Closed oliviermarti closed 11 months ago
I've made some tests by degrading/upgrading some python modules : the problem clearly appears between cartopy
0.21.1 and 0.22. Recent versions of geos
and shapely
packages are OK.
I think we may be getting an invalid line somewhere in this new fast-path check. I suppose the easy thing is to ignore these geometries. But, I can't come up with a simple test case that fails, something like this. Do you have a simpler reproducer?
x = np.array([0, 1, 2, np.nan, 4, 5, 6])
y = np.array([0, 1, 2, np.nan, 4, 5, 6])
ax.plot(x, y, transform=cartopy.crs.PlateCarree())
Here is what I think would solve the issue:
diff --git a/lib/cartopy/trace.pyx b/lib/cartopy/trace.pyx
index d4550b47..a47000dc 100644
--- a/lib/cartopy/trace.pyx
+++ b/lib/cartopy/trace.pyx
@@ -582,6 +582,9 @@ def project_linear(geometry not None, src_crs not None,
cdef bool geom_fully_inside = False
if isinstance(dest_projection, (ccrs._RectangularProjection, ccrs._WarpedRectangularProjection)):
dest_line = sgeom.LineString([(x[0], x[1]) for x in dest_coords])
+ if dest_line.is_valid:
+ # We can only check for covers with valid geometries
+ geom_fully_inside = gp_domain.covers(dest_line)
geom_fully_inside = gp_domain.covers(dest_line)
lines = LineAccumulator()
The simplest I can write :
import numpy as np
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
x = np.array ( [10, 20, 30, np.nan, 50, 60, 70] )
y = np.array ( [10, 20, 30, np.nan, 50, 60, 70] )
fix, ax = plt.subplots ( 1, 1, subplot_kw={'projection':ccrs.Robinson()} )
ax.plot (x, y, transform=ccrs.PlateCarree () )`
Note that only a few projections encounter the problem : Robinson, Mollweide. It seems to be limited to some projections with a global covers. Orthographic, and more generally projections that shows only out part of the globe are OK.
Thanks! The linked PR does have a minimal reproducer similar to yours now. https://github.com/SciTools/cartopy/pull/2262
Description
Plotting custom coastline fails in some projections since Matplolib 3.8
The coastline is a series of longitude/latitude values. A few values are set to
np.na
n to interrupt the line between continental masses.The code will produce a first figure, which is close to what we want. But with an obvious problem.
The second figure fails in the present environment, but was perfectly fine with older version of Matplotlib (and other packages, but I haven't a log of that)
Thanks,
Olivier
Code to reproduce
Traceback
Full environment definition
### Operating system Mac OS X 13.5.2 ### Cartopy versions (and others) Version python : 3.10.12 | packaged by conda-forge | (main, Jun 23 2023, 22:39:40) [Clang 15.0.7 ] Version numpy : 1.23.5 Version xarray : 2023.9.0 Version Matplotlib : 3.8.0 Version Cartopy : 0.22.0 ### conda list ``` # packages in environment at /Users/marti/mambaforge/envs/FULL: # # Name Version Build Channel _py-xgboost-mutex 2.0 cpu_0 conda-forge _r-mutex 1.0.1 anacondar_1 conda-forge affine 2.4.0 pyhd8ed1ab_0 conda-forge antlr-python-runtime 4.7.2 py310h2ec42d9_1003 conda-forge anyio 4.0.0 pyhd8ed1ab_0 conda-forge aom 3.6.1 he965462_0 conda-forge appdirs 1.4.4 pyh9f0ad1d_0 conda-forge appnope 0.1.3 pyhd8ed1ab_0 conda-forge argon2-cffi 23.1.0 pyhd8ed1ab_0 conda-forge argon2-cffi-bindings 21.2.0 py310h6729b98_4 conda-forge arrow 1.3.0 pyhd8ed1ab_0 conda-forge asttokens 2.4.0 pyhd8ed1ab_0 conda-forge async-lru 2.0.4 pyhd8ed1ab_0 conda-forge atk-1.0 2.38.0 h1d18e73_1 conda-forge attrs 23.1.0 pyh71513ae_1 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0.9.11 h0dc2134_0 conda-forge xorg-libxt 1.3.0 h0dc2134_1 conda-forge xorg-renderproto 0.11.1 h0d85af4_1002 conda-forge xorg-xextproto 7.3.0 hb7f2c08_1003 conda-forge xorg-xproto 7.0.31 h35c211d_1007 conda-forge xxhash 0.8.2 h4140336_0 conda-forge xyzservices 2023.7.0 pyhd8ed1ab_0 conda-forge xz 5.2.6 h775f41a_0 conda-forge yamale 4.0.4 pyh6c4a22f_0 conda-forge yaml 0.2.5 h0d85af4_2 conda-forge zeromq 4.3.4 he49afe7_1 conda-forge zfp 1.0.0 hf3d7188_4 conda-forge zict 3.0.0 pyhd8ed1ab_0 conda-forge zipp 3.17.0 pyhd8ed1ab_0 conda-forge zlib 1.2.13 h8a1eda9_5 conda-forge zlib-ng 2.0.7 hb7f2c08_0 conda-forge zstd 1.5.5 h829000d_0 conda-forge ``` ### pip list