使用 matplotlib 将 Pandas DataFrames 绘制成饼图
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Plotting Pandas DataFrames in to Pie Charts using matplotlib
提问by Nilani Algiriyage
采纳答案by Dan Allan
import matplotlib.pyplot as plt
plt.pie(DataFrame([1,2,3]))
seems to work as expected. If the DataFrame has more than one column, it will raise.
似乎按预期工作。如果 DataFrame 有不止一列，它将引发。
回答by cmgerber
Pandas has this built in to the pd.DataFrame.plot(). All you have to do is use kind='pie'flag and tell it which column you want (or use subplots=Trueto get all columns). This will automatically add the labels for you and even do the percentage labels as well.
Pandas 已将其内置到pd.DataFrame.plot(). 您所要做的就是使用kind='pie'标志并告诉它您想要哪个列（或用于subplots=True获取所有列）。这将自动为您添加标签，甚至还会添加百分比标签。
import matplotlib.pyplot as plt
df.Data.plot(kind='pie')
To make it a little more customization you can do this:
要使其更具自定义性，您可以执行以下操作：
fig = plt.figure(figsize=(6,6), dpi=200)
ax = plt.subplot(111)
df.Data.plot(kind='pie', ax=ax, autopct='%1.1f%%', startangle=270, fontsize=17)
Where you tell the DataFramethat ax=ax. You can also use all the normal matplotlib plt.pie()flags as shown above.
你在哪里告诉DataFrame那个ax=ax。您还可以使用matplotlib plt.pie()如上所示的所有普通标志。
回答by user2314737
To plot a pie chart from a dataframe dfyou can use Panda's plot.pie:
要从数据框中绘制饼图，df您可以使用 Panda 的plot.pie：
df.plot.pie(y='column_name')
Example:
例子：
import pandas as pd
df = pd.DataFrame({'activity': ['Work', 'Sleep', 'Play'],
'hours': [8, 10, 6]})
df.set_index('activity', inplace=True)
print(df)
# hours
# activity
# Work 8
# Sleep 10
# Play 6
plot = df.plot.pie(y='hours', figsize=(7, 7))
Note that the labels of the pie chart are the index entries, this is the reason for using set_indexto set the index to activity.
请注意，饼图的标签是索引条目，这就是使用set_index将索引设置为 的原因activity。
To style the plot, you can use all those arguments that can be passed to DataFrame.plot(), here an example showing percentages:
要设置绘图样式，您可以使用所有可以传递给DataFrame.plot() 的参数，这里是一个显示百分比的示例：
plot = df.plot.pie(y='hours', title="Title", legend=False, \
autopct='%1.1f%%', explode=(0, 0, 0.1), \
shadow=True, startangle=0)
