Closed zxdawn closed 5 months ago
Hi, I'm trying to plot a circle shape background using contextily. I see it is easy to clip the pcolormesh result like below.
pcolormesh
I'm curious if there's any similar method of clip_path for contextily?
clip_path
import matplotlib.pyplot as plt import cartopy.crs as ccrs import numpy as np import matplotlib import contextily as cx fig, ax = plt.subplots(figsize=(5, 5), subplot_kw={'projection':ccrs.PlateCarree()} ) dx, dy = 0.05, 0.05 # generate 2 2d grids for the x & y bounds y, x = np.mgrid[slice(1, 5 + dy, dy), slice(1, 5 + dx, dx)] z = np.sin(x)**10 + np.cos(10 + y*x) * np.cos(x) theta = np.linspace(0, 2*np.pi, 400) center, radius = [0.5, 0.5], 0.5 verts = np.vstack([np.sin(theta), np.cos(theta)]).T circle = matplotlib.path.Path(verts * radius + center) im = ax.pcolormesh(x, y, z, cmap='viridis', clip_path=(circle, ax.transAxes)) ax.gridlines(crs=ccrs.PlateCarree(), draw_labels=True, linewidth=2, color='gray', alpha=0.5, linestyle='--')
I figured out how to do that and posted it on stackoverflow.
Hi, I'm trying to plot a circle shape background using contextily. I see it is easy to clip the
pcolormesh
result like below.I'm curious if there's any similar method of
clip_path
for contextily?