cartopy
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SciTools
strange behaviour in PlateCarree when change central_longitude
Description
When I use the PlateCarree projection in Cartopy to plot, the plot seems strange at some specific central longitudes.
Code to reproduce
fname = 'alpha_BCC-CSM2-MR.nc'
ds = xr.open_dataset(fname)
proj = ccrs.PlateCarree(central_longitude=0)
fig, ax = plt.subplots(
1, 1, subplot_kw=dict(projection=proj), figsize=(10, 8)
)
pcm = ax.pcolormesh(ds.lon, ds.lat, ds.alpha.squeeze() * 1e4, vmin=-0.1, vmax=3.5, cmap=cm.get_cmap('seismic', lut=16), transform=ccrs.PlateCarree())
cbar = fig.colorbar(pcm, ax=ax, extend='both', shrink=0.5)
ax.coastlines()
ax.set_global()
ax.set_title(label='alpha')
Traceback
When central_longitude is set to 0 or -100, some blank areas remain in the plot. If central_longitude is set to other values, the plot is OK.
Full environment definition
Operating system
Ubuntu 18.04
Cartopy version
0.20.0
conda list
# packages in environment at /home/swang/Software/anaconda3/envs/nc_conda_env:
#
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 2_kmp_llvm conda-forge
backcall 0.2.0 pyhd3eb1b0_0 defaults
basemap 1.2.2 py37hbe109c4_4 conda-forge
blas 1.0 mkl defaults
bokeh 2.4.3 pyhd8ed1ab_3 conda-forge
bottleneck 1.3.5 py37h7deecbd_0 defaults
brotli 1.0.9 h5eee18b_7 defaults
brotli-bin 1.0.9 h5eee18b_7 defaults
brotli-python 1.0.9 py37hd23a5d3_7 conda-forge
bzip2 1.0.8 h7b6447c_0 defaults
c-ares 1.19.1 h5eee18b_0 defaults
ca-certificates 2024.2.2 hbcca054_0 conda-forge
cartopy 0.20.0 py37hbe109c4_0 conda-forge
certifi 2024.2.2 pyhd8ed1ab_0 conda-forge
cf_xarray 0.7.2 pyhd8ed1ab_0 conda-forge
cftime 1.5.1.1 py37hce1f21e_0 defaults
charset-normalizer 3.3.2 pyhd8ed1ab_0 conda-forge
click 8.0.4 py37h06a4308_0 defaults
cloudpickle 2.2.1 pyhd8ed1ab_0 conda-forge
cmaps 1.0.5 pyhd8ed1ab_0 conda-forge
cmocean 2.0 py_3 conda-forge
colorspacious 1.1.2 pyh24bf2e0_0 conda-forge
curl 8.4.0 hdbd6064_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
cycler 0.11.0 pyhd3eb1b0_0 defaults
cyrus-sasl 2.1.28 h52b45da_1 defaults
cytoolz 0.12.0 py37h540881e_0 conda-forge
dask 2.12.0 py_0 conda-forge
dask-core 2.12.0 py_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
dbus 1.13.18 hb2f20db_0 defaults
debugpy 1.5.1 py37h295c915_0 anaconda
decorator 5.1.1 pyhd3eb1b0_0 defaults
distributed 2.12.0 py37_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
entrypoints 0.4 py37h06a4308_0 defaults
esmf 8.2.0 nompi_h61edca3_0 conda-forge
esmpy 8.2.0 nompi_py37hff05f9c_1 conda-forge
expat 2.5.0 h6a678d5_0 defaults
fftw 3.3.9 h27cfd23_1 defaults
flit-core 3.6.0 pyhd3eb1b0_0 defaults
flox 0.4.1 pyhd8ed1ab_0 conda-forge
fontconfig 2.14.1 h4c34cd2_2 defaults
fonttools 4.25.0 pyhd3eb1b0_0 defaults
freetype 2.12.1 h4a9f257_0 defaults
fsspec 2023.1.0 pyhd8ed1ab_0 conda-forge
geos 3.9.1 h295c915_0 defaults
giflib 5.2.1 h5eee18b_3 defaults
glib 2.69.1 he621ea3_2 defaults
gst-plugins-base 1.14.1 h6a678d5_1 defaults
gstreamer 1.14.1 h5eee18b_1 defaults
