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xr.Dataset.drop #2994
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This sounds fine to me. Any interest in putting together a pull request? See http://xarray.pydata.org/en/stable/contributing.html for guidance. (It might also make sense to put this in xarray's |
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shoyer
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Jun 20, 2019
* Add "errors" keyword argument (GH2994) Adds an errors keyword to Dataset.drop(), Dataset.drop_dims(), and DataArray.drop() (GH2994). Consistent with pandas, the value can be either "raise" or "ignore" * Fix quotes * Different pandas versions raise different errors * Error messages also vary * Correct doc for DataArray.drop; array, not dataset * Require errors argument to be passed with a keyword
dcherian
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Jun 24, 2019
* master: (31 commits) Add quantile method to GroupBy (pydata#2828) rolling_exp (nee ewm) (pydata#2650) Ensure explicitly indexed arrays are preserved (pydata#3027) add back dask-dev tests (pydata#3025) ENH: keepdims=True for xarray reductions (pydata#3033) Revert cmap fix (pydata#3038) Add "errors" keyword argument to drop() and drop_dims() (pydata#2994) (pydata#3028) More consistency checks (pydata#2859) Check types in travis (pydata#3024) Update issue templates (pydata#3019) Add pytest markers to avoid warnings (pydata#3023) Feature/merge errormsg (pydata#2971) More support for missing_value. (pydata#2973) Use flake8 rather than pycodestyle (pydata#3010) Pandas labels deprecation (pydata#3016) Pytest capture uses match, not message (pydata#3011) dask-dev tests to allowed failures in travis (pydata#3014) Fix 'to_masked_array' computing dask arrays twice (pydata#3006) str accessor (pydata#2991) fix safe_cast_to_index (pydata#3001) ...
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Currently,
drop
throws an error if one of the labels doesn't exist. It would be nice to have a parameter in the drop method for optionally ignoring errors like in the pandas.DataFrame.From the pandas documentation:
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