# -*- coding: utf-8 -*-
"""
===========================
Imshow and maps coordinates
===========================

How to use imshow with a map and overplot points specified by pixel coordinates
and map coordinates.
"""
import numpy as np
import matplotlib.pyplot as plt

import astropy.units as u

import sunpy.map
from astropy.coordinates import SkyCoord
from sunpy.data.sample import AIA_171_IMAGE

###############################################################################
# We start with the sample data and create a submap of a smaller region.
aia = sunpy.map.Map(AIA_171_IMAGE)
top_right = SkyCoord(0 * u.arcsec, 1000 * u.arcsec, frame=aia.coordinate_frame)
bottom_left = SkyCoord(-1000 * u.arcsec, 0 * u.arcsec, frame=aia.coordinate_frame)
smap = aia.submap(bottom_left, top_right)

###############################################################################
# By setting the projection of the axis, a WCSAxes is created and this enables
# the plot to be created with the map coordinates, in this case helioprojective
# coordinates. The standard plot
# command expects pixel coordinates. It is also possible to plot a point using the
# map coordinates if we pass the transformation but this transform expects
# the values to be in degrees and not arcseconds.
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1, projection=smap)
print(ax)
ax.imshow(smap.data)
# plot a point in the middle of the image
pixel_coord = [smap.data.shape[0]/2., smap.data.shape[1]/2.] * u.pix
ax.plot(pixel_coord[0], pixel_coord[1], 'x', color='white',
        label=f'Pixel coordinate [{pixel_coord[0]}, {pixel_coord[1]}]')
ax.coords.grid(color='yellow', linestyle='solid', alpha=0.5)

map_coord = ([-300, 200] * u.arcsec)
# Using the transform command expects coordinates in degrees and not arcseconds
ax.plot(map_coord[0].to('deg'), map_coord[1].to('deg'), 'o', color='white', transform=ax.get_transform('world'),
        label=f'Map coordinate [{map_coord[0]}, {map_coord[1]}]')
plt.legend()
plt.show()

Create wcs_axis_map_example.py