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  • xarray · 4 ✖
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
219043002 MDU6SXNzdWUyMTkwNDMwMDI= 1350 where(..., drop=True) error pwolfram 4295853 closed 0   v0.9.3 2444330 4 2017-04-03T19:53:33Z 2017-04-14T03:50:53Z 2017-04-14T03:50:53Z CONTRIBUTOR      

These results appear to be incorrect unless I'm missing something: ```python In [1]: import xarray as xr

In [2]: import numpy as np

In [3]: array = xr.DataArray(np.zeros((1,2,3)), dims=['time','x','y'], coords={'x':np.arange(2)})

In [4]: array[0,1,1] = 1

In [5]: array.where(array !=0, drop=True) Out[5]: <xarray.DataArray (time: 1, x: 1, y: 1)> array([[[ 0.]]]) Coordinates: * x (x) int64 1 Dimensions without coordinates: time, y

In [5]: array.where(array !=0, drop=True).values Out[5]: array([[[ 0.]]])

In [7]: array.values[array.values !=0] Out[7]: array([ 1.]) ```

 
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   completed xarray 13221727 issue
216535655 MDU6SXNzdWUyMTY1MzU2NTU= 1320 BUG: to_netcdf no longer works with file objects when engine='scipy' shoyer 1217238 closed 0 shoyer 1217238 v0.9.3 2444330 0 2017-03-23T18:53:18Z 2017-04-13T05:32:59Z 2017-04-13T05:32:59Z MEMBER      

This worked in xarray v0.8.2, but no longer works in v0.9.1: ds.to_netcdf(f, engine='scipy') when f is a file-like object.

The traceback looks like: File "...../xarray/core/dataset.py", line 953, in to_netcdf unlimited_dims=unlimited_dims) File "...../xarray/backends/api.py", line 546, in to_netcdf path = _normalize_path(path) File "...../xarray/backends/api.py", line 51, in _normalize_path if is_remote_uri(path): File "...../xarray/core/utils.py", line 439, in is_remote_uri return bool(re.search('^https?\://', path)) File "...../re.py", line 146, in search return _compile(pattern, flags).search(string) TypeError: expected string or buffer

The problem is that to_netcdf does not check to make sure the path is a string before calling _normalize_path: https://github.com/pydata/xarray/blob/b3fc6c4e4fafdf4f075b791594633970a787ad79/xarray/backends/api.py#L545-L548

For now, it's easy enough to work around this by creating a byte-string with to_netcdf and then writing the file separately, but it would be nice to support writing to the file-like object directly again.

 
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   completed xarray 13221727 issue
216537677 MDU6SXNzdWUyMTY1Mzc2Nzc= 1321 BUG: to_netcdf(engine='scipy') raises an error when it shouldn't shoyer 1217238 closed 0 shoyer 1217238 v0.9.3 2444330 0 2017-03-23T19:00:18Z 2017-04-13T05:32:59Z 2017-04-13T05:32:59Z MEMBER      

With xarray v0.9.1, I get the confusing error message: ValueError: invalid engine for creating bytes with to_netcdf: 'scipy'. Only the default engine or engine='scipy' is supported

This check should be elif engine != 'scipy' instead: https://github.com/pydata/xarray/blob/b3fc6c4e4fafdf4f075b791594633970a787ad79/xarray/backends/api.py#L541

 
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   completed xarray 13221727 issue
220241754 MDU6SXNzdWUyMjAyNDE3NTQ= 1359 Bug: open_dataarray does not pass properly its parameters to open_dataset NotSqrt 1997005 closed 0   v0.9.3 2444330 1 2017-04-07T15:06:50Z 2017-04-12T22:28:35Z 2017-04-12T22:28:35Z CONTRIBUTOR      

Hi,

There's now a autoclose parameter to the open_dataset function. But open_dataarray uses positional arguments only, so now the arguments are no longer at their place, and engine, for instance, can't be specified.

Thanks !

 
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   completed xarray 13221727 issue

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