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sitc/ml2/3_1_Read_Data.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"![](images/EscUpmPolit_p.gif \"UPM\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Course Notes for Learning Intelligent Systems"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Department of Telematic Engineering Systems, Universidad Politécnica de Madrid, © 2016 Carlos A. Iglesias"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## [Introduction to Machine Learning II](3_0_0_Intro_ML_2.ipynb)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Table of Contents\n",
"\n",
"* [The Titanic dataset](#The-Titanic-dataset)\n",
"* [Reading Data](#Reading-Data)\n",
"* [Reading Data from a File](#Reading-Data-from-a-File)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# The Titanic dataset"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In this session we will work with the Titanic dataset. This dataset is provided by [Kaggle](http://www.kaggle.com). Kaggle is a crowdsourcing platform that organizes competitions where researchers and companies post their data and users compete to obtain the best models.\n",
"\n",
"![Titanic](images/titanic.jpg)\n",
"\n",
"\n",
"The main objective is predicting which passengers survived the sinking of the Titanic.\n",
"\n",
"The data is available [here](https://www.kaggle.com/c/titanic/data). There are two files, one for training ([train.csv](files/data-titanic/train.csv)) and another file for testing [test.csv](files/data-titanic/test.csv). A local copy has been included in this notebook under the folder *data-titanic*.\n",
"\n",
"\n",
"Here follows a description of the variables.\n",
"\n",
"|Variable | Description| Values|\n",
"|-------------------------------|\n",
"| survival| Survival| (0 = No; 1 = Yes)|\n",
"|Pclass |Name | |\n",
"|Sex |Sex | male, female|\n",
"|Age |Age|\n",
"|SibSp |Number of Siblings/Spouses Aboard||\n",
"|Parch |Number of Parents/Children Aboard||\n",
"|Ticket|Ticket Number||\n",
"|Fare |Passenger Fare||\n",
"|Cabin |Cabin||\n",
"|Embarked |Port of Embarkation| (C = Cherbourg; Q = Queenstown; S = Southampton)|\n",
"\n",
"\n",
"The definitions used for SibSp and Parch are:\n",
"* *Sibling*: Brother, Sister, Stepbrother, or Stepsister of Passenger Aboard Titanic\n",
"* *Spouse*: Husband or Wife of Passenger Aboard Titanic (Mistresses and Fiances Ignored)\n",
"* *Parent*: Mother or Father of Passenger Aboard Titanic\n",
"* *Child*: Son, Daughter, Stepson, or Stepdaughter of Passenger Aboard Titanic"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Reading Data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In the previous dataset we load a bundle dataset in scikit-learn. In this notebook we are going to learn how to read from a file or a url using the Pandas library."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Reading Data from a File"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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" <td>866</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>Bystrom, Mrs. (Karolina)</td>\n",
" <td>female</td>\n",
" <td>42.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>236852</td>\n",
" <td>13.0000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>866</th>\n",
" <td>867</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>Duran y More, Miss. Asuncion</td>\n",
" <td>female</td>\n",
" <td>27.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>SC/PARIS 2149</td>\n",
" <td>13.8583</td>\n",
" <td>NaN</td>\n",
" <td>C</td>\n",
" </tr>\n",
" <tr>\n",
" <th>867</th>\n",
" <td>868</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>Roebling, Mr. Washington Augustus II</td>\n",
" <td>male</td>\n",
" <td>31.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>PC 17590</td>\n",
" <td>50.4958</td>\n",
" <td>A24</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>868</th>\n",
" <td>869</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>van Melkebeke, Mr. Philemon</td>\n",
" <td>male</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>345777</td>\n",
" <td>9.5000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>869</th>\n",
" <td>870</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>Johnson, Master. Harold Theodor</td>\n",
" <td>male</td>\n",
" <td>4.0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>347742</td>\n",
" <td>11.1333</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>870</th>\n",
" <td>871</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Balkic, Mr. Cerin</td>\n",
" <td>male</td>\n",
" <td>26.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>349248</td>\n",
" <td>7.8958</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>871</th>\n",
" <td>872</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Beckwith, Mrs. Richard Leonard (Sallie Monypeny)</td>\n",
" <td>female</td>\n",
" <td>47.0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>11751</td>\n",
" <td>52.5542</td>\n",
" <td>D35</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>872</th>\n",
" <td>873</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>Carlsson, Mr. Frans Olof</td>\n",
" <td>male</td>\n",
" <td>33.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>695</td>\n",
" <td>5.0000</td>\n",
" <td>B51 B53 B55</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>873</th>\n",
" <td>874</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Vander Cruyssen, Mr. Victor</td>\n",
" <td>male</td>\n",
" <td>47.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>345765</td>\n",
" <td>9.0000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>874</th>\n",
" <td>875</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>Abelson, Mrs. Samuel (Hannah Wizosky)</td>\n",
" <td>female</td>\n",
" <td>28.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>P/PP 3381</td>\n",
" <td>24.0000</td>\n",
" <td>NaN</td>\n",
" <td>C</td>\n",
" </tr>\n",
" <tr>\n",
" <th>875</th>\n",
" <td>876</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>Najib, Miss. Adele Kiamie \"Jane\"</td>\n",
" <td>female</td>\n",
" <td>15.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2667</td>\n",
" <td>7.2250</td>\n",
" <td>NaN</td>\n",
" <td>C</td>\n",
" </tr>\n",
" <tr>\n",
" <th>876</th>\n",
" <td>877</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Gustafsson, Mr. Alfred Ossian</td>\n",
" <td>male</td>\n",
" <td>20.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>7534</td>\n",
" <td>9.8458</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>877</th>\n",
" <td>878</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Petroff, Mr. Nedelio</td>\n",
" <td>male</td>\n",
" <td>19.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>349212</td>\n",
" <td>7.8958</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>878</th>\n",
" <td>879</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Laleff, Mr. Kristo</td>\n",
" <td>male</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>349217</td>\n",
" <td>7.8958</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>879</th>\n",
" <td>880</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)</td>\n",
" <td>female</td>\n",
" <td>56.0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>11767</td>\n",
" <td>83.1583</td>\n",
" <td>C50</td>\n",
" <td>C</td>\n",
" </tr>\n",
" <tr>\n",
" <th>880</th>\n",
" <td>881</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>Shelley, Mrs. William (Imanita Parrish Hall)</td>\n",
" <td>female</td>\n",
" <td>25.0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>230433</td>\n",
" <td>26.0000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>881</th>\n",
" <td>882</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Markun, Mr. Johann</td>\n",
" <td>male</td>\n",
" <td>33.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>349257</td>\n",
" <td>7.8958</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>882</th>\n",
" <td>883</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Dahlberg, Miss. Gerda Ulrika</td>\n",
" <td>female</td>\n",
" <td>22.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>7552</td>\n",
" <td>10.5167</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>883</th>\n",
" <td>884</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>Banfield, Mr. Frederick James</td>\n",
" <td>male</td>\n",
" <td>28.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>C.A./SOTON 34068</td>\n",
" <td>10.5000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>884</th>\n",
" <td>885</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Sutehall, Mr. Henry Jr</td>\n",
" <td>male</td>\n",
" <td>25.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>SOTON/OQ 392076</td>\n",
