使用几何对象作为matplotlib路径和面片
descartes的Python项目详细描述
使用Shapely或类似geojson的几何对象作为matplotlib路径和补丁
需要：matplotlib、numpy和可选的shapely 1.2+。
示例：
from matplotlib import pyplot
from shapely.geometry import LineString
from descartes import PolygonPatch
BLUE = '#6699cc'
GRAY = '#999999'
def plot_line(ax, ob):
x, y = ob.xy
ax.plot(x, y, color=GRAY, linewidth=3, solid_capstyle='round', zorder=1)
line = LineString([(0, 0), (1, 1), (0, 2), (2, 2), (3, 1), (1, 0)])
fig = pyplot.figure(1, figsize=(10, 4), dpi=180)
# 1
ax = fig.add_subplot(121)
plot_line(ax, line)
dilated = line.buffer(0.5)
patch1 = PolygonPatch(dilated, fc=BLUE, ec=BLUE, alpha=0.5, zorder=2)
ax.add_patch(patch1)
#2
ax = fig.add_subplot(122)
patch2a = PolygonPatch(dilated, fc=GRAY, ec=GRAY, alpha=0.5, zorder=1)
ax.add_patch(patch2a)
eroded = dilated.buffer(-0.3)
# GeoJSON-like data works as well
polygon = eroded.__geo_interface__
# >>> geo['type']
# 'Polygon'
# >>> geo['coordinates'][0][:2]
# ((0.50502525316941682, 0.78786796564403572), (0.5247963548222736, 0.8096820147509064))
patch2b = PolygonPatch(polygon, fc=BLUE, ec=BLUE, alpha=0.5, zorder=2)
ax.add_patch(patch2b)
pyplot.show()
另请参见：examples/patches.py。
笛卡尔与同名的显然已不复存在的 项目位于http://descartes.sourceforge.net/。
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