Kallis</td>\n",
1075 |        "      <td>ICC/SA)</td>\n",
1076 |        "    </tr>\n",
1077 |        "    <tr>\n",
1078 |        "      <th>3</th>\n",
1079 |        "      <td>R Dravid (ICC/INDIA)</td>\n",
1080 |        "      <td>1996-2012</td>\n",
1081 |        "      <td>164</td>\n",
1082 |        "      <td>286</td>\n",
1083 |        "      <td>32</td>\n",
1084 |        "      <td>13288</td>\n",
1085 |        "      <td>270</td>\n",
1086 |        "      <td>52.31</td>\n",
1087 |        "      <td>36</td>\n",
1088 |        "      <td>63</td>\n",
1089 |        "      <td>8</td>\n",
1090 |        "      <td>R Dravid</td>\n",
1091 |        "      <td>ICC/INDIA)</td>\n",
1092 |        "    </tr>\n",
1093 |        "    <tr>\n",
1094 |        "      <th>4</th>\n",
1095 |        "      <td>AN Cook (ENG)</td>\n",
1096 |        "      <td>2006-2018</td>\n",
1097 |        "      <td>161</td>\n",
1098 |        "      <td>291</td>\n",
1099 |        "      <td>16</td>\n",
1100 |        "      <td>12472</td>\n",
1101 |        "      <td>294</td>\n",
1102 |        "      <td>45.35</td>\n",
1103 |        "      <td>33</td>\n",
1104 |        "      <td>57</td>\n",
1105 |        "      <td>9</td>\n",
1106 |        "      <td>AN Cook</td>\n",
1107 |        "      <td>ENG)</td>\n",
1108 |        "    </tr>\n",
1109 |        "  </tbody>\n",
1110 |        "</table>\n",
1111 |        "</div>"
1112 |       ],
1113 |       "text/plain": [
1114 |        "                 Player       Span  Match  Innings  NotOut   Runs  \\\n",
1115 |        "0  SR Tendulkar (INDIA)  1989-2013    200      329      33  15921   \n",
1116 |        "1      RT Ponting (AUS)  1995-2012    168      287      29  13378   \n",
1117 |        "2    JH Kallis (ICC/SA)  1995-2013    166      280      40  13289   \n",
1118 |        "3  R Dravid (ICC/INDIA)  1996-2012    164      286      32  13288   \n",
1119 |        "4         AN Cook (ENG)  2006-2018    161      291      16  12472   \n",
1120 |        "\n",
1121 |        "  Highest_score  Average  Centuries  Half_centuries  Ducks              0  \\\n",
1122 |        "0          248*    53.78         51              68     14  SR Tendulkar    \n",
1123 |        "1           257    51.85         41              62     17    RT Ponting    \n",
1124 |        "2           224    55.37         45              58     16     JH Kallis    \n",
1125 |        "3           270    52.31         36              63      8      R Dravid    \n",
1126 |        "4           294    45.35         33              57      9       AN Cook    \n",
1127 |        "\n",
1128 |        "            1  \n",
1129 |        "0      INDIA)  \n",
1130 |        "1        AUS)  \n",
1131 |        "2     ICC/SA)  \n",
1132 |        "3  ICC/INDIA)  \n",
1133 |        "4        ENG)  "
1134 |       ]
1135 |      },
1136 |      "metadata": {},
1137 |      "output_type": "display_data"
1138 |     }
1139 |    ],
1140 |    "source": [
1141 |     "df = pd.concat([df, df_player], axis=1)\n",
1142 |     "\n",
1143 |     "display(df.head())"
1144 |    ]
1145 |   },
1146 |   {
1147 |    "cell_type": "markdown",
1148 |    "metadata": {},
1149 |    "source": [
1150 |     "#### How to remove a column?"
1151 |    ]
1152 |   },
1153 |   {
1154 |    "cell_type": "code",
1155 |    "execution_count": 284,
1156 |    "metadata": {},
1157 |    "outputs": [
1158 |     {
1159 |      "data": {
1160 |       "text/html": [
1161 |        "<div>\n",
1162 |        "<style scoped>\n",
1163 |        "    .dataframe tbody tr th:only-of-type {\n",
1164 |        "        vertical-align: middle;\n",
1165 |        "    }\n",
1166 |        "\n",
1167 |        "    .dataframe tbody tr th {\n",
1168 |        "        vertical-align: top;\n",
1169 |        "    }\n",
1170 |        "\n",
1171 |        "    .dataframe thead th {\n",
1172 |        "        text-align: right;\n",
1173 |        "    }\n",
1174 |        "</style>\n",
1175 |        "<table border=\"1\" class=\"dataframe\">\n",
1176 |        "  <thead>\n",
1177 |        "    <tr style=\"text-align: right;\">\n",
1178 |        "      <th></th>\n",
1179 |        "      <th>Span</th>\n",
1180 |        "      <th>Match</th>\n",
1181 |        "      <th>Innings</th>\n",
1182 |        "      <th>NotOut</th>\n",
1183 |        "      <th>Runs</th>\n",
1184 |        "      <th>Highest_score</th>\n",
1185 |        "      <th>Average</th>\n",
1186 |        "      <th>Centuries</th>\n",
1187 |        "      <th>Half_centuries</th>\n",
1188 |        "      <th>Ducks</th>\n",
1189 |        "      <th>0</th>\n",
1190 |        "      <th>1</th>\n",
1191 |        "    </tr>\n",
1192 |        "  </thead>\n",
1193 |        "  <tbody>\n",
1194 |        "    <tr>\n",
1195 |        "      <th>0</th>\n",
1196 |        "      <td>1989-2013</td>\n",
1197 |        "      <td>200</td>\n",
1198 |        "      <td>329</td>\n",
1199 |        "      <td>33</td>\n",
1200 |        "      <td>15921</td>\n",
1201 |        "      <td>248*</td>\n",
1202 |        "      <td>53.78</td>\n",
