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Add @mathause to current core developers. #4335

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merged 1 commit into from
Aug 11, 2020
Merged

Add @mathause to current core developers. #4335

merged 1 commit into from
Aug 11, 2020

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dcherian
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@keewis keewis merged commit d514b12 into master Aug 11, 2020
@keewis keewis deleted the dcherian-patch-1 branch August 11, 2020 22:51
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keewis commented Aug 11, 2020

thanks, @dcherian and welcome, @mathause

dcherian added a commit to rpgoldman/xarray that referenced this pull request Aug 14, 2020
* 'master' of github.com:pydata/xarray: (260 commits)
  Increase support window of all dependencies (pydata#4296)
  Implement interp for interpolating between chunks of data (dask) (pydata#4155)
  Add @mathause to current core developers. (pydata#4335)
  install sphinx-autosummary-accessors from conda-forge (pydata#4332)
  Use sphinx-accessors-autosummary (pydata#4323)
  ndrolling fixes (pydata#4329)
  DOC: fix typo argmin -> argmax in DataArray.argmax docstring (pydata#4327)
  pin sphinx to 3.1(pydata#4326)
  nd-rolling (pydata#4219)
  Implicit dask import 4164 (pydata#4318)
  allow customizing the inline repr of a duck array (pydata#4248)
  silence the known docs CI issues (pydata#4316)
  enh: fixed pydata#4302 (pydata#4315)
  Remove all unused and warn-raising methods from AbstractDataStore (pydata#4310)
  Fix map_blocks example (pydata#4305)
  Fix docstring for missing_dims argument to isel methods (pydata#4298)
  Support for PyCharm remote deployment (pydata#4299)
  Update map_blocks and map_overlap docstrings (pydata#4303)
  Lazily load resource files (pydata#4297)
  warn about the removal of the ufuncs (pydata#4268)
  ...
dcherian added a commit to dcherian/xarray that referenced this pull request Aug 15, 2020
* upstream/master: (34 commits)
  Fix bug in computing means of cftime.datetime arrays (pydata#4344)
  fix some str accessor inconsistencies (pydata#4339)
  pin matplotlib in ci/requirements/doc.yml (pydata#4340)
  Clarify drop_vars return value. (pydata#4244)
  Support explicitly setting a dimension order with to_dataframe() (pydata#4333)
  Increase support window of all dependencies (pydata#4296)
  Implement interp for interpolating between chunks of data (dask) (pydata#4155)
  Add @mathause to current core developers. (pydata#4335)
  install sphinx-autosummary-accessors from conda-forge (pydata#4332)
  Use sphinx-accessors-autosummary (pydata#4323)
  ndrolling fixes (pydata#4329)
  DOC: fix typo argmin -> argmax in DataArray.argmax docstring (pydata#4327)
  pin sphinx to 3.1(pydata#4326)
  nd-rolling (pydata#4219)
  Implicit dask import 4164 (pydata#4318)
  allow customizing the inline repr of a duck array (pydata#4248)
  silence the known docs CI issues (pydata#4316)
  enh: fixed pydata#4302 (pydata#4315)
  Remove all unused and warn-raising methods from AbstractDataStore (pydata#4310)
  Fix map_blocks example (pydata#4305)
  ...
dcherian added a commit to dcherian/xarray that referenced this pull request Aug 16, 2020
* upstream/master: (40 commits)
  Fix bug in computing means of cftime.datetime arrays (pydata#4344)
  fix some str accessor inconsistencies (pydata#4339)
  pin matplotlib in ci/requirements/doc.yml (pydata#4340)
  Clarify drop_vars return value. (pydata#4244)
  Support explicitly setting a dimension order with to_dataframe() (pydata#4333)
  Increase support window of all dependencies (pydata#4296)
  Implement interp for interpolating between chunks of data (dask) (pydata#4155)
  Add @mathause to current core developers. (pydata#4335)
  install sphinx-autosummary-accessors from conda-forge (pydata#4332)
  Use sphinx-accessors-autosummary (pydata#4323)
  ndrolling fixes (pydata#4329)
  DOC: fix typo argmin -> argmax in DataArray.argmax docstring (pydata#4327)
  pin sphinx to 3.1(pydata#4326)
  nd-rolling (pydata#4219)
  Implicit dask import 4164 (pydata#4318)
  allow customizing the inline repr of a duck array (pydata#4248)
  silence the known docs CI issues (pydata#4316)
  enh: fixed pydata#4302 (pydata#4315)
  Remove all unused and warn-raising methods from AbstractDataStore (pydata#4310)
  Fix map_blocks example (pydata#4305)
  ...
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2 participants