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  • klindsay28 · 2 ✖

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  • Keep the original ordering of the coordinates · 2 ✖

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691146816 https://github.com/pydata/xarray/pull/4409#issuecomment-691146816 https://api.github.com/repos/pydata/xarray/issues/4409 MDEyOklzc3VlQ29tbWVudDY5MTE0NjgxNg== klindsay28 15570875 2020-09-11T15:00:01Z 2020-09-11T15:00:01Z NONE

I disagree that this is deterministic. If I run the script multiple times, the plot title varies, and I consider the plot title part of the output.

I have jupyter notebooks that create figures and use this code idiom. If I refactor code of mine that is used by these notebooks, I would like to rerun the notebooks to confirm that the notebook results don't change. Having the plot titles change at random complicates this comparison.

I think sorting the coordinates would avoid this difficulty that I encounter.

 
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   Keep the original ordering of the coordinates 694448177
691120654 https://github.com/pydata/xarray/pull/4409#issuecomment-691120654 https://api.github.com/repos/pydata/xarray/issues/4409 MDEyOklzc3VlQ29tbWVudDY5MTEyMDY1NA== klindsay28 15570875 2020-09-11T14:15:42Z 2020-09-11T14:15:42Z NONE

Here's another example that yields non-deterministic coordinate order, which propagates into a plot title when selection is done on the coordinates. When I run the code below, the title is sometimes x = 0.0, y = 0.0 and sometimes y = 0.0, x = 0.0.

This is in a new conda environment that I created using the command conda create -n title_order python=3.7 matplotlib xarray. Output from xr.show_versions() is below.

I think the non-determinism is coming from the command ds_subset = ds[['var']].

``` import numpy as np import xarray as xr

xlen = 3 ylen = 4 zlen = 5

x = xr.DataArray(np.linspace(0.0, 1.0, xlen), dims=('x')) y = xr.DataArray(np.linspace(0.0, 1.0, ylen), dims=('y')) z = xr.DataArray(np.linspace(0.0, 1.0, zlen), dims=('z'))

vals = np.arange(xlenylenzlen, dtype='float64').reshape((xlen, ylen, zlen)) da = xr.DataArray(vals, dims=('x', 'y', 'z'), coords={'x': x, 'y': y, 'z': z})

ds = xr.Dataset({'var': da}) print('coords for var in original Dataset') print(ds['var'].coords)

print('****')

ds_subset = ds[['var']] print('coords for var after subsetting') print(ds_subset['var'].coords)

print('****')

p = ds_subset['var'].isel(x=0,y=0).plot() print('title for plot() with dim selection') print(p[0].axes.get_title()) ```

Output of <tt>xr.show_versions()</tt> INSTALLED VERSIONS ------------------ commit: None python: 3.7.8 | packaged by conda-forge | (default, Jul 31 2020, 02:25:08) [GCC 7.5.0] python-bits: 64 OS: Linux OS-release: 3.10.0-1127.13.1.el7.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: en_US.UTF-8 LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: None libnetcdf: None xarray: 0.16.0 pandas: 1.1.2 numpy: 1.19.1 scipy: None netCDF4: None pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: None nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: None distributed: None matplotlib: 3.3.1 cartopy: None seaborn: None numbagg: None pint: None setuptools: 49.6.0.post20200814 pip: 20.2.3 conda: None pytest: None IPython: None sphinx: None 
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   Keep the original ordering of the coordinates 694448177

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