save a pandas.Series histogram plot to file

PythonPandasHistogram

Python Problem Overview

In ipython Notebook, first create a pandas Series object, then by calling the instance method .hist(), the browser displays the figure.

I am wondering how to save this figure to a file (I mean not by right click and save as, but the commands needed in the script).

Python Solutions

Solution 1 - Python

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')

Solution 2 - Python

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

Solution 3 - Python

You can simply save your (e.g. histogram) plot like this:

df.plot.hist().get_figure().savefig('name')

Solution 4 - Python

Just wanted to add that the default resolution is 100dpi, which is fine for screen but won't work if you want to enlarge or print it. You can pass a 'dpi' parameter to get a high-resolution file:

ax = s.hist()  # s is an instance of Series
ax.figure.savefig('/path/to/figure.png', dpi=300)
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Content TypeOriginal AuthorOriginal Content on Stackoverflow
QuestionGeauxEricView Question on Stackoverflow
Solution 1 - PythonPhillip CloudView Answer on Stackoverflow
Solution 2 - PythonjoelostblomView Answer on Stackoverflow
Solution 3 - Pythonm_hView Answer on Stackoverflow
Solution 4 - PythonlarapsodiaView Answer on Stackoverflow