shapely

来源： https://stackoverflow.com/questions/22840112/how-to-simplify-boundary-geometries-in-shapely

来源： https://stackoverflow.com/questions/39995839/gis-calculate-distance-between-point-and-polygon-border

来源： https://stackoverflow.com/questions/39995839/gis-calculate-distance-between-point-and-polygon-border

来源： https://stackoverflow.com/questions/35651620/how-can-i-slice-x-and-y-coordinates-from-a-shapely-polygon-typeerror-polygon

来源： https://stackoverflow.com/questions/35651620/how-can-i-slice-x-and-y-coordinates-from-a-shapely-polygon-typeerror-polygon

来源： https://stackoverflow.com/questions/35651620/how-can-i-slice-x-and-y-coordinates-from-a-shapely-polygon-typeerror-polygon

来源： https://stackoverflow.com/questions/48770822/how-to-make-holes-in-a-polygon-in-shapely-python-having-polygons

来源： https://stackoverflow.com/questions/48770822/how-to-make-holes-in-a-polygon-in-shapely-python-having-polygons

问题 I'm trying to create a numpy meshgrid and convert it to Shapely polygons. I can likely solve this with a very brute force method but it feels like there has to be a good trick to accomplish this but I haven't come up with it, yet. This gets me the grid of points (assumed running in Jupyter) - import numpy as np from matplotlib import pyplot fig = pyplot.figure(figsize=(10, 10)) ax = fig.add_subplot(111, aspect='equal') x,y = np.mgrid[-5:-1:8j, 1:5:8j] ax.plot(x,y, 'o', color='#000000') pyplot

问题 I'm trying to create a numpy meshgrid and convert it to Shapely polygons. I can likely solve this with a very brute force method but it feels like there has to be a good trick to accomplish this but I haven't come up with it, yet. This gets me the grid of points (assumed running in Jupyter) - import numpy as np from matplotlib import pyplot fig = pyplot.figure(figsize=(10, 10)) ax = fig.add_subplot(111, aspect='equal') x,y = np.mgrid[-5:-1:8j, 1:5:8j] ax.plot(x,y, 'o', color='#000000') pyplot