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"""
===========================================
Overlaying differentially rotated gridlines
===========================================
How to overlay differentially rotated gridlines on a Map.
The example uses the `~sunpy.coordinates.metaframes.RotatedSunFrame` coordinate
metaframe in `sunpy.coordinates` to overlay differentially rotated gridlines on
a Map. See :ref:`sunpy-coordinates-rotatedsunframe` for more details on using
`~sunpy.coordinates.metaframes.RotatedSunFrame`.
"""
import matplotlib.pyplot as plt
import astropy.units as u
import sunpy.map
from sunpy.coordinates import HeliographicStonyhurst, RotatedSunFrame
from sunpy.data.sample import AIA_171_IMAGE
##############################################################################
# Let's use an AIA observation, and plot lines of constant longitude in
# heliographic Stonyhurst. We'll plot the normal lines (prior to applying
# differential rotation) in white and the differentially rotated lines in
# blue.
# sphinx_gallery_defer_figures
aiamap = sunpy.map.Map(AIA_171_IMAGE)
fig = plt.figure()
ax = fig.add_subplot(projection=aiamap)
aiamap.plot(axes=ax, clip_interval=(1., 99.95)*u.percent)
##############################################################################
# Lines of constant longitude prior to differential rotation
# sphinx_gallery_defer_figures
overlay1 = ax.get_coords_overlay('heliographic_stonyhurst')
overlay1[0].set_ticks(spacing=15. * u.deg)
overlay1[1].set_ticks(spacing=90. * u.deg)
overlay1.grid(ls='-', color='white')
##############################################################################
# Differentially rotating the lines of constant longitude by 27 days
# Be aware that the differentially rotated lines are plotted in the
# original coordinate frame, so it doesn't account for any motion of the
# observer over 27 days.
rs_hgs = RotatedSunFrame(base=HeliographicStonyhurst(obstime=aiamap.date),
duration=27*u.day)
overlay2 = ax.get_coords_overlay(rs_hgs)
overlay2[0].set_ticks(spacing=15. * u.deg)
overlay2[1].set_ticks(spacing=90. * u.deg)
overlay2.grid(ls='-', color='blue')
plt.show()
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