1.使用matplotlib畫餅狀圖（pie）
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
Survived_count =titanic_newdf.groupby('Survived')['Survived'].count()
print Survived_count
------
Survived
0? ? 424
1? ? 290
Name: Survived, dtype: int64
--------
0為Non-survived,1為Survived:
plt.pie(Survived_count, labels=['Non-survived','Survived'], autopct='%2.1f%%')
#autopct，圓里面的文本格式，%2.1f%%表示小數(shù)有2位，整數(shù)有1位的浮點數(shù)
labels自動對應(yīng)Survived_count的第0和1行
2. 柱狀圖
surv_rate_bysex
-----
Sex
female? ? 0.754789
male? ? ? 0.205298
Name: Survived, dtype: float64
-----
surv_rate_bysex.plot(kind='bar',title='Sex vs Survived Rate')
plt.ylabel('Survived Rate')
