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When I use the PlateCarree projection in Cartopy to plot, the plot seems strange at some specific central longitudes.
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')
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.
Ubuntu 18.04
0.20.0
# 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
The text was updated successfully, but these errors were encountered:
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?
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Description
When I use the PlateCarree projection in Cartopy to plot, the plot seems strange at some specific central longitudes.
Code to reproduce
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
pip list
The text was updated successfully, but these errors were encountered: