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forked from pool/python-xarray
python-xarray/xarray-pr8139-pandas-fill_value.patch
Dirk Mueller dff17e69ab Accepting request 1110376 from home:bnavigator:branches:devel:languages:python:numeric
- Update to 2023.8.0
  * This release brings changes to minimum dependencies, allows
    reading of datasets where a dimension name is associated with a
    multidimensional variable (e.g. finite volume ocean model
    output), and introduces a new xarray.Coordinates object.
  ## Announcements
  * The xarray.Variable class is being refactored out to a new
    project title 'namedarray'. See the design doc for more
    details. Reach out to us on this discussion topic if you have
    any thoughts.
  ## What's Changed
  * Use variable name in all exceptions raised in as_variable by
    @ZedThree in #7995
  * Allow opening datasets with nD dimenson coordinate variables.
    by @dcherian in #7989
  * join together duplicate entries in the text repr by @keewis in
    #7225
  * Expose "Coordinates" as part of Xarray's public API by @benbovy
    in #7368
  * Update interpolate_na in dataset.py by @ilgast in #7974
  * Add HDF5 Section to read/write docs page by @rwegener2 in #8012
  * Add examples to docstrings by @harshitha1201 in #7937
  * (chore) min versions bump by @jhamman in #8022
  * Automatically chunk other in GroupBy binary ops. by @dcherian
    in #7684
  * change cumproduct to cumprod by @quantsnus in #8031
  * Reduce pre-commit update frequency to monthly from weekly. by
    @dcherian in #8033
  * sort when encoding coordinates for deterministic outputs by
    @itcarroll in #8034
  * Zarr : Allow setting write_empty_chunks by @RKuttruff in #8016
  * Count documentation by @Articoking in #8057
  * unpin numpy by @keewis in #8061
- Release 2023.7.0
  * This release brings improvements to the documentation on
    wrapping numpy-like arrays, improved docstrings, and bug fixes.
  ## What's Changed
  * Allow cubed arrays to be passed to flox groupby by @TomNicholas
    in #7941
  * Duck array documentation improvements by @TomNicholas in #7911
  * Docstring examples by @harshitha1201 in #7881
  * Chunked array docs by @TomNicholas in #7951
  * ensure no forward slashes in names for HDF5-based backends by
    @kmuehlbauer in #7953
  * Move absolute path finder from open_mfdataset to own function
    by @Illviljan in #7968
  * Skip broken tests on Python 3.11 and Windows by @Illviljan in
    #7972
  * Examples added to docstrings by @harshitha1201 in #7936
  * Fix typo in zarr.py by @johmathe in #7983
  * Improve explanation in example "Working with Multidimensional
    Coordinates" by @yvonnefroehlich in #7984
  * Remove hue_style from plot1d docstring by @Illviljan in #7925
- Release 2023.06.0
  * This release adds features to curvefit, improves the
    performance of concatenation, and fixes various bugs.
  ## What's Changed
  * Array API fixes for astype by @TomNicholas in #7847
  * Add type hints to test_dtypes by @Illviljan in #7858
  * adapt the pint + dask test to the newest version of pint by
    @keewis in #7855
  * Avoid explicit loop when updating OrderedSet by @Illviljan in
    #7857
  * Improve to_dask_dataframe performance by @Illviljan in #7844
  * Changed duck typing exception to: (ImportError, AttributeError)
    by @vhaasteren in #7874
  * defer to numpy for the expected result by @keewis in #7875
  * deprecate the cdms2 conversion methods by @keewis in #7876
  * Implement multidimensional initial guess and bounds for
    curvefit by @mgunyho in #7821
  * Improve concat performance by @Illviljan in #7824
  * Fix .groupby(multi index level) by @dcherian in #7830
  * don't use CacheFileManager.__del__ on interpreter shutdown by
    @keewis in #7880
  * fix polyfit changing the original object by @malmans2 in #7900
  * Fix flaky doctest for curvefit by @mgunyho in #7893
  * Ensure dtype of reindex result matches dtype of the original
    DataArray by @andersy005 in #7917
  * Add errors option to curvefit by @mgunyho in #7891
  * CF encoding should preserve vlen dtype for empty arrays by
    @tomwhite in #7862
  * use trusted publishers instead of a API token by @keewis in
    #7899
  * Add cfgrib,ipywidgets to doc env by @dcherian in #7888
  * Fix regression with grouper object on an IndexVariable by
    @mwtoews in #7920
  * Fix check for chunk_store in zarr backend by @juntyr in #7923
  * fixing rolling_window issue with cupy by @negin513 in #7938
- Add xarray-pr8139-pandas-fill_value.patch gh#pydata/xarray#8125,
  gh#pydata/xarray#8139

OBS-URL: https://build.opensuse.org/request/show/1110376
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=82
2023-09-13 07:39:53 +00:00

39 lines
1.7 KiB
Diff

From 3e48312c41cb26bbd4dc83ae286444f1469b7aa2 Mon Sep 17 00:00:00 2001
From: Maximilian Roos <m@maxroos.com>
Date: Fri, 1 Sep 2023 19:41:41 -0700
Subject: [PATCH] Fix pandas interpolate(fill_value=) error
Pandas no longer has a `fill_value` parameter for `interpolate`.
Weirdly I wasn't getting this locally, on pandas 2.1.0, only in CI on https://github.com/pydata/xarray/actions/runs/6054400455/job/16431747966?pr=8138.
Removing it passes locally, let's see whether this works in CI
---
xarray/tests/test_missing.py | 6 ++++--
1 file changed, 4 insertions(+), 2 deletions(-)
diff --git a/xarray/tests/test_missing.py b/xarray/tests/test_missing.py
index a6b6b1f80c..c303659116 100644
--- a/xarray/tests/test_missing.py
+++ b/xarray/tests/test_missing.py
@@ -104,7 +104,8 @@ def test_interpolate_pd_compat():
for dim in ["time", "x"]:
actual = da.interpolate_na(method=method, dim=dim, fill_value=np.nan)
expected = df.interpolate(
- method=method, axis=da.get_axis_num(dim), fill_value=(np.nan, np.nan)
+ method=method,
+ axis=da.get_axis_num(dim),
)
# Note, Pandas does some odd things with the left/right fill_value
# for the linear methods. This next line inforces the xarray
@@ -140,7 +141,8 @@ def test_interpolate_pd_compat_non_uniform_index():
method="linear", dim=dim, use_coordinate=True, fill_value=np.nan
)
expected = df.interpolate(
- method=method, axis=da.get_axis_num(dim), fill_value=np.nan
+ method=method,
+ axis=da.get_axis_num(dim),
)
# Note, Pandas does some odd things with the left/right fill_value