" <td>7.0500</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>885</th>\n",
" <td>886</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Rice, Mrs. William (Margaret Norton)</td>\n",
" <td>female</td>\n",
" <td>39.0</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>382652</td>\n",
" <td>29.1250</td>\n",
" <td>NaN</td>\n",
" <td>Q</td>\n",
" </tr>\n",
" <tr>\n",
" <th>886</th>\n",
" <td>887</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>Montvila, Rev. Juozas</td>\n",
" <td>male</td>\n",
" <td>27.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>211536</td>\n",
" <td>13.0000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>887</th>\n",
" <td>888</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Graham, Miss. Margaret Edith</td>\n",
" <td>female</td>\n",
" <td>19.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>112053</td>\n",
" <td>30.0000</td>\n",
" <td>B42</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>888</th>\n",
" <td>889</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Johnston, Miss. Catherine Helen \"Carrie\"</td>\n",
" <td>female</td>\n",
" <td>NaN</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>W./C. 6607</td>\n",
" <td>23.4500</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>889</th>\n",
" <td>890</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Behr, Mr. Karl Howell</td>\n",
" <td>male</td>\n",
" <td>26.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>111369</td>\n",
" <td>30.0000</td>\n",
" <td>C148</td>\n",
" <td>C</td>\n",
" </tr>\n",
" <tr>\n",
" <th>890</th>\n",
" <td>891</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Dooley, Mr. Patrick</td>\n",
" <td>male</td>\n",
" <td>32.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>370376</td>\n",
" <td>7.7500</td>\n",
" <td>NaN</td>\n",
" <td>Q</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>891 rows × 12 columns</p>\n",
"</div>"
],
"text/plain": [
" PassengerId Survived Pclass \\\n",
"0 1 0 3 \n",
"1 2 1 1 \n",
"2 3 1 3 \n",
"3 4 1 1 \n",
"4 5 0 3 \n",
"5 6 0 3 \n",
"6 7 0 1 \n",
"7 8 0 3 \n",
"8 9 1 3 \n",
"9 10 1 2 \n",
"10 11 1 3 \n",
"11 12 1 1 \n",
"12 13 0 3 \n",
"13 14 0 3 \n",
"14 15 0 3 \n",
"15 16 1 2 \n",
"16 17 0 3 \n",
"17 18 1 2 \n",
"18 19 0 3 \n",
"19 20 1 3 \n",
"20 21 0 2 \n",
"21 22 1 2 \n",
"22 23 1 3 \n",
"23 24 1 1 \n",
"24 25 0 3 \n",
"25 26 1 3 \n",
"26 27 0 3 \n",
"27 28 0 1 \n",
"28 29 1 3 \n",
"29 30 0 3 \n",
".. ... ... ... \n",
"861 862 0 2 \n",
"862 863 1 1 \n",
"863 864 0 3 \n",
"864 865 0 2 \n",
"865 866 1 2 \n",
"866 867 1 2 \n",
"867 868 0 1 \n",
"868 869 0 3 \n",
"869 870 1 3 \n",
"870 871 0 3 \n",
"871 872 1 1 \n",
"872 873 0 1 \n",
"873 874 0 3 \n",
"874 875 1 2 \n",
"875 876 1 3 \n",
"876 877 0 3 \n",
"877 878 0 3 \n",
"878 879 0 3 \n",
"879 880 1 1 \n",
"880 881 1 2 \n",
"881 882 0 3 \n",
"882 883 0 3 \n",
"883 884 0 2 \n",
"884 885 0 3 \n",
"885 886 0 3 \n",
"886 887 0 2 \n",
"887 888 1 1 \n",
"888 889 0 3 \n",
"889 890 1 1 \n",
"890 891 0 3 \n",
"\n",
" Name Sex Age SibSp \\\n",
"0 Braund, Mr. Owen Harris male 22.0 1 \n",
"1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n",
"2 Heikkinen, Miss. Laina female 26.0 0 \n",
"3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n",
"4 Allen, Mr. William Henry male 35.0 0 \n",
"5 Moran, Mr. James male NaN 0 \n",
"6 McCarthy, Mr. Timothy J male 54.0 0 \n",
"7 Palsson, Master. Gosta Leonard male 2.0 3 \n",
"8 Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg) female 27.0 0 \n",
"9 Nasser, Mrs. Nicholas (Adele Achem) female 14.0 1 \n",
"10 Sandstrom, Miss. Marguerite Rut female 4.0 1 \n",
"11 Bonnell, Miss. Elizabeth female 58.0 0 \n",
"12 Saundercock, Mr. William Henry male 20.0 0 \n",
"13 Andersson, Mr. Anders Johan male 39.0 1 \n",
"14 Vestrom, Miss. Hulda Amanda Adolfina female 14.0 0 \n",
"15 Hewlett, Mrs. (Mary D Kingcome) female 55.0 0 \n",
"16 Rice, Master. Eugene male 2.0 4 \n",
"17 Williams, Mr. Charles Eugene male NaN 0 \n",
"18 Vander Planke, Mrs. Julius (Emelia Maria Vande... female 31.0 1 \n",
"19 Masselmani, Mrs. Fatima female NaN 0 \n",
"20 Fynney, Mr. Joseph J male 35.0 0 \n",
"21 Beesley, Mr. Lawrence male 34.0 0 \n",
"22 McGowan, Miss. Anna \"Annie\" female 15.0 0 \n",
"23 Sloper, Mr. William Thompson male 28.0 0 \n",
"24 Palsson, Miss. Torborg Danira female 8.0 3 \n",
"25 Asplund, Mrs. Carl Oscar (Selma Augusta Emilia... female 38.0 1 \n",
"26 Emir, Mr. Farred Chehab male NaN 0 \n",
"27 Fortune, Mr. Charles Alexander male 19.0 3 \n",
"28 O'Dwyer, Miss. Ellen \"Nellie\" female NaN 0 \n",
"29 Todoroff, Mr. Lalio male NaN 0 \n",
".. ... ... ... ... \n",
"861 Giles, Mr. Frederick Edward male 21.0 1 \n",
"862 Swift, Mrs. Frederick Joel (Margaret Welles Ba... female 48.0 0 \n",
"863 Sage, Miss. Dorothy Edith \"Dolly\" female NaN 8 \n",
"864 Gill, Mr. John William male 24.0 0 \n",
"865 Bystrom, Mrs. (Karolina) female 42.0 0 \n",
"866 Duran y More, Miss. Asuncion female 27.0 1 \n",
"867 Roebling, Mr. Washington Augustus II male 31.0 0 \n",
"868 van Melkebeke, Mr. Philemon male NaN 0 \n",
"869 Johnson, Master. Harold Theodor male 4.0 1 \n",
"870 Balkic, Mr. Cerin male 26.0 0 \n",
"871 Beckwith, Mrs. Richard Leonard (Sallie Monypeny) female 47.0 1 \n",
"872 Carlsson, Mr. Frans Olof male 33.0 0 \n",
"873 Vander Cruyssen, Mr. Victor male 47.0 0 \n",
"874 Abelson, Mrs. Samuel (Hannah Wizosky) female 28.0 1 \n",
"875 Najib, Miss. Adele Kiamie \"Jane\" female 15.0 0 \n",
"876 Gustafsson, Mr. Alfred Ossian male 20.0 0 \n",
"877 Petroff, Mr. Nedelio male 19.0 0 \n",
"878 Laleff, Mr. Kristo male NaN 0 \n",
"879 Potter, Mrs. Thomas Jr (Lily Alexenia Wilson) female 56.0 0 \n",
"880 Shelley, Mrs. William (Imanita Parrish Hall) female 25.0 0 \n",
"881 Markun, Mr. Johann male 33.0 0 \n",
"882 Dahlberg, Miss. Gerda Ulrika female 22.0 0 \n",
"883 Banfield, Mr. Frederick James male 28.0 0 \n",
"884 Sutehall, Mr. Henry Jr male 25.0 0 \n",
"885 Rice, Mrs. William (Margaret Norton) female 39.0 0 \n",
"886 Montvila, Rev. Juozas male 27.0 0 \n",
"887 Graham, Miss. Margaret Edith female 19.0 0 \n",
"888 Johnston, Miss. Catherine Helen \"Carrie\" female NaN 1 \n",
"889 Behr, Mr. Karl Howell male 26.0 0 \n",
"890 Dooley, Mr. Patrick male 32.0 0 \n",
"\n",
" Parch Ticket Fare Cabin Embarked \n",
"0 0 A/5 21171 7.2500 NaN S \n",
"1 0 PC 17599 71.2833 C85 C \n",
"2 0 STON/O2. 3101282 7.9250 NaN S \n",
"3 0 113803 53.1000 C123 S \n",
"4 0 373450 8.0500 NaN S \n",
"5 0 330877 8.4583 NaN Q \n",
"6 0 17463 51.8625 E46 S \n",
"7 1 349909 21.0750 NaN S \n",
"8 2 347742 11.1333 NaN S \n",
"9 0 237736 30.0708 NaN C \n",
"10 1 PP 9549 16.7000 G6 S \n",
"11 0 113783 26.5500 C103 S \n",
"12 0 A/5. 2151 8.0500 NaN S \n",
"13 5 347082 31.2750 NaN S \n",
"14 0 350406 7.8542 NaN S \n",
"15 0 248706 16.0000 NaN S \n",
"16 1 382652 29.1250 NaN Q \n",
"17 0 244373 13.0000 NaN S \n",
"18 0 345763 18.0000 NaN S \n",
"19 0 2649 7.2250 NaN C \n",
"20 0 239865 26.0000 NaN S \n",
"21 0 248698 13.0000 D56 S \n",
"22 0 330923 8.0292 NaN Q \n",
"23 0 113788 35.5000 A6 S \n",
"24 1 349909 21.0750 NaN S \n",
"25 5 347077 31.3875 NaN S \n",
"26 0 2631 7.2250 NaN C \n",
"27 2 19950 263.0000 C23 C25 C27 S \n",
"28 0 330959 7.8792 NaN Q \n",
"29 0 349216 7.8958 NaN S \n",
".. ... ... ... ... ... \n",
"861 0 28134 11.5000 NaN S \n",
"862 0 17466 25.9292 D17 S \n",
"863 2 CA. 2343 69.5500 NaN S \n",
"864 0 233866 13.0000 NaN S \n",
"865 0 236852 13.0000 NaN S \n",
"866 0 SC/PARIS 2149 13.8583 NaN C \n",
"867 0 PC 17590 50.4958 A24 S \n",
"868 0 345777 9.5000 NaN S \n",
"869 1 347742 11.1333 NaN S \n",
"870 0 349248 7.8958 NaN S \n",
"871 1 11751 52.5542 D35 S \n",
"872 0 695 5.0000 B51 B53 B55 S \n",
"873 0 345765 9.0000 NaN S \n",
"874 0 P/PP 3381 24.0000 NaN C \n",
"875 0 2667 7.2250 NaN C \n",
"876 0 7534 9.8458 NaN S \n",
"877 0 349212 7.8958 NaN S \n",
"878 0 349217 7.8958 NaN S \n",
"879 1 11767 83.1583 C50 C \n",
"880 1 230433 26.0000 NaN S \n",
"881 0 349257 7.8958 NaN S \n",
"882 0 7552 10.5167 NaN S \n",
"883 0 C.A./SOTON 34068 10.5000 NaN S \n",
"884 0 SOTON/OQ 392076 7.0500 NaN S \n",
"885 5 382652 29.1250 NaN Q \n",
"886 0 211536 13.0000 NaN S \n",
"887 0 112053 30.0000 B42 S \n",
"888 2 W./C. 6607 23.4500 NaN S \n",
"889 0 111369 30.0000 C148 C \n",
"890 0 370376 7.7500 NaN Q \n",
"\n",
"[891 rows x 12 columns]"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"from pandas import Series, DataFrame\n",
"\n",
"df = pd.read_csv('data-titanic/train.csv')\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"(891, 12)"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# we can get the number of samples and features\n",
"df.shape"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>PassengerId</th>\n",
" <th>Survived</th>\n",