1203 |        "      <td>51</td>\n",
1204 |        "      <td>68</td>\n",
1205 |        "      <td>14</td>\n",
1206 |        "      <td>SR Tendulkar</td>\n",
1207 |        "      <td>INDIA)</td>\n",
1208 |        "    </tr>\n",
1209 |        "    <tr>\n",
1210 |        "      <th>1</th>\n",
1211 |        "      <td>1995-2012</td>\n",
1212 |        "      <td>168</td>\n",
1213 |        "      <td>287</td>\n",
1214 |        "      <td>29</td>\n",
1215 |        "      <td>13378</td>\n",
1216 |        "      <td>257</td>\n",
1217 |        "      <td>51.85</td>\n",
1218 |        "      <td>41</td>\n",
1219 |        "      <td>62</td>\n",
1220 |        "      <td>17</td>\n",
1221 |        "      <td>RT Ponting</td>\n",
1222 |        "      <td>AUS)</td>\n",
1223 |        "    </tr>\n",
1224 |        "    <tr>\n",
1225 |        "      <th>2</th>\n",
1226 |        "      <td>1995-2013</td>\n",
1227 |        "      <td>166</td>\n",
1228 |        "      <td>280</td>\n",
1229 |        "      <td>40</td>\n",
1230 |        "      <td>13289</td>\n",
1231 |        "      <td>224</td>\n",
1232 |        "      <td>55.37</td>\n",
1233 |        "      <td>45</td>\n",
1234 |        "      <td>58</td>\n",
1235 |        "      <td>16</td>\n",
1236 |        "      <td>JH Kallis</td>\n",
1237 |        "      <td>ICC/SA)</td>\n",
1238 |        "    </tr>\n",
1239 |        "    <tr>\n",
1240 |        "      <th>3</th>\n",
1241 |        "      <td>1996-2012</td>\n",
1242 |        "      <td>164</td>\n",
1243 |        "      <td>286</td>\n",
1244 |        "      <td>32</td>\n",
1245 |        "      <td>13288</td>\n",
1246 |        "      <td>270</td>\n",
1247 |        "      <td>52.31</td>\n",
1248 |        "      <td>36</td>\n",
1249 |        "      <td>63</td>\n",
1250 |        "      <td>8</td>\n",
1251 |        "      <td>R Dravid</td>\n",
1252 |        "      <td>ICC/INDIA)</td>\n",
1253 |        "    </tr>\n",
1254 |        "    <tr>\n",
1255 |        "      <th>4</th>\n",
1256 |        "      <td>2006-2018</td>\n",
1257 |        "      <td>161</td>\n",
1258 |        "      <td>291</td>\n",
1259 |        "      <td>16</td>\n",
1260 |        "      <td>12472</td>\n",
1261 |        "      <td>294</td>\n",
1262 |        "      <td>45.35</td>\n",
1263 |        "      <td>33</td>\n",
1264 |        "      <td>57</td>\n",
1265 |        "      <td>9</td>\n",
1266 |        "      <td>AN Cook</td>\n",
1267 |        "      <td>ENG)</td>\n",
1268 |        "    </tr>\n",
1269 |        "  </tbody>\n",
1270 |        "</table>\n",
1271 |        "</div>"
1272 |       ],
1273 |       "text/plain": [
1274 |        "        Span  Match  Innings  NotOut   Runs Highest_score  Average  Centuries  \\\n",
1275 |        "0  1989-2013    200      329      33  15921          248*    53.78         51   \n",
1276 |        "1  1995-2012    168      287      29  13378           257    51.85         41   \n",
1277 |        "2  1995-2013    166      280      40  13289           224    55.37         45   \n",
1278 |        "3  1996-2012    164      286      32  13288           270    52.31         36   \n",
1279 |        "4  2006-2018    161      291      16  12472           294    45.35         33   \n",
1280 |        "\n",
1281 |        "   Half_centuries  Ducks              0           1  \n",
1282 |        "0              68     14  SR Tendulkar       INDIA)  \n",
1283 |        "1              62     17    RT Ponting         AUS)  \n",
1284 |        "2              58     16     JH Kallis      ICC/SA)  \n",
1285 |        "3              63      8      R Dravid   ICC/INDIA)  \n",
1286 |        "4              57      9       AN Cook         ENG)  "
1287 |       ]
1288 |      },
1289 |      "metadata": {},
1290 |      "output_type": "display_data"
1291 |     }
1292 |    ],
1293 |    "source": [
1294 |     "# line 1\n",
1295 |     "# df = df.drop('Player', axis=1)\n",
1296 |     "\n",
1297 |     "# line 2\n",
1298 |     "df.drop('Player', axis=1, inplace=True)\n",
1299 |     "\n",
1300 |     "# line 1 and line 2 both are same\n",
1301 |     "\n",
1302 |     "display(df.head())"
1303 |    ]
1304 |   },
1305 |   {
1306 |    "cell_type": "code",
1307 |    "execution_count": 285,
1308 |    "metadata": {},
1309 |    "outputs": [
1310 |     {
1311 |      "data": {
1312 |       "text/html": [
1313 |        "<div>\n",
1314 |        "<style scoped>\n",
1315 |        "    .dataframe tbody tr th:only-of-type {\n",
1316 |        "        vertical-align: middle;\n",
1317 |        "    }\n",
1318 |        "\n",
1319 |        "    .dataframe tbody tr th {\n",
1320 |        "        vertical-align: top;\n",
1321 |        "    }\n",
1322 |        "\n",
1323 |        "    .dataframe thead th {\n",
1324 |        "        text-align: right;\n",
1325 |        "    }\n",
1326 |        "</style>\n",
1327 |        "<table border=\"1\" class=\"dataframe\">\n",
1328 |        "  <thead>\n",
1329 |        "    <tr style=\"text-align: right;\">\n",
1330 |        "      <th></th>\n",
1331 |        "      <th>Span</th>\n",
