TypeError：“ AxesSubplot”对象不支持索引

如何解决TypeError：“ AxesSubplot”对象不支持索引

问题：

使用seaborn创建散点图，以市场价格显示价格趋势。考虑50种货币，具有最高的市场价值才能看到趋势。将地块大小分别设置为宽度10英寸和高度2英寸。

注意：这是在我们组织中进行的使用Hackerrank进行培训时的实践黑客马拉松问题。

import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import pickle


#File name: question.py
#initial try
''' 
def draw_scatterplot(df):
    plot,ax= plt.subplots(figsize=(10,2))
    plot =sns.scatterplot(x="price",y='market_cap',data=df.nlargest(50,'market_cap'),ax=ax)
    plot.data = df.nlargest(50,'market_cap')
    return plot
'''
#Later after studied post in stackover flow 
def draw_scatterplot(df):
    plot,ax= plt.subplots(1,1,figsize=(10,2),squeeze=False,sharex=False)
    plot =sns.scatterplot(x="price",ax=ax[0,0])
    plot.data = df.nlargest(50,'market_cap')
    return plot
    
def serialize_plot(plot,plot_dump_file):
    pickle.dump(plot,open(plot_dump_file,'wb'))
    
def main():
    file_name=input() # data_actual.csv
    df=pd.read_csv(file_name)
    
    plot = draw_scatterplot(df)
    
    serialize_plot(plot.axes,"plot_axes.pk")
    serialize_plot(plot.data,"plot_data.pk")
    
if __name__ == '__main__':
    main()
    

要测试程序，必须运行tests.py，同时执行以下操作，将出现以下错误：

    @classmethod
    def setup_class(cls):
        cls.aplot = pickle.load(open('data/actual_plots/aplot_axes.pk','rb'))
        cls.aplot_ax = cls.aplot[0][0]
        cls.gplot = pickle.load(open('plot_axes.pk','rb'))
>       cls.gplot_ax =  cls.gplot[0][0]
E       TypeError: 'AxesSubplot' object does not support indexing

tests.py:93: TypeError

'''

解决方法

似乎pickle.dump()使2d数组的尺寸缩小：

import matplotlib.pyplot as plt
import pickle

names = ["group_a","group_b","group_c"]
values = [1,10,100]

fig,ax = plt.subplots(2,3,figsize=(10,2),squeeze=False,sharex=False)

ax[0][0].scatter(names,values)

pickle.dump(fig.axes,open('plot_axes.pk','wb'))

print(ax)
print(type(ax))

输出

[[<AxesSubplot:> <AxesSubplot:> <AxesSubplot:>]
 [<AxesSubplot:> <AxesSubplot:> <AxesSubplot:>]]
<class 'numpy.ndarray'>

import matplotlib.pyplot as plt
import pickle

gplot = pickle.load(open('plot_axes.pk','rb'))

gplot_ax = gplot[0]

print(gplot)
print(type(gplot))

输出：

[<AxesSubplot:>,<AxesSubplot:>,<AxesSubplot:>]
<class 'list'>

因此，您可能需要改用cls.gplot[0]。