" <th>Pclass</th>\n",
" <th>Name</th>\n",
" <th>Sex</th>\n",
" <th>Age</th>\n",
" <th>SibSp</th>\n",
" <th>Parch</th>\n",
" <th>Ticket</th>\n",
" <th>Fare</th>\n",
" <th>Cabin</th>\n",
" <th>Embarked</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Braund, Mr. Owen Harris</td>\n",
" <td>male</td>\n",
" <td>22</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>A/5 21171</td>\n",
" <td>7.2500</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
" <td>female</td>\n",
" <td>38</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>PC 17599</td>\n",
" <td>71.2833</td>\n",
" <td>C85</td>\n",
" <td>C</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>Heikkinen, Miss. Laina</td>\n",
" <td>female</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>STON/O2. 3101282</td>\n",
" <td>7.9250</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
" <td>female</td>\n",
" <td>35</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>113803</td>\n",
" <td>53.1000</td>\n",
" <td>C123</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Allen, Mr. William Henry</td>\n",
" <td>male</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>373450</td>\n",
" <td>8.0500</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" PassengerId Survived Pclass \\\n",
"0 1 0 3 \n",
"1 2 1 1 \n",
"2 3 1 3 \n",
"3 4 1 1 \n",
"4 5 0 3 \n",
"\n",
" Name Sex Age SibSp \\\n",
"0 Braund, Mr. Owen Harris male 22 1 \n",
"1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38 1 \n",
"2 Heikkinen, Miss. Laina female 26 0 \n",
"3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35 1 \n",
"4 Allen, Mr. William Henry male 35 0 \n",
"\n",
" Parch Ticket Fare Cabin Embarked \n",
"0 0 A/5 21171 7.2500 NaN S \n",
"1 0 PC 17599 71.2833 C85 C \n",
"2 0 STON/O2. 3101282 7.9250 NaN S \n",
"3 0 113803 53.1000 C123 S \n",
"4 0 373450 8.0500 NaN S "
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#I can read only a number of rows and tell where the header is, among other options.\n",
"df = df = pd.read_csv('data-titanic/train.csv', header=0, nrows=5)\n",
"df"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Pandas provides methods for reading other formats, such as Excel (*read_excel()*), JSON (*read_json()*), or HTML (*read_html()*), look at the [documentation](http://pandas.pydata.org/pandas-docs/stable/api.html#input-output) for more details."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Reading data from a URL"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>PassengerId</th>\n",
" <th>Survived</th>\n",
" <th>Pclass</th>\n",
" <th>Name</th>\n",
" <th>Sex</th>\n",
" <th>Age</th>\n",
" <th>SibSp</th>\n",
" <th>Parch</th>\n",
" <th>Ticket</th>\n",
" <th>Fare</th>\n",
" <th>Cabin</th>\n",
" <th>Embarked</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Braund, Mr. Owen Harris</td>\n",
" <td>male</td>\n",
" <td>22.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>A/5 21171</td>\n",
" <td>7.2500</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
" <td>female</td>\n",
" <td>38.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>PC 17599</td>\n",
" <td>71.2833</td>\n",
" <td>C85</td>\n",
" <td>C</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>Heikkinen, Miss. Laina</td>\n",
" <td>female</td>\n",
" <td>26.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>STON/O2. 3101282</td>\n",
" <td>7.9250</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
" <td>female</td>\n",
" <td>35.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>113803</td>\n",
" <td>53.1000</td>\n",
" <td>C123</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Allen, Mr. William Henry</td>\n",
" <td>male</td>\n",
" <td>35.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>373450</td>\n",
" <td>8.0500</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>6</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Moran, Mr. James</td>\n",
" <td>male</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>330877</td>\n",
" <td>8.4583</td>\n",
" <td>NaN</td>\n",
" <td>Q</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>7</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>McCarthy, Mr. Timothy J</td>\n",
" <td>male</td>\n",
" <td>54.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>17463</td>\n",
" <td>51.8625</td>\n",
" <td>E46</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>8</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Palsson, Master. Gosta Leonard</td>\n",
" <td>male</td>\n",
" <td>2.0</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>349909</td>\n",
" <td>21.0750</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>9</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)</td>\n",
" <td>female</td>\n",
" <td>27.0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>347742</td>\n",
" <td>11.1333</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>10</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>Nasser, Mrs. Nicholas (Adele Achem)</td>\n",
" <td>female</td>\n",
" <td>14.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>237736</td>\n",
" <td>30.0708</td>\n",
" <td>NaN</td>\n",
" <td>C</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>11</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>Sandstrom, Miss. Marguerite Rut</td>\n",
" <td>female</td>\n",
" <td>4.0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>PP 9549</td>\n",
" <td>16.7000</td>\n",
" <td>G6</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>12</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Bonnell, Miss. Elizabeth</td>\n",
" <td>female</td>\n",
" <td>58.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>113783</td>\n",
" <td>26.5500</td>\n",
" <td>C103</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>13</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Saundercock, Mr. William Henry</td>\n",
" <td>male</td>\n",
" <td>20.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A/5. 2151</td>\n",
" <td>8.0500</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>14</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Andersson, Mr. Anders Johan</td>\n",
" <td>male</td>\n",
" <td>39.0</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>347082</td>\n",
" <td>31.2750</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>15</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Vestrom, Miss. Hulda Amanda Adolfina</td>\n",
" <td>female</td>\n",
" <td>14.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>350406</td>\n",
" <td>7.8542</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>16</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>Hewlett, Mrs. (Mary D Kingcome)</td>\n",
" <td>female</td>\n",
" <td>55.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>248706</td>\n",
" <td>16.0000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>17</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Rice, Master. Eugene</td>\n",
" <td>male</td>\n",
" <td>2.0</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" <td>382652</td>\n",
" <td>29.1250</td>\n",
" <td>NaN</td>\n",
" <td>Q</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>18</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>Williams, Mr. Charles Eugene</td>\n",
" <td>male</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>244373</td>\n",
" <td>13.0000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>19</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Vander Planke, Mrs. Julius (Emelia Maria Vande...</td>\n",
" <td>female</td>\n",
" <td>31.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>345763</td>\n",
" <td>18.0000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>20</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>Masselmani, Mrs. Fatima</td>\n",
" <td>female</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2649</td>\n",
" <td>7.2250</td>\n",
" <td>NaN</td>\n",
" <td>C</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>21</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>Fynney, Mr. Joseph J</td>\n",
" <td>male</td>\n",
" <td>35.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>239865</td>\n",
" <td>26.0000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>22</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>Beesley, Mr. Lawrence</td>\n",
" <td>male</td>\n",
" <td>34.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>248698</td>\n",
" <td>13.0000</td>\n",
" <td>D56</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>23</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>McGowan, Miss. Anna \"Annie\"</td>\n",
" <td>female</td>\n",
" <td>15.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>330923</td>\n",
" <td>8.0292</td>\n",
" <td>NaN</td>\n",
