Log message:
py-pandas: fix minimum meson dependency pattern

We need to force a minimum with the most recent Python multi-version
patching.

Log message:
py-pandas: fix (sandboxed) non-default Python builds

Another issue where Meson isn't versioned in pkgsrc, so we end up with
it "helpfully" supplying the path to Python it believes is correct,
which is wrong for any non-default Python version. (The 2.1.0 version
of this package carried a similar fix, which was removed in the update
to 2.1.1; a variation of it is restored here.)

Separately, this package directly expresses a minimum Meson version, so
reflect that as well.

Log message:
py-pandas: updated to 2.1.1

What’s new in 2.1.1 (September 20, 2023)

These are the changes in pandas 2.1.1. See Release notes for a full changelog \ 
including other versions of pandas.

Fixed regressions

Fixed regression in concat() when DataFrame ‘s have two different extension \ 
dtypes (GH 54848)
Fixed regression in merge() when merging over a PyArrow string index (GH 54894)
Fixed regression in read_csv() when usecols is given and dtypes is a dict for \ 
engine="python" (GH 54868)
Fixed regression in read_csv() when delim_whitespace is True (GH 54918, GH 54931)
Fixed regression in GroupBy.get_group() raising for axis=1 (GH 54858)
Fixed regression in DataFrame.__setitem__() raising AssertionError when setting \ 
a Series with a partial MultiIndex (GH 54875)
Fixed regression in DataFrame.filter() not respecting the order of elements for \ 
filter (GH 54980)
Fixed regression in DataFrame.to_sql() not roundtripping datetime columns \ 
correctly for sqlite (GH 54877)
Fixed regression in DataFrameGroupBy.agg() when aggregating a DataFrame with \ 
duplicate column names using a dictionary (GH 55006)
Fixed regression in MultiIndex.append() raising when appending overlapping \ 
IntervalIndex levels (GH 54934)
Fixed regression in Series.drop_duplicates() for PyArrow strings (GH 54904)
Fixed regression in Series.interpolate() raising when fill_value was given (GH 54920)
Fixed regression in Series.value_counts() raising for numeric data if bins was \ 
specified (GH 54857)
Fixed regression in comparison operations for PyArrow backed columns not \ 
propagating exceptions correctly (GH 54944)
Fixed regression when comparing a Series with datetime64 dtype with None (GH 54870)

Bug fixes

Fixed bug for ArrowDtype raising NotImplementedError for fixed-size list (GH 55000)
Fixed bug in DataFrame.stack() with future_stack=True and columns a \ 
non-MultiIndex consisting of tuples (GH 54948)
Fixed bug in Series.dt.tz() with ArrowDtype where a string was returned instead \ 
of a tzinfo object (GH 55003)
Fixed bug in Series.pct_change() and DataFrame.pct_change() showing unnecessary \ 
FutureWarning (GH 54981)

Other

Reverted the deprecation that disallowed Series.apply() returning a DataFrame \ 
when the passed-in callable returns a Series object (GH 52116)

Log message:
py-pandas: updated to 2.1.0

https://pandas.pydata.org/docs/whatsnew/v2.1.0.html

Log message:
py-pandas: updated to 2.0.3

2.0.3

Fixed regressions

Bug in Timestamp.weekday`() was returning incorrect results before '0000-02-29' \ 
(GH53738)
Fixed performance regression in merging on datetime-like columns (GH53231)
Fixed regression when DataFrame.to_string() creates extra space for string \ 
dtypes (GH52690)

