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Hello community,
here is the log from the commit of package python-pandas for openSUSE:Factory
checked in at 2021-05-05 20:39:39
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-pandas (Old)
and /work/SRC/openSUSE:Factory/.python-pandas.new.2988 (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-pandas"
Wed May 5 20:39:39 2021 rev:34 rq:890050 version:1.2.4
Changes:
--------
--- /work/SRC/openSUSE:Factory/python-pandas/python-pandas.changes
2021-03-12 13:31:12.914148730 +0100
+++ /work/SRC/openSUSE:Factory/.python-pandas.new.2988/python-pandas.changes
2021-05-05 20:39:40.610999712 +0200
@@ -1,0 +2,24 @@
+Mon May 3 01:33:01 UTC 2021 - Arun Persaud <a...@gmx.de>
+
+- update to version 1.2.4:
+ * Fixed regressions
+ + Fixed regression in DataFrame.sum() when min_count greater than
+ the DataFrame shape was passed resulted in a ValueError
+ (GH39738)
+ + Fixed regression in DataFrame.to_json() raising AttributeError
+ when run on PyPy (GH39837)
+ + Fixed regression in (in)equality comparison of pd.NaT with a
+ non-datetimelike numpy array returning a scalar instead of an
+ array (GH40722)
+ + Fixed regression in DataFrame.where() not returning a copy in
+ the case of an all True condition (GH39595)
+ + Fixed regression in DataFrame.replace() raising IndexError when
+ regex was a multi-key dictionary (GH39338)
+ + Fixed regression in repr of floats in an object column not
+ respecting float_format when printed in the console or outputted
+ through DataFrame.to_string(), DataFrame.to_html(), and
+ DataFrame.to_latex() (GH40024)
+ + Fixed regression in NumPy ufuncs such as np.add not passing
+ through all arguments for DataFrame (GH40662)
+
+-------------------------------------------------------------------
Old:
----
pandas-1.2.3.tar.gz
New:
----
pandas-1.2.4.tar.gz
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Other differences:
------------------
++++++ python-pandas.spec ++++++
--- /var/tmp/diff_new_pack.1yV6dm/_old 2021-05-05 20:39:41.746994837 +0200
+++ /var/tmp/diff_new_pack.1yV6dm/_new 2021-05-05 20:39:41.750994819 +0200
@@ -1,5 +1,5 @@
#
-# spec file for package python-pandas
+# spec file for package python-pandas-test
#
# Copyright (c) 2021 SUSE LLC
#
@@ -28,7 +28,7 @@
%bcond_with test
%endif
Name: python-pandas%{psuffix}
-Version: 1.2.3
+Version: 1.2.4
Release: 0
Summary: Python data structures for data analysis, time series, and
statistics
License: BSD-3-Clause
++++++ pandas-1.2.3.tar.gz -> pandas-1.2.4.tar.gz ++++++
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/PKG-INFO new/pandas-1.2.4/PKG-INFO
--- old/pandas-1.2.3/PKG-INFO 2021-03-02 10:48:07.583455300 +0100
+++ new/pandas-1.2.4/PKG-INFO 2021-04-12 18:01:31.548034000 +0200
@@ -1,6 +1,6 @@
Metadata-Version: 2.1
Name: pandas
-Version: 1.2.3
+Version: 1.2.4
Summary: Powerful data structures for data analysis, time series, and
statistics
Home-page: https://pandas.pydata.org
Maintainer: The PyData Development Team
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/doc/source/_static/css/pandas.css
new/pandas-1.2.4/doc/source/_static/css/pandas.css
--- old/pandas-1.2.3/doc/source/_static/css/pandas.css 2021-03-02
10:42:13.000000000 +0100
+++ new/pandas-1.2.4/doc/source/_static/css/pandas.css 2021-04-12
17:59:12.000000000 +0200
@@ -2,7 +2,7 @@
:root {
/* Use softer blue from bootstrap's default info color */
- --color-info: 23, 162, 184;
+ --pst-color-info: 23, 162, 184;
}
/* Getting started index page */
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/doc/source/whatsnew/index.rst
new/pandas-1.2.4/doc/source/whatsnew/index.rst
--- old/pandas-1.2.3/doc/source/whatsnew/index.rst 2021-03-02
10:43:35.000000000 +0100
+++ new/pandas-1.2.4/doc/source/whatsnew/index.rst 2021-04-12
17:59:12.000000000 +0200
@@ -16,6 +16,7 @@
.. toctree::
:maxdepth: 2
+ v1.2.4
v1.2.3
v1.2.2
v1.2.1
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/doc/source/whatsnew/v1.2.3.rst
new/pandas-1.2.4/doc/source/whatsnew/v1.2.3.rst
--- old/pandas-1.2.3/doc/source/whatsnew/v1.2.3.rst 2021-03-02
10:42:13.000000000 +0100
+++ new/pandas-1.2.4/doc/source/whatsnew/v1.2.3.rst 2021-04-12
17:57:35.000000000 +0200
@@ -29,4 +29,4 @@
Contributors
~~~~~~~~~~~~
-.. contributors:: v1.2.2..v1.2.3|HEAD
+.. contributors:: v1.2.2..v1.2.3
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/doc/source/whatsnew/v1.2.4.rst
new/pandas-1.2.4/doc/source/whatsnew/v1.2.4.rst
--- old/pandas-1.2.3/doc/source/whatsnew/v1.2.4.rst 1970-01-01
01:00:00.000000000 +0100
+++ new/pandas-1.2.4/doc/source/whatsnew/v1.2.4.rst 2021-04-12
17:57:35.000000000 +0200
@@ -0,0 +1,33 @@
+.. _whatsnew_124:
+
+What's new in 1.2.4 (April 12, 2021)
+------------------------------------
+
+These are the changes in pandas 1.2.4. See :ref:`release` for a full changelog
+including other versions of pandas.
