issue_comments: 1490313819

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https://github.com/pydata/xarray/issues/6431#issuecomment-1490313819 https://api.github.com/repos/pydata/xarray/issues/6431 1490313819 IC_kwDOAMm_X85Y1GJb 61923007 2023-03-30T13:33:09Z 2023-03-30T13:33:09Z NONE

@TomNicholas, I believe the pad() method does not consider any coordinates and only pads the data along the dimensions it contains. That's why the padding leads to a new data array that has the same dimension name as the original one but no coordinates.

We can set the coordinates explicitly using the coords attribute of the DataArray after padding. Check this example: ``` import numpy as np import xarray as xr

da = xr.DataArray(np.arange(9), dim='x') padded_da = da.pad({'x': (0, 1)}, 'constant') padded_da.coords['x'] = np.arange(padded_da.shape[0]) print(padded_da)

<xarray.DataArray (x: 3)> array([ 0., 1., nan]) Coordinates: * x (x) int64 0 1 2 ```

Hopefully this helps!

 
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