1332 |        "      <th>Match</th>\n",
1333 |        "      <th>Innings</th>\n",
1334 |        "      <th>NotOut</th>\n",
1335 |        "      <th>Runs</th>\n",
1336 |        "      <th>Highest_score</th>\n",
1337 |        "      <th>Average</th>\n",
1338 |        "      <th>Centuries</th>\n",
1339 |        "      <th>Half_centuries</th>\n",
1340 |        "      <th>Ducks</th>\n",
1341 |        "      <th>Player</th>\n",
1342 |        "      <th>Country</th>\n",
1343 |        "    </tr>\n",
1344 |        "  </thead>\n",
1345 |        "  <tbody>\n",
1346 |        "    <tr>\n",
1347 |        "      <th>0</th>\n",
1348 |        "      <td>1989-2013</td>\n",
1349 |        "      <td>200</td>\n",
1350 |        "      <td>329</td>\n",
1351 |        "      <td>33</td>\n",
1352 |        "      <td>15921</td>\n",
1353 |        "      <td>248*</td>\n",
1354 |        "      <td>53.78</td>\n",
1355 |        "      <td>51</td>\n",
1356 |        "      <td>68</td>\n",
1357 |        "      <td>14</td>\n",
1358 |        "      <td>SR Tendulkar</td>\n",
1359 |        "      <td>INDIA)</td>\n",
1360 |        "    </tr>\n",
1361 |        "    <tr>\n",
1362 |        "      <th>1</th>\n",
1363 |        "      <td>1995-2012</td>\n",
1364 |        "      <td>168</td>\n",
1365 |        "      <td>287</td>\n",
1366 |        "      <td>29</td>\n",
1367 |        "      <td>13378</td>\n",
1368 |        "      <td>257</td>\n",
1369 |        "      <td>51.85</td>\n",
1370 |        "      <td>41</td>\n",
1371 |        "      <td>62</td>\n",
1372 |        "      <td>17</td>\n",
1373 |        "      <td>RT Ponting</td>\n",
1374 |        "      <td>AUS)</td>\n",
1375 |        "    </tr>\n",
1376 |        "    <tr>\n",
1377 |        "      <th>2</th>\n",
1378 |        "      <td>1995-2013</td>\n",
1379 |        "      <td>166</td>\n",
1380 |        "      <td>280</td>\n",
1381 |        "      <td>40</td>\n",
1382 |        "      <td>13289</td>\n",
1383 |        "      <td>224</td>\n",
1384 |        "      <td>55.37</td>\n",
1385 |        "      <td>45</td>\n",
1386 |        "      <td>58</td>\n",
1387 |        "      <td>16</td>\n",
1388 |        "      <td>JH Kallis</td>\n",
1389 |        "      <td>ICC/SA)</td>\n",
1390 |        "    </tr>\n",
1391 |        "    <tr>\n",
1392 |        "      <th>3</th>\n",
1393 |        "      <td>1996-2012</td>\n",
1394 |        "      <td>164</td>\n",
1395 |        "      <td>286</td>\n",
1396 |        "      <td>32</td>\n",
1397 |        "      <td>13288</td>\n",
1398 |        "      <td>270</td>\n",
1399 |        "      <td>52.31</td>\n",
1400 |        "      <td>36</td>\n",
1401 |        "      <td>63</td>\n",
1402 |        "      <td>8</td>\n",
1403 |        "      <td>R Dravid</td>\n",
1404 |        "      <td>ICC/INDIA)</td>\n",
1405 |        "    </tr>\n",
1406 |        "    <tr>\n",
1407 |        "      <th>4</th>\n",
1408 |        "      <td>2006-2018</td>\n",
1409 |        "      <td>161</td>\n",
1410 |        "      <td>291</td>\n",
1411 |        "      <td>16</td>\n",
1412 |        "      <td>12472</td>\n",
1413 |        "      <td>294</td>\n",
1414 |        "      <td>45.35</td>\n",
1415 |        "      <td>33</td>\n",
1416 |        "      <td>57</td>\n",
1417 |        "      <td>9</td>\n",
1418 |        "      <td>AN Cook</td>\n",
1419 |        "      <td>ENG)</td>\n",
1420 |        "    </tr>\n",
1421 |        "  </tbody>\n",
1422 |        "</table>\n",
1423 |        "</div>"
1424 |       ],
1425 |       "text/plain": [
1426 |        "        Span  Match  Innings  NotOut   Runs Highest_score  Average  Centuries  \\\n",
1427 |        "0  1989-2013    200      329      33  15921          248*    53.78         51   \n",
1428 |        "1  1995-2012    168      287      29  13378           257    51.85         41   \n",
1429 |        "2  1995-2013    166      280      40  13289           224    55.37         45   \n",
1430 |        "3  1996-2012    164      286      32  13288           270    52.31         36   \n",
1431 |        "4  2006-2018    161      291      16  12472           294    45.35         33   \n",
1432 |        "\n",
1433 |        "   Half_centuries  Ducks         Player     Country  \n",
1434 |        "0              68     14  SR Tendulkar       INDIA)  \n",
1435 |        "1              62     17    RT Ponting         AUS)  \n",
1436 |        "2              58     16     JH Kallis      ICC/SA)  \n",
1437 |        "3              63      8      R Dravid   ICC/INDIA)  \n",
1438 |        "4              57      9       AN Cook         ENG)  "
1439 |       ]
1440 |      },
1441 |      "metadata": {},
1442 |      "output_type": "display_data"
1443 |     }
1444 |    ],
1445 |    "source": [
1446 |     "df = df.rename(columns={0: 'Player',\n",
1447 |     "                        1: 'Country'})\n",
1448 |     "\n",
1449 |     "display(df.head())"
1450 |    ]
1451 |   },
1452 |   {
1453 |    "cell_type": "markdown",
1454 |    "metadata": {},
1455 |    "source": [
1456 |     "#### How to replace/remove a value from a pandas column?"