+
+{{ header }}
+
+.. ---------------------------------------------------------------------------
+
+.. _whatsnew_124.regressions:
+
+Fixed regressions
+~~~~~~~~~~~~~~~~~
+
+- Fixed regression in :meth:`DataFrame.sum` when ``min_count`` greater than
the :class:`DataFrame` shape was passed resulted in a ``ValueError``
(:issue:`39738`)
+- Fixed regression in :meth:`DataFrame.to_json` raising ``AttributeError``
when run on PyPy (:issue:`39837`)
+- Fixed regression in (in)equality comparison of ``pd.NaT`` with a
non-datetimelike numpy array returning a scalar instead of an array
(:issue:`40722`)
+- Fixed regression in :meth:`DataFrame.where` not returning a copy in the case
of an all True condition (:issue:`39595`)
+- Fixed regression in :meth:`DataFrame.replace` raising ``IndexError`` when
``regex`` was a multi-key dictionary (:issue:`39338`)
+- Fixed regression in repr of floats in an ``object`` column not respecting
``float_format`` when printed in the console or outputted through
:meth:`DataFrame.to_string`, :meth:`DataFrame.to_html`, and
:meth:`DataFrame.to_latex` (:issue:`40024`)
+- Fixed regression in NumPy ufuncs such as ``np.add`` not passing through all
arguments for :class:`DataFrame` (:issue:`40662`)
+
+.. ---------------------------------------------------------------------------
+
+.. _whatsnew_124.contributors:
+
+Contributors
+~~~~~~~~~~~~
+
+.. contributors:: v1.2.3..v1.2.4|HEAD
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/pandas-1.2.3/pandas/_libs/src/ujson/python/objToJSON.c
new/pandas-1.2.4/pandas/_libs/src/ujson/python/objToJSON.c
--- old/pandas-1.2.3/pandas/_libs/src/ujson/python/objToJSON.c 2021-03-02
10:43:35.000000000 +0100
+++ new/pandas-1.2.4/pandas/_libs/src/ujson/python/objToJSON.c 2021-04-12
17:59:12.000000000 +0200
@@ -272,18 +272,6 @@
return ret;
}
-static int is_simple_frame(PyObject *obj) {
- PyObject *check = get_sub_attr(obj, "_mgr", "is_mixed_type");
- int ret = (check == Py_False);
-
- if (!check) {
- return 0;
- }
-
- Py_DECREF(check);
- return ret;
-}
-
static Py_ssize_t get_attr_length(PyObject *obj, char *attr) {
PyObject *tmp = PyObject_GetAttrString(obj, attr);
Py_ssize_t ret;
@@ -301,6 +289,17 @@
return ret;
}
+static int is_simple_frame(PyObject *obj) {
+ PyObject *mgr = PyObject_GetAttrString(obj, "_mgr");
+ if (!mgr) {
+ return 0;
+ }
+ int ret = (get_attr_length(mgr, "blocks") <= 1);
+
+ Py_DECREF(mgr);
+ return ret;
+}
+
static npy_int64 get_long_attr(PyObject *o, const char *attr) {
npy_int64 long_val;
PyObject *value = PyObject_GetAttrString(o, attr);
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/pandas/_libs/tslibs/nattype.pyx
new/pandas-1.2.4/pandas/_libs/tslibs/nattype.pyx
--- old/pandas-1.2.3/pandas/_libs/tslibs/nattype.pyx 2021-03-02
10:43:35.000000000 +0100
+++ new/pandas-1.2.4/pandas/_libs/tslibs/nattype.pyx 2021-04-12
17:59:12.000000000 +0200
@@ -124,6 +124,10 @@
result.fill(_nat_scalar_rules[op])
elif other.dtype.kind == "O":
result = np.array([PyObject_RichCompare(self, x, op) for x in
other])
+ elif op == Py_EQ:
+ result = np.zeros(other.shape, dtype=bool)
+ elif op == Py_NE:
+ result = np.ones(other.shape, dtype=bool)
else:
return NotImplemented
return result
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/pandas/_version.py
new/pandas-1.2.4/pandas/_version.py
--- old/pandas-1.2.3/pandas/_version.py 2021-03-02 10:48:07.583455300 +0100
+++ new/pandas-1.2.4/pandas/_version.py 2021-04-12 18:01:31.548034000 +0200
