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Merge branch 'main' into meson
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‎ci/code_checks.sh

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@@ -97,7 +97,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i "pandas.arrays.NumpyExtensionArray SA01" \
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-i "pandas.arrays.SparseArray PR07,SA01" \
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-i "pandas.arrays.TimedeltaArray PR07,SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.__iter__ RT03,SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.boxplot PR07,RT03,SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.get_group RT03,SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.groups SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.nunique SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.plot PR02" \
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-i "pandas.core.groupby.DataFrameGroupBy.sem SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.__iter__ RT03,SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.get_group RT03,SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.groups SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.indices SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.nth PR02" \
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-i "pandas.core.groupby.SeriesGroupBy.plot PR02" \
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-i "pandas.core.groupby.SeriesGroupBy.sem SA01" \
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-i "pandas.core.resample.Resampler.__iter__ RT03,SA01" \
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-i "pandas.core.resample.Resampler.get_group RT03,SA01" \
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-i "pandas.core.resample.Resampler.groups SA01" \
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-i "pandas.core.resample.Resampler.indices SA01" \

‎ci/deps/actions-310.yaml

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- scipy>=1.10.0
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- sqlalchemy>=2.0.0
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- tabulate>=0.9.0
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- xarray>=2022.12.0
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- xarray>=2022.12.0, <=2024.9.0
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- xlrd>=2.0.1
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- xlsxwriter>=3.0.5
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- zstandard>=0.19.0

‎ci/deps/actions-311-downstream_compat.yaml

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- scipy>=1.10.0
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- sqlalchemy>=2.0.0
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- tabulate>=0.9.0
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- xarray>=2022.12.0
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- xarray>=2022.12.0, <=2024.9.0
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- xlrd>=2.0.1
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- xlsxwriter>=3.0.5
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- zstandard>=0.19.0

‎ci/deps/actions-311.yaml

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- scipy>=1.10.0
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- sqlalchemy>=2.0.0
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- tabulate>=0.9.0
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- xarray>=2022.12.0
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- xarray>=2022.12.0, <=2024.9.0
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- xlrd>=2.0.1
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- xlsxwriter>=3.0.5
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- zstandard>=0.19.0

‎ci/deps/actions-312.yaml

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- scipy>=1.10.0
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- sqlalchemy>=2.0.0
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- tabulate>=0.9.0
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- xarray>=2022.12.0
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- xarray>=2022.12.0, <=2024.9.0
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- xlrd>=2.0.1
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- xlsxwriter>=3.0.5
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- zstandard>=0.19.0

‎ci/deps/circle-311-arm64.yaml

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- scipy>=1.10.0
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- sqlalchemy>=2.0.0
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- tabulate>=0.9.0
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- xarray>=2022.12.0
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- xarray>=2022.12.0, <2024.10.0
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- xlrd>=2.0.1
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- xlsxwriter>=3.0.5
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- zstandard>=0.19.0

‎environment.yml

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- scipy>=1.10.0
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- sqlalchemy>=2.0.0
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- tabulate>=0.9.0
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- xarray>=2022.12.0
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- xarray>=2022.12.0, <=2024.9.0
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- xlrd>=2.0.1
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- xlsxwriter>=3.0.5
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- zstandard>=0.19.0

‎pandas/core/groupby/groupby.py

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"""
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Groupby iterator.
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This method provides an iterator over the groups created by the ``resample``
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or ``groupby`` operation on the object. The method yields tuples where
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the first element is the label (group key) corresponding to each group or
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resampled bin, and the second element is the subset of the data that falls
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within that group or bin.
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Returns
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-------
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Generator yielding sequence of (name, subsetted object)
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for each group
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Iterator
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Generator yielding a sequence of (name, subsetted object)
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for each group.
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See Also
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--------
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Series.groupby : Group data by a specific key or column.
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DataFrame.groupby : Group DataFrame using mapper or by columns.
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DataFrame.resample : Resample a DataFrame.
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Series.resample : Resample a Series.
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Examples
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--------

‎pandas/tests/io/test_spss.py

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"modification_time": datetime.datetime(2015, 2, 6, 14, 33, 36),
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}
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)
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assert df.attrs == metadata
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if Version(pyreadstat.__version__) >= Version("1.2.8"):
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metadata["mr_sets"] = {}
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tm.assert_dict_equal(df.attrs, metadata)

‎requirements-dev.txt

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scipy>=1.10.0
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SQLAlchemy>=2.0.0
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tabulate>=0.9.0
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xarray>=2022.12.0
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xarray>=2022.12.0, <=2024.9.0
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xlrd>=2.0.1
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xlsxwriter>=3.0.5
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zstandard>=0.19.0

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