How to adjust padding with cutoff or overlapping labels How to adjust padding with cutoff or overlapping labels python python

# How to adjust padding with cutoff or overlapping labels

Use:

import matplotlib.pyplot as pltplt.gcf().subplots_adjust(bottom=0.15)# alternate option without .gcfplt.subplots_adjust(bottom=0.15)

to make room for the label, where plt.gcf() means get the current figure. plt.gca(), which gets the current Axes, can also be used.

Edit:

Since I gave the answer, matplotlib has added the plt.tight_layout() function.

See matplotlib Tutorials: Tight Layout Guide

So I suggest using it:

fig, axes = plt.subplots(ncols=2, nrows=2, figsize=(8, 6))axes = axes.flatten()for ax in axes:    ax.set_ylabel(r'$\ln\left(\frac{x_a-x_b}{x_a-x_c}\right)$')    ax.set_xlabel(r'$\ln\left(\frac{x_a-x_d}{x_a-x_e}\right)$')plt.tight_layout()plt.show()

In case you want to store it to a file, you solve it using bbox_inches="tight" argument:

plt.savefig('myfile.png', bbox_inches="tight")

An easy option is to configure matplotlib to automatically adjust the plot size. It works perfectly for me and I'm not sure why it's not activated by default.

Method 1

Set this in your matplotlibrc file

figure.autolayout : True

See here for more information on customizing the matplotlibrc file: http://matplotlib.org/users/customizing.html

Method 2

Update the rcParams during runtime like this

from matplotlib import rcParamsrcParams.update({'figure.autolayout': True})

The advantage of using this approach is that your code will produce the same graphs on differently-configured machines.