@@ -8,11 +8,11 @@
version_json = '''
{
- "date": "2021-03-02T09:43:36+0000",
+ "date": "2021-04-12T16:59:13+0100",
"dirty": false,
"error": null,
- "full-revisionid": "f2c8480af2f25efdbd803218b9d87980f416563e",
- "version": "1.2.3"
+ "full-revisionid": "2cb96529396d93b46abab7bbc73a208e708c642e",
+ "version": "1.2.4"
}
''' # END VERSION_JSON
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/pandas/core/arraylike.py
new/pandas-1.2.4/pandas/core/arraylike.py
--- old/pandas-1.2.3/pandas/core/arraylike.py 2021-03-02 10:43:35.000000000
+0100
+++ new/pandas-1.2.4/pandas/core/arraylike.py 2021-04-12 17:59:12.000000000
+0200
@@ -351,15 +351,17 @@
# * len(inputs) > 1 is doable when we know that we have
# aligned blocks / dtypes.
inputs = tuple(np.asarray(x) for x in inputs)
- result = getattr(ufunc, method)(*inputs)
+ result = getattr(ufunc, method)(*inputs, **kwargs)
elif self.ndim == 1:
# ufunc(series, ...)
inputs = tuple(extract_array(x, extract_numpy=True) for x in inputs)
result = getattr(ufunc, method)(*inputs, **kwargs)
else:
# ufunc(dataframe)
- if method == "__call__":
+ if method == "__call__" and not kwargs:
# for np.<ufunc>(..) calls
+ # kwargs cannot necessarily be handled block-by-block, so only
+ # take this path if there are no kwargs
mgr = inputs[0]._mgr
result = mgr.apply(getattr(ufunc, method))
else:
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/pandas/core/frame.py
new/pandas-1.2.4/pandas/core/frame.py
--- old/pandas-1.2.3/pandas/core/frame.py 2021-03-02 10:43:35.000000000
+0100
+++ new/pandas-1.2.4/pandas/core/frame.py 2021-04-12 17:59:12.000000000
+0200
@@ -8786,6 +8786,7 @@
**kwds,
):
+ min_count = kwds.get("min_count", 0)
assert filter_type is None or filter_type == "bool", filter_type
out_dtype = "bool" if filter_type == "bool" else None
@@ -8830,7 +8831,7 @@
data = self._get_bool_data()
return data
- if numeric_only is not None or axis == 0:
+ if (numeric_only is not None or axis == 0) and min_count == 0:
# For numeric_only non-None and axis non-None, we know
# which blocks to use and no try/except is needed.
# For numeric_only=None only the case with axis==0 and no object
@@ -8847,7 +8848,7 @@
# After possibly _get_data and transposing, we are now in the
# simple case where we can use BlockManager.reduce
- res, indexer = df._mgr.reduce(blk_func,
ignore_failures=ignore_failures)
+ res, _ = df._mgr.reduce(blk_func, ignore_failures=ignore_failures)
out = df._constructor(res).iloc[0]
if out_dtype is not None:
out = out.astype(out_dtype)
@@ -8875,14 +8876,15 @@
with np.errstate(all="ignore"):
result = func(values)
- if filter_type == "bool" and notna(result).all():
- result = result.astype(np.bool_)
- elif filter_type is None and is_object_dtype(result.dtype):
- try:
- result = result.astype(np.float64)
- except (ValueError, TypeError):
- # try to coerce to the original dtypes item by item if we can
- pass
+ if hasattr(result, "dtype"):
+ if filter_type == "bool" and notna(result).all():
+ result = result.astype(np.bool_)
+ elif filter_type is None and is_object_dtype(result.dtype):
+ try:
+ result = result.astype(np.float64)
+ except (ValueError, TypeError):
+ # try to coerce to the original dtypes item by item if we
can
+ pass
result = self._constructor_sliced(result, index=labels)
return result
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/pandas/core/internals/blocks.py
