cartopy
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Published
20 hours ago •
SciTools
SciTools
`GeoAxes.set_boundary` failed in smaller extent
Description
I want to use a circle bondary in a Plate Carrée map, and I found that in big extent (like set_global) it worked, but in smaller extent it failed. The same problem also occurred in a Lambert comformal map.
Code to reproduce
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.path import Path
import cartopy.crs as ccrs
from cartopy.feature import LAND, OCEAN
crs = ccrs.PlateCarree()
fig = plt.figure()
ax = fig.add_subplot(projection=crs)
ax.set_global()
ax.stock_img()
r = 0.5
t = np.linspace(0, 2 * np.pi, 100)
x = r * np.cos(t) + 0.5
y = r * np.sin(t) + 0.5
verts = np.column_stack([x, y])
path = Path(verts)
ax.set_boundary(path, ax.transAxes)
plt.show()
But the boundary would not show in [60, 130, 0, 60] range.
ax.set_extent([60, 130, 0, 60], crs=crs)
Full environment definition
Operating system
Windows 11
Cartopy version
0.21.0
conda list
# Name Version Build Channel
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xorg-libxdmcp 1.1.3 hcd874cb_0 conda-forge
xyzservices 2022.9.0 pyhd8ed1ab_0 conda-forge
xz 5.2.6 h8d14728_0 conda-forge
yaml 0.2.5 he774522_0 https://repo.anaconda.com/pkgs/main
zeromq 4.3.4 hd77b12b_0 defaults
zict 2.2.0 pyhd8ed1ab_0 conda-forge
zipp 3.11.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.13 hcfcfb64_4 conda-forge
zstd 1.5.2 h7755175_4 conda-forge
I suspect this is a bug. Using your example, setting the first term in set_extent to be between 0 and 1 (for instance, 0.6 in the image below), progressively adjusts the boundary; at 1 the whole panel is blank, then >1 the boundary is ignored. That makes me think somehow ax.transAxes in set_boundary is affecting the call to set_extent.
A work around is to use data coordinates instead:
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.path import Path
import cartopy.crs as ccrs
from cartopy.feature import LAND, OCEAN
crs = ccrs.PlateCarree()
fig = plt.figure()
ax = fig.add_subplot(projection=crs)
ax.stock_img()
theta = np.linspace(0, 2*np.pi, 100)
center, radius = [95, 30], 30
verts = np.vstack([np.sin(theta), np.cos(theta)]).T
circle = Path(verts * radius + center)
ax.set_extent([60, 130, 0, 60], crs=crs)
ax.set_boundary(circle, transform=ax.transData)
plt.show()
Another workaround is to set up the axes with a different central longitude:
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.path import Path
import cartopy.crs as ccrs
crs = ccrs.PlateCarree()
fig = plt.figure()
ax = fig.add_subplot(projection=ccrs.PlateCarree(central_longitude=90))
ax.set_extent([60, 130, 0, 60], crs=crs)
ax.stock_img()
r = 0.5
t = np.linspace(0, 2 * np.pi, 100)
x = r * np.cos(t) + 0.5
y = r * np.sin(t) + 0.5
verts = np.column_stack([x, y])
path = Path(verts)
ax.set_boundary(path, ax.transAxes)
plt.show()
Thanks for workarounds. I found that ax.set_boundary will set the _original_path attribute for ax.patch and ax.spines['geo']. And in their _adjust_location methods there are
class _ViewClippedPathPatch(mpatches.PathPatch):
def _adjust_location(self):
if self.stale:
self.set_path(self._original_path.clip_to_bbox(self.axes.viewLim))
# Some places in matplotlib's transform stack cache the actual
# path so we trigger an update by invalidating the transform.
self._trans_wrap.invalidate()
class GeoSpine(mspines.Spine):
def _adjust_location(self):
if self.stale:
self._path = self._original_path.clip_to_bbox(self.axes.viewLim)
self._path = mpath.Path(self._path.vertices, closed=True)
The problem arises from the self._original_path.clip_to_bbox(self.axes.viewLim), which will clip the _original_path using ax.viewLim. The coordinates of _original_path are between 0.0 and 1.0 due to ax.transAxes transform, but the coordinates of ax.viewLim correspond to the values of extent. In my case where extents = [60, 130, 0, 60], the 0 to 1 circle is out of the range, so ax.patch and ax.spines['geo'] will have empty _path attributes making the spines disappear. This also exlains the half plot in @lgolston example and why changing central_longitude works.
In addition to using transData, I tried removing the clip_to_bbox line and it worked:
class _ViewClippedPathPatch(mpatches.PathPatch):
def _adjust_location(self):
if self.stale:
# self.set_path(self._original_path.clip_to_bbox(self.axes.viewLim))
self._path = self._original_path
# Some places in matplotlib's transform stack cache the actual
# path so we trigger an update by invalidating the transform.
self._trans_wrap.invalidate()
class GeoSpine(mspines.Spine):
def _adjust_location(self):
if self.stale:
# self._path = self._original_path.clip_to_bbox(self.axes.viewLim)
self._path = self._original_path
self._path = mpath.Path(self._path.vertices, closed=True)