gsw 3.4.0 py37hda87dfa_3 conda-forge
hdf4 4.2.15 h10796ff_3 conda-forge
hdf5 1.12.1 nompi_h4df4325_104 conda-forge
heapdict 1.0.1 py_0 conda-forge
icu 58.2 he6710b0_3 defaults
idna 3.4 pyhd8ed1ab_0 conda-forge
importlib-metadata 4.11.3 py37h06a4308_0 defaults
importlib_metadata 4.11.3 hd3eb1b0_0 defaults
intel-openmp 2021.4.0 h06a4308_3561 defaults
ipykernel 6.15.2 py37h06a4308_0 anaconda
ipython 7.31.1 py37h06a4308_1 anaconda
jedi 0.18.1 py37h06a4308_1 defaults
jinja2 3.1.2 pyhd8ed1ab_1 conda-forge
joblib 1.1.1 py37h06a4308_0 defaults
jpeg 9e h5eee18b_1 defaults
jupyter_client 7.4.9 py37h06a4308_0 defaults
jupyter_core 4.11.1 py37h06a4308_0 anaconda
kiwisolver 1.4.4 py37h6a678d5_0 defaults
krb5 1.20.1 h143b758_1 defaults
lcms2 2.12 h3be6417_0 defaults
ld_impl_linux-64 2.38 h1181459_1 defaults
lerc 3.0 h295c915_0 defaults
libbrotlicommon 1.0.9 h5eee18b_7 defaults
libbrotlidec 1.0.9 h5eee18b_7 defaults
libbrotlienc 1.0.9 h5eee18b_7 defaults
libclang 14.0.6 default_hc6dbbc7_1 defaults
libclang13 14.0.6 default_he11475f_1 defaults
libcups 2.4.2 h2d74bed_1 defaults
libcurl 8.4.0 h251f7ec_0 defaults
libdeflate 1.17 h5eee18b_1 defaults
libedit 3.1.20221030 h5eee18b_0 defaults
libev 4.33 h7f8727e_1 defaults
libevent 2.1.12 hdbd6064_1 defaults
libffi 3.4.4 h6a678d5_0 defaults
libgcc-ng 13.2.0 h807b86a_2 conda-forge
libgfortran-ng 11.2.0 h00389a5_1 defaults
libgfortran5 11.2.0 h1234567_1 defaults
libllvm11 11.1.0 hf817b99_3 conda-forge
libllvm14 14.0.6 hdb19cb5_3 defaults
libnetcdf 4.8.1 nompi_h329d8a1_102 conda-forge
libnghttp2 1.57.0 h2d74bed_0 defaults
libnsl 2.0.0 h5eee18b_0 defaults
libpng 1.6.39 h5eee18b_0 defaults
libpq 12.15 hdbd6064_1 defaults
libsodium 1.0.18 h7b6447c_0 defaults
libssh2 1.10.0 hdbd6064_2 defaults
libstdcxx-ng 11.2.0 h1234567_1 defaults
libtiff 4.5.1 h6a678d5_0 defaults
libuuid 1.41.5 h5eee18b_0 defaults
libwebp 1.2.4 h11a3e52_1 defaults
libwebp-base 1.2.4 h5eee18b_1 defaults
libxcb 1.15 h7f8727e_0 defaults
libxkbcommon 1.0.1 h5eee18b_1 defaults
libxml2 2.10.4 hcbfbd50_0 defaults
libxslt 1.1.37 h2085143_0 defaults
libzip 1.8.0 h6ac8c49_1 defaults
libzlib 1.2.13 hd590300_5 conda-forge
llvm-openmp 14.0.6 h9e868ea_0 defaults
llvmlite 0.38.1 py37h0761922_0 conda-forge
locket 1.0.0 pyhd8ed1ab_0 conda-forge
lz4-c 1.9.4 h6a678d5_0 defaults
markupsafe 2.1.1 py37h540881e_1 conda-forge
matplotlib 3.5.2 py37h06a4308_0 defaults
matplotlib-base 3.5.2 py37hf590b9c_0 defaults
matplotlib-inline 0.1.6 py37h06a4308_0 defaults
mkl 2021.4.0 h06a4308_640 defaults
mkl-service 2.4.0 py37h7f8727e_0 defaults
mkl_fft 1.3.1 py37hd3c417c_0 defaults
mkl_random 1.2.2 py37h51133e4_0 defaults
msgpack-python 1.0.3 py37h7cecad7_1 conda-forge
munkres 1.1.4 py_0 defaults
mysql 5.7.24 h721c034_2 defaults
nc-time-axis 1.4.1 pyhd8ed1ab_0 conda-forge
ncurses 6.4 h6a678d5_0 defaults
nest-asyncio 1.5.6 py37h06a4308_0 defaults
netcdf-fortran 4.5.4 nompi_h2b6e579_100 conda-forge
netcdf4 1.6.2 py37h89d13dc_0 defaults
nspr 4.35 h6a678d5_0 defaults
nss 3.89.1 h6a678d5_0 defaults