new/pandas-1.2.4/pandas/core/internals/blocks.py
--- old/pandas-1.2.3/pandas/core/internals/blocks.py 2021-03-02
10:43:35.000000000 +0100
+++ new/pandas-1.2.4/pandas/core/internals/blocks.py 2021-04-12
17:59:12.000000000 +0200
@@ -894,10 +894,20 @@
rb = [self if inplace else self.copy()]
for i, (src, dest) in enumerate(pairs):
+ convert = i == src_len # only convert once at the end
new_rb: List["Block"] = []
- for blk in rb:
- m = masks[i]
- convert = i == src_len # only convert once at the end
+
+ # GH-39338: _replace_coerce can split a block into
+ # single-column blocks, so track the index so we know
+ # where to index into the mask
+ for blk_num, blk in enumerate(rb):
+ if len(rb) == 1:
+ m = masks[i]
+ else:
+ mib = masks[i]
+ assert not isinstance(mib, bool)
+ m = mib[blk_num : blk_num + 1]
+
result = blk._replace_coerce(
to_replace=src,
value=dest,
@@ -1458,7 +1468,7 @@
raise ValueError("where must have a condition that is ndarray
like")
if cond.ravel("K").all():
- result = values
+ result = values.copy()
else:
# see if we can operate on the entire block, or need item-by-item
# or if we are a single block (ndim == 1)
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/pandas/core/nanops.py
new/pandas-1.2.4/pandas/core/nanops.py
--- old/pandas-1.2.3/pandas/core/nanops.py 2021-03-02 10:43:35.000000000
+0100
+++ new/pandas-1.2.4/pandas/core/nanops.py 2021-04-12 17:59:12.000000000
+0200
@@ -1,3 +1,5 @@
+from __future__ import annotations
+
import functools
import itertools
import operator
@@ -1368,7 +1370,7 @@
mask: Optional[np.ndarray],
shape: Tuple[int, ...],
min_count: int = 1,
-) -> float:
+) -> Union[np.ndarray, float]:
"""
Returns
-------
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/pandas/io/formats/format.py
new/pandas-1.2.4/pandas/io/formats/format.py
--- old/pandas-1.2.3/pandas/io/formats/format.py 2021-03-02
10:43:35.000000000 +0100
+++ new/pandas-1.2.4/pandas/io/formats/format.py 2021-04-12
17:59:12.000000000 +0200
@@ -1254,7 +1254,9 @@
float_format = get_option("display.float_format")
if float_format is None:
precision = get_option("display.precision")
- float_format = lambda x: f"{x: .{precision:d}f}"
+ float_format = lambda x: _trim_zeros_single_float(
+ f"{x: .{precision:d}f}"
+ )
else:
float_format = self.float_format
@@ -1305,7 +1307,7 @@
if not is_float_type[i] and leading_space:
fmt_values.append(f" {_format(v)}")
elif is_float_type[i]:
- fmt_values.append(_trim_zeros_single_float(float_format(v)))
+ fmt_values.append(float_format(v))
else:
if leading_space is False:
# False specifically, so that the default is
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/pandas/io/sql.py
new/pandas-1.2.4/pandas/io/sql.py
--- old/pandas-1.2.3/pandas/io/sql.py 2021-03-02 10:43:35.000000000 +0100
+++ new/pandas-1.2.4/pandas/io/sql.py 2021-04-12 17:59:12.000000000 +0200
@@ -5,6 +5,7 @@
from contextlib import contextmanager
from datetime import date, datetime, time
+from distutils.version import LooseVersion
from functools import partial
import re
from typing import Iterator, List, Optional, Union, overload
@@ -55,6 +56,16 @@
return False
+def _gt14() -> bool:
+ """
+ Check if sqlalchemy.__version__ is at least 1.4.0, when several
+ deprecations were made.
+ """
+ import sqlalchemy
+
+ return LooseVersion(sqlalchemy.__version__) >= LooseVersion("1.4.0")
+
+
def _convert_params(sql, params):
"""Convert SQL and params args to DBAPI2.0 compliant format."""