1457 |    ]
1458 |   },
1459 |   {
1460 |    "cell_type": "code",
1461 |    "execution_count": 286,
1462 |    "metadata": {},
1463 |    "outputs": [
1464 |     {
1465 |      "data": {
1466 |       "text/html": [
1467 |        "<div>\n",
1468 |        "<style scoped>\n",
1469 |        "    .dataframe tbody tr th:only-of-type {\n",
1470 |        "        vertical-align: middle;\n",
1471 |        "    }\n",
1472 |        "\n",
1473 |        "    .dataframe tbody tr th {\n",
1474 |        "        vertical-align: top;\n",
1475 |        "    }\n",
1476 |        "\n",
1477 |        "    .dataframe thead th {\n",
1478 |        "        text-align: right;\n",
1479 |        "    }\n",
1480 |        "</style>\n",
1481 |        "<table border=\"1\" class=\"dataframe\">\n",
1482 |        "  <thead>\n",
1483 |        "    <tr style=\"text-align: right;\">\n",
1484 |        "      <th></th>\n",
1485 |        "      <th>Span</th>\n",
1486 |        "      <th>Match</th>\n",
1487 |        "      <th>Innings</th>\n",
1488 |        "      <th>NotOut</th>\n",
1489 |        "      <th>Runs</th>\n",
1490 |        "      <th>Highest_score</th>\n",
1491 |        "      <th>Average</th>\n",
1492 |        "      <th>Centuries</th>\n",
1493 |        "      <th>Half_centuries</th>\n",
1494 |        "      <th>Ducks</th>\n",
1495 |        "      <th>Player</th>\n",
1496 |        "      <th>Country</th>\n",
1497 |        "    </tr>\n",
1498 |        "  </thead>\n",
1499 |        "  <tbody>\n",
1500 |        "    <tr>\n",
1501 |        "      <th>0</th>\n",
1502 |        "      <td>1989-2013</td>\n",
1503 |        "      <td>200</td>\n",
1504 |        "      <td>329</td>\n",
1505 |        "      <td>33</td>\n",
1506 |        "      <td>15921</td>\n",
1507 |        "      <td>248*</td>\n",
1508 |        "      <td>53.78</td>\n",
1509 |        "      <td>51</td>\n",
1510 |        "      <td>68</td>\n",
1511 |        "      <td>14</td>\n",
1512 |        "      <td>SR Tendulkar</td>\n",
1513 |        "      <td>INDIA</td>\n",
1514 |        "    </tr>\n",
1515 |        "    <tr>\n",
1516 |        "      <th>1</th>\n",
1517 |        "      <td>1995-2012</td>\n",
1518 |        "      <td>168</td>\n",
1519 |        "      <td>287</td>\n",
1520 |        "      <td>29</td>\n",
1521 |        "      <td>13378</td>\n",
1522 |        "      <td>257</td>\n",
1523 |        "      <td>51.85</td>\n",
1524 |        "      <td>41</td>\n",
1525 |        "      <td>62</td>\n",
1526 |        "      <td>17</td>\n",
1527 |        "      <td>RT Ponting</td>\n",
1528 |        "      <td>AUS</td>\n",
1529 |        "    </tr>\n",
1530 |        "    <tr>\n",
1531 |        "      <th>2</th>\n",
1532 |        "      <td>1995-2013</td>\n",
1533 |        "      <td>166</td>\n",
1534 |        "      <td>280</td>\n",
1535 |        "      <td>40</td>\n",
1536 |        "      <td>13289</td>\n",
1537 |        "      <td>224</td>\n",
1538 |        "      <td>55.37</td>\n",
1539 |        "      <td>45</td>\n",
1540 |        "      <td>58</td>\n",
1541 |        "      <td>16</td>\n",
1542 |        "      <td>JH Kallis</td>\n",
1543 |        "      <td>ICC/SA</td>\n",
1544 |        "    </tr>\n",
1545 |        "    <tr>\n",
1546 |        "      <th>3</th>\n",
1547 |        "      <td>1996-2012</td>\n",
1548 |        "      <td>164</td>\n",
1549 |        "      <td>286</td>\n",
1550 |        "      <td>32</td>\n",
1551 |        "      <td>13288</td>\n",
1552 |        "      <td>270</td>\n",
1553 |        "      <td>52.31</td>\n",
1554 |        "      <td>36</td>\n",
1555 |        "      <td>63</td>\n",
1556 |        "      <td>8</td>\n",
1557 |        "      <td>R Dravid</td>\n",
1558 |        "      <td>ICC/INDIA</td>\n",
1559 |        "    </tr>\n",
1560 |        "    <tr>\n",
1561 |        "      <th>4</th>\n",
1562 |        "      <td>2006-2018</td>\n",
1563 |        "      <td>161</td>\n",
1564 |        "      <td>291</td>\n",
1565 |        "      <td>16</td>\n",
1566 |        "      <td>12472</td>\n",
1567 |        "      <td>294</td>\n",
1568 |        "      <td>45.35</td>\n",
1569 |        "      <td>33</td>\n",
1570 |        "      <td>57</td>\n",
1571 |        "      <td>9</td>\n",
1572 |        "      <td>AN Cook</td>\n",
1573 |        "      <td>ENG</td>\n",
1574 |        "    </tr>\n",
1575 |        "  </tbody>\n",
1576 |        "</table>\n",
1577 |        "</div>"
1578 |       ],
1579 |       "text/plain": [
1580 |        "        Span  Match  Innings  NotOut   Runs Highest_score  Average  Centuries  \\\n",
1581 |        "0  1989-2013    200      329      33  15921          248*    53.78         51   \n",
1582 |        "1  1995-2012    168      287      29  13378           257    51.85         41   \n",
