[1-1] NumPy, matplotlibに加えて、pandasをインポートします。



In [1]:

    
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd

[1-2] タイタニック号のデータを読み込んで、データフレームに格納します。



In [2]:

    
data = pd.read_csv('http://biostat.mc.vanderbilt.edu/wiki/pub/Main/DataSets/titanic3.csv')

[1-3] 先頭の3行分を表示します。



In [3]:

    
data[:3]









    Out[3]:






  
    
      
      pclass
      survived
      name
      sex
      age
      sibsp
      parch
      ticket
      fare
      cabin
      embarked
      boat
      body
      home.dest
    
  
  
    
      0
      1
      1
      Allen, Miss. Elisabeth Walton
      female
      29.00
      0
      0
      24160
      211.3375
      B5
      S
      2
      NaN
      St Louis, MO
    
    
      1
      1
      1
      Allison, Master. Hudson Trevor
      male
      0.92
      1
      2
      113781
      151.5500
      C22 C26
      S
      11
      NaN
      Montreal, PQ / Chesterville, ON
    
    
      2
      1
      0
      Allison, Miss. Helen Loraine
      female
      2.00
      1
      2
      113781
      151.5500
      C22 C26
      S
      NaN
      NaN
      Montreal, PQ / Chesterville, ON

[1-4] 性別（sex）と生存（survived）の列だけを取り出したデータフレームを作成する例です。



In [4]:

    
df = data[['sex','survived']]
df[:3]

	pclass	survived	name	sex	age	sibsp	parch	ticket	fare	cabin	embarked	boat	body	home.dest
0	1	1	Allen, Miss. Elisabeth Walton	female	29.00	0	0	24160	211.3375	B5	S	2	NaN	St Louis, MO
1	1	1	Allison, Master. Hudson Trevor	male	0.92	1	2	113781	151.5500	C22 C26	S	11	NaN	Montreal, PQ / Chesterville, ON
2	1	0	Allison, Miss. Helen Loraine	female	2.00	1	2	113781	151.5500	C22 C26	S	NaN	NaN	Montreal, PQ / Chesterville, ON