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  • max-sixty · 5 ✖

issue 1

  • Clip function with minimum or maximum nan value · 5 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
825050144 https://github.com/pydata/xarray/issues/5205#issuecomment-825050144 https://api.github.com/repos/pydata/xarray/issues/5205 MDEyOklzc3VlQ29tbWVudDgyNTA1MDE0NA== max-sixty 5635139 2021-04-22T17:34:39Z 2021-04-22T17:34:39Z MEMBER

I got the sign wrong, corrected:

```

In [4]: lower_inf = lower.where(lower.notnull(), -np.inf)

In [5]: da.clip(lower_inf, upper) Out[5]: <xarray.DataArray (x: 3, y: 6)> array([[ 1., 1., 2., 3., 4., 4.], [ 6., 7., 8., 9., 10., 10.], [12., 13., 14., 14., 14., 14.]]) Coordinates: * x (x) int64 0 1 2 * y (y) int64 0 1 2 3 4 5

```

 
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   Clip function with minimum or maximum nan value 864494256
824556068 https://github.com/pydata/xarray/issues/5205#issuecomment-824556068 https://api.github.com/repos/pydata/xarray/issues/5205 MDEyOklzc3VlQ29tbWVudDgyNDU1NjA2OA== max-sixty 5635139 2021-04-22T05:45:07Z 2021-04-22T05:45:07Z MEMBER

It's still not great but it's sufficient!

What you want isn't available in numpy, the library we wrap:

```python

In [3]: da.values.clip(lower.values, upper.values) Out[3]: array([[ 1., 1., 2., 3., 4., 4.], [ 6., 7., 8., 9., 10., 10.], [nan, nan, nan, nan, nan, nan]]) ```

But I think what you want is this:

```python

In [11]: lower_inf = lower.where(lower.notnull(), np.inf)

In [14]: lower_inf Out[14]: <xarray.DataArray (x: 3, y: 6)> array([[ 1., 1., 1., 1., 1., 1.], [ 2., 2., 2., 2., 2., 2.], [inf, inf, inf, inf, inf, inf]]) Coordinates: * x (x) int64 0 1 2 * y (y) int64 0 1 2 3 4 5

In [12]: da.clip(lower_inf, upper) Out[12]: <xarray.DataArray (x: 3, y: 6)> array([[ 1., 1., 2., 3., 4., 4.], [ 6., 7., 8., 9., 10., 10.], [14., 14., 14., 14., 14., 14.]]) Coordinates: * x (x) int64 0 1 2 * y (y) int64 0 1 2 3 4 5 * ```

 
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   Clip function with minimum or maximum nan value 864494256
824521012 https://github.com/pydata/xarray/issues/5205#issuecomment-824521012 https://api.github.com/repos/pydata/xarray/issues/5205 MDEyOklzc3VlQ29tbWVudDgyNDUyMTAxMg== max-sixty 5635139 2021-04-22T04:02:45Z 2021-04-22T04:02:45Z MEMBER

If that's unclear, check out some other issues in the repo and use those as a template for yours.

 
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   Clip function with minimum or maximum nan value 864494256
824520444 https://github.com/pydata/xarray/issues/5205#issuecomment-824520444 https://api.github.com/repos/pydata/xarray/issues/5205 MDEyOklzc3VlQ29tbWVudDgyNDUyMDQ0NA== max-sixty 5635139 2021-04-22T04:00:57Z 2021-04-22T04:00:57Z MEMBER

Sure — when you created the issue, there was a template in the text box — could you fill that out?

 
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   Clip function with minimum or maximum nan value 864494256
824504715 https://github.com/pydata/xarray/issues/5205#issuecomment-824504715 https://api.github.com/repos/pydata/xarray/issues/5205 MDEyOklzc3VlQ29tbWVudDgyNDUwNDcxNQ== max-sixty 5635139 2021-04-22T03:08:03Z 2021-04-22T03:08:03Z MEMBER

Hi @babameme — please could you fill out the issue template, including formatting the code reasonably?

 
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   Clip function with minimum or maximum nan value 864494256

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