Bug fixes

Bug in DataFrame.convert_dtype() and Series.convert_dtype() when trying to \ 
convert ArrowDtype with dtype_backend="nullable_numpy" (GH53648)
Bug in RangeIndex.union() when using sort=True with another RangeIndex (GH53490)
Bug in Series.reindex() when expanding a non-nanosecond datetime or timedelta \ 
Series would not fill with NaT correctly (GH53497)
Bug in read_csv() when defining dtype with bool[pyarrow] for the "c" \ 
and "python" engines (GH53390)
Bug in Series.str.split() and Series.str.rsplit() with expand=True for \ 
ArrowDtype with pyarrow.string (GH53532)
Bug in indexing methods (e.g. DataFrame.__getitem__()) where taking the entire \ 
DataFrame/Series would raise an OverflowError when Copy on Write was enabled and \ 
the length of the array was over the maximum size a 32-bit integer can hold \ 
(GH53616)
Bug when constructing a DataFrame with columns of an ArrowDtype with a \ 
pyarrow.dictionary type that reindexes the data (GH53617)
Bug when indexing a DataFrame or Series with an Index with a timestamp \ 
ArrowDtype would raise an AttributeError (GH53644)

2.0.2

Fixed regressions

Fixed performance regression in GroupBy.apply() (GH53195)
Fixed regression in merge() on Windows when dtype is np.intc (GH52451)
Fixed regression in read_sql() dropping columns with duplicated column names \ 
(GH53117)
Fixed regression in DataFrame.loc() losing MultiIndex name when enlarging object \ 
(GH53053)
Fixed regression in DataFrame.to_string() printing a backslash at the end of the \ 
first row of data, instead of headers, when the DataFrame doesn’t fit the line \ 
width (GH53054)
Fixed regression in MultiIndex.join() returning levels in wrong order (GH53093)

Bug fixes

Bug in arrays.ArrowExtensionArray incorrectly assigning dict instead of list for \ 
.type with pyarrow.map_ and raising a NotImplementedError with pyarrow.struct \ 
(GH53328)
Bug in api.interchange.from_dataframe() was raising IndexError on empty \ 
categorical data (GH53077)
Bug in api.interchange.from_dataframe() was returning DataFrame’s of incorrect \ 
sizes when called on slices (GH52824)
Bug in api.interchange.from_dataframe() was unnecessarily raising on bitmasks \ 
(GH49888)
Bug in merge() when merging on datetime columns on different resolutions (GH53200)
Bug in read_csv() raising OverflowError for engine="pyarrow" and \ 
parse_dates set (GH53295)
Bug in to_datetime() was inferring format to contain "%H" instead of \ 
"%I" if date contained “AM” / “PM” tokens (GH53147)
Bug in DataFrame.convert_dtypes() ignores convert_* keywords when set to False \ 
dtype_backend="pyarrow" (GH52872)
Bug in DataFrame.convert_dtypes() losing timezone for tz-aware dtypes and \ 
dtype_backend="pyarrow" (GH53382)
Bug in DataFrame.sort_values() raising for PyArrow dictionary dtype (GH53232)
Bug in Series.describe() treating pyarrow-backed timestamps and timedeltas as \ 
categorical data (GH53001)
Bug in Series.rename() not making a lazy copy when Copy-on-Write is enabled when \ 
a scalar is passed to it (GH52450)
Bug in pd.array() raising for NumPy array and pa.large_string or pa.large_binary \ 
(GH52590)
Bug in DataFrame.__getitem__() not preserving dtypes for MultiIndex partial keys \ 
(GH51895)

2.0.1

Fixed regressions

Fixed regression for subclassed Series when constructing from a dictionary (GH52445)
Fixed regression in SeriesGroupBy.agg() failing when grouping with categorical \ 
data, multiple groupings, as_index=False, and a list of aggregations (GH52760)
Fixed regression in DataFrame.pivot() changing Index name of input object (GH52629)
Fixed regression in DataFrame.resample() raising on a DataFrame with no columns \ 
(GH52484)
Fixed regression in DataFrame.sort_values() not resetting index when DataFrame \ 
is already sorted and ignore_index=True (GH52553)
Fixed regression in MultiIndex.isin() raising TypeError for Generator (GH52568)
Fixed regression in Series.describe() showing RuntimeWarning for extension dtype \ 
Series with one element (GH52515)
Fixed regression when adding a new column to a DataFrame when the \ 
DataFrame.columns was a RangeIndex and the new key was hashable but not a scalar \ 
(GH52652)

