如何绘制形状点列表

Question

我根据点数据集创建了一个 Shapely Point 对象列表。我如何绘制下面的点列表？

points = [Point(-4.85624511894443, 37.1837967179202), 
          Point(-4.855703975302475, 37.18401757756585),
          Point(-4.85516283166052, 37.1842384372115),
          Point(-4.85343407576431, 37.182006629169),
          Point(-4.85347524651836, 37.1804461589773),
          Point(-4.855792124429867, 37.18108913443582),
          Point(-4.85624511894443, 37.1837967179202)]

Answer 1

通过访问Matplotlib的Point and then use, for example, plt.scatter or plt.plot函数的x和y属性，可以得到x和y坐标的两个列表，如下所示：

import matplotlib.pyplot as plt
from shapely.geometry import Point

points = [Point(-4.85624511894443, 37.1837967179202), 
          Point(-4.855703975302475, 37.18401757756585),
          Point(-4.85516283166052, 37.1842384372115),
          Point(-4.85343407576431, 37.182006629169),
          Point(-4.85347524651836, 37.1804461589773),
          Point(-4.855792124429867, 37.18108913443582),
          Point(-4.85624511894443, 37.1837967179202)]
xs = [point.x for point in points]
ys = [point.y for point in points]
plt.scatter(xs, ys)
# or plt.plot(xs, ys) if you want to connect points by lines

如果您使用的是 Jupyter Notebook 或 Jupyter Lab，您可以将点列表包装在 MultiPoint 对象中以获得 SVG 图像。当您想在不导入 Matpotlib 的情况下快速绘制某些内容时，这对于调试目的很有用。

>>> MultiPoint(points)

给出：

如何绘制形状点列表

How to plot a list of Shapely points

python

list

matplotlib

point

shapely