在使用Pandas绘图时，强制所有子图使用相同的轴范围

Question

I'm using the "by" option to create facet plots with Pandas like the following:

import pandas as pd
pd.Series(randn(1000)).hist(by=randint(0, 4, 1000), figsize=(6, 4))

Which is great. However I want both the x and y axis to be the same across all plots. Is there a built in way to do this? In ggplot I would use the scales="fixed" option but I don't see something like that built into the Pandas plotting.

Obviously my fallback is to write a few short lines that does this for me, but if there's an automagic way to do this, I'd like to use it.

Answer 1

You are looking for shared x- and y-axes which can be enabled by passing sharex=True and sharey=True as keyword arguments to hist .

This creates the subplots via matplotlib 's subplot machinery. The upside of this as opposed to manually positioning subplots and removing axes is that you can use a large matplotlib toolset to manipulate the axes, eg

import matplotlib.pyplot as plt
import pandas as pd
pd.Series(randn(1000)).hist(by=randint(0, 4, 1000), figsize=(6, 4),
                            sharex=True, sharey=True)

ax = plt.gca()
ax.set_xlim(-10, 10)
ax.set_ylim(0, 100)