issues: 1461935127

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
1461935127 I_kwDOAMm_X85XI1wX 7314 Scatter plot infers weird default values 81219 closed 0     2 2022-11-23T15:10:41Z 2023-02-11T20:55:17Z 2023-02-11T20:55:17Z CONTRIBUTOR      

What happened?

The xarray.plot.scatter method has changed its behavior in 2022.10.0. Code that used to work now doesn't.

The issue seems to be related to default values for the size and hue of markers. Instead of using s and c arguments, xarray tries to infer DataArrays to use, but picks non-sensical values.

What did you expect to happen?

A scatter plot with default size and color for markers. Now xarray has inferred that the size is somehow related to the j dimension, and the hue to bnds.

Note that the calculations required to draw the figure with those defaults take a huge amount of time. In the example below, I've subsetted the file so the code runs in a short time. Without subsetting, it runs forever.

Minimal Complete Verifiable Example

Python import xarray as xr from matplotlib import pyplot as plt url = "https://pavics.ouranos.ca/twitcher/ows/proxy/thredds/dodsC/birdhouse/testdata/xclim/cmip6/sic_SImon_CCCma-CanESM5_ssp245_r13i1p2f1_2020.nc" ds = xr.open_dataset(url) t = ds.isel(i=slice(0,10), j=slice(0,11)) t.plot.scatter(x="longitude", y="latitude", s=1) plt.show()

MVCE confirmation

  • [X] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
  • [X] Complete example — the example is self-contained, including all data and the text of any traceback.
  • [X] Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
  • [X] New issue — a search of GitHub Issues suggests this is not a duplicate.

Relevant log output

No response

Anything else we need to know?

Environment

INSTALLED VERSIONS ------------------ commit: None python: 3.10.4 | packaged by conda-forge | (main, Mar 24 2022, 17:39:04) [GCC 10.3.0] python-bits: 64 OS: Linux OS-release: 5.4.0-131-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_CA.UTF-8 LOCALE: ('en_CA', 'UTF-8') libhdf5: 1.10.4 libnetcdf: 4.7.3 xarray: 2022.10.0 pandas: 1.4.3 numpy: 1.21.4 scipy: None netCDF4: 1.5.7 pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: 1.5.1.1 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: 1.3.5 dask: 2022.7.0 distributed: None matplotlib: 3.6.2 cartopy: None seaborn: None numbagg: None fsspec: 2022.5.0 cupy: None pint: 0.20.1 sparse: None flox: None numpy_groupies: None setuptools: 62.6.0 pip: 22.0.4 conda: None pytest: 7.1.2 
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   completed 13221727 issue

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