數據處理作業

根據train的屬性找到路徑，把數據讀取出來

import numpy as np
import pandas as pd
data=pd.read_csv(r'C:\Users\Administrator\Desktop\train.csv')
data

查看是否存在空值，每列空值個數

data.isnull().sum()

判斷Age中的空值，用isnull，TRUE表示爲空值
用衆數填充Age中的空值

data.Age.value_counts()
data.Age.isnull()
data.Age.fillna(24.00,inplace=True)

統計出男女比例

data.Sex.value_counts()/len(data.Sex)

統計出存活與死亡的比例

data.Survived.value_counts()/len(data.Survived)

找出已知年齡最大最小值

data.Age.max()
data.Age.min()

畫出男女存活死亡圖

import matplotlib.pyplot as plt
smale= data.Survived[data.Sex=='male'].value_counts()
sfemale= data.Survived[data.Sex=='female'].value_counts()
df = pd.DataFrame({u'male':smale,u'female':sfemale})
df.plot(kind = 'bar')
plt.xlabel(u'survived')
plt.ylabel(u'number')
plt.title(u"Bar Chart of Men and Women's Survival and Death ")
plt.show()

將數據存成csv格式文件

data1 = pd.DataFrame(data) 
data1.to_csv(r'C:\Users\Administrator\Desktop\data1.csv')
data1