1583 |        "2  1995-2013    166      280      40  13289           224    55.37         45   \n",
1584 |        "3  1996-2012    164      286      32  13288           270    52.31         36   \n",
1585 |        "4  2006-2018    161      291      16  12472           294    45.35         33   \n",
1586 |        "\n",
1587 |        "   Half_centuries  Ducks         Player    Country  \n",
1588 |        "0              68     14  SR Tendulkar       INDIA  \n",
1589 |        "1              62     17    RT Ponting         AUS  \n",
1590 |        "2              58     16     JH Kallis      ICC/SA  \n",
1591 |        "3              63      8      R Dravid   ICC/INDIA  \n",
1592 |        "4              57      9       AN Cook         ENG  "
1593 |       ]
1594 |      },
1595 |      "metadata": {},
1596 |      "output_type": "display_data"
1597 |     }
1598 |    ],
1599 |    "source": [
1600 |     "df['Country'] = df['Country'].str.replace(\")\", \"\")\n",
1601 |     "\n",
1602 |     "display(df.head())"
1603 |    ]
1604 |   },
1605 |   {
1606 |    "cell_type": "code",
1607 |    "execution_count": 287,
1608 |    "metadata": {},
1609 |    "outputs": [
1610 |     {
1611 |      "name": "stdout",
1612 |      "output_type": "stream",
1613 |      "text": [
1614 |       "Index(['Span', 'Match', 'Innings', 'NotOut', 'Runs', 'Highest_score',\n",
1615 |       "       'Average', 'Centuries', 'Half_centuries', 'Ducks', 'Player', 'Country'],\n",
1616 |       "      dtype='object')\n"
1617 |      ]
1618 |     }
1619 |    ],
1620 |    "source": [
1621 |     "print(df.columns)\n",
1622 |     "\n",
1623 |     "new_col_sequence = ['Player', 'Country', 'Span', 'Match', 'Innings', 'NotOut', 'Runs', 'Highest_score',\n",
1624 |     "       'Average', 'Centuries', 'Half_centuries', 'Ducks']"
1625 |    ]
1626 |   },
1627 |   {
1628 |    "cell_type": "code",
1629 |    "execution_count": 288,
1630 |    "metadata": {},
1631 |    "outputs": [
1632 |     {
1633 |      "data": {
1634 |       "text/html": [
1635 |        "<div>\n",
1636 |        "<style scoped>\n",
1637 |        "    .dataframe tbody tr th:only-of-type {\n",
1638 |        "        vertical-align: middle;\n",
1639 |        "    }\n",
1640 |        "\n",
1641 |        "    .dataframe tbody tr th {\n",
1642 |        "        vertical-align: top;\n",
1643 |        "    }\n",
1644 |        "\n",
1645 |        "    .dataframe thead th {\n",
1646 |        "        text-align: right;\n",
1647 |        "    }\n",
1648 |        "</style>\n",
1649 |        "<table border=\"1\" class=\"dataframe\">\n",
1650 |        "  <thead>\n",
1651 |        "    <tr style=\"text-align: right;\">\n",
1652 |        "      <th></th>\n",
1653 |        "      <th>Player</th>\n",
1654 |        "      <th>Country</th>\n",
1655 |        "      <th>Span</th>\n",
1656 |        "      <th>Match</th>\n",
1657 |        "      <th>Innings</th>\n",
1658 |        "      <th>NotOut</th>\n",
1659 |        "      <th>Runs</th>\n",
1660 |        "      <th>Highest_score</th>\n",
1661 |        "      <th>Average</th>\n",
1662 |        "      <th>Centuries</th>\n",
1663 |        "      <th>Half_centuries</th>\n",
1664 |        "      <th>Ducks</th>\n",
1665 |        "    </tr>\n",
1666 |        "  </thead>\n",
1667 |        "  <tbody>\n",
1668 |        "    <tr>\n",
1669 |        "      <th>0</th>\n",
1670 |        "      <td>SR Tendulkar</td>\n",
1671 |        "      <td>INDIA</td>\n",
1672 |        "      <td>1989-2013</td>\n",
1673 |        "      <td>200</td>\n",
1674 |        "      <td>329</td>\n",
1675 |        "      <td>33</td>\n",
1676 |        "      <td>15921</td>\n",
1677 |        "      <td>248*</td>\n",
1678 |        "      <td>53.78</td>\n",
1679 |        "      <td>51</td>\n",
1680 |        "      <td>68</td>\n",
1681 |        "      <td>14</td>\n",
1682 |        "    </tr>\n",
1683 |        "    <tr>\n",
1684 |        "      <th>1</th>\n",
1685 |        "      <td>RT Ponting</td>\n",
1686 |        "      <td>AUS</td>\n",
1687 |        "      <td>1995-2012</td>\n",
1688 |        "      <td>168</td>\n",
1689 |        "      <td>287</td>\n",
1690 |        "      <td>29</td>\n",
1691 |        "      <td>13378</td>\n",
1692 |        "      <td>257</td>\n",
1693 |        "      <td>51.85</td>\n",
1694 |        "      <td>41</td>\n",
1695 |        "      <td>62</td>\n",
1696 |        "      <td>17</td>\n",
1697 |        "    </tr>\n",
1698 |        "    <tr>\n",
1699 |        "      <th>2</th>\n",
1700 |        "      <td>JH Kallis</td>\n",
1701 |        "      <td>ICC/SA</td>\n",
1702 |        "      <td>1995-2013</td>\n",
1703 |        "      <td>166</td>\n",
1704 |        "      <td>280</td>\n",
1705 |        "      <td>40</td>\n",
1706 |        "      <td>13289</td>\n",
1707 |        "      <td>224</td>\n",