" <td>Q</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>24</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Sloper, Mr. William Thompson</td>\n",
" <td>male</td>\n",
" <td>28.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>113788</td>\n",
" <td>35.5000</td>\n",
" <td>A6</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Palsson, Miss. Torborg Danira</td>\n",
" <td>female</td>\n",
" <td>8.0</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>349909</td>\n",
" <td>21.0750</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>26</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>Asplund, Mrs. Carl Oscar (Selma Augusta Emilia...</td>\n",
" <td>female</td>\n",
" <td>38.0</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>347077</td>\n",
" <td>31.3875</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>27</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Emir, Mr. Farred Chehab</td>\n",
" <td>male</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2631</td>\n",
" <td>7.2250</td>\n",
" <td>NaN</td>\n",
" <td>C</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>28</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>Fortune, Mr. Charles Alexander</td>\n",
" <td>male</td>\n",
" <td>19.0</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>19950</td>\n",
" <td>263.0000</td>\n",
" <td>C23 C25 C27</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>29</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>O'Dwyer, Miss. Ellen \"Nellie\"</td>\n",
" <td>female</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>330959</td>\n",
" <td>7.8792</td>\n",
" <td>NaN</td>\n",
" <td>Q</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Todoroff, Mr. Lalio</td>\n",
" <td>male</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>349216</td>\n",
" <td>7.8958</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>861</th>\n",
" <td>862</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>Giles, Mr. Frederick Edward</td>\n",
" <td>male</td>\n",
" <td>21.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>28134</td>\n",
" <td>11.5000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>862</th>\n",
" <td>863</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Swift, Mrs. Frederick Joel (Margaret Welles Ba...</td>\n",
" <td>female</td>\n",
" <td>48.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>17466</td>\n",
" <td>25.9292</td>\n",
" <td>D17</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>863</th>\n",
" <td>864</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Sage, Miss. Dorothy Edith \"Dolly\"</td>\n",
" <td>female</td>\n",
" <td>NaN</td>\n",
" <td>8</td>\n",
" <td>2</td>\n",
" <td>CA. 2343</td>\n",
" <td>69.5500</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>864</th>\n",
" <td>865</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>Gill, Mr. John William</td>\n",
" <td>male</td>\n",
" <td>24.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>233866</td>\n",
" <td>13.0000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>865</th>\n",
" <td>866</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>Bystrom, Mrs. (Karolina)</td>\n",
" <td>female</td>\n",
" <td>42.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>236852</td>\n",
" <td>13.0000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>866</th>\n",
" <td>867</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>Duran y More, Miss. Asuncion</td>\n",
" <td>female</td>\n",
" <td>27.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>SC/PARIS 2149</td>\n",
" <td>13.8583</td>\n",
" <td>NaN</td>\n",
" <td>C</td>\n",
" </tr>\n",
" <tr>\n",
" <th>867</th>\n",
" <td>868</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>Roebling, Mr. Washington Augustus II</td>\n",
" <td>male</td>\n",
" <td>31.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>PC 17590</td>\n",
" <td>50.4958</td>\n",
" <td>A24</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>868</th>\n",
" <td>869</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>van Melkebeke, Mr. Philemon</td>\n",
" <td>male</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>345777</td>\n",
" <td>9.5000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>869</th>\n",
" <td>870</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>Johnson, Master. Harold Theodor</td>\n",
" <td>male</td>\n",
" <td>4.0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>347742</td>\n",
" <td>11.1333</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>870</th>\n",
" <td>871</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Balkic, Mr. Cerin</td>\n",
" <td>male</td>\n",
" <td>26.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>349248</td>\n",
" <td>7.8958</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>871</th>\n",
" <td>872</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Beckwith, Mrs. Richard Leonard (Sallie Monypeny)</td>\n",
" <td>female</td>\n",
" <td>47.0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>11751</td>\n",
" <td>52.5542</td>\n",
" <td>D35</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>872</th>\n",
" <td>873</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>Carlsson, Mr. Frans Olof</td>\n",
" <td>male</td>\n",
" <td>33.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>695</td>\n",
" <td>5.0000</td>\n",
" <td>B51 B53 B55</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>873</th>\n",
" <td>874</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Vander Cruyssen, Mr. Victor</td>\n",
" <td>male</td>\n",
" <td>47.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>345765</td>\n",
" <td>9.0000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>874</th>\n",
" <td>875</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>Abelson, Mrs. Samuel (Hannah Wizosky)</td>\n",
" <td>female</td>\n",
" <td>28.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>P/PP 3381</td>\n",
" <td>24.0000</td>\n",
" <td>NaN</td>\n",
" <td>C</td>\n",
" </tr>\n",
" <tr>\n",
" <th>875</th>\n",
" <td>876</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>Najib, Miss. Adele Kiamie \"Jane\"</td>\n",
" <td>female</td>\n",
" <td>15.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2667</td>\n",
" <td>7.2250</td>\n",
" <td>NaN</td>\n",
" <td>C</td>\n",
" </tr>\n",
" <tr>\n",
" <th>876</th>\n",
" <td>877</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Gustafsson, Mr. Alfred Ossian</td>\n",
" <td>male</td>\n",
" <td>20.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>7534</td>\n",
" <td>9.8458</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>877</th>\n",
" <td>878</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Petroff, Mr. Nedelio</td>\n",
" <td>male</td>\n",
" <td>19.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>349212</td>\n",
" <td>7.8958</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>878</th>\n",
" <td>879</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Laleff, Mr. Kristo</td>\n",
" <td>male</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>349217</td>\n",
" <td>7.8958</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>879</th>\n",
" <td>880</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)</td>\n",
" <td>female</td>\n",
" <td>56.0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>11767</td>\n",
" <td>83.1583</td>\n",
" <td>C50</td>\n",
" <td>C</td>\n",
" </tr>\n",
" <tr>\n",
" <th>880</th>\n",
" <td>881</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>Shelley, Mrs. William (Imanita Parrish Hall)</td>\n",
" <td>female</td>\n",
" <td>25.0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>230433</td>\n",
" <td>26.0000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>881</th>\n",
" <td>882</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Markun, Mr. Johann</td>\n",
" <td>male</td>\n",
" <td>33.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>349257</td>\n",
" <td>7.8958</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>882</th>\n",
" <td>883</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Dahlberg, Miss. Gerda Ulrika</td>\n",
" <td>female</td>\n",
" <td>22.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>7552</td>\n",
" <td>10.5167</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>883</th>\n",
" <td>884</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>Banfield, Mr. Frederick James</td>\n",
" <td>male</td>\n",
" <td>28.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>C.A./SOTON 34068</td>\n",
" <td>10.5000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>884</th>\n",
" <td>885</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Sutehall, Mr. Henry Jr</td>\n",
" <td>male</td>\n",
" <td>25.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>SOTON/OQ 392076</td>\n",
