Open ZhaJiMan opened 1 year ago
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)
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
But the boundary would not show in
[60, 130, 0, 60]
range.Full environment definition
### Operating system Windows 11 ### Cartopy version 0.21.0 ### conda list ``` # Name Version Build Channel _ipython_minor_entry_point 8.7.0 h8cf3c4a_0 conda-forge _py-xgboost-mutex 2.0 cpu_0 conda-forge ansicon 1.89.0 py39hcbf5309_6 conda-forge anyio 3.5.0 py39haa95532_0 defaults appdirs 1.4.4 pyh9f0ad1d_0 conda-forge argon2-cffi 21.3.0 pyhd3eb1b0_0 defaults argon2-cffi-bindings 21.2.0 py39h2bbff1b_0 defaults asttokens 2.2.1 pyhd8ed1ab_0 conda-forge attrs 22.1.0 pyh71513ae_1 conda-forge backcall 0.2.0 pyh9f0ad1d_0 conda-forge backports 1.0 pyhd8ed1ab_3 conda-forge backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge bcrypt 3.2.2 py39ha55989b_1 conda-forge beautifulsoup4 4.11.1 py39haa95532_0 defaults blas 1.0 mkl defaults bleach 4.1.0 pyhd3eb1b0_0 defaults blessed 1.19.1 pyh95a074a_2 conda-forge blosc 1.21.1 h74325e0_3 conda-forge bokeh 2.4.3 pyhd8ed1ab_3 conda-forge boost-cpp 1.78.0 h9f4b32c_1 conda-forge bottleneck 1.3.5 py39hc266a54_1 conda-forge branca 0.6.0 pyhd8ed1ab_0 conda-forge brotli 1.0.9 hcfcfb64_8 conda-forge brotli-bin 1.0.9 hcfcfb64_8 conda-forge brotlipy 0.7.0 py39h2bbff1b_1003 https://repo.anaconda.com/pkgs/main bzip2 1.0.8 h8ffe710_4 conda-forge ca-certificates 2022.12.7 h5b45459_0 conda-forge cached-property 1.5.2 hd8ed1ab_1 conda-forge cached_property 1.5.2 pyha770c72_1 conda-forge cairo 1.16.0 hd694305_1014 conda-forge cartopy 0.21.0 py39h25ee47b_3 conda-forge certifi 2022.12.7 pyhd8ed1ab_0 conda-forge cffi 1.15.0 py39h2bbff1b_1 https://repo.anaconda.com/pkgs/main cfgrib 0.9.10.3 pyhd8ed1ab_0 conda-forge cfitsio 4.2.0 h9ebe7e4_0 conda-forge cftime 1.6.2 py39hc266a54_1 conda-forge charset-normalizer 2.0.4 pyhd3eb1b0_0 https://repo.anaconda.com/pkgs/main click 8.1.3 win_pyhd8ed1ab_2 conda-forge click-plugins 1.1.1 py_0 conda-forge cligj 0.7.2 pyhd8ed1ab_1 conda-forge cloudpickle 2.2.0 pyhd8ed1ab_0 conda-forge cmarkgfm 0.8.0 py39ha55989b_2 conda-forge colorama 0.4.4 pyhd3eb1b0_0 https://repo.anaconda.com/pkgs/main commonmark 0.9.1 py_0 conda-forge conda 4.12.0 py39haa95532_0 https://repo.anaconda.com/pkgs/main conda-content-trust 0.1.1 pyhd3eb1b0_0 https://repo.anaconda.com/pkgs/main conda-package-handling 1.8.1 py39h8cc25b3_0 https://repo.anaconda.com/pkgs/main console_shortcut 0.1.1 4 https://repo.anaconda.com/pkgs/main contourpy 1.0.6 py39h1f6ef14_0 conda-forge cryptography 36.0.0 py39h21b164f_0 https://repo.anaconda.com/pkgs/main cuda 11.6.2 0 nvidia cuda-cccl 11.6.55 0 nvidia cuda-command-line-tools 11.6.2 0 nvidia cuda-compiler 11.6.2 0 nvidia cuda-cudart 11.6.55 0 nvidia cuda-cudart-dev 11.6.55 0 nvidia cuda-cuobjdump 11.6.124 0 nvidia cuda-cupti 11.6.124 0 nvidia cuda-cuxxfilt 11.6.124 0 nvidia cuda-libraries 11.6.2 0 nvidia cuda-libraries-dev 11.6.2 0 nvidia cuda-memcheck 11.8.86 0 nvidia cuda-nsight-compute 11.8.0 0 nvidia cuda-nvcc 11.6.124 0 nvidia cuda-nvdisasm 11.8.86 0 nvidia cuda-nvml-dev 11.6.55 0 nvidia cuda-nvprof 11.8.87 0 nvidia cuda-nvprune 11.6.124 0 nvidia cuda-nvrtc 11.6.124 0 nvidia 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h867d48c_0 