1708 |        "      <td>55.37</td>\n",
1709 |        "      <td>45</td>\n",
1710 |        "      <td>58</td>\n",
1711 |        "      <td>16</td>\n",
1712 |        "    </tr>\n",
1713 |        "    <tr>\n",
1714 |        "      <th>3</th>\n",
1715 |        "      <td>R Dravid</td>\n",
1716 |        "      <td>ICC/INDIA</td>\n",
1717 |        "      <td>1996-2012</td>\n",
1718 |        "      <td>164</td>\n",
1719 |        "      <td>286</td>\n",
1720 |        "      <td>32</td>\n",
1721 |        "      <td>13288</td>\n",
1722 |        "      <td>270</td>\n",
1723 |        "      <td>52.31</td>\n",
1724 |        "      <td>36</td>\n",
1725 |        "      <td>63</td>\n",
1726 |        "      <td>8</td>\n",
1727 |        "    </tr>\n",
1728 |        "    <tr>\n",
1729 |        "      <th>4</th>\n",
1730 |        "      <td>AN Cook</td>\n",
1731 |        "      <td>ENG</td>\n",
1732 |        "      <td>2006-2018</td>\n",
1733 |        "      <td>161</td>\n",
1734 |        "      <td>291</td>\n",
1735 |        "      <td>16</td>\n",
1736 |        "      <td>12472</td>\n",
1737 |        "      <td>294</td>\n",
1738 |        "      <td>45.35</td>\n",
1739 |        "      <td>33</td>\n",
1740 |        "      <td>57</td>\n",
1741 |        "      <td>9</td>\n",
1742 |        "    </tr>\n",
1743 |        "  </tbody>\n",
1744 |        "</table>\n",
1745 |        "</div>"
1746 |       ],
1747 |       "text/plain": [
1748 |        "          Player    Country       Span  Match  Innings  NotOut   Runs  \\\n",
1749 |        "0  SR Tendulkar       INDIA  1989-2013    200      329      33  15921   \n",
1750 |        "1    RT Ponting         AUS  1995-2012    168      287      29  13378   \n",
1751 |        "2     JH Kallis      ICC/SA  1995-2013    166      280      40  13289   \n",
1752 |        "3      R Dravid   ICC/INDIA  1996-2012    164      286      32  13288   \n",
1753 |        "4       AN Cook         ENG  2006-2018    161      291      16  12472   \n",
1754 |        "\n",
1755 |        "  Highest_score  Average  Centuries  Half_centuries  Ducks  \n",
1756 |        "0          248*    53.78         51              68     14  \n",
1757 |        "1           257    51.85         41              62     17  \n",
1758 |        "2           224    55.37         45              58     16  \n",
1759 |        "3           270    52.31         36              63      8  \n",
1760 |        "4           294    45.35         33              57      9  "
1761 |       ]
1762 |      },
1763 |      "metadata": {},
1764 |      "output_type": "display_data"
1765 |     }
1766 |    ],
1767 |    "source": [
1768 |     "df = df[new_col_sequence]\n",
1769 |     "\n",
1770 |     "display(df.head())"
1771 |    ]
1772 |   },
1773 |   {
1774 |    "cell_type": "code",
1775 |    "execution_count": null,
1776 |    "metadata": {},
1777 |    "outputs": [],
1778 |    "source": []
1779 |   }
1780 |  ],
1781 |  "metadata": {
1782 |   "kernelspec": {
1783 |    "display_name": "Python 3",
1784 |    "language": "python",
1785 |    "name": "python3"
1786 |   },
1787 |   "language_info": {
1788 |    "codemirror_mode": {
1789 |     "name": "ipython",
1790 |     "version": 3
1791 |    },
1792 |    "file_extension": ".py",
1793 |    "mimetype": "text/x-python",
1794 |    "name": "python",
1795 |    "nbconvert_exporter": "python",
1796 |    "pygments_lexer": "ipython3",
1797 |    "version": "3.8.5"
1798 |   }
1799 |  },
1800 |  "nbformat": 4,
1801 |  "nbformat_minor": 4
1802 | }
1803 | 


--------------------------------------------------------------------------------
/README.md:
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 1 | # Data Analysis with Python
 2 | 
 3 | #### Lecture 01: Importing Data with Pandas
 4 | - challenges of reading a .csv file
 5 | - How to deal with UnicodeDecodeError?
 6 | - reading a csv file by changing the engine
 7 | - choose columns by name before reading a csv file
 8 | - choose columns by number before reading a csv file
 9 | - reading only the first n number of rows
10 | 
11 | #### Lecture 02: Data Preprocessing with Pandas
12 | - reading a .txt (text) or an excel (.xlsx) file
13 | - dealing with the UnicodeDecodeError?
14 | - renaming column names
15 | - creating a new DataFrame?
16 | - concatenation of two dataframes
17 | - column splitting
18 | - creating a new column in a dataframe
19 | - replace/removing a value from a pandas column
20 | - removing a column from the dataframe
21 | 
22 | #### Lecture 03: HW review session
23 | 
24 | #### Lecture 04: Data Preproccessing with Pandas
25 | - How to extract new information from a column?
26 | - How to create a column based on a condition or function?
27 | - Removing a string from a column
28 | - Checking the unique values for each column