numba 0.55.1 py37h43839f2_1 conda-forge
numexpr 2.8.4 py37he184ba9_0 defaults
numpy 1.21.5 py37h6c91a56_3 defaults
numpy-base 1.21.5 py37ha15fc14_3 defaults
numpy_groupies 0.9.22 pyhd8ed1ab_0 conda-forge
openssl 3.2.1 hd590300_1 conda-forge
packaging 22.0 py37h06a4308_0 defaults
pandas 1.3.5 py37h8c16a72_0 defaults
parso 0.8.3 pyhd3eb1b0_0 defaults
partd 1.4.1 pyhd8ed1ab_0 conda-forge
pcre 8.45 h295c915_0 defaults
pexpect 4.8.0 pyhd3eb1b0_3 defaults
pickleshare 0.7.5 pyhd3eb1b0_1003 defaults
pillow 9.4.0 py37h6a678d5_0 defaults
pint 0.18 pyhd8ed1ab_0 conda-forge
pint-xarray 0.2.1 pyhd8ed1ab_0 conda-forge
pip 22.3.1 py37h06a4308_0 defaults
platformdirs 2.5.2 py37h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
ply 3.11 py37_0 defaults
pooch 1.8.0 pyhd8ed1ab_0 conda-forge
pop-tools 2020.9.14 py_0 conda-forge
proj 8.0.1 h1217e81_0 defaults
prompt-toolkit 3.0.36 py37h06a4308_0 defaults
psutil 5.9.0 py37h5eee18b_0 defaults
ptyprocess 0.7.0 pyhd3eb1b0_2 defaults
pygments 2.11.2 pyhd3eb1b0_0 defaults
pyparsing 3.0.9 py37h06a4308_0 defaults
pyproj 3.2.1 py37hcc46e62_6 conda-forge
pyqt 5.15.7 py37h6a678d5_1 defaults
pyqt5-sip 12.11.0 py37h6a678d5_1 defaults
pyshp 2.1.3 pyhd3eb1b0_0 defaults
pysocks 1.7.1 py37h89c1867_5 conda-forge
python 3.7.12 hf930737_100_cpython conda-forge
python-dateutil 2.8.2 pyhd3eb1b0_0 defaults
python_abi 3.7 4_cp37m conda-forge
pytz 2022.7 py37h06a4308_0 defaults
pyyaml 6.0 py37h540881e_4 conda-forge
pyzmq 23.2.0 py37h6a678d5_0 defaults
qt-main 5.15.2 h7358343_9 defaults
qt-webengine 5.15.9 h9ab4d14_7 defaults
qtwebkit 5.212 h3fafdc1_5 defaults
readline 8.2 h5eee18b_0 defaults
requests 2.31.0 pyhd8ed1ab_0 conda-forge
scipy 1.7.3 py37h6c91a56_2 defaults
seawater 3.3.4 py_1 conda-forge
setuptools 65.6.3 py37h06a4308_0 defaults
shapely 1.8.0 py37h48c49eb_0 conda-forge
sip 6.6.2 py37h6a678d5_0 defaults
six 1.16.0 pyhd3eb1b0_1 defaults
sortedcontainers 2.4.0 pyhd8ed1ab_0 conda-forge
sparse 0.13.0 pyhd8ed1ab_0 conda-forge
sqlite 3.41.2 h5eee18b_0 defaults
tblib 2.0.0 pyhd8ed1ab_0 conda-forge
tk 8.6.12 h1ccaba5_0 defaults
toml 0.10.2 pyhd3eb1b0_0 defaults
toolz 0.12.0 pyhd8ed1ab_0 conda-forge
tornado 6.2 py37h5eee18b_0 defaults
traitlets 5.7.1 py37h06a4308_0 defaults
typing-extensions 4.4.0 py37h06a4308_0 defaults
typing_extensions 4.4.0 py37h06a4308_0 defaults
urllib3 2.1.0 pyhd8ed1ab_0 conda-forge
wcwidth 0.2.5 pyhd3eb1b0_0 defaults
wheel 0.38.4 py37h06a4308_0 defaults
xarray 0.20.1 pyhd3eb1b0_1 defaults
xesmf 0.6.3 pyhd8ed1ab_1 conda-forge
xmip 0.7.2 pyhd8ed1ab_0 conda-forge
xz 5.4.2 h5eee18b_0 defaults
yaml 0.2.5 h7f98852_2 conda-forge
zeromq 4.3.4 h2531618_0 defaults
zict 2.2.0 pyhd8ed1ab_0 conda-forge
zipp 3.11.0 py37h06a4308_0 defaults
zlib 1.2.13 hd590300_5 conda-forge
zstd 1.5.5 hc292b87_0 defaults
pip list
Thanks for the report @szwang1990! Cartopy 0.20 is quite old now. Are you able to test with the latest version 0.23?
If the problem does persist in the latest version, we will need to reproduce it in order to investigate. So can you share your NetCDF file?
