wanghui626


链接:http://pan.baidu.com/s/1i4PNJlr 密码:fz7e

 

import matplotlib.pyplot as plt
fig = plt.figure()
ax1 = fig.add_subplot(3,2,1)#当前几行几列 ,位置

ax2 = fig.add_subplot(3,2,2)


import matplotlib.pyplot as plt
plt.plot()
plot.show()
import matplotlib.pyplot as plt

first_second =unrate[0:12]
#把点化出来,再连成线
plt.plot(first_twelve[\'DATE\',first_twelve[\'VALUE\'])
plt.show()

http://pandas.pydata.org/pandas-docs/stable/io.html
中文速查表

 

ipython是interactive python,交互式pyhton,增强了很多REPL功能

NAN缺失值需要填充

import pandas from pd
age = titanic_survival["Age"]
print(age.local[0:10])

new -》 python3
import pandas
food_info = pandas.read_csv("food_info.csv")
print(type(food_info))
print(food_info.dtypes)
print(help(pandas.read_csv))

print food_info.shape
print (food_info)定义到第零号样本


shift+huiche程序就能运行了


int float object(String 类型)

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