python - Overlaying multiple histograms using pandas

Question

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.

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.

Code:

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()

Answer 1

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()

gives