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# Copyright Cartopy Contributors
#
# This file is part of Cartopy and is released under the LGPL license.
# See COPYING and COPYING.LESSER in the root of the repository for full
# licensing details.
import os
import inspect
import textwrap
import numpy as np
import cartopy.crs as ccrs
#: A dictionary to allow examples to use non-default parameters to the CRS
#: constructor.
SPECIFIC_PROJECTION_KWARGS = {
ccrs.RotatedPole: {'pole_longitude': 177.5, 'pole_latitude': 37.5},
ccrs.AzimuthalEquidistant: {'central_latitude': 90},
ccrs.NearsidePerspective: {
'central_longitude': -3.53, 'central_latitude': 50.72,
'satellite_height': 10.0e6},
ccrs.OSGB: {'approx': False},
ccrs.OSNI: {'approx': False},
ccrs.TransverseMercator: {'approx': False},
}
def plate_carree_plot():
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
nplots = 2
fig = plt.figure(figsize=(6, 6))
for i in range(0, nplots):
central_longitude = 0 if i == 0 else 180
ax = fig.add_subplot(
nplots, 1, i+1,
projection=ccrs.PlateCarree(central_longitude=central_longitude))
ax.coastlines(resolution='110m')
ax.gridlines()
def igh_plot():
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
fig = plt.figure(figsize=(6.9228, 6))
ax1 = fig.add_subplot(2, 1, 1,
projection=ccrs.InterruptedGoodeHomolosine(
emphasis='land'))
ax1.coastlines(resolution='110m')
ax1.gridlines()
ax2 = fig.add_subplot(2, 1, 2,
projection=ccrs.InterruptedGoodeHomolosine(
central_longitude=-160, emphasis='ocean'))
ax2.coastlines(resolution='110m')
ax2.gridlines()
def utm_plot():
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
nplots = 60
fig = plt.figure(figsize=(10, 3))
for i in range(0, nplots):
ax = fig.add_subplot(1, nplots, i+1,
projection=ccrs.UTM(zone=i+1,
southern_hemisphere=True))
ax.coastlines(resolution='110m')
ax.gridlines()
MULTI_PLOT_CASES = {
ccrs.PlateCarree: plate_carree_plot,
ccrs.InterruptedGoodeHomolosine: igh_plot,
ccrs.UTM: utm_plot,
}
COASTLINE_RESOLUTION = {ccrs.OSNI: '10m',
ccrs.OSGB: '50m',
ccrs.EuroPP: '50m'}
PRJ_SORT_ORDER = {'PlateCarree': 1,
'Mercator': 2, 'Mollweide': 2, 'Robinson': 2,
'TransverseMercator': 2, 'LambertCylindrical': 2,
'LambertConformal': 2, 'EquidistantConic': 2,
'Stereographic': 2, 'Miller': 2,
'Orthographic': 2, 'UTM': 2, 'AlbersEqualArea': 2,
'AzimuthalEquidistant': 2, 'Sinusoidal': 2,
'InterruptedGoodeHomolosine': 3, 'RotatedPole': 3,
'OSGB': 4, 'EuroPP': 5,
'Geostationary': 6, 'NearsidePerspective': 7,
'EckertI': 8.1, 'EckertII': 8.2, 'EckertIII': 8.3,
'EckertIV': 8.4, 'EckertV': 8.5, 'EckertVI': 8.6}
def find_projections():
for obj_name, o in vars(ccrs).copy().items():
if isinstance(o, type) and issubclass(o, ccrs.Projection) and \
not obj_name.startswith('_') and obj_name not in ['Projection']:
yield o
def create_instance(prj_cls, instance_args):
name = prj_cls.__name__
# Format instance arguments into strings
instance_params = ',\n '.join(
f'{k}={v}'
for k, v in sorted(instance_args.items()))
if instance_params:
instance_params = '\n ' \
+ instance_params
instance_creation_code = f'{name}({instance_params})'
prj_inst = prj(**instance_args)
return prj_inst, instance_creation_code
if __name__ == '__main__':
fname = os.path.join(os.path.dirname(__file__), 'source',
'reference', 'projections.rst')
table = open(fname, 'w')
header = """
.. (comment): DO NOT EDIT this file.
.. It is auto-generated by running : cartopy/docs/make_projection.py
.. Please adjust by making changes there.
.. It is included in the repository only to aid detection of changes.
.. _cartopy_projections:
Cartopy projection list
=======================
"""
table.write(textwrap.dedent(header))
def prj_class_sorter(cls):
return (PRJ_SORT_ORDER.get(cls.__name__, 100),
cls.__name__)
for prj in sorted(find_projections(), key=prj_class_sorter):
name = prj.__name__
table.write(name + '\n')
table.write('-' * len(name) + '\n\n')
table.write('.. autoclass:: cartopy.crs.%s\n' % name)
if prj not in MULTI_PLOT_CASES:
# Get instance arguments and number of plots
instance_args = SPECIFIC_PROJECTION_KWARGS.get(prj, {})
prj_inst, instance_repr = create_instance(prj, instance_args)
aspect = (np.diff(prj_inst.x_limits) /
np.diff(prj_inst.y_limits))[0]
width = 3 * aspect
width = f'{width:.4f}'.rstrip('0').rstrip('.')
# Generate plotting code
code = textwrap.dedent("""
.. plot::
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
plt.figure(figsize=({width}, 3))
ax = plt.axes(projection=ccrs.{proj_constructor})
ax.coastlines(resolution={coastline_resolution!r})
ax.gridlines()
""").format(width=width,
proj_constructor=instance_repr,
coastline_resolution=COASTLINE_RESOLUTION.get(prj,
'110m'))
else:
func = MULTI_PLOT_CASES[prj]
lines = inspect.getsourcelines(func)
func_code = "".join(lines[0][1:])
code = textwrap.dedent("""
.. plot::
{func_code}
""").format(func_code=func_code)
table.write(code)
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