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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
331569116 MDU6SXNzdWUzMzE1NjkxMTY= 2226 duplicate coord names in DataArray constructor tv3141 14019925 closed 0     3 2018-06-12T12:37:57Z 2023-12-01T00:40:19Z 2023-12-01T00:40:19Z CONTRIBUTOR      

Code Sample

```python

import numpy as np import xarray as xr da = xr.DataArray(np.zeros((2,3)), coords=[('unknown', [1, 2]), ('unknown', [0, 90, 180])]) da <xarray.DataArray (unknown: 3)> array([[0., 0., 0.], [0., 0., 0.]]) Coordinates: * unknown (unknown) int64 0 90 180 da.dims ('unknown', 'unknown') da.coords Coordinates: * unknown (unknown) int64 0 90 180 da.sel(unknown=90) ValueError: conflicting sizes for dimension 'unknown': length 2 on <this-array> and length 3 on 'unknown'

```

Problem description

The DaraArray constructor creates an invalid DataArray given duplicate coordinate names.

Expected Output

The DaraArray constructor should raise an Exception given duplicate coordinates names.

Output of xr.show_versions()

INSTALLED VERSIONS ------------------ commit: None python: 3.6.5.final.0 python-bits: 64 OS: Linux OS-release: 3.16.0-5-amd64 machine: x86_64 processor: byteorder: little LC_ALL: None LANG: en_GB.UTF-8 LOCALE: en_GB.UTF-8 xarray: 0.10.4 pandas: 0.23.0 numpy: 1.14.3 scipy: 1.1.0 netCDF4: 1.3.1 h5netcdf: 0.5.1 h5py: 2.8.0 Nio: None zarr: None bottleneck: 1.2.1 cyordereddict: None dask: 0.17.5 distributed: 1.21.8 matplotlib: 2.2.2 cartopy: 0.16.0 seaborn: None setuptools: 39.1.0 pip: 10.0.1 conda: None pytest: 3.5.1 IPython: None sphinx: None 
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   completed xarray 13221727 issue
327876834 MDU6SXNzdWUzMjc4NzY4MzQ= 2201 Conversion to and from Iris fails tv3141 14019925 closed 0     1 2018-05-30T19:57:45Z 2018-07-19T05:56:24Z 2018-07-19T05:56:24Z CONTRIBUTOR      

Code Sample

```python import numpy as np import xarray as xr from iris.coords import DimCoord from iris.cube import Cube

def test_from_iris_no_var_name(): latitude = DimCoord(np.linspace(-90, 90, 4), standard_name='latitude') cube = Cube([0, 0, 0, 0], dim_coords_and_dims=[(latitude, 0)]) xr.DataArray.from_iris(cube)

ValueError: Coordinate latitude has no var_name attribute.

def test_to_iris_non_numeric_coord(): data = np.random.rand(3) locs = ['IA', 'IL', 'IN'] da = xr.DataArray(data, coords=[locs], dims=['space']) xr.DataArray.to_iris(da)

ValueError: The points array must be numeric.

def test_to_iris_non_monotonic_coord(): data = np.random.rand(3) locs = [0, 2, 1] da = xr.DataArray(data, coords=[locs], dims=['space']) xr.DataArray.to_iris(da)

ValueError: The points array must be strictly monotonic.

```

Problem description

Each of the tests above fails.

Expected Output

First test: Use standard_name or something else if var_name is not set. Second/third tests: Fallback to AuxCoord if DimCoord is too strict.

Output of xr.show_versions()

INSTALLED VERSIONS ------------------ commit: None python: 3.6.5.final.0 python-bits: 64 OS: Linux OS-release: 3.16.0-5-amd64 machine: x86_64 processor: byteorder: little LC_ALL: None LANG: en_GB.UTF-8 LOCALE: en_GB.UTF-8 xarray: 0.10.4 pandas: 0.23.0 numpy: 1.14.3 scipy: 1.1.0 netCDF4: 1.3.1 h5netcdf: 0.5.1 h5py: 2.8.0 Nio: None zarr: None bottleneck: 1.2.1 cyordereddict: None dask: 0.17.5 distributed: 1.21.8 matplotlib: 2.2.2 cartopy: 0.16.0 seaborn: None setuptools: 39.1.0 pip: 10.0.1 conda: None pytest: 3.5.1 IPython: None sphinx: None 
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   completed xarray 13221727 issue

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