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#!/usr/bin/env python | |
import matplotlib.pyplot as plt | |
import cartopy.crs | |
import cartopy.feature | |
import shapely | |
for bounds in [[-180,-60,180,60],[-180,-90,180,-60]]: | |
plt.figure() | |
shape = shapely.geometry.box(*bounds) | |
projection = cartopy.crs.Mollweide() | |
ax = plt.axes(projection=projection) | |
resolution = '50m' | |
ax.add_feature(cartopy.feature.NaturalEarthFeature('physical', 'land', resolution, | |
edgecolor='face', facecolor=cartopy.feature.COLORS['land']), zorder=1) | |
ax.add_feature(cartopy.feature.NaturalEarthFeature('physical', 'coastline', resolution, | |
edgecolor='black', facecolor='none'), zorder=2) | |
draw_labels = False | |
ax.gridlines(crs=cartopy.crs.PlateCarree(), draw_labels=draw_labels, | |
linewidth=0.5, color='gray', linestyle='--') | |
if not draw_labels: | |
plt.tight_layout() | |
# use colorbrewer qualitative 7 data class colors, "7-class Accent": http://colorbrewer2.org/ | |
colors = ['#7fc97f' ,'#beaed4', '#fdc086', '#ffff99','#386cb0','#f0027f','#bf5b17'] | |
markers = ['o', 's', 'v', '^', '>', '<', '*', 'p', 'D', 'h'] | |
feature_num = 0 | |
refProjection = cartopy.crs.PlateCarree() | |
color = colors[feature_num % len(colors)] | |
marker = markers[feature_num % len(markers)] | |
props = {'linewidth':2.0, 'edgecolor':color} | |
props['alpha'] = 0.4 | |
props['facecolor'] = color | |
ax.add_geometries((shape,), crs=refProjection, **props) | |
ax.set_global() | |
plt.show() | |
# vim: foldmethod=marker ai ts=4 sts=4 et sw=4 ft=python |
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