pandas 多个地块不能作为历史

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在Pandas中使用数据框df，我试图在同一页面上绘制直方图，并通过3个不同的变量进行过滤；预期的结果是三种类型中每种类型的值的直方图.以下代码对我来说很适合PLOT，但是当我改用HIST时，它们全部相互叠加.有什么建议?

with a dataframe df in Pandas, I am trying to plot histograms on the same page filtering by 3 different variables; the intended outcome is histograms of the values for each of the three types. The following code works for me as PLOTs, but when I change to HISTs, they all stack on top of each other. Any suggestions?

plt.figure(1) plt.subplot(311) df[df.Type == 'Type1'].values.plot() plt.subplot(312) df[df.Type == 'Type2'].values.plot() plt.subplot(313) df[df.Type == 'Type3'].values.plot() plt.savefig('output.pdf')

这是熊猫中的错误，还是情节和历史不能互换?

Is this a bug in Pandas or are plot and hist not interchangable?

预先感谢

推荐答案

图和hist不能互换:hist是它自己的 DataFrame 和 Series 方法.您可以通过传入ax关键字来强制绘图独立.所以

Plot and hist aren't interchangabe: hist is its own DataFrame and Series methods. You might be able to force the plots to be independent by passing in an ax keyword. So

fig = plt.figure() ax1 = fig.add_subplot(3,1,1) df[df.Type == 'Type1'].values.hist(ax=ax1) ....