Setting axis labels for histogram pandas

Question

I’m fairly new to this, so there might be a very obvious answer to this. My apologies!

I’m plotting two histograms via a groubpy. I’d like my subplots to each have the same x and y labels and a common title. I understood that sharex=True would do the trick, but apparently not if I set the axis only after the df.hist. I’ve tried various versions of setting the xlabels and am lost now.

import pylab as pl
from pandas import *

histo_survived = df.groupby('Survived').hist(column='Age', sharex=True, sharey=True)
pl.title("Histogram of Ages")
pl.xlabel("Age")
pl.ylabel("Individuals")

So what I end up with is labels only for the subplot.

Out: <matplotlib.text.Text at 0x11a27ead0>

Screenshot of my histograms

Any idea on how to solve this?
(Have to use pandas/python.)

Asked By: horizoncrying

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Source

Answer 1

Labels are properties of axes objects, that needs to be set on each of them.
Here’s an example that worked for me:

frame = pd.DataFrame([np.random.rand(20), np.sign(np.random.rand(20) - 0.5)]).T
frame.columns = ['Age', 'Survived']

# Note that you can let the hist function do the groupby
# the function hist returns the list of axes created
axarr = frame.hist(column='Age', by = 'Survived', sharex=True, sharey=True, layout = (2, 1))

for ax in axarr.flatten():
    ax.set_xlabel("Age")
    ax.set_ylabel("Individuals")

Answered By: FLab

Setting axis labels for histogram pandas

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