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使用几何对象作为matplotlib路径和补丁

项目描述

使用 Shapely 或类似GeoJSON的几何对象作为matplotlib路径和补丁

http://farm4.static.flickr.com/3662/4555372019_9bbed1f956_o_d.png

需要:matplotlib、numpy,以及可选的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()

另请参阅:examples/patches.py。

Descartes与同名且显然已停止运营的项目无关,该项目的网址为http://descartes.sourceforge.net/

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源代码分布

descartes-1.1.0.tar.gz (3.5 kB 查看哈希值)

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构建分布

descartes-1.1.0-py3-none-any.whl (5.8 kB 查看散列值)

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descartes-1.1.0-py2-none-any.whl (5.8 kB 查看散列值)

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