args = [sql]
@@ -715,7 +726,10 @@
def _execute_create(self):
# Inserting table into database, add to MetaData object
- self.table = self.table.tometadata(self.pd_sql.meta)
+ if _gt14():
+ self.table = self.table.to_metadata(self.pd_sql.meta)
+ else:
+ self.table = self.table.tometadata(self.pd_sql.meta)
self.table.create()
def create(self):
@@ -1409,9 +1423,17 @@
# Only check when name is not a number and name is not lower case
engine = self.connectable.engine
with self.connectable.connect() as conn:
- table_names = engine.table_names(
- schema=schema or self.meta.schema, connection=conn
- )
+ if _gt14():
+ from sqlalchemy import inspect
+
+ insp = inspect(conn)
+ table_names = insp.get_table_names(
+ schema=schema or self.meta.schema
+ )
+ else:
+ table_names = engine.table_names(
+ schema=schema or self.meta.schema, connection=conn
+ )
if name not in table_names:
msg = (
f"The provided table name '{name}' is not found exactly as
"
@@ -1426,9 +1448,15 @@
return self.meta.tables
def has_table(self, name, schema=None):
- return self.connectable.run_callable(
- self.connectable.dialect.has_table, name, schema or
self.meta.schema
- )
+ if _gt14():
+ import sqlalchemy as sa
+
+ insp = sa.inspect(self.connectable)
+ return insp.has_table(name, schema or self.meta.schema)
+ else:
+ return self.connectable.run_callable(
+ self.connectable.dialect.has_table, name, schema or
self.meta.schema
+ )
def get_table(self, table_name, schema=None):
schema = schema or self.meta.schema
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/pandas/plotting/_matplotlib/compat.py
new/pandas-1.2.4/pandas/plotting/_matplotlib/compat.py
--- old/pandas-1.2.3/pandas/plotting/_matplotlib/compat.py 2021-03-02
10:42:13.000000000 +0100
+++ new/pandas-1.2.4/pandas/plotting/_matplotlib/compat.py 2021-04-12
17:57:35.000000000 +0200
@@ -22,3 +22,4 @@
mpl_ge_3_1_0 = _mpl_version("3.1.0", operator.ge)
mpl_ge_3_2_0 = _mpl_version("3.2.0", operator.ge)
mpl_ge_3_3_0 = _mpl_version("3.3.0", operator.ge)
+mpl_ge_3_4_0 = _mpl_version("3.4.0", operator.ge)
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/pandas/plotting/_matplotlib/misc.py
new/pandas-1.2.4/pandas/plotting/_matplotlib/misc.py
--- old/pandas-1.2.3/pandas/plotting/_matplotlib/misc.py 2021-03-02
10:43:35.000000000 +0100
+++ new/pandas-1.2.4/pandas/plotting/_matplotlib/misc.py 2021-04-12
17:59:12.000000000 +0200
@@ -144,7 +144,9 @@
df = frame.drop(class_column, axis=1).apply(normalize)
if ax is None:
- ax = plt.gca(xlim=[-1, 1], ylim=[-1, 1])
+ ax = plt.gca()
+ ax.set_xlim(-1, 1)
+ ax.set_ylim(-1, 1)
to_plot: Dict[Label, List[List]] = {}
colors = get_standard_colors(
@@ -260,7 +262,8 @@
)
colors = dict(zip(classes, color_values))
if ax is None:
- ax = plt.gca(xlim=(-np.pi, np.pi))
+ ax = plt.gca()
+ ax.set_xlim(-np.pi, np.pi)
for i in range(n):
row = df.iloc[i].values
f = function(row)
@@ -440,7 +443,9 @@
n = len(series)
data = np.asarray(series)
if ax is None:
- ax = plt.gca(xlim=(1, n), ylim=(-1.0, 1.0))
+ ax = plt.gca()
+ ax.set_xlim(1, n)
+ ax.set_ylim(-1.0, 1.0)
mean = np.mean(data)
c0 = np.sum((data - mean) ** 2) / float(n)
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/pandas/plotting/_matplotlib/tools.py
new/pandas-1.2.4/pandas/plotting/_matplotlib/tools.py
--- old/pandas-1.2.3/pandas/plotting/_matplotlib/tools.py 2021-03-02
10:43:35.000000000 +0100
+++ new/pandas-1.2.4/pandas/plotting/_matplotlib/tools.py 2021-04-12
17:59:12.000000000 +0200
@@ -366,6 +366,11 @@
row_num = lambda x: x.rowNum
col_num = lambda x: x.colNum
+ if compat.mpl_ge_3_4_0():
+ is_first_col = lambda x: x.get_subplotspec().is_first_col()
+ else:
+ is_first_col = lambda x: x.is_first_col()
+
if nrows > 1:
try:
# first find out the ax layout,
@@ -397,7 +402,7 @@
# only the first column should get y labels -> set all other to
# off as we only have labels in the first column and we always
# have a subplot there, we can skip the layout test
- if ax.is_first_col():
+ if is_first_col(ax):
continue
if sharey or _has_externally_shared_axis(ax, "y"):
_remove_labels_from_axis(ax.yaxis)
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/pandas-1.2.3/pandas/tests/arrays/boolean/test_arithmetic.py
new/pandas-1.2.4/pandas/tests/arrays/boolean/test_arithmetic.py
--- old/pandas-1.2.3/pandas/tests/arrays/boolean/test_arithmetic.py
2021-03-02 10:43:35.000000000 +0100
+++ new/pandas-1.2.4/pandas/tests/arrays/boolean/test_arithmetic.py
2021-04-12 17:59:12.000000000 +0200
@@ -66,7 +66,10 @@
@pytest.mark.parametrize(
"opname",
[
- "floordiv",
+ pytest.param(
+ "floordiv",
+ marks=pytest.mark.xfail(reason="NumpyDev GH#40874", strict=False),
+ ),
"mod",
pytest.param(
"pow", marks=pytest.mark.xfail(reason="TODO follow int8 behaviour?
