Pandas数据帧错误:matplotlib.axes._subplots.AxesSubplot

Question

import pandas as pd
import matplotlib.pyplot as plt

file = 'd:\\a\\pandas\\test.xlsx'
data = pd.ExcelFile(file)
df1 = data.parse('Link')
df2 = df1[['dataFor', 'total']]
df2

收益:

 print (type(df2))

告诉我

class 'pandas.core.frame.DataFrame'

试

df2.plot(kind='line')

回报

matplotlib.axes._subplots.AxesSubplot at 0xe4241d0

可能是环境吗？

Jupyter notebook > Help > About

The version of the notebook server is 4.2.3 and is running on:
Python 3.5.2 |Anaconda 4.2.0 (32-bit)| (default, Jul  5 2016, 11:45:57) [MSC    v.1900 32 bit (Intel)]

故障在哪里？matplotlib仍然是标准还是初学者应该选择Bokeh还是两者兼而有之？

Answer 1

如果您想要内联查看绘图,请使用

%matplotlib inline

在标题中(在导入之前).

如果要在窗口中显示图形,请添加该行

plt.show()

最后(确保已import matplotlib.pyplot as plt在标题中导入).