29 | - performing calculation in dataframe columns
30 | - dataframe sorting
31 | - dataframe slicing
32 | 
33 | #### Lecture 05: Data Cleaning - Handling Missing Values
34 | - performing data cleaning
35 | - data visualization of missing values
36 | - string to datetime conversion
37 | - removing missing values
38 | - replacing missing values by: 1. mean, 2. median, 3. constant, 4. interpolation, 5. forward imputation, 6. backward imputation
39 | 
40 | #### Lecture 6: Data Joining/Merging using Pandas
41 | - inner join, outer join, left join, right join
42 | 
43 | #### Lecture 7: Data Aggregation/grouping and Pivot table using Pandas
44 | - Data filtering
45 | - Data preprocessing
46 | - Data Aggregation/grouping 
47 | - Pivot table
48 | - Data Visualization: Barplot
49 | 
50 | #### Lecture 8: Data Correlation and Categorical Variable Encoding
51 | - Data Correlation
52 | - Heatmap
53 | - Dealing with categorical variables
54 | - Label encoding
55 | - One-hot encoding
56 | - Categorical variable creation from the numeric variable
57 | 


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/friends.xlsx:
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https://raw.githubusercontent.com/SKawsar/Data_Analysis_with_Python/1ca7520aafd8b860647d114fc42a096dda2de071/friends.xlsx


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/gre.csv:
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 1 | Date,verbal_score,quant_score
 2 | 09/01/2021,0,1
 3 | 09/02/2021,1,2
 4 | 09/03/2021,2,3
 5 | 09/04/2021,3,
 6 | 09/05/2021,4,
 7 | 09/06/2021,,
 8 | 09/07/2021,,7
 9 | 09/08/2021,7,8
10 | 09/09/2021,8,9
11 | 09/10/2021,9,10


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/most_runs_in_test_cricket.csv:
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https://raw.githubusercontent.com/SKawsar/Data_Analysis_with_Python/1ca7520aafd8b860647d114fc42a096dda2de071/most_runs_in_test_cricket.csv


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/most_runs_in_test_cricket.txt:
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https://raw.githubusercontent.com/SKawsar/Data_Analysis_with_Python/1ca7520aafd8b860647d114fc42a096dda2de071/most_runs_in_test_cricket.txt


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/test_cricket.xlsx:
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https://raw.githubusercontent.com/SKawsar/Data_Analysis_with_Python/1ca7520aafd8b860647d114fc42a096dda2de071/test_cricket.xlsx


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/wickets.csv:
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 1 | Player,Span,Mat,Inns,Balls,Runs,Wkts,BBI,BBM,Ave,Econ,SR,5,10
 2 | M Muralitharan (ICC/SL),1992-2010,133,230,44039,18180,800,9/51,16/220,22.72,2.47,55,67,22
 3 | SK Warne (AUS),1992-2007,145,273,40705,17995,708,8/71,12/128,25.41,2.65,57.4,37,10
 4 | JM Anderson (ENG),2003-2021,164*,304,35079,16575,623,7/42,11/71,26.6,2.83,56.3,30,3
 5 | A Kumble (INDIA),1990-2008,132,236,40850,18355,619,10/74,14/149,29.65,2.69,65.9,35,8
 6 | GD McGrath (AUS),1993-2007,124,243,29248,12186,563,8/24,10/27,21.64,2.49,51.9,29,3
 7 | SCJ Broad (ENG),2007-2021,149,274,29863,14590,524,8/15,11/121,27.84,2.93,56.9,18,3
 8 | CA Walsh (WI),1984-2001,132,242,30019,12688,519,7/37,13/55,24.44,2.53,57.8,22,3
 9 | DW Steyn (SA),2004-2019,93,171,18608,10077,439,7/51,11/60,22.95,3.24,42.3,26,5
10 | N Kapil Dev (INDIA),1978-1994,131,227,27740,12867,434,9/83,11/146,29.64,2.78,63.9,23,2
11 | HMRKB Herath (SL),1999-2018,93,170,25993,12157,433,9/127,14/184,28.07,2.8,60,34,9
12 | Sir RJ Hadlee (NZ),1973-1990,86,150,21918,9611,431,9/52,15/123,22.29,2.63,50.8,36,9
13 | SM Pollock (SA),1995-2008,108,202,24353,9733,421,7/87,10/147,23.11,2.39,57.8,16,1
14 | Harbhajan Singh (INDIA),1998-2015,103,190,28580,13537,417,8/84,15/217,32.46,2.84,68.5,25,5
15 | Wasim Akram (PAK),1985-2002,104,181,22627,9779,414,7/119,11/110,23.62,2.59,54.6,25,5
16 | R Ashwin (INDIA),2011-2021,79,148,21670,10144,413,7/59,13/140,24.56,2.8,52.4,30,7
17 | CEL Ambrose (WI),1988-2000,98,179,22103,8501,405,8/45,11/84,20.99,2.3,54.5,22,3
18 | NM Lyon (AUS),2011-2021,100,191,25690,12816,399,8/50,13/154,32.12,2.99,64.3,18,3
19 | M Ntini (SA),1998-2009,101,190,20834,11242,390,7/37,13/132,28.82,3.23,53.4,18,4
20 | IT Botham (ENG),1977-1992,102,168,21815,10878,383,8/34,13/106,28.4,2.99,56.9,27,4
21 | MD Marshall (WI),1978-1991,81,151,17584,7876,376,7/22,11/89,20.94,2.68,46.7,22,4
22 | Waqar Younis (PAK),1989-2003,87,154,16224,8788,373,7/76,13/135,23.56,3.25,43.4,22,5
23 | Imran Khan (PAK),1971-1992,88,142,19458,8258,362,8/58,14/116,22.81,2.54,53.7,23,6
24 | DL Vettori (ICC/NZ),1997-2014,113,187,28814,12441,362,7/87,12/149,34.36,2.59,79.5,20,3
25 | DK Lillee (AUS),1971-1984,70,132,18467,8493,355,7/83,11/123,23.92,2.75,52,23,7
