python3-pandas: Upgrade 1.1.0 -> 1.1.1

Upgrade to release 1.1.1:

- Fixed regression in CategoricalIndex.format() where, when
  stringified scalars had different lengths, the shorter string
  would be right-filled with spaces, so it had the same length
  as the longest string
- Fixed regression in Series.truncate() when trying to truncate
  a single-element series
- Fixed regression where DataFrame.to_numpy() would raise a
  RuntimeError for mixed dtypes when converting to str
- Fixed regression where read_csv() would raise a ValueError when
  pandas.options.mode.use_inf_as_na was set to True
- Fixed regression where pandas.testing.assert_series_equal()
  would raise an error when non-numeric dtypes were passed with
  check_exact=True
- Fixed regression in .groupby(..).rolling(..) where column
  selection was ignored
- Fixed regression where DataFrame.interpolate() would raise a
  TypeError when the DataFrame was empty
- Fixed regression in DataFrame.shift() with axis=1 and
  heterogeneous dtypes
- Fixed regression in DataFrame.diff() with read-only data
- Fixed regression in .groupby(..).rolling(..) where a segfault
  would occur with center=True and an odd number of values
- Fixed regression in DataFrame.apply() where functions that
  altered the input in-place only operated on a single row
- Fixed regression in DataFrame.reset_index() would raise a
  ValueError on empty DataFrame with a MultiIndex with a
  datetime64 dtype level
- Fixed regression where pandas.merge_asof() would raise a
  UnboundLocalError when left_index, right_index and tolerance
  were set
- Fixed regression in .groupby(..).rolling(..) where a custom
  BaseIndexer would be ignored
- Fixed regression in DataFrame.replace() and Series.replace()
  where compiled regular expressions would be ignored during
  replacement
- Bug in Styler whereby cell_ids argument had no effect due to
  other recent changes
- Bug in pandas.testing.assert_series_equal() and
  pandas.testing.assert_frame_equal() where extension dtypes
  were not ignored when check_dtypes was set to False
- Bug in to_timedelta() fails when arg is a Series with Int64
  dtype containing null values
- Bug in .groupby(..).rolling(..) where passing closed with
  column selection would raise a ValueError
- Bug in DataFrame constructor failing to raise ValueError in
  some cases when data and index have mismatched lengths

Signed-off-by: Leon Anavi <leon.anavi@konsulko.com>
Acked-by: Trevor Gamblin <trevor.gamblin@windriver.com>
Signed-off-by: Khem Raj <raj.khem@gmail.com>

meta-python/recipes-devtools/python/python3-pandas_1.1.1.bb

@@ -6,8 +6,8 @@ HOMEPAGE = "http://pandas.pydata.org/"
 LICENSE = "BSD-3-Clause"
 LIC_FILES_CHKSUM = "file://LICENSE;md5=c2a8f987b2ce77c368c6b3e1b5b10774"
 
-SRC_URI[md5sum] = "512da48424b85bf198002bdbdf38af5a"
-SRC_URI[sha256sum] = "b39508562ad0bb3f384b0db24da7d68a2608b9ddc85b1d931ccaaa92d5e45273"
+SRC_URI[md5sum] = "bb796b56c276ecea1a6a227010e9c56a"
+SRC_URI[sha256sum] = "53328284a7bb046e2e885fd1b8c078bd896d7fc4575b915d4936f54984a2ba67"
 
 inherit pypi setuptools3