# Editing Map Colormaps and Normalization¶

A simple example to show how to edit the display of a map

from __future__ import print_function, division

import matplotlib.cm as cm
import matplotlib.pyplot as plt
import matplotlib.colors as colors

import sunpy.map
from sunpy.data.sample import AIA_171_IMAGE


We first create the Map using the sample data.

aiamap = sunpy.map.Map(AIA_171_IMAGE)


Now lets replace the colormap which sets the colors as well as the normalization which sets how data values are translated to colors

aiamap.plot_settings['cmap'] = plt.get_cmap('Greys_r')
aiamap.plot_settings['norm'] = colors.LogNorm(100, aiamap.max())


You can find more colormaps in matplotlib (https://matplotlib.org/examples/color/colormaps_reference.html) or look at the sunpy colormaps in sunpy.cm For more normalizations check out matplotlib.colors.Normalize or astropy provides additional norms in astropy.visualization

aiamap.plot()
plt.colorbar()
plt.show()


Total running time of the script: ( 0 minutes 1.673 seconds)

Gallery generated by Sphinx-Gallery