Especially when working with grayscale images it is tedious to set the color map for every imshow
command as imshow(i, cmap='gray')
. How can I set the default color map matplotlib uses to grayscale or any other colormap?
If not provided, defaults to rcParams["figure. figsize"] (default: [6.4, 4.8]) = [6.4, 4.8] .
Jet is the default colorbar originally used by matlab, and this default was inherited in the early days of Python's matplotlib package.
I can tell that on this machine, DejaVu Sans is used by matplotlib.
To change the default colormap only for the current interactive session or one script use
import matplotlib as mpl mpl.rc('image', cmap='gray')
For versions of matplotlib
prior to 2.0 you have to use the rcParams dict. This still works in newer versions.
import matplotlib.pyplot as plt plt.rcParams['image.cmap'] = 'gray'
To change the default colormap permanently edit the matplotlibrc configuration file and add the line image.cmap: gray
. Replace the value gray with any other valid colormap according to your needs. The config file should be at ~/.config/matplotlib/matplotlibrc
, but you can find out the exact location with
mpl.matplotlib_fname()
This is especially useful if you have multiple matplotlib versions in different virtual environments.
See also http://txt.arboreus.com/2014/10/21/how-to-set-default-colormap-in-matplotlib.html and for general configuration of Matplotlib http://matplotlib.org/users/customizing.html
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