Pandas.plotting 不显示图表
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Pandas.plotting doesn't show graph
提问by michele
I'm following the tutorial in the book "introduction to machine learning with python" and i've copied the following code:
我正在学习“python机器学习简介”一书中的教程，我复制了以下代码：
#create dataframe from data in X_train
#label the colums using the strings in iris_dataset.features_names
iris_dataframe = pd.DataFrame(X_train, columns = iris_dataset.feature_names)
#create a scatter matrix from the dataframe, color by y_train
pd.plotting.scatter_matrix(iris_dataframe,c=y_train,
figsize=(15,15), marker='o',
hist_kwds={'bins':20},s=60,
alpha=.8,
cmap=mglearn.cm3)
It should plot a graph,but it only print those lines:
它应该绘制一个图形，但它只打印这些行：
array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7f0d073934a8>,
<matplotlib.axes._subplots.AxesSubplot object at 0x7f0d07352908>,
<matplotlib.axes._subplots.AxesSubplot object at 0x7f0d07376e48>,
<matplotlib.axes._subplots.AxesSubplot object at 0x7f0d0732ee48>],
[<matplotlib.axes._subplots.AxesSubplot object at 0x7f0d072e3f28>,
<matplotlib.axes._subplots.AxesSubplot object at 0x7f0d072e3f60>,
<matplotlib.axes._subplots.AxesSubplot object at 0x7f0d07308ac8>,
<matplotlib.axes._subplots.AxesSubplot object at 0x7f0d07211400>],
[<matplotlib.axes._subplots.AxesSubplot object at 0x7f0d071ca470>,
<matplotlib.axes._subplots.AxesSubplot object at 0x7f0d07183470>,
<matplotlib.axes._subplots.AxesSubplot object at 0x7f0d071be470>,
<matplotlib.axes._subplots.AxesSubplot object at 0x7f0d07165e80>],
[<matplotlib.axes._subplots.AxesSubplot object at 0x7f0d07127390>,
<matplotlib.axes._subplots.AxesSubplot object at 0x7f0d070e5390>,
<matplotlib.axes._subplots.AxesSubplot object at 0x7f0d0709d390>,
<matplotlib.axes._subplots.AxesSubplot object at 0x7f0d07047da0>]], dtype=object)
Can someone tell me a reason?
有人能告诉我原因吗？
EDIT-SOLVED:I do not know why but a after a re-run of the cells, the graph apperead..
编辑解决：我不知道为什么，但是在重新运行单元格后，图表出现了..
回答by ListsAndThings
pandas does not have a plotting library in itself. most users normally utilize the matplotlib library when plotting which has a different set of commands. Assuming you have all of the correct libraries installed including matplotlib I would end your code with:
pandas 本身没有绘图库。大多数用户在绘图时通常使用 matplotlib 库，该库具有不同的命令集。假设您安装了所有正确的库，包括 matplotlib，我会用以下代码结束您的代码：
import matplotlib.pyplot as plt
#assuming you got the correct conversion to a pandas dataframe
pd.plotting.scatter_matrix(df,c=y_train,
figsize=(15,15), marker='o',
hist_kwds={'bins':20},s=60,
alpha=.8,
cmap=mglearn.cm3)
plt.show()
Here is a linkto the matplotlib library that goes into the plt.show() There is also methods to save the figure, which can be found in the documentation here
回答by michele
SOLVED! I do not know why but after a re-run of all the cells of the jupyter notebook, the graph apperead correctly.
解决了！我不知道为什么，但在重新运行 jupyter notebook 的所有单元格后，图形显示正确。
