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  • zxdawn · 4 ✖

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  • Using min() with skipna=True · 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
529164506 https://github.com/pydata/xarray/issues/3290#issuecomment-529164506 https://api.github.com/repos/pydata/xarray/issues/3290 MDEyOklzc3VlQ29tbWVudDUyOTE2NDUwNg== zxdawn 30388627 2019-09-08T02:52:56Z 2019-09-08T02:52:56Z NONE

@shoyer Thanks. It's not datetime64 arrays, this is the result of np.isnat(t): File "/public/software/anaconda/anaconda3/envs/python36/lib/python3.6/site-packages/xarray-0.12.3-py3.6.egg/xarray/core/arithmetic.py", line 69, in __array_ufunc__ dask='allowed') File "/public/software/anaconda/anaconda3/envs/python36/lib/python3.6/site-packages/xarray-0.12.3-py3.6.egg/xarray/core/computation.py", line 969, in apply_ufunc keep_attrs=keep_attrs) File "/public/software/anaconda/anaconda3/envs/python36/lib/python3.6/site-packages/xarray-0.12.3-py3.6.egg/xarray/core/computation.py", line 217, in apply_dataarray_vfunc result_var = func(*data_vars) File "/public/software/anaconda/anaconda3/envs/python36/lib/python3.6/site-packages/xarray-0.12.3-py3.6.egg/xarray/core/computation.py", line 564, in apply_variable_ufunc result_data = func(*input_data) TypeError: ufunc 'isnat' is only defined for datetime and timedelta.

I use pd.isnull(t).all() to check it, it works. Actually it's all nan. There's something wrong with the nc file, I will contact the data center. Thank you for all your help :) 

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   Using min() with skipna=True 490593787
529163827 https://github.com/pydata/xarray/issues/3290#issuecomment-529163827 https://api.github.com/repos/pydata/xarray/issues/3290 MDEyOklzc3VlQ29tbWVudDUyOTE2MzgyNw== zxdawn 30388627 2019-09-08T02:39:30Z 2019-09-08T02:39:30Z NONE

@keewis I tried to using np.isnan(t.values).all() to check whether it's all nan. But, I got this error: print (np.isnan(t.values).all()) TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe'' This is the type of t.values: <class 'numpy.ndarray'>

 
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   Using min() with skipna=True 490593787
529163060 https://github.com/pydata/xarray/issues/3290#issuecomment-529163060 https://api.github.com/repos/pydata/xarray/issues/3290 MDEyOklzc3VlQ29tbWVudDUyOTE2MzA2MA== zxdawn 30388627 2019-09-08T02:22:01Z 2019-09-08T02:22:01Z NONE

@shoyer Thank. It works now. But, I get another question. This is the result of t = ds['time_utc']: <xarray.DataArray 'time_utc' (time: 1, scanline: 357, ground_pixel: 450)> array([[[nan, nan, ..., nan, nan], [nan, nan, ..., nan, nan], ..., [nan, nan, ..., nan, nan], [nan, nan, ..., nan, nan]]], dtype=object) Coordinates: * scanline (scanline) float64 1.0 2.0 3.0 4.0 ... 354.0 355.0 356.0 357.0 * ground_pixel (ground_pixel) float64 1.0 2.0 3.0 4.0 ... 448.0 449.0 450.0 * time (time) datetime64[ns] 2019-08-25 Attributes: long_name: Time of observation as ISO 8601 date-time string If I want to get the minimum value by t.min(skipna=True), I get the strange type: <xarray.DataArray 'time_utc' ()> array(<xarray.core.dtypes.AlwaysGreaterThan object at 0x7f96ac188550>, dtype=object) Can't convert it to string by str(t.min(skipna=True)).

 
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   Using min() with skipna=True 490593787
529091168 https://github.com/pydata/xarray/issues/3290#issuecomment-529091168 https://api.github.com/repos/pydata/xarray/issues/3290 MDEyOklzc3VlQ29tbWVudDUyOTA5MTE2OA== zxdawn 30388627 2019-09-07T09:33:32Z 2019-09-07T09:33:32Z NONE

@max-sixty Actually, I'm using numpy = 1.13.1 and I need skipna= True. Don't understand the error it shows.

 
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   Using min() with skipna=True 490593787

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