使用 pandas 叠加多个直方图

Overlaying multiple histograms using pandas(使用 pandas 叠加多个直方图)

问题描述

我有两个或三个具有相同标题的 csv 文件，我想绘制每一列的直方图，并在同一图上相互重叠.

I have two or three csv files with the same header and would like to draw the histograms for each column overlaying one another on the same plot.

以下代码为我提供了两个单独的图形，每个图形都包含每个文件的所有直方图.是否有一种紧凑的方法可以使用 pandas/matplot lib 将它们绘制在同一个图形上?我想象一些接近这个但使用数据帧的东西.

The following code gives me two separate figures, each containing all histograms for each of the files. Is there a compact way to go about plotting them together on the same figure using pandas/matplot lib? I imagine something close to this but using dataframes.

代码:

import pandas as pd
import matplotlib.pyplot as plt

df =  pd.read_csv('input1.csv')
df2 = pd.read_csv('input2.csv')
df.hist(bins=20)
df2.hist(bins=20)

plt.show()

推荐答案

In [18]: from pandas import DataFrame

In [19]: from numpy.random import randn

In [20]: df = DataFrame(randn(10, 2))

In [21]: df2 = DataFrame(randn(10, 2))

In [22]: axs = df.hist()

In [23]: for ax, (colname, values) in zip(axs.flat, df2.iteritems()):
   ....:     values.hist(ax=ax, bins=10)
   ....:

In [24]: draw()

给出

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