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  • ivirshup · 2 ✖

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  • Pointwise indexing · 2 ✖

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586078165 https://github.com/pydata/xarray/issues/3768#issuecomment-586078165 https://api.github.com/repos/pydata/xarray/issues/3768 MDEyOklzc3VlQ29tbWVudDU4NjA3ODE2NQ== ivirshup 8238804 2020-02-14T03:15:47Z 2020-02-14T03:15:47Z NONE

Why do DataArrays have different behavior than other array-likes for these methods?

For sel and isel. What the reasoning for making these statements behave differently?

Setup ```python import xarray as xr import numpy as np da = xr.DataArray( np.arange(56).reshape((7, 8)), coords={ 'x': list('abcdefg'), 'y': 10 * np.arange(8) }, dims=['x', 'y'] ) ```

```python xidx = np.array([1, 2, 3]) yidx = np.array([1, 2, 3])

da.isel(x=xidx, y=yidx)

<xarray.DataArray (x: 3, y: 3)>

array([[ 9, 10, 11],

[17, 18, 19],

[25, 26, 27]])

Coordinates:

* x (x) <U1 'b' 'c' 'd'

* y (y) int64 10 20 30

da.isel(x=xr.DataArray(xidx), y=xr.DataArray(yidx))

<xarray.DataArray (dim_0: 3)>

array([ 9, 18, 27])

Coordinates:

x (dim_0) <U1 'b' 'c' 'd'

y (dim_0) int64 10 20 30

Dimensions without coordinates: dim_0

```

 
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   Pointwise indexing 564555854
586072916 https://github.com/pydata/xarray/issues/3768#issuecomment-586072916 https://api.github.com/repos/pydata/xarray/issues/3768 MDEyOklzc3VlQ29tbWVudDU4NjA3MjkxNg== ivirshup 8238804 2020-02-14T02:52:34Z 2020-02-14T02:52:34Z NONE

The documentation for what you want is here: https://xarray.pydata.org/en/stable/indexing.html#more-advanced-indexing. Basically you need to provide DataArrays with a new dimension instead of lists.

Thanks! I must have missed this, I suspect since my use was actually setting the values at some coordinates. Is there an efficient way to do that?

I'd be happy to add some notes to the documentation about that. The .sel and isel methods could definitely use longer doc strings. It would be useful to have a better understanding of the concept this implements though. Why do DataArrays have different behavior than other array-likes for these methods?

 
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   Pointwise indexing 564555854

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