save a pandas.Series histogram plot to file

Use the Figure.savefig() method, like so:

ax = s.hist()  # s is an instance of Series
fig = ax.get_figure()
fig.savefig('/path/to/figure.pdf')

It doesn't have to end in pdf, there are many options. Check out the documentation.

Alternatively, you can use the pyplot interface and just call the savefig as a function to save the most recently created figure:

import matplotlib.pyplot as plt
s.hist()
plt.savefig('path/to/figure.pdf')  # saves the current figure

Plots from multiple columns

• Added from a comment toto_tico made on 2018-05-11
• If you are getting this error AttributeError: 'numpy.ndarray' object has no attribute 'get_figure', then it is likely that you are plotting multiple columns.
  • In this case, ax will be an array of all the axes.

ax = s.hist(columns=['colA', 'colB'])

# try one of the following
fig = ax[0].get_figure()
fig = ax[0][0].get_figure()

fig.savefig('figure.pdf')

You can use ax.figure.savefig():

import pandas as pd

s = pd.Series([0, 1])
ax = s.plot.hist()
ax.figure.savefig('demo-file.pdf')

This has no practical benefit over ax.get_figure().savefig() as suggested in Philip Cloud's answer, so you can pick the option you find the most aesthetically pleasing. In fact, get_figure() simply returns self.figure:

# Source from snippet linked above
def get_figure(self):
    """Return the `.Figure` instance the artist belongs to."""
    return self.figure