- Update to version 1.5.2
  ## Fixed regressions
  * Fixed regression in MultiIndex.join() for extension array
    dtypes (GH49277)
  * Fixed regression in Series.replace() raising RecursionError
    with numeric dtype and when specifying value=None (GH45725)
  * Fixed regression in arithmetic operations for DataFrame with
    MultiIndex columns with different dtypes (GH49769)
  * Fixed regression in DataFrame.plot() preventing Colormap
    instance from being passed using the colormap argument if
    Matplotlib 3.6+ is used (GH49374)
  * Fixed regression in date_range() returning an invalid set of
    periods for CustomBusinessDay frequency and start date with
    timezone (GH49441)
  * Fixed performance regression in groupby operations (GH49676)
  * Fixed regression in Timedelta constructor returning object of
    wrong type when subclassing Timedelta (GH49579)
  ## Bug fixes
  * Bug in the Copy-on-Write implementation losing track of views
    in certain chained indexing cases (GH48996)
  * Fixed memory leak in Styler.to_excel() (GH49751)
  ## Other
  * Reverted color as an alias for c and size as an alias for s in
    function DataFrame.plot.scatter() (GH49732)
- Add pandas-pr49886-fix-numpy-deprecations.patch
  * gh#pandas-dev/pandas#49887
- Move to PEP518 build

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- Update to version 1.4.2
- Copy back the installed package into the source tree
  * mimics upstreams test setup of an editable install
  * avoids conftest.py collection errors with pytest 7

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update to latest version

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- Skip more tests on non-intel architectures
  boo#1167730

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- Update to version 1.4.0
  * https://pandas.pydata.org/docs/whatsnew/v1.4.0.html
  * Enhancements
   - Improved warning messages
   - Index can hold arbitrary ExtensionArrays
   - Enhancements in Styler
   - Multi-threaded CSV reading with a new CSV Engine based on
     pyarrow
   - Rank function for rolling and expanding windows
   - Groupby positional indexing
   - DataFrame.from_dict and DataFrame.to_dict have new 'tight'
     option
  * Notable bug fixes
    - Inconsistent date string parsing
    - Ignoring dtypes in concat with empty or all-NA columns
    - Null-values are no longer coerced to NaN-value in
      value_counts and mode
    - mangle_dupe_cols in read_csv no longer renames unique columns
      conflicting with target names
    - unstack and pivot_table no longer raises ValueError for
      result that would exceed int32 limit
    - groupby.apply consistent transform detection
  * API changes
    - Index.get_indexer_for() no longer accepts keyword arguments
      (other than target); in the past these would be silently
      ignored if the index was not unique (GH42310)
    - Change in the position of the min_rows argument in
      DataFrame.to_string() due to change in the docstring
      (GH44304)
    - Reduction operations for DataFrame or Series now raising a
      ValueError when None is passed for skipna (GH44178)
    - read_csv() and read_html() no longer raising an error when
      one of the header rows consists only of Unnamed: columns
      (GH13054)
    - Changed the name attribute of several holidays in
      USFederalHolidayCalendar to match official federal holiday
      names.
  * Deprecations
    - Deprecated Int64Index, UInt64Index & Float64Index
    - Deprecated Frame.append and Series.append
- Split out test runs into separate flavors, optimize memory usage
  in pytest-xdist runs

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- Update to version 1.3.5
  * Fixed regression in Series.equals() when comparing floats with
    dtype object to None (GH44190)
  * Fixed regression in merge_asof() raising error when array was
    supplied as join key (GH42844)
  * Fixed regression when resampling DataFrame with DateTimeIndex
    with empty groups and uint8, uint16 or uint32 columns
    incorrectly raising RuntimeError (GH43329)
  * Fixed regression in creating a DataFrame from a timezone-aware
    Timestamp scalar near a Daylight Savings Time transition
    (GH42505)
  * Fixed performance regression in read_csv() (GH44106)
  * Fixed regression in Series.duplicated() and
    Series.drop_duplicates() when Series has Categorical dtype with
    boolean categories (GH44351)
  * Fixed regression in GroupBy.sum() with timedelta64[ns] dtype
    containing NaT failing to treat that value as NA (GH42659)
  * Fixed regression in RollingGroupby.cov() and
    RollingGroupby.corr() when other had the same shape as each
    group would incorrectly return superfluous groups in the result
    (GH42915)

