#coding:utf-8
import numpy as np
import pandas as pd

data_train = pd.read_csv('../input/train.csv')
# 
# print(data_train)
#print(data_train.head(10))


print(data_train.info())
print(data_train.describe())






import matplotlib.pyplot as plt

plt.subplot2grid((2, 3), (0, 0))
data_train.Survived.value_counts().plot(kind='bar') 
plt.title(u"获救情况 (1为获救)")  
plt.ylabel(u"人数")   

plt.subplot2grid((2,3), (0, 1))
data_train.Pclass.value_counts().plot(kind='bar')
plt.ylabel(u"人数")
plt.title(u"乘客等级分布")
plt.subplot2grid((2,3),(0,2))
plt.scatter(data_train.Survived, data_train.Age)
plt.ylabel(u"年龄")                         # 设定纵坐标名称
plt.grid(b=True, which='major', axis='y') 
plt.title(u"按年龄看获救分布 (1为获救)")


plt.subplot2grid((2,3),(1,0), colspan=2)
data_train.Age[data_train.Pclass == 1].plot(kind='kde')   
data_train.Age[data_train.Pclass == 2].plot(kind='kde')
data_train.Age[data_train.Pclass == 3].plot(kind='kde')
plt.xlabel(u"年龄")# plots an axis lable
plt.ylabel(u"密度") 
plt.title(u"各等级的乘客年龄分布")
plt.legend((u'头等舱', u'2等舱',u'3等舱'),loc='best') # sets our legend for our graph.


plt.subplot2grid((2,3),(1,2))
data_train.Embarked.value_counts().plot(kind='bar')
plt.title(u"各登船口岸上船人数")
plt.ylabel(u"人数")  
 
plt.show()