GH34686")
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/pandas-1.2.3/pandas/tests/arrays/masked/test_arithmetic.py
new/pandas-1.2.4/pandas/tests/arrays/masked/test_arithmetic.py
--- old/pandas-1.2.3/pandas/tests/arrays/masked/test_arithmetic.py
2021-03-02 10:43:35.000000000 +0100
+++ new/pandas-1.2.4/pandas/tests/arrays/masked/test_arithmetic.py
2021-04-12 17:59:12.000000000 +0200
@@ -3,6 +3,8 @@
import numpy as np
import pytest
+from pandas.compat.numpy import is_numpy_dev
+
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import ExtensionArray
@@ -49,6 +51,8 @@
def test_array_NA(data, all_arithmetic_operators):
if "truediv" in all_arithmetic_operators:
pytest.skip("division with pd.NA raises")
+ if "floordiv" in all_arithmetic_operators and is_numpy_dev:
+ pytest.skip("NumpyDev behavior GH#40874")
data, _ = data
op = tm.get_op_from_name(all_arithmetic_operators)
check_skip(data, all_arithmetic_operators)
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/pandas/tests/extension/test_boolean.py
new/pandas-1.2.4/pandas/tests/extension/test_boolean.py
--- old/pandas-1.2.3/pandas/tests/extension/test_boolean.py 2021-03-02
10:43:35.000000000 +0100
+++ new/pandas-1.2.4/pandas/tests/extension/test_boolean.py 2021-04-12
17:59:12.000000000 +0200
@@ -16,6 +16,8 @@
import numpy as np
import pytest
+from pandas.compat.numpy import is_numpy_dev
+
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays.boolean import BooleanDtype
@@ -139,6 +141,21 @@
with pytest.raises(exc):
op(s, other)
+ def test_arith_series_with_scalar(self, data, all_arithmetic_operators):
+ if "floordiv" in all_arithmetic_operators and is_numpy_dev:
+ pytest.skip("NumpyDev behavior GH#40874")
+ super().test_arith_series_with_scalar(data, all_arithmetic_operators)
+
+ def test_arith_series_with_array(self, data, all_arithmetic_operators):
+ if "floordiv" in all_arithmetic_operators and is_numpy_dev:
+ pytest.skip("NumpyDev behavior GH#40874")
+ super().test_arith_series_with_scalar(data, all_arithmetic_operators)
+
+ def test_divmod_series_array(self, data, data_for_twos):
+ if is_numpy_dev:
+ pytest.skip("NumpyDev behavior GH#40874")
+ super().test_divmod_series_array(data, data_for_twos)
+
def _check_divmod_op(self, s, op, other, exc=None):
# override to not raise an error
super()._check_divmod_op(s, op, other, None)
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/pandas-1.2.3/pandas/tests/frame/indexing/test_where.py
new/pandas-1.2.4/pandas/tests/frame/indexing/test_where.py
--- old/pandas-1.2.3/pandas/tests/frame/indexing/test_where.py 2021-03-02
10:43:35.000000000 +0100
+++ new/pandas-1.2.4/pandas/tests/frame/indexing/test_where.py 2021-04-12
17:59:12.000000000 +0200
@@ -653,3 +653,20 @@
expected.loc[0, :] = np.nan
tm.assert_equal(result, expected)
+
+
+def test_where_copies_with_noop(frame_or_series):
+ # GH-39595
+ result = frame_or_series([1, 2, 3, 4])
+ expected = result.copy()
+ col = result[0] if frame_or_series is DataFrame else result
+
+ where_res = result.where(col < 5)
+ where_res *= 2
+
+ tm.assert_equal(result, expected)
+
+ where_res = result.where(col > 5, [1, 2, 3, 4])
+ where_res *= 2
+
+ tm.assert_equal(result, expected)
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/pandas-1.2.3/pandas/tests/frame/methods/test_replace.py
new/pandas-1.2.4/pandas/tests/frame/methods/test_replace.py
--- old/pandas-1.2.3/pandas/tests/frame/methods/test_replace.py 2021-03-02
10:43:35.000000000 +0100
+++ new/pandas-1.2.4/pandas/tests/frame/methods/test_replace.py 2021-04-12
17:59:12.000000000 +0200
@@ -644,6 +644,28 @@
tm.assert_frame_equal(res, expec)
assert res.a.dtype == np.object_
+ @pytest.mark.parametrize(
+ "to_replace", [{"": np.nan, ",": ""}, {",": "", "": np.nan}]
+ )
+ def test_joint_simple_replace_and_regex_replace(self, to_replace):
