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  • kripnerl · 4 ✖

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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
777612332 https://github.com/pydata/xarray/issues/4859#issuecomment-777612332 https://api.github.com/repos/pydata/xarray/issues/4859 MDEyOklzc3VlQ29tbWVudDc3NzYxMjMzMg== kripnerl 38673295 2021-02-11T16:16:43Z 2021-02-11T16:16:43Z NONE

@kmuehlbauer Thanks a lot, I will check it ASAP. Yop, conversion to object from U4 is, I believe, normal behaviour. However, this does not cause any trouble for me so far. 

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   Unicode strings unexpectedly transformed to byte strings upon `open_dataset` 800678839
772818772 https://github.com/pydata/xarray/issues/4859#issuecomment-772818772 https://api.github.com/repos/pydata/xarray/issues/4859 MDEyOklzc3VlQ29tbWVudDc3MjgxODc3Mg== kripnerl 38673295 2021-02-03T20:59:00Z 2021-02-03T20:59:00Z NONE

Yes, there was a behaviour change in h5py. A fix is on the way but not yet released: h5netcdf/h5netcdf#81

For the time being you can downgrade h5py: conda install h5py=2 which should fix the issue.

Thank you!

 
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   Unicode strings unexpectedly transformed to byte strings upon `open_dataset` 800678839
772818248 https://github.com/pydata/xarray/issues/4859#issuecomment-772818248 https://api.github.com/repos/pydata/xarray/issues/4859 MDEyOklzc3VlQ29tbWVudDc3MjgxODI0OA== kripnerl 38673295 2021-02-03T20:58:07Z 2021-02-03T20:58:07Z NONE

Possible solution to my problem is:

python test_ds.coords["coils"] = test_ds.coils.values.astype(np.unicode_) test_ds

 
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   Unicode strings unexpectedly transformed to byte strings upon `open_dataset` 800678839
709991825 https://github.com/pydata/xarray/issues/2795#issuecomment-709991825 https://api.github.com/repos/pydata/xarray/issues/2795 MDEyOklzc3VlQ29tbWVudDcwOTk5MTgyNQ== kripnerl 38673295 2020-10-16T11:34:05Z 2020-10-16T11:34:05Z NONE

Hi, I also vote for this function, My typical use-case.

There is some structure in 3D space and I need to "flatten it" to 2D. Let us say it is axially symetric so I assign R and Z coordinate to points (or r and theta in polar). And I want to simplify this using interp; however, it requuires unique coordinates.

I have some solution here: https://stackoverflow.com/questions/51058379/drop-duplicate-times-in-xarray

and adapted this into actuall function:

```python def distribure_uniform(ds, N_points=512):

ds_theta = ds.sortby("theta").swap_dims({"idx": "theta"})
_, index = np.unique(ds_theta['theta'], return_index=True)

ds_theta = ds_theta.isel(theta=index)

ds_theta = ds_theta.interp(
    theta=np.linspace(ds.theta.min(), ds.theta.max(), N_points))

ds_theta = ds_theta.swap_dims({"theta": "idx"})
return ds_theta

```

In an idal case I would like to write something like this:

```python def distribure_uniform(ds, N_points=512):

ds_theta= ds.unique("theta", sorted=False, sort=True)

ds_theta = ds_theta.swap_dims({"idx": "theta"})
ds_theta = ds_theta.interp(
    theta=np.linspace(ds.theta.min(), ds.theta.max(), N_points))
ds_theta = ds_theta.swap_dims({"theta": "idx"})
return ds_theta

```

 
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   Add "unique()" method, mimicking pandas 415774106

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