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- Update to version 1.3.4
  * Fixed regression in DataFrame.convert_dtypes() incorrectly
    converts byte strings to strings (GH43183)
  * Fixed regression in GroupBy.agg() where it was failing
    silently with mixed data types along axis=1 and MultiIndex (GH43209)
  * Fixed regression in merge() with integer and NaN keys
    failing with outer merge (GH43550)
  * Fixed regression in DataFrame.corr() raising ValueError with
    method="spearman" on 32-bit platforms (GH43588)
  * Fixed performance regression in MultiIndex.equals() (GH43549)
  * Fixed performance regression in GroupBy.first() and GroupBy.last()
    with StringDtype (GH41596)
  * Fixed regression in Series.cat.reorder_categories() failing to
    update the categories on the Series (GH43232)
  * Fixed regression in Series.cat.categories() setter failing to
    update the categories on the Series (GH43334)
  * Fixed regression in read_csv() raising UnicodeDecodeError exception
    when memory_map=True (GH43540)
  * Fixed regression in DataFrame.explode() raising AssertionError
    when column is any scalar which is not a string (GH43314)
  * Fixed regression in Series.aggregate() attempting to pass args
    and kwargs multiple times to the user supplied func in certain cases (GH43357)
  * Fixed regression when iterating over a DataFrame.groupby.rolling
    object causing the resulting DataFrames to have an incorrect index if the input groupings were not sorted (GH43386)
  * Fixed regression in DataFrame.groupby.rolling.cov() and 
    DataFrame.groupby.rolling.corr() computing incorrect results if the
    input groupings were not sorted (GH43386)
  * Fixed bug in pandas.DataFrame.groupby.rolling() and
    pandas.api.indexers.FixedForwardWindowIndexer leading to
    segfaults and window endpoints being mixed across groups (GH43267)
  * Fixed bug in GroupBy.mean() with datetimelike values
    including NaT values returning incorrect results (GH43132)
  * Fixed bug in Series.aggregate() not passing the first args
    to the user supplied func in certain cases (GH43357)
  * Fixed memory leaks in Series.rolling.quantile() and
    Series.rolling.median() (GH43339)