+ # GH-39338
+ df = DataFrame(
+ {
+ "col1": ["1,000", "a", "3"],
+ "col2": ["a", "", "b"],
+ "col3": ["a", "b", "c"],
+ }
+ )
+ result = df.replace(regex=to_replace)
+ expected = DataFrame(
+ {
+ "col1": ["1000", "a", "3"],
+ "col2": ["a", np.nan, "b"],
+ "col3": ["a", "b", "c"],
+ }
+ )
+ tm.assert_frame_equal(result, expected)
+
@pytest.mark.parametrize("metachar", ["[]", "()", r"\d", r"\w", r"\s"])
def test_replace_regex_metachar(self, metachar):
df = DataFrame({"a": [metachar, "else"]})
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/pandas/tests/frame/test_reductions.py
new/pandas-1.2.4/pandas/tests/frame/test_reductions.py
--- old/pandas-1.2.3/pandas/tests/frame/test_reductions.py 2021-03-02
10:43:35.000000000 +0100
+++ new/pandas-1.2.4/pandas/tests/frame/test_reductions.py 2021-04-12
17:59:12.000000000 +0200
@@ -835,6 +835,13 @@
expected = Series([0, 0, np.nan], dtype="m8[ns]", index=idx)
tm.assert_series_equal(result, expected)
+ def test_sum_nanops_min_count(self):
+ # https://github.com/pandas-dev/pandas/issues/39738
+ df = DataFrame({"x": [1, 2, 3], "y": [4, 5, 6]})
+ result = df.sum(min_count=10)
+ expected = Series([np.nan, np.nan], index=["x", "y"])
+ tm.assert_series_equal(result, expected)
+
def test_sum_object(self, float_frame):
values = float_frame.values.astype(int)
frame = DataFrame(values, index=float_frame.index,
columns=float_frame.columns)
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/pandas/tests/frame/test_ufunc.py
new/pandas-1.2.4/pandas/tests/frame/test_ufunc.py
--- old/pandas-1.2.3/pandas/tests/frame/test_ufunc.py 2021-03-02
10:43:35.000000000 +0100
+++ new/pandas-1.2.4/pandas/tests/frame/test_ufunc.py 2021-04-12
17:59:12.000000000 +0200
@@ -1,3 +1,5 @@
+from functools import partial
+
import numpy as np
import pytest
@@ -55,6 +57,42 @@
tm.assert_frame_equal(result, expected)
+@pytest.mark.parametrize(
+ "func,arg,expected",
+ [
+ (np.add, 1, [2, 3, 4, 5]),
+ (
+ partial(np.add, where=[[False, True], [True, False]]),
+ np.array([[1, 1], [1, 1]]),
+ [0, 3, 4, 0],
+ ),
+ (np.power, np.array([[1, 1], [2, 2]]), [1, 2, 9, 16]),
+ (np.subtract, 2, [-1, 0, 1, 2]),
+ (
+ partial(np.negative, where=np.array([[False, True], [True,
False]])),
+ None,
+ [0, -2, -3, 0],
+ ),
+ ],
+)
+def test_ufunc_passes_args(func, arg, expected, request):
+ # GH#40662
+ arr = np.array([[1, 2], [3, 4]])
+ df = pd.DataFrame(arr)
+ result_inplace = np.zeros_like(arr)
+ # 1-argument ufunc
+ if arg is None:
+ result = func(df, out=result_inplace)
+ else:
+ result = func(df, arg, out=result_inplace)
+
+ expected = np.array(expected).reshape(2, 2)
+ tm.assert_numpy_array_equal(result_inplace, expected)
+
+ expected = pd.DataFrame(expected)
+ tm.assert_frame_equal(result, expected)
+
+
@pytest.mark.parametrize("dtype_a", dtypes)
@pytest.mark.parametrize("dtype_b", dtypes)
def test_binary_input_aligns_columns(dtype_a, dtype_b):
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/pandas/tests/io/formats/test_format.py
new/pandas-1.2.4/pandas/tests/io/formats/test_format.py
--- old/pandas-1.2.3/pandas/tests/io/formats/test_format.py 2021-03-02
10:43:35.000000000 +0100
+++ new/pandas-1.2.4/pandas/tests/io/formats/test_format.py 2021-04-12
17:59:12.000000000 +0200
@@ -2021,6 +2021,21 @@
result = repr(series)
assert result == expected
+ @pytest.mark.parametrize(
+ "float_format,expected",
+ [
+ ("{:,.0f}".format, "0 1,000\n1 test\ndtype: object"),
+ ("{:.4f}".format, "0 1000.0000\n1 test\ndtype: object"),
+ ],
+ )
+ def test_repr_float_format_in_object_col(self, float_format, expected):
+ # GH#40024
+ df = Series([1000.0, "test"])
+ with option_context("display.float_format", float_format):
+ result = repr(df)
+
+ assert result == expected
+
def test_dict_entries(self):
df = DataFrame({"A": [{"a": 1, "b": 2}]})
