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Feature/merge errormsg #2971

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merged 8 commits into from
Jun 12, 2019
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mathause
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@dcherian
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LGTM. Thanks @mathause

@dcherian dcherian mentioned this pull request May 21, 2019
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dict_like_objects = list()
for obj in objects:
if not (isinstance(obj, (DataArray, Dataset, dict))):
raise ValueError("'objects' must be an iterable containing only "
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Thanks @mathause. Would you mind changing this to TypeError? That's generally the appropriate error to raise if input arguments have the wrong type.

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pep8speaks commented May 27, 2019

Hello @mathause! Thanks for updating this PR. We checked the lines you've touched for PEP 8 issues, and found:

There are currently no PEP 8 issues detected in this Pull Request. Cheers! 🍻

Comment last updated at 2019-06-12 15:29:23 UTC

@dcherian dcherian merged commit 7e4bf86 into pydata:master Jun 12, 2019
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Thanks @mathause !

dcherian added a commit to dcherian/xarray that referenced this pull request 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)
  ...
@mathause mathause deleted the feature/merge_errormsg branch October 29, 2019 17:55
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xr.merge fails when passing dict
5 participants