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- Update to version 1.3.3
  * Fixed regression in DataFrame constructor failing to broadcast
    for defined Index and len one list of Timestamp (GH42810)
  * Fixed regression in GroupBy.agg() incorrectly raising in some
    cases (GH42390)
  * Fixed regression in GroupBy.apply() where nan values were
    dropped even with dropna=False (GH43205)
  * Fixed regression in GroupBy.quantile() which was failing with
    pandas.NA (GH42849)
  * Fixed regression in merge() where on columns with
    ExtensionDtype or bool data types were cast to object in right
    and outer merge (GH40073)
  * Fixed regression in RangeIndex.where() and RangeIndex.putmask()
    raising AssertionError when result did not represent a
    RangeIndex (GH43240)
  * Fixed regression in read_parquet() where the fastparquet engine
    would not work properly with fastparquet 0.7.0 (GH43075)
  * Fixed regression in DataFrame.loc.__setitem__() raising
    ValueError when setting array as cell value (GH43422)
  * Fixed regression in is_list_like() where objects with __iter__
    set to None would be identified as iterable (GH43373)
  * Fixed regression in DataFrame.__getitem__() raising error for
    slice of DatetimeIndex when index is non monotonic (GH43223)
  * Fixed regression in Resampler.aggregate() when used after
    column selection would raise if func is a list of aggregation
    functions (GH42905)
  * Fixed regression in DataFrame.corr() where Kendall correlation
    would produce incorrect results for columns with repeated
    values (GH43401)
  * Fixed regression in DataFrame.groupby() where aggregation on
    columns with object types dropped results on those columns
    (GH42395, GH43108)
  * Fixed regression in Series.fillna() raising TypeError when
    filling float Series with list-like fill value having a dtype
    which couldn’t cast lostlessly (like float32 filled with
    float64) (GH43424)
  * Fixed regression in read_csv() raising AttributeError when the
    file handle is an tempfile.SpooledTemporaryFile object
    (GH43439)
  * Fixed performance regression in core.window.ewm.
    ExponentialMovingWindow.mean() (GH42333)
  * Performance improvement for DataFrame.__setitem__() when the
    key or value is not a DataFrame, or key is not list-like
    (GH43274)
  * Fixed bug in DataFrameGroupBy.agg() and DataFrameGroupBy.
    transform() with engine="numba" where index data was not being
    correctly passed into func (GH43133)
- Release 1.3.2
  * Performance regression in DataFrame.isin() and Series.isin()
    for nullable data types (GH42714)
  * Regression in updating values of Series using boolean index,
    created by using DataFrame.pop() (GH42530)
  * Regression in DataFrame.from_records() with empty records
    (GH42456)
  * Fixed regression in DataFrame.shift() where TypeError occurred
    when shifting DataFrame created by concatenation of slices and
    fills with values (GH42719)
  * Regression in DataFrame.agg() when the func argument returned
    lists and axis=1 (GH42727)
  * Regression in DataFrame.drop() does nothing if MultiIndex has
    duplicates and indexer is a tuple or list of tuples (GH42771)
  * Fixed regression where read_csv() raised a ValueError when
    parameters names and prefix were both set to None (GH42387)
  * Fixed regression in comparisons between Timestamp object and
    datetime64 objects outside the implementation bounds for
    nanosecond datetime64 (GH42794)
  * Fixed regression in Styler.highlight_min() and Styler.
    highlight_max() where pandas.NA was not successfully ignored
    (GH42650)
  * Fixed regression in concat() where copy=False was not honored
    in axis=1 Series concatenation (GH42501)
  * Regression in Series.nlargest() and Series.nsmallest() with
    nullable integer or float dtype (GH42816)
  * Fixed regression in Series.quantile() with Int64Dtype (GH42626)
  * Fixed regression in Series.groupby() and DataFrame.groupby()
    where supplying the by argument with a Series named with a
    tuple would incorrectly raise (GH42731)
  * Bug in read_excel() modifies the dtypes dictionary when reading
    a file with duplicate columns (GH42462)
  * 1D slices over extension types turn into N-dimensional slices
    over ExtensionArrays (GH42430)
  * Fixed bug in Series.rolling() and DataFrame.rolling() not
    calculating window bounds correctly for the first row when
    center=True and window is an offset that covers all the rows
    (GH42753)
  * Styler.hide_columns() now hides the index name header row as
    well as column headers (GH42101)
  * Styler.set_sticky() has amended CSS to control the column/index
    names and ensure the correct sticky positions (GH42537)
  * Bug in de-serializing datetime indexes in PYTHONOPTIMIZED mode
    (GH42866)

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- Drop suggests of python-numba (pulls in LLVM10) and python-QtPy
  (pulls in Qt3D, python-qt5 is enough) to make the TW DVD fit again

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- Update to version 1.3.1
  Fixed regressions
  * Pandas could not be built on PyPy (GH42355)
  * DataFrame constructed with an older version of pandas could not
    be unpickled (GH42345)
  * Performance regression in constructing a DataFrame from a
    dictionary of dictionaries (GH42248)
  * Fixed regression in DataFrame.agg() dropping values when the
    DataFrame had an Extension Array dtype, a duplicate index, and
    axis=1 (GH42380)
  * Fixed regression in DataFrame.astype() changing the order of
    noncontiguous data (GH42396)
  * Performance regression in DataFrame in reduction operations
    requiring casting such as DataFrame.mean() on integer data
    (GH38592)
  * Performance regression in DataFrame.to_dict() and Series.to_dict
    () when orient argument one of “records”, “dict”, or “split”
    (GH42352)
  * Fixed regression in indexing with a list subclass incorrectly
    raising TypeError (GH42433, GH42461)
  * Fixed regression in DataFrame.isin() and Series.isin() raising
    TypeError with nullable data containing at least one missing
    value (GH42405)
  * Regression in concat() between objects with bool dtype and
    integer dtype casting to object instead of to integer (GH42092)
  * Bug in Series constructor not accepting a dask.Array (GH38645)
  * Fixed regression for SettingWithCopyWarning displaying
    incorrect stacklevel (GH42570)
  * Fixed regression for merge_asof() raising KeyError when one of
    the by columns is in the index (GH34488)

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