1.使用matplotlib画饼状图（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为Non-survived,1为Survived:
plt.pie(Survived_count, labels=['Non-survived','Survived'], autopct='%2.1f%%')
#autopct，圆里面的文本格式，%2.1f%%表示小数有2位，整数有1位的浮点数
labels自动对应Survived_count的第0和1行
2. 柱状图
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')
