%matplotlib inline

import matplotlib.pyplot as plt
plt.rcParams['figure.figsize'] = (16, 10)

import cartopy.crs as ccrs

"""
Explanation: Cartopy
Cartopy is a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses.
We test here a few map examples using cartopy.
End of explanation
"""


# Set the projection to use
ax = plt.axes(projection=ccrs.PlateCarree())

# Draw coastlines
ax.coastlines();

ax = plt.axes(projection=ccrs.Mollweide())

# Add a land image
ax.stock_img();

"""
Explanation: There is a list of the available map projections in Cartopy.
End of explanation
"""


fig = plt.figure(figsize=(16, 10))

# Set the projection to use
ax = fig.add_subplot(1, 1, 1, projection=ccrs.Robinson())

# make the map global rather than have it zoom in to
# the extents of any plotted data
ax.set_global()

# Add a land image
ax.stock_img()

# Draw coastlines
ax.coastlines()

# Plot a point
ax.plot(-0.08, 51.53, 'o', color="r", markersize=8, transform=ccrs.PlateCarree())

# Draw a straight line
ax.plot([-0.08, 132], [51.53, 43.17], linewidth=3, transform=ccrs.PlateCarree())

# Draw a geodetic line
ax.plot([-0.08, 132], [51.53, 43.17], linewidth=3, transform=ccrs.Geodetic());


# Set the projection to use
ax = plt.axes(projection=ccrs.PlateCarree())

ax.stock_img();

ny_lon, ny_lat = -75, 43
delhi_lon, delhi_lat = 77.23, 28.61

# Draw a geodetic line
plt.plot([ny_lon, delhi_lon], [ny_lat, delhi_lat],
         color='blue', linewidth=2, marker='o', transform=ccrs.Geodetic())

# Draw a straight line
plt.plot([ny_lon, delhi_lon], [ny_lat, delhi_lat],
         color='gray', linestyle='--', transform=ccrs.PlateCarree())

# Write two labels
plt.text(ny_lon-3, ny_lat-12, 'New York',
         horizontalalignment='right', transform=ccrs.Geodetic())
plt.text(delhi_lon+3, delhi_lat-12, 'Delhi',
         horizontalalignment='left', transform=ccrs.Geodetic());

"""
Explanation: Examples
This has been taken from the gallery
End of explanation
"""