" <td>7.0500</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>885</th>\n",
" <td>886</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Rice, Mrs. William (Margaret Norton)</td>\n",
" <td>female</td>\n",
" <td>39.0</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>382652</td>\n",
" <td>29.1250</td>\n",
" <td>NaN</td>\n",
" <td>Q</td>\n",
" </tr>\n",
" <tr>\n",
" <th>886</th>\n",
" <td>887</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>Montvila, Rev. Juozas</td>\n",
" <td>male</td>\n",
" <td>27.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>211536</td>\n",
" <td>13.0000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>887</th>\n",
" <td>888</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Graham, Miss. Margaret Edith</td>\n",
" <td>female</td>\n",
" <td>19.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>112053</td>\n",
" <td>30.0000</td>\n",
" <td>B42</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>888</th>\n",
" <td>889</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Johnston, Miss. Catherine Helen \"Carrie\"</td>\n",
" <td>female</td>\n",
" <td>NaN</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>W./C. 6607</td>\n",
" <td>23.4500</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>889</th>\n",
" <td>890</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Behr, Mr. Karl Howell</td>\n",
" <td>male</td>\n",
" <td>26.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>111369</td>\n",
" <td>30.0000</td>\n",
" <td>C148</td>\n",
" <td>C</td>\n",
" </tr>\n",
" <tr>\n",
" <th>890</th>\n",
" <td>891</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Dooley, Mr. Patrick</td>\n",
" <td>male</td>\n",
" <td>32.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>370376</td>\n",
" <td>7.7500</td>\n",
" <td>NaN</td>\n",
" <td>Q</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>891 rows × 12 columns</p>\n",
"</div>"
],
"text/plain": [
" PassengerId Survived Pclass \\\n",
"0 1 0 3 \n",
"1 2 1 1 \n",
"2 3 1 3 \n",
"3 4 1 1 \n",
"4 5 0 3 \n",
"5 6 0 3 \n",
"6 7 0 1 \n",
"7 8 0 3 \n",
"8 9 1 3 \n",
"9 10 1 2 \n",
"10 11 1 3 \n",
"11 12 1 1 \n",
"12 13 0 3 \n",
"13 14 0 3 \n",
"14 15 0 3 \n",
"15 16 1 2 \n",
"16 17 0 3 \n",
"17 18 1 2 \n",
"18 19 0 3 \n",
"19 20 1 3 \n",
"20 21 0 2 \n",
"21 22 1 2 \n",
"22 23 1 3 \n",
"23 24 1 1 \n",
"24 25 0 3 \n",
"25 26 1 3 \n",
"26 27 0 3 \n",
"27 28 0 1 \n",
"28 29 1 3 \n",
"29 30 0 3 \n",
".. ... ... ... \n",
"861 862 0 2 \n",
"862 863 1 1 \n",
"863 864 0 3 \n",
"864 865 0 2 \n",
"865 866 1 2 \n",
"866 867 1 2 \n",
"867 868 0 1 \n",
"868 869 0 3 \n",
"869 870 1 3 \n",
"870 871 0 3 \n",
"871 872 1 1 \n",
"872 873 0 1 \n",
"873 874 0 3 \n",
"874 875 1 2 \n",
"875 876 1 3 \n",
"876 877 0 3 \n",
"877 878 0 3 \n",
"878 879 0 3 \n",
"879 880 1 1 \n",
"880 881 1 2 \n",
"881 882 0 3 \n",
"882 883 0 3 \n",
"883 884 0 2 \n",
"884 885 0 3 \n",
"885 886 0 3 \n",
"886 887 0 2 \n",
"887 888 1 1 \n",
"888 889 0 3 \n",
"889 890 1 1 \n",
"890 891 0 3 \n",
"\n",
" Name Sex Age SibSp \\\n",
"0 Braund, Mr. Owen Harris male 22.0 1 \n",
"1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n",
"2 Heikkinen, Miss. Laina female 26.0 0 \n",
"3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n",
"4 Allen, Mr. William Henry male 35.0 0 \n",
"5 Moran, Mr. James male NaN 0 \n",
"6 McCarthy, Mr. Timothy J male 54.0 0 \n",
"7 Palsson, Master. Gosta Leonard male 2.0 3 \n",
"8 Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg) female 27.0 0 \n",
"9 Nasser, Mrs. Nicholas (Adele Achem) female 14.0 1 \n",
"10 Sandstrom, Miss. Marguerite Rut female 4.0 1 \n",
"11 Bonnell, Miss. Elizabeth female 58.0 0 \n",
"12 Saundercock, Mr. William Henry male 20.0 0 \n",
"13 Andersson, Mr. Anders Johan male 39.0 1 \n",
"14 Vestrom, Miss. Hulda Amanda Adolfina female 14.0 0 \n",
"15 Hewlett, Mrs. (Mary D Kingcome) female 55.0 0 \n",
"16 Rice, Master. Eugene male 2.0 4 \n",
"17 Williams, Mr. Charles Eugene male NaN 0 \n",
"18 Vander Planke, Mrs. Julius (Emelia Maria Vande... female 31.0 1 \n",
"19 Masselmani, Mrs. Fatima female NaN 0 \n",
"20 Fynney, Mr. Joseph J male 35.0 0 \n",
"21 Beesley, Mr. Lawrence male 34.0 0 \n",
"22 McGowan, Miss. Anna \"Annie\" female 15.0 0 \n",
"23 Sloper, Mr. William Thompson male 28.0 0 \n",
"24 Palsson, Miss. Torborg Danira female 8.0 3 \n",
"25 Asplund, Mrs. Carl Oscar (Selma Augusta Emilia... female 38.0 1 \n",
"26 Emir, Mr. Farred Chehab male NaN 0 \n",
"27 Fortune, Mr. Charles Alexander male 19.0 3 \n",
"28 O'Dwyer, Miss. Ellen \"Nellie\" female NaN 0 \n",
"29 Todoroff, Mr. Lalio male NaN 0 \n",
".. ... ... ... ... \n",
"861 Giles, Mr. Frederick Edward male 21.0 1 \n",
"862 Swift, Mrs. Frederick Joel (Margaret Welles Ba... female 48.0 0 \n",
"863 Sage, Miss. Dorothy Edith \"Dolly\" female NaN 8 \n",
"864 Gill, Mr. John William male 24.0 0 \n",
"865 Bystrom, Mrs. (Karolina) female 42.0 0 \n",
"866 Duran y More, Miss. Asuncion female 27.0 1 \n",
"867 Roebling, Mr. Washington Augustus II male 31.0 0 \n",
"868 van Melkebeke, Mr. Philemon male NaN 0 \n",
"869 Johnson, Master. Harold Theodor male 4.0 1 \n",
"870 Balkic, Mr. Cerin male 26.0 0 \n",
"871 Beckwith, Mrs. Richard Leonard (Sallie Monypeny) female 47.0 1 \n",
"872 Carlsson, Mr. Frans Olof male 33.0 0 \n",
"873 Vander Cruyssen, Mr. Victor male 47.0 0 \n",
"874 Abelson, Mrs. Samuel (Hannah Wizosky) female 28.0 1 \n",
"875 Najib, Miss. Adele Kiamie \"Jane\" female 15.0 0 \n",
"876 Gustafsson, Mr. Alfred Ossian male 20.0 0 \n",
"877 Petroff, Mr. Nedelio male 19.0 0 \n",
"878 Laleff, Mr. Kristo male NaN 0 \n",
"879 Potter, Mrs. Thomas Jr (Lily Alexenia Wilson) female 56.0 0 \n",
"880 Shelley, Mrs. William (Imanita Parrish Hall) female 25.0 0 \n",
"881 Markun, Mr. Johann male 33.0 0 \n",
"882 Dahlberg, Miss. Gerda Ulrika female 22.0 0 \n",
"883 Banfield, Mr. Frederick James male 28.0 0 \n",
"884 Sutehall, Mr. Henry Jr male 25.0 0 \n",
"885 Rice, Mrs. William (Margaret Norton) female 39.0 0 \n",
"886 Montvila, Rev. Juozas male 27.0 0 \n",
"887 Graham, Miss. Margaret Edith female 19.0 0 \n",
"888 Johnston, Miss. Catherine Helen \"Carrie\" female NaN 1 \n",
"889 Behr, Mr. Karl Howell male 26.0 0 \n",
"890 Dooley, Mr. Patrick male 32.0 0 \n",
"\n",
" Parch Ticket Fare Cabin Embarked \n",
"0 0 A/5 21171 7.2500 NaN S \n",
"1 0 PC 17599 71.2833 C85 C \n",
"2 0 STON/O2. 3101282 7.9250 NaN S \n",
"3 0 113803 53.1000 C123 S \n",
"4 0 373450 8.0500 NaN S \n",
"5 0 330877 8.4583 NaN Q \n",
"6 0 17463 51.8625 E46 S \n",
"7 1 349909 21.0750 NaN S \n",
"8 2 347742 11.1333 NaN S \n",
"9 0 237736 30.0708 NaN C \n",
"10 1 PP 9549 16.7000 G6 S \n",
"11 0 113783 26.5500 C103 S \n",
"12 0 A/5. 2151 8.0500 NaN S \n",
"13 5 347082 31.2750 NaN S \n",
"14 0 350406 7.8542 NaN S \n",
"15 0 248706 16.0000 NaN S \n",
"16 1 382652 29.1250 NaN Q \n",
"17 0 244373 13.0000 NaN S \n",
"18 0 345763 18.0000 NaN S \n",
"19 0 2649 7.2250 NaN C \n",
"20 0 239865 26.0000 NaN S \n",
"21 0 248698 13.0000 D56 S \n",
"22 0 330923 8.0292 NaN Q \n",
"23 0 113788 35.5000 A6 S \n",
"24 1 349909 21.0750 NaN S \n",
"25 5 347077 31.3875 NaN S \n",
"26 0 2631 7.2250 NaN C \n",
"27 2 19950 263.0000 C23 C25 C27 S \n",
"28 0 330959 7.8792 NaN Q \n",
"29 0 349216 7.8958 NaN S \n",
".. ... ... ... ... ... \n",
"861 0 28134 11.5000 NaN S \n",
"862 0 17466 25.9292 D17 S \n",
"863 2 CA. 2343 69.5500 NaN S \n",
"864 0 233866 13.0000 NaN S \n",
"865 0 236852 13.0000 NaN S \n",
"866 0 SC/PARIS 2149 13.8583 NaN C \n",
"867 0 PC 17590 50.4958 A24 S \n",
"868 0 345777 9.5000 NaN S \n",
"869 1 347742 11.1333 NaN S \n",
"870 0 349248 7.8958 NaN S \n",
"871 1 11751 52.5542 D35 S \n",
"872 0 695 5.0000 B51 B53 B55 S \n",
"873 0 345765 9.0000 NaN S \n",
"874 0 P/PP 3381 24.0000 NaN C \n",
"875 0 2667 7.2250 NaN C \n",
"876 0 7534 9.8458 NaN S \n",
"877 0 349212 7.8958 NaN S \n",
"878 0 349217 7.8958 NaN S \n",
"879 1 11767 83.1583 C50 C \n",
"880 1 230433 26.0000 NaN S \n",
"881 0 349257 7.8958 NaN S \n",
"882 0 7552 10.5167 NaN S \n",
"883 0 C.A./SOTON 34068 10.5000 NaN S \n",
"884 0 SOTON/OQ 392076 7.0500 NaN S \n",
"885 5 382652 29.1250 NaN Q \n",
"886 0 211536 13.0000 NaN S \n",
"887 0 112053 30.0000 B42 S \n",
"888 2 W./C. 6607 23.4500 NaN S \n",
"889 0 111369 30.0000 C148 C \n",
"890 0 370376 7.7500 NaN Q \n",
"\n",
"[891 rows x 12 columns]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"#We get a URL with raw content (not HTML one)\n",
"url = \"https://raw.githubusercontent.com/gsi-upm/sitc/master/ml2/data-titanic/train.csv\"\n",
"df = pd.read_csv(url)\n",
"df"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"An alternative option is reading the file with the library *requests* and then use *pandas*."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false,
