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"""
===============================================
Editing the colormap and normalization of a Map
===============================================
How to edit the display of a map.
"""
import matplotlib
import matplotlib.colors as colors
import matplotlib.pyplot as plt
import sunpy.map
from sunpy.data.sample import AIA_171_IMAGE
###############################################################################
# We start with the sample data.
aiamap = sunpy.map.Map(AIA_171_IMAGE)
###############################################################################
# All plot settings for a map are stored in the ``plot_settings`` attribute.
# How a Map is displayed is determined by its colormap, which sets the colors
# , and the normalization, which sets how data values are translated to colors.
# Let's replace the colormap and normalization.
aiamap.plot_settings['cmap'] = matplotlib.colormaps['Greys_r']
aiamap.plot_settings['norm'] = colors.LogNorm(100, aiamap.max())
###############################################################################
# To see all of the colormaps sunpy provides see `sunpy.visualization.colormaps`.
# Matplotlib provides a number of `colormaps <https://matplotlib.org/stable/gallery/color/colormap_reference.html>`__
# and `normalizations <https://matplotlib.org/stable/users/explain/colors/colormapnorms.html>`__.
# For more advanced normalizations see `astropy.visualization`.
fig = plt.figure()
ax = fig.add_subplot(projection=aiamap)
aiamap.plot(axes=ax)
plt.colorbar()
plt.show()
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