Bug fixes

Bug in Series.dt.days that would overflow int32 number of days (GH52391)
Bug in arrays.DatetimeArray constructor returning an incorrect unit when passed \ 
a non-nanosecond numpy datetime array (GH52555)
Bug in ArrowExtensionArray with duration dtype overflowing when constructed from \ 
data containing numpy NaT (GH52843)
Bug in Series.dt.round() when passing a freq of equal or higher resolution \ 
compared to the Series would raise a ZeroDivisionError (GH52761)
Bug in Series.median() with ArrowDtype returning an approximate median (GH52679)
Bug in api.interchange.from_dataframe() was unnecessarily raising on categorical \ 
dtypes (GH49889)
Bug in api.interchange.from_dataframe() was unnecessarily raising on large \ 
string dtypes (GH52795)
Bug in pandas.testing.assert_series_equal() where check_dtype=False would still \ 
raise for datetime or timedelta types with different resolutions (GH52449)
Bug in read_csv() casting PyArrow datetimes to NumPy when \ 
dtype_backend="pyarrow" and parse_dates is set causing a performance \ 
bottleneck in the process (GH52546)
Bug in to_datetime() and to_timedelta() when trying to convert numeric data with \ 
a ArrowDtype (GH52425)
Bug in to_numeric() with errors='coerce' and dtype_backend='pyarrow' with \ 
ArrowDtype data (GH52588)
Bug in ArrowDtype.__from_arrow__() not respecting if dtype is explicitly given \ 
(GH52533)
Bug in DataFrame.describe() not respecting ArrowDtype in include and exclude \ 
(GH52570)
Bug in DataFrame.max() and related casting different Timestamp resolutions \ 
always to nanoseconds (GH52524)
Bug in Series.describe() not returning ArrowDtype with pyarrow.float64 type with \ 
numeric data (GH52427)
Bug in Series.dt.tz_localize() incorrectly localizing timestamps with ArrowDtype \ 
(GH52677)
Bug in arithmetic between np.datetime64 and np.timedelta64 NaT scalars with \ 
units always returning nanosecond resolution (GH52295)
Bug in logical and comparison operations between ArrowDtype and numpy masked \ 
types (e.g. "boolean") (GH52625)
Fixed bug in merge() when merging with ArrowDtype one one and a NumPy dtype on \ 
the other side (GH52406)
Fixed segfault in Series.to_numpy() with null[pyarrow] dtype (GH52443)

Other

DataFrame created from empty dicts had columns of dtype object. It is now a \ 
RangeIndex (GH52404)
Series created from empty dicts had index of dtype object. It is now a \ 
RangeIndex (GH52404)
Implemented Series.str.split() and Series.str.rsplit() for ArrowDtype with \ 
pyarrow.string (GH52401)
Implemented most str accessor methods for ArrowDtype with pyarrow.string (GH52401)
Supplying a non-integer hashable key that tests False in api.types.is_scalar() \ 
now raises a KeyError for RangeIndex.get_loc(), like it does for \ 
Index.get_loc(). Previously it raised an InvalidIndexError (GH52652).

Log message:
*: remove more references to Python 3.7

Log message:
*: restrict py-numpy users to 3.9+ in preparation for update

Log message:
*: GCC_REQD must always be appended to.

Log message:
math/py-pandas: note upstream pull request, and remove .orig file.

The .orig file would otherwise be installed, cauisng a PLIST
mismatch.

Log message:
math/py-pandas: fix aggregations.pyx so that this builds on NetBSD.

On NetBSD, signbit and sqrt cannot be imported from "libc", because
even though <math.h> is included, Python.h later includes
<cmath> which in turn #undef's all the relevant definitions
from <math.h>, forcing the use of the std:: variants of those
functions.  So ... re-do how we import signbit() and sqrt().