"scrolled": false
},
"outputs": [
{
"data": {
"text/plain": [
"b'PassengerId,Survived,Pclass,Name,Sex,Age,SibSp,Parch,Ticket,Fare,Cabin,Embarked\\r\\n1,0,3,\"Braund, Mr. Owen Harris\",male,22,1,0,A/5 21171,7.25,,S\\r\\n2,1,1,\"Cumings, Mrs. John Bradley (Florence Briggs Thayer)\",female,38,1,0,PC 17599,71.2833,C85,C\\r\\n3,1,3,\"Heikkinen, Miss. Laina\",female,26,0,0,STON/O2. 3101282,7.925,,S\\r\\n4,1,1,'"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# First we open the file\n",
"import pandas as pd\n",
"import io\n",
"import requests\n",
"url = \"https://raw.githubusercontent.com/gsi-upm/sitc/master/ml2/data-titanic/train.csv\"\n",
"s = requests.get(url, stream=True).content\n",
"#Print the first 320 characters for understanding how it works\n",
"s[:320]"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>PassengerId</th>\n",
" <th>Survived</th>\n",
" <th>Pclass</th>\n",
" <th>Name</th>\n",
" <th>Sex</th>\n",
" <th>Age</th>\n",
" <th>SibSp</th>\n",
" <th>Parch</th>\n",
" <th>Ticket</th>\n",
" <th>Fare</th>\n",
" <th>Cabin</th>\n",
" <th>Embarked</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
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" <td>male</td>\n",
" <td>22.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>A/5 21171</td>\n",
" <td>7.2500</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
" <td>female</td>\n",
" <td>38.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>PC 17599</td>\n",
" <td>71.2833</td>\n",
" <td>C85</td>\n",
" <td>C</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>Heikkinen, Miss. Laina</td>\n",
" <td>female</td>\n",
" <td>26.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>7.9250</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
" <td>female</td>\n",
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" <tr>\n",
" <th>4</th>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Allen, Mr. William Henry</td>\n",
" <td>male</td>\n",
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" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>6</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Moran, Mr. James</td>\n",
" <td>male</td>\n",
" <td>NaN</td>\n",
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" <td>0</td>\n",
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" <td>8.4583</td>\n",
" <td>NaN</td>\n",
" <td>Q</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>7</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>McCarthy, Mr. Timothy J</td>\n",
" <td>male</td>\n",
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" <td>51.8625</td>\n",
" <td>E46</td>\n",
" <td>S</td>\n",
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" <tr>\n",
" <th>7</th>\n",
" <td>8</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Palsson, Master. Gosta Leonard</td>\n",
" <td>male</td>\n",
" <td>2.0</td>\n",
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" <td>1</td>\n",
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" <td>21.0750</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>9</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)</td>\n",
" <td>female</td>\n",
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" <td>11.1333</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>10</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>Nasser, Mrs. Nicholas (Adele Achem)</td>\n",
" <td>female</td>\n",
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" <td>NaN</td>\n",
" <td>C</td>\n",
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" <tr>\n",
" <th>10</th>\n",
" <td>11</td>\n",
" <td>1</td>\n",
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" <td>S</td>\n",
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" <tr>\n",
" <th>11</th>\n",
" <td>12</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Bonnell, Miss. Elizabeth</td>\n",
" <td>female</td>\n",
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" <td>0</td>\n",
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" <td>26.5500</td>\n",
" <td>C103</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>13</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
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" <td>8.0500</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
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" <tr>\n",
" <th>13</th>\n",
" <td>14</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Andersson, Mr. Anders Johan</td>\n",
" <td>male</td>\n",
" <td>39.0</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>347082</td>\n",
" <td>31.2750</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
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" <tr>\n",
" <th>14</th>\n",
" <td>15</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Vestrom, Miss. Hulda Amanda Adolfina</td>\n",
" <td>female</td>\n",
" <td>14.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>350406</td>\n",
" <td>7.8542</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
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" <tr>\n",
" <th>15</th>\n",
" <td>16</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>Hewlett, Mrs. (Mary D Kingcome)</td>\n",
" <td>female</td>\n",
" <td>55.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>248706</td>\n",
" <td>16.0000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>17</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Rice, Master. Eugene</td>\n",
" <td>male</td>\n",
" <td>2.0</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" <td>382652</td>\n",
" <td>29.1250</td>\n",
" <td>NaN</td>\n",
" <td>Q</td>\n",
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" <tr>\n",
" <th>17</th>\n",
" <td>18</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>Williams, Mr. Charles Eugene</td>\n",
" <td>male</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>244373</td>\n",
" <td>13.0000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>19</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Vander Planke, Mrs. Julius (Emelia Maria Vande...</td>\n",
" <td>female</td>\n",
" <td>31.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>345763</td>\n",
" <td>18.0000</td>\n",
" <td>NaN</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>20</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>Masselmani, Mrs. Fatima</td>\n",
" <td>female</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2649</td>\n",
" <td>7.2250</td>\n",
" <td>NaN</td>\n",
" <td>C</td>\n",
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" <tr>\n",
" <th>20</th>\n",
" <td>21</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>Fynney, Mr. Joseph J</td>\n",
" <td>male</td>\n",
" <td>35.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>26.0000</td>\n",
" <td>NaN</td>\n",
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" <tr>\n",
" <th>21</th>\n",
" <td>22</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>Beesley, Mr. Lawrence</td>\n",
" <td>male</td>\n",
" <td>34.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>248698</td>\n",
" <td>13.0000</td>\n",
" <td>D56</td>\n",
" <td>S</td>\n",
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" <tr>\n",
" <th>22</th>\n",
" <td>23</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>McGowan, Miss. Anna \"Annie\"</td>\n",
" <td>female</td>\n",
" <td>15.0</td>\n",
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" <td>0</td>\n",
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" <td>8.0292</td>\n",
" <td>NaN</td>\n",
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" <tr>\n",
" <th>23</th>\n",
" <td>24</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Sloper, Mr. William Thompson</td>\n",
" <td>male</td>\n",
" <td>28.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>113788</td>\n",
" <td>35.5000</td>\n",
" <td>A6</td>\n",
" <td>S</td>\n",
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" <tr>\n",
" <th>24</th>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Palsson, Miss. Torborg Danira</td>\n",
" <td>female</td>\n",
" <td>8.0</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>349909</td>\n",
" <td>21.0750</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
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" <tr>\n",
" <th>25</th>\n",
" <td>26</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>Asplund, Mrs. Carl Oscar (Selma Augusta Emilia...</td>\n",
" <td>female</td>\n",
" <td>38.0</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>347077</td>\n",
" <td>31.3875</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>27</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Emir, Mr. Farred Chehab</td>\n",
" <td>male</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2631</td>\n",
" <td>7.2250</td>\n",