26 | WPUJC Vaas (SL),1994-2009,111,194,23438,10501,355,7/71,14/191,29.58,2.68,66,12,2
27 | AA Donald (SA),1992-2002,72,129,15519,7344,330,8/71,12/139,22.25,2.83,47,20,3
28 | RGD Willis (ENG),1971-1984,90,165,17357,8190,325,8/43,9/92,25.2,2.83,53.4,16,0
29 | TG Southee (NZ),2008-2021,79,148,17886,8862,314,7/64,10/108,28.22,2.97,56.9,12,1
30 | MG Johnson (AUS),2007-2015,73,140,16001,8891,313,8/61,12/127,28.4,3.33,51.1,12,3
31 | Z Khan (INDIA),2000-2014,92,165,18785,10247,311,7/87,10/149,32.94,3.27,60.4,11,1
32 | B Lee (AUS),1999-2008,76,150,16531,9554,310,5/30,9/171,30.81,3.46,53.3,10,0
33 | M Morkel (SA),2006-2018,86,160,16498,8550,309,6/23,9/110,27.66,3.1,53.3,8,0
34 | LR Gibbs (WI),1958-1976,79,148,27115,8989,309,8/38,11/157,29.09,1.98,87.7,18,2
35 | FS Trueman (ENG),1952-1965,67,127,15178,6625,307,8/31,12/119,21.57,2.61,49.4,17,3
36 | I Sharma (INDIA),2007-2021,103*,183,18692,9849,306,7/74,10/108,32.18,3.16,61,11,1
37 | DL Underwood (ENG),1966-1982,86,151,21862,7674,297,8/51,13/71,25.83,2.1,73.6,17,6
38 | TA Boult (NZ),2011-2021,73,139,16271,8080,292,6/30,10/80,27.67,2.97,55.7,8,1
39 | JH Kallis (ICC/SA),1995-2013,166,272,20232,9535,292,6/54,9/92,32.65,2.82,69.2,5,0
40 | CJ McDermott (AUS),1984-1996,71,124,16586,8332,291,8/97,11/157,28.63,3.01,56.9,14,2
41 | BS Bedi (INDIA),1966-1979,67,118,21364,7637,266,7/98,10/194,28.71,2.14,80.3,14,1
42 | Danish Kaneria (PAK),2000-2010,61,112,17697,9082,261,7/77,12/94,34.79,3.07,67.8,15,2
43 | J Garner (WI),1977-1987,58,111,13169,5433,259,6/56,9/108,20.97,2.47,50.8,7,0
44 | JN Gillespie (AUS),1996-2006,71,137,14234,6770,259,7/37,9/80,26.13,2.85,54.9,8,0
45 | MA Starc (AUS),2011-2021,61,117,12575,7031,255,6/50,11/94,27.57,3.35,49.3,13,2
46 | GP Swann (ENG),2008-2013,60,109,15349,7642,255,6/65,10/132,29.96,2.98,60.1,17,3
47 | JB Statham (ENG),1951-1965,70,129,16056,6261,252,7/39,11/97,24.84,2.33,63.7,9,1
48 | MA Holding (WI),1975-1987,60,113,12680,5898,249,8/92,14/149,23.68,2.79,50.9,13,2
49 | R Benaud (AUS),1952-1964,63,116,19108,6704,248,7/72,11/105,27.03,2.1,77,16,1
50 | MJ Hoggard (ENG),2000-2008,67,122,13909,7564,248,7/61,12/205,30.5,3.26,56,7,1
51 | GD McKenzie (AUS),1961-1971,60,113,17681,7328,246,8/71,10/91,29.78,2.48,71.8,16,3
52 | BS Chandrasekhar (INDIA),1964-1979,58,97,15963,7199,242,8/79,12/104,29.74,2.7,65.9,16,2
53 | AV Bedser (ENG),1946-1955,51,92,15918,5876,236,7/44,14/99,24.89,2.21,67.4,15,5
54 | J Srinath (INDIA),1991-2002,67,121,15104,7196,236,8/86,13/132,30.49,2.85,64,10,1
55 | Abdul Qadir (PAK),1977-1990,67,111,17126,7742,236,9/56,13/101,32.8,2.71,72.5,15,5
56 | Yasir Shah (PAK),2014-2021,46*,84,13607,7248,235,8/41,14/184,30.84,3.19,57.9,16,3
57 | GS Sobers (WI),1954-1974,93,159,21599,7999,235,6/73,8/80,34.03,2.22,91.9,6,0
58 | AR Caddick (ENG),1993-2003,62,105,13558,6999,234,7/46,10/215,29.91,3.09,57.9,13,1
59 | CS Martin (NZ),2000-2013,71,126,14026,7878,233,6/26,11/180,33.81,3.37,60.1,10,1
60 | N Wagner (NZ),2012-2021,54,102,11991,6046,229,7/39,9/73,26.4,3.02,52.3,9,0
61 | D Gough (ENG),1994-2003,58,95,11821,6503,229,6/42,9/92,28.39,3.3,51.6,9,0
62 | RR Lindwall (AUS),1946-1960,61,113,13650,5251,228,7/38,9/70,23.03,2.3,59.8,12,0
63 | SJ Harmison (ENG/ICC),2002-2009,63,115,13375,7192,226,7/12,11/76,31.82,3.22,59.1,8,1
64 | A Flintoff (ENG/ICC),1998-2009,79,137,14951,7410,226,5/58,8/156,32.78,2.97,66.1,3,0
65 | KAJ Roach (WI),2009-2021,66*,117,11924,6141,225,6/48,10/146,27.29,3.09,52.9,9,1
66 | VD Philander (SA),2011-2020,64,119,11391,5000,224,6/21,10/102,22.32,2.63,50.8,13,2
67 | RA Jadeja (INDIA),2012-2021,54*,101,13325,5446,221,7/48,10/154,24.64,2.45,60.2,9,1
68 | PM Siddle (AUS),2008-2019,67,126,13907,6777,221,6/54,9/104,30.66,2.92,62.9,8,0
69 | CL Cairns (NZ),1989-2004,62,104,11698,6410,218,7/27,10/100,29.4,3.28,53.6,13,1
70 | CV Grimmett (AUS),1925-1936,37,67,14513,5231,216,7/40,14/199,24.21,2.16,67.1,21,7
71 | HH Streak (ZIM),1993-2005,65,102,13559,6079,216,6/73,9/72,28.14,2.69,62.7,7,0
72 | Shakib Al Hasan (BDESH),2007-2021,58,98,13415,6679,215,7/36,10/124,31.06,2.98,62.3,18,2
73 | K Rabada (SA),2015-2021,47,86,8785,4846,213,7/112,13/144,22.75,3.3,41.2,10,4
74 | JR Hazlewood (AUS),2014-2021,55,103,11887,5438,212,6/67,9/115,25.65,2.74,56,9,0
75 | MG Hughes (AUS),1985-1994,53,97,12285,6017,212,8/87,13/217,28.38,2.93,57.9,7,1
76 | SCG MacGill (AUS),1998-2008,44,85,11237,6038,208,8/108,12/107,29.02,3.22,54,12,2
77 | Saqlain Mushtaq (PAK),1995-2004,49,86,14070,6206,208,8/164,10/155,29.83,2.64,67.6,13,3
78 | AME Roberts (WI),1974-1983,47,90,11135,5174,202,7/54,12/121,25.61,2.78,55.1,11,2
79 | JA Snow (ENG),1965-1976,49,93,12021,5387,202,7/40,10/142,26.66,2.68,59.5,8,1
80 | JR Thomson (AUS),1972-1985,51,90,10535,5601,200,6/46,9/105,28,3.18,52.6,8,0


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