pytorch pytorch-mutex 1.0 cuda pytorch pytz 2022.1 py39haa95532_0 defaults pywavelets 1.3.0 py39hc266a54_2 conda-forge pywin32 302 py39h2bbff1b_2 https://repo.anaconda.com/pkgs/main pywin32-ctypes 0.2.0 py39hcbf5309_1006 conda-forge pywinpty 2.0.2 py39h5da7b33_0 defaults pyyaml 6.0 py39ha55989b_5 conda-forge pyzmq 23.2.0 py39hd77b12b_0 defaults readme_renderer 37.3 pyhd8ed1ab_0 conda-forge requests 2.27.1 pyhd3eb1b0_0 https://repo.anaconda.com/pkgs/main requests-toolbelt 0.10.1 pyhd8ed1ab_0 conda-forge rfc3986 2.0.0 pyhd8ed1ab_0 conda-forge rich 12.6.0 pyhd8ed1ab_0 conda-forge rtree 1.0.1 py39h09fdee3_1 conda-forge ruamel_yaml 0.15.100 py39h2bbff1b_0 https://repo.anaconda.com/pkgs/main scikit-learn 1.1.3 py39hd77b12b_0 defaults scipy 1.9.3 py39he11b74f_0 defaults seaborn 0.12.1 hd8ed1ab_0 conda-forge seaborn-base 0.12.1 pyhd8ed1ab_0 conda-forge send2trash 1.8.0 pyhd3eb1b0_1 defaults setuptools 61.2.0 py39haa95532_0 https://repo.anaconda.com/pkgs/main sgp4 2.21 py39hbd792c9_2 conda-forge shapely 1.8.5 py39h7c5f289_2 conda-forge six 1.16.0 pyhd3eb1b0_1 https://repo.anaconda.com/pkgs/main skyfield 1.45 pyh1a96a4e_0 conda-forge snakeviz 2.1.1 pyhd8ed1ab_0 conda-forge snappy 1.1.9 hfb803bf_2 conda-forge sniffio 1.2.0 py39haa95532_1 defaults sortedcontainers 2.4.0 pyhd8ed1ab_0 conda-forge soupsieve 2.3.2.post1 py39haa95532_0 defaults sqlite 3.40.0 hcfcfb64_0 conda-forge stack_data 0.6.2 pyhd8ed1ab_0 conda-forge statsmodels 0.13.5 py39hc266a54_2 conda-forge tblib 1.7.0 pyhd8ed1ab_0 conda-forge terminado 0.13.1 py39haa95532_0 defaults testpath 0.6.0 py39haa95532_0 defaults threadpoolctl 3.1.0 pyh8a188c0_0 conda-forge tiledb 2.11.3 h5689973_1 conda-forge tk 8.6.12 h8ffe710_0 conda-forge toolz 0.12.0 pyhd8ed1ab_0 conda-forge torchaudio 0.13.0 pypi_0 pypi torchdata 0.5.0 py39 pytorch torchtext 0.14.0 py39 pytorch torchvision 0.14.0 pypi_0 pypi tornado 6.2 py39h2bbff1b_0 defaults tqdm 4.63.0 pyhd3eb1b0_0 https://repo.anaconda.com/pkgs/main traitlets 5.6.0 pyhd8ed1ab_0 conda-forge twine 4.0.2 pyhd8ed1ab_0 conda-forge typing-extensions 4.4.0 py39haa95532_0 defaults typing_extensions 4.4.0 py39haa95532_0 defaults tzdata 2022a hda174b7_0 https://repo.anaconda.com/pkgs/main ucrt 10.0.22621.0 h57928b3_0 conda-forge unicodedata2 15.0.0 py39ha55989b_0 conda-forge urllib3 1.26.8 pyhd3eb1b0_0 https://repo.anaconda.com/pkgs/main vc 14.2 h21ff451_1 https://repo.anaconda.com/pkgs/main vs2015_runtime 14.32.31332 h1d6e394_9 conda-forge wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge webencodings 0.5.1 py39haa95532_1 defaults websocket-client 0.58.0 py39haa95532_4 defaults wheel 0.37.1 pyhd3eb1b0_0 https://repo.anaconda.com/pkgs/main widgetsnbextension 3.5.2 py39haa95532_0 defaults win_inet_pton 1.1.0 py39haa95532_0 https://repo.anaconda.com/pkgs/main wincertstore 0.2 py39haa95532_2 https://repo.anaconda.com/pkgs/main winpty 0.4.3 4 defaults wrapt 1.15.0 py39ha55989b_0 conda-forge wrf-python 1.3.4.1 py39heacfe52_3 conda-forge xarray 2022.12.0 pyhd8ed1ab_0 conda-forge xerces-c 3.2.4 h63175ca_1 conda-forge xgboost 1.7.1 cpu_py39ha538f94_0 conda-forge xlrd 2.0.1 pyhd8ed1ab_3 conda-forge xorg-libxau 1.0.9 hcd874cb_0 conda-forge 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 ```