" <td>NaN</td>\n",
" <td>C</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>28</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>Fortune, Mr. Charles Alexander</td>\n",
" <td>male</td>\n",
" <td>19.0</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>19950</td>\n",
" <td>263.0000</td>\n",
" <td>C23 C25 C27</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>29</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>O'Dwyer, Miss. Ellen \"Nellie\"</td>\n",
" <td>female</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>330959</td>\n",
" <td>7.8792</td>\n",
" <td>NaN</td>\n",
" <td>Q</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Todoroff, Mr. Lalio</td>\n",
" <td>male</td>\n",
" <td>NaN</td>\n",
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" <td>0</td>\n",
" <td>349216</td>\n",
" <td>7.8958</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
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" <tr>\n",
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" <tr>\n",
" <th>861</th>\n",
" <td>862</td>\n",
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" <td>male</td>\n",
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" <td>28134</td>\n",
" <td>11.5000</td>\n",
" <td>NaN</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>862</th>\n",
" <td>863</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Swift, Mrs. Frederick Joel (Margaret Welles Ba...</td>\n",
" <td>female</td>\n",
" <td>48.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>17466</td>\n",
" <td>25.9292</td>\n",
" <td>D17</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>863</th>\n",
" <td>864</td>\n",
" <td>0</td>\n",
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" <td>Sage, Miss. Dorothy Edith \"Dolly\"</td>\n",
" <td>female</td>\n",
" <td>NaN</td>\n",
" <td>8</td>\n",
" <td>2</td>\n",
" <td>CA. 2343</td>\n",
" <td>69.5500</td>\n",
" <td>NaN</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>864</th>\n",
" <td>865</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>Gill, Mr. John William</td>\n",
" <td>male</td>\n",
" <td>24.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>233866</td>\n",
" <td>13.0000</td>\n",
" <td>NaN</td>\n",
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" <tr>\n",
" <th>865</th>\n",
" <td>866</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>Bystrom, Mrs. (Karolina)</td>\n",
" <td>female</td>\n",
" <td>42.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>236852</td>\n",
" <td>13.0000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>866</th>\n",
" <td>867</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>Duran y More, Miss. Asuncion</td>\n",
" <td>female</td>\n",
" <td>27.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>SC/PARIS 2149</td>\n",
" <td>13.8583</td>\n",
" <td>NaN</td>\n",
" <td>C</td>\n",
" </tr>\n",
" <tr>\n",
" <th>867</th>\n",
" <td>868</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>Roebling, Mr. Washington Augustus II</td>\n",
" <td>male</td>\n",
" <td>31.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>PC 17590</td>\n",
" <td>50.4958</td>\n",
" <td>A24</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>868</th>\n",
" <td>869</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>van Melkebeke, Mr. Philemon</td>\n",
" <td>male</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>345777</td>\n",
" <td>9.5000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>869</th>\n",
" <td>870</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>Johnson, Master. Harold Theodor</td>\n",
" <td>male</td>\n",
" <td>4.0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>347742</td>\n",
" <td>11.1333</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>870</th>\n",
" <td>871</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Balkic, Mr. Cerin</td>\n",
" <td>male</td>\n",
" <td>26.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>349248</td>\n",
" <td>7.8958</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>871</th>\n",
" <td>872</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Beckwith, Mrs. Richard Leonard (Sallie Monypeny)</td>\n",
" <td>female</td>\n",
" <td>47.0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>11751</td>\n",
" <td>52.5542</td>\n",
" <td>D35</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>872</th>\n",
" <td>873</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>Carlsson, Mr. Frans Olof</td>\n",
" <td>male</td>\n",
" <td>33.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>695</td>\n",
" <td>5.0000</td>\n",
" <td>B51 B53 B55</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>873</th>\n",
" <td>874</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Vander Cruyssen, Mr. Victor</td>\n",
" <td>male</td>\n",
" <td>47.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>345765</td>\n",
" <td>9.0000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>874</th>\n",
" <td>875</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>Abelson, Mrs. Samuel (Hannah Wizosky)</td>\n",
" <td>female</td>\n",
" <td>28.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>P/PP 3381</td>\n",
" <td>24.0000</td>\n",
" <td>NaN</td>\n",
" <td>C</td>\n",
" </tr>\n",
" <tr>\n",
" <th>875</th>\n",
" <td>876</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>Najib, Miss. Adele Kiamie \"Jane\"</td>\n",
" <td>female</td>\n",
" <td>15.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2667</td>\n",
" <td>7.2250</td>\n",
" <td>NaN</td>\n",
" <td>C</td>\n",
" </tr>\n",
" <tr>\n",
" <th>876</th>\n",
" <td>877</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Gustafsson, Mr. Alfred Ossian</td>\n",
" <td>male</td>\n",
" <td>20.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>7534</td>\n",
" <td>9.8458</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>877</th>\n",
" <td>878</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Petroff, Mr. Nedelio</td>\n",
" <td>male</td>\n",
" <td>19.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>349212</td>\n",
" <td>7.8958</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>878</th>\n",
" <td>879</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Laleff, Mr. Kristo</td>\n",
" <td>male</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>349217</td>\n",
" <td>7.8958</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>879</th>\n",
" <td>880</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)</td>\n",
" <td>female</td>\n",
" <td>56.0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>11767</td>\n",
" <td>83.1583</td>\n",
" <td>C50</td>\n",
" <td>C</td>\n",
" </tr>\n",
" <tr>\n",
" <th>880</th>\n",
" <td>881</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>Shelley, Mrs. William (Imanita Parrish Hall)</td>\n",
" <td>female</td>\n",
" <td>25.0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>230433</td>\n",
" <td>26.0000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>881</th>\n",
" <td>882</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Markun, Mr. Johann</td>\n",
" <td>male</td>\n",
" <td>33.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>349257</td>\n",
" <td>7.8958</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>882</th>\n",
" <td>883</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Dahlberg, Miss. Gerda Ulrika</td>\n",
" <td>female</td>\n",
" <td>22.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>7552</td>\n",
" <td>10.5167</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>883</th>\n",
" <td>884</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>Banfield, Mr. Frederick James</td>\n",
" <td>male</td>\n",
" <td>28.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>C.A./SOTON 34068</td>\n",
" <td>10.5000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>884</th>\n",
" <td>885</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Sutehall, Mr. Henry Jr</td>\n",
" <td>male</td>\n",
" <td>25.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>SOTON/OQ 392076</td>\n",
" <td>7.0500</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>885</th>\n",
" <td>886</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Rice, Mrs. William (Margaret Norton)</td>\n",
" <td>female</td>\n",
" <td>39.0</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>382652</td>\n",
" <td>29.1250</td>\n",
" <td>NaN</td>\n",
" <td>Q</td>\n",
" </tr>\n",
" <tr>\n",
" <th>886</th>\n",
" <td>887</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>Montvila, Rev. Juozas</td>\n",
" <td>male</td>\n",
" <td>27.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>211536</td>\n",
" <td>13.0000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>887</th>\n",
