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"""
==========================
Masking out the solar disk
==========================
How to mask out all emission from the solar disk.
"""
import matplotlib.pyplot as plt
import sunpy.map
from sunpy.data.sample import AIA_171_IMAGE
from sunpy.map.maputils import all_coordinates_from_map, coordinate_is_on_solar_disk
###############################################################################
# We start with the sample data.
aia = sunpy.map.Map(AIA_171_IMAGE)
###############################################################################
# A utility function gives us access to the helioprojective coordinate of each
# pixels. We can use that to create a new array of all the coordinates
# that are on the solar disk.
hpc_coords = all_coordinates_from_map(aia)
###############################################################################
# Now, we can create a mask from the coordinates by using another utility
# function that gives us a mask that has `True` for those coordinates that are
# on the solar disk. We also make a slight change to the colormap so that
# masked values are shown as black instead of the default white.
mask = coordinate_is_on_solar_disk(hpc_coords)
palette = aia.cmap.copy()
palette.set_bad('black')
###############################################################################
# Finally we create a new map with our new mask.
scaled_map = sunpy.map.Map(aia.data, aia.meta, mask=mask)
###############################################################################
# Let's plot the results using our modified colormap.
plt.figure()
scaled_map.plot(cmap=palette)
scaled_map.draw_limb()
plt.show()
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