1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41
|
"""
==============
Plotting a map
==============
How to create a plot of a map.
"""
# sphinx_gallery_thumbnail_number = 2
import matplotlib.pyplot as plt
import astropy.units as u
import sunpy.map
from sunpy.data.sample import AIA_171_IMAGE
###############################################################################
# We start with the sample data.
aiamap = sunpy.map.Map(AIA_171_IMAGE)
##############################################################################
# Let's plot the result. Setting the projection is necessary to ensure that
# pixels can be converted accurately to coordinates values.
plt.figure()
aiamap.plot()
aiamap.draw_limb()
aiamap.draw_grid()
plt.show()
##############################################################################
# The above image looks "dark" because the color scale is accounting for the
# small set of pixels that are extremely bright. We can use the keyword
# ``clip_interval`` to clip out pixels with extreme values. Here, we clip out
# the darkest 1% of pixels and the brightest 0.01% of pixels.
plt.figure()
aiamap.plot(clip_interval=(1, 99.99)*u.percent)
aiamap.draw_limb()
aiamap.draw_grid()
plt.show()
|