pandas 无法绘制饼图的值计数
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Can't plot value counts for pie chart
提问by squidvision
I wrote a function to plot the distribution of values for variables in a pie chart, as shown below. 
我编写了一个函数来绘制饼图中变量的值分布，如下所示。
def draw_piecharts(df, variables, n_rows, n_cols):
df[variables].value_counts.plot(kind='pie', layout=(n_rows,n_cols), subplots=True)
plt.show()
def main():
util.draw_piecharts(df, [ 'TARGET', 'BanruptcyInd'], 1,2)
if __name__ == "__main__":
main()
Unfortunately my function doesn't compute because dataframes have no attribute value_counts(), and value_counts is the only way I know how to get the distribution plotted in a pie chart.
Here's a sample of the variables being plotted:
不幸的是，我的函数没有计算，因为数据框没有属性value_counts()，而 value_counts 是我知道如何在饼图中绘制分布的唯一方法。以下是绘制的变量示例：
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 0
10 0
11 0
12 1
13 0
14 0
15 0
16 0
17 1
18 0
19 0
20 0
21 1
22 0
23 0
24 1
25 0
26 1
27 0
28 0
29 0
Name: TARGET, dtype: int64
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 0
10 0
11 0
12 0
13 0
14 0
15 0
16 0
17 0
18 0
19 0
20 0
21 0
22 0
23 0
24 0
25 0
26 0
27 0
28 0
29 0
回答by cge
While value_countsis a Series method, it's easily applied to the Series inside DataFrames by using DataFrame.apply. In your case. for example,
虽然value_counts是一个 Series 方法，但它很容易通过使用DataFrame.apply. 在你的情况下。例如，
df[variables].apply(pd.value_counts).plot(kind='pie', layout=(n_rows,n_cols), subplots=True)
(assuming pandashas been imported as pd).
（假设pandas已导入为pd）。
For a complete example:
一个完整的例子：
import pandas as pd
a = pd.DataFrame({'a': [1,0,0,0,1,1,0,0,1,0,1,1,1],'b': [1,0,0,0,1,1,0,0,1,0,0,0,0]})
a.apply(pd.value_counts).plot.pie(subplots=True)