" <td>888</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Graham, Miss. Margaret Edith</td>\n",
" <td>female</td>\n",
" <td>19.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>112053</td>\n",
" <td>30.0000</td>\n",
" <td>B42</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>888</th>\n",
" <td>889</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Johnston, Miss. Catherine Helen \"Carrie\"</td>\n",
" <td>female</td>\n",
" <td>NaN</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>W./C. 6607</td>\n",
" <td>23.4500</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>889</th>\n",
" <td>890</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Behr, Mr. Karl Howell</td>\n",
" <td>male</td>\n",
" <td>26.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>111369</td>\n",
" <td>30.0000</td>\n",
" <td>C148</td>\n",
" <td>C</td>\n",
" </tr>\n",
" <tr>\n",
" <th>890</th>\n",
" <td>891</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Dooley, Mr. Patrick</td>\n",
" <td>male</td>\n",
" <td>32.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>370376</td>\n",
" <td>7.7500</td>\n",
" <td>NaN</td>\n",
" <td>Q</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>891 rows × 12 columns</p>\n",
"</div>"
],
"text/plain": [
" PassengerId Survived Pclass \\\n",
"0 1 0 3 \n",
"1 2 1 1 \n",
"2 3 1 3 \n",
"3 4 1 1 \n",
"4 5 0 3 \n",
"5 6 0 3 \n",
"6 7 0 1 \n",
"7 8 0 3 \n",
"8 9 1 3 \n",
"9 10 1 2 \n",
"10 11 1 3 \n",
"11 12 1 1 \n",
"12 13 0 3 \n",
"13 14 0 3 \n",
"14 15 0 3 \n",
"15 16 1 2 \n",
"16 17 0 3 \n",
"17 18 1 2 \n",
"18 19 0 3 \n",
"19 20 1 3 \n",
"20 21 0 2 \n",
"21 22 1 2 \n",
"22 23 1 3 \n",
"23 24 1 1 \n",
"24 25 0 3 \n",
"25 26 1 3 \n",
"26 27 0 3 \n",
"27 28 0 1 \n",
"28 29 1 3 \n",
"29 30 0 3 \n",
".. ... ... ... \n",
"861 862 0 2 \n",
"862 863 1 1 \n",
"863 864 0 3 \n",
"864 865 0 2 \n",
"865 866 1 2 \n",
"866 867 1 2 \n",
"867 868 0 1 \n",
"868 869 0 3 \n",
"869 870 1 3 \n",
"870 871 0 3 \n",
"871 872 1 1 \n",
"872 873 0 1 \n",
"873 874 0 3 \n",
"874 875 1 2 \n",
"875 876 1 3 \n",
"876 877 0 3 \n",
"877 878 0 3 \n",
"878 879 0 3 \n",
"879 880 1 1 \n",
"880 881 1 2 \n",
"881 882 0 3 \n",
"882 883 0 3 \n",
"883 884 0 2 \n",
"884 885 0 3 \n",
"885 886 0 3 \n",
"886 887 0 2 \n",
"887 888 1 1 \n",
"888 889 0 3 \n",
"889 890 1 1 \n",
"890 891 0 3 \n",
"\n",
" Name Sex Age SibSp \\\n",
"0 Braund, Mr. Owen Harris male 22.0 1 \n",
"1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n",
"2 Heikkinen, Miss. Laina female 26.0 0 \n",
"3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n",
"4 Allen, Mr. William Henry male 35.0 0 \n",
"5 Moran, Mr. James male NaN 0 \n",
"6 McCarthy, Mr. Timothy J male 54.0 0 \n",
"7 Palsson, Master. Gosta Leonard male 2.0 3 \n",
"8 Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg) female 27.0 0 \n",
"9 Nasser, Mrs. Nicholas (Adele Achem) female 14.0 1 \n",
"10 Sandstrom, Miss. Marguerite Rut female 4.0 1 \n",
"11 Bonnell, Miss. Elizabeth female 58.0 0 \n",
"12 Saundercock, Mr. William Henry male 20.0 0 \n",
"13 Andersson, Mr. Anders Johan male 39.0 1 \n",
"14 Vestrom, Miss. Hulda Amanda Adolfina female 14.0 0 \n",
"15 Hewlett, Mrs. (Mary D Kingcome) female 55.0 0 \n",
"16 Rice, Master. Eugene male 2.0 4 \n",
"17 Williams, Mr. Charles Eugene male NaN 0 \n",
"18 Vander Planke, Mrs. Julius (Emelia Maria Vande... female 31.0 1 \n",
"19 Masselmani, Mrs. Fatima female NaN 0 \n",
"20 Fynney, Mr. Joseph J male 35.0 0 \n",
"21 Beesley, Mr. Lawrence male 34.0 0 \n",
"22 McGowan, Miss. Anna \"Annie\" female 15.0 0 \n",
"23 Sloper, Mr. William Thompson male 28.0 0 \n",
"24 Palsson, Miss. Torborg Danira female 8.0 3 \n",
"25 Asplund, Mrs. Carl Oscar (Selma Augusta Emilia... female 38.0 1 \n",
"26 Emir, Mr. Farred Chehab male NaN 0 \n",
"27 Fortune, Mr. Charles Alexander male 19.0 3 \n",
"28 O'Dwyer, Miss. Ellen \"Nellie\" female NaN 0 \n",
"29 Todoroff, Mr. Lalio male NaN 0 \n",
".. ... ... ... ... \n",
"861 Giles, Mr. Frederick Edward male 21.0 1 \n",
"862 Swift, Mrs. Frederick Joel (Margaret Welles Ba... female 48.0 0 \n",
"863 Sage, Miss. Dorothy Edith \"Dolly\" female NaN 8 \n",
"864 Gill, Mr. John William male 24.0 0 \n",
"865 Bystrom, Mrs. (Karolina) female 42.0 0 \n",
"866 Duran y More, Miss. Asuncion female 27.0 1 \n",
"867 Roebling, Mr. Washington Augustus II male 31.0 0 \n",
"868 van Melkebeke, Mr. Philemon male NaN 0 \n",
"869 Johnson, Master. Harold Theodor male 4.0 1 \n",
"870 Balkic, Mr. Cerin male 26.0 0 \n",
"871 Beckwith, Mrs. Richard Leonard (Sallie Monypeny) female 47.0 1 \n",
"872 Carlsson, Mr. Frans Olof male 33.0 0 \n",
"873 Vander Cruyssen, Mr. Victor male 47.0 0 \n",
"874 Abelson, Mrs. Samuel (Hannah Wizosky) female 28.0 1 \n",
"875 Najib, Miss. Adele Kiamie \"Jane\" female 15.0 0 \n",
"876 Gustafsson, Mr. Alfred Ossian male 20.0 0 \n",
"877 Petroff, Mr. Nedelio male 19.0 0 \n",
"878 Laleff, Mr. Kristo male NaN 0 \n",
"879 Potter, Mrs. Thomas Jr (Lily Alexenia Wilson) female 56.0 0 \n",
"880 Shelley, Mrs. William (Imanita Parrish Hall) female 25.0 0 \n",
"881 Markun, Mr. Johann male 33.0 0 \n",
"882 Dahlberg, Miss. Gerda Ulrika female 22.0 0 \n",
"883 Banfield, Mr. Frederick James male 28.0 0 \n",
"884 Sutehall, Mr. Henry Jr male 25.0 0 \n",
"885 Rice, Mrs. William (Margaret Norton) female 39.0 0 \n",
"886 Montvila, Rev. Juozas male 27.0 0 \n",
"887 Graham, Miss. Margaret Edith female 19.0 0 \n",
"888 Johnston, Miss. Catherine Helen \"Carrie\" female NaN 1 \n",
"889 Behr, Mr. Karl Howell male 26.0 0 \n",
"890 Dooley, Mr. Patrick male 32.0 0 \n",
"\n",
" Parch Ticket Fare Cabin Embarked \n",
"0 0 A/5 21171 7.2500 NaN S \n",
"1 0 PC 17599 71.2833 C85 C \n",
"2 0 STON/O2. 3101282 7.9250 NaN S \n",
"3 0 113803 53.1000 C123 S \n",
"4 0 373450 8.0500 NaN S \n",
"5 0 330877 8.4583 NaN Q \n",
"6 0 17463 51.8625 E46 S \n",
"7 1 349909 21.0750 NaN S \n",
"8 2 347742 11.1333 NaN S \n",
"9 0 237736 30.0708 NaN C \n",
"10 1 PP 9549 16.7000 G6 S \n",
"11 0 113783 26.5500 C103 S \n",
"12 0 A/5. 2151 8.0500 NaN S \n",
"13 5 347082 31.2750 NaN S \n",
"14 0 350406 7.8542 NaN S \n",
"15 0 248706 16.0000 NaN S \n",
"16 1 382652 29.1250 NaN Q \n",
"17 0 244373 13.0000 NaN S \n",
"18 0 345763 18.0000 NaN S \n",
"19 0 2649 7.2250 NaN C \n",
"20 0 239865 26.0000 NaN S \n",
"21 0 248698 13.0000 D56 S \n",
"22 0 330923 8.0292 NaN Q \n",
"23 0 113788 35.5000 A6 S \n",
"24 1 349909 21.0750 NaN S \n",
"25 5 347077 31.3875 NaN S \n",
"26 0 2631 7.2250 NaN C \n",
"27 2 19950 263.0000 C23 C25 C27 S \n",
"28 0 330959 7.8792 NaN Q \n",
"29 0 349216 7.8958 NaN S \n",
".. ... ... ... ... ... \n",
"861 0 28134 11.5000 NaN S \n",
"862 0 17466 25.9292 D17 S \n",
"863 2 CA. 2343 69.5500 NaN S \n",
"864 0 233866 13.0000 NaN S \n",
"865 0 236852 13.0000 NaN S \n",
"866 0 SC/PARIS 2149 13.8583 NaN C \n",
"867 0 PC 17590 50.4958 A24 S \n",
"868 0 345777 9.5000 NaN S \n",
"869 1 347742 11.1333 NaN S \n",
"870 0 349248 7.8958 NaN S \n",
"871 1 11751 52.5542 D35 S \n",
"872 0 695 5.0000 B51 B53 B55 S \n",
"873 0 345765 9.0000 NaN S \n",
"874 0 P/PP 3381 24.0000 NaN C \n",
"875 0 2667 7.2250 NaN C \n",
"876 0 7534 9.8458 NaN S \n",
"877 0 349212 7.8958 NaN S \n",
"878 0 349217 7.8958 NaN S \n",
"879 1 11767 83.1583 C50 C \n",
"880 1 230433 26.0000 NaN S \n",
"881 0 349257 7.8958 NaN S \n",
"882 0 7552 10.5167 NaN S \n",
"883 0 C.A./SOTON 34068 10.5000 NaN S \n",
"884 0 SOTON/OQ 392076 7.0500 NaN S \n",
"885 5 382652 29.1250 NaN Q \n",
"886 0 211536 13.0000 NaN S \n",
"887 0 112053 30.0000 B42 S \n",
"888 2 W./C. 6607 23.4500 NaN S \n",
"889 0 111369 30.0000 C148 C \n",
"890 0 370376 7.7500 NaN Q \n",
"\n",
"[891 rows x 12 columns]"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.read_csv(io.StringIO(s.decode('utf-8')))\n",
"df"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## References"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* [Pandas API input-output](http://pandas.pydata.org/pandas-docs/stable/api.html#input-output)\n",
"* [Pandas API - pandas.read_csv](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html)\n",
"* [DataFrame](http://pandas.pydata.org/pandas-docs/stable/dsintro.html)\n",
"* [An introduction to NumPy and Scipy](http://www.engr.ucsb.edu/~shell/che210d/numpy.pdf)\n",
"* [NumPy tutorial](https://docs.scipy.org/doc/numpy-dev/user/quickstart.html)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Licence"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/). \n",
"\n",
"© 2016 Carlos A. Iglesias, Universidad Politécnica de Madrid."
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
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"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.1"
}
},
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}
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