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/pandas/tests/io/formats/test_to_html.py
new/pandas-1.2.4/pandas/tests/io/formats/test_to_html.py
--- old/pandas-1.2.3/pandas/tests/io/formats/test_to_html.py 2021-03-02
10:43:35.000000000 +0100
+++ new/pandas-1.2.4/pandas/tests/io/formats/test_to_html.py 2021-04-12
17:59:12.000000000 +0200
@@ -878,3 +878,29 @@
</tbody>
</table>"""
assert result == expected
+
+
+def test_to_html_float_format_object_col():
+ # GH#40024
+ df = DataFrame(data={"x": [1000.0, "test"]})
+ result = df.to_html(float_format=lambda x: f"{x:,.0f}")
+ expected = """<table border="1" class="dataframe">
+ <thead>
+ <tr style="text-align: right;">
+ <th></th>
+ <th>x</th>
+ </tr>
+ </thead>
+ <tbody>
+ <tr>
+ <th>0</th>
+ <td>1,000</td>
+ </tr>
+ <tr>
+ <th>1</th>
+ <td>test</td>
+ </tr>
+ </tbody>
+</table>"""
+
+ assert result == expected
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/pandas-1.2.3/pandas/tests/io/formats/test_to_latex.py
new/pandas-1.2.4/pandas/tests/io/formats/test_to_latex.py
--- old/pandas-1.2.3/pandas/tests/io/formats/test_to_latex.py 2021-03-02
10:43:35.000000000 +0100
+++ new/pandas-1.2.4/pandas/tests/io/formats/test_to_latex.py 2021-04-12
17:59:12.000000000 +0200
@@ -121,6 +121,24 @@
)
assert result == expected
+ def test_to_latex_float_format_object_col(self):
+ # GH#40024
+ ser = Series([1000.0, "test"])
+ result = ser.to_latex(float_format="{:,.0f}".format)
+ expected = _dedent(
+ r"""
+ \begin{tabular}{ll}
+ \toprule
+ {} & 0 \\
+ \midrule
+ 0 & 1,000 \\
+ 1 & test \\
+ \bottomrule
+ \end{tabular}
+ """
+ )
+ assert result == expected
+
def test_to_latex_empty_tabular(self):
df = DataFrame()
result = df.to_latex()
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/pandas/tests/io/test_html.py
new/pandas-1.2.4/pandas/tests/io/test_html.py
--- old/pandas-1.2.3/pandas/tests/io/test_html.py 2021-03-02
10:43:35.000000000 +0100
+++ new/pandas-1.2.4/pandas/tests/io/test_html.py 2021-04-12
17:59:12.000000000 +0200
@@ -66,6 +66,7 @@
@td.skip_if_no("bs4")
+@td.skip_if_no("html5lib")
def test_bs4_version_fails(monkeypatch, datapath):
import bs4
@@ -85,6 +86,7 @@
@td.skip_if_no("bs4")
@td.skip_if_no("lxml")
+@td.skip_if_no("html5lib")
def test_same_ordering(datapath):
filename = datapath("io", "data", "html", "valid_markup.html")
dfs_lxml = read_html(filename, index_col=0, flavor=["lxml"])
@@ -95,7 +97,7 @@
@pytest.mark.parametrize(
"flavor",
[
- pytest.param("bs4", marks=td.skip_if_no("bs4")),
+ pytest.param("bs4", marks=[td.skip_if_no("bs4"),
td.skip_if_no("html5lib")]),
pytest.param("lxml", marks=td.skip_if_no("lxml")),
],
scope="class",
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/pandas/tests/io/test_sql.py
new/pandas-1.2.4/pandas/tests/io/test_sql.py
--- old/pandas-1.2.3/pandas/tests/io/test_sql.py 2021-03-02
10:43:35.000000000 +0100
+++ new/pandas-1.2.4/pandas/tests/io/test_sql.py 2021-04-12
17:59:12.000000000 +0200
@@ -44,10 +44,11 @@
import pandas._testing as tm
import pandas.io.sql as sql
-from pandas.io.sql import read_sql_query, read_sql_table
+from pandas.io.sql import _gt14, read_sql_query, read_sql_table
try:
import sqlalchemy
+ from sqlalchemy import inspect
from sqlalchemy.ext import declarative
from sqlalchemy.orm import session as sa_session
import sqlalchemy.schema
@@ -1331,7 +1332,11 @@
pandasSQL = sql.SQLDatabase(temp_conn)
pandasSQL.to_sql(temp_frame, "temp_frame")
- assert temp_conn.has_table("temp_frame")
+ if _gt14():
+ insp = inspect(temp_conn)
+ assert insp.has_table("temp_frame")
+ else:
+ assert temp_conn.has_table("temp_frame")
def test_drop_table(self):
temp_conn = self.connect()
@@ -1343,11 +1348,18 @@
pandasSQL = sql.SQLDatabase(temp_conn)
pandasSQL.to_sql(temp_frame, "temp_frame")
- assert temp_conn.has_table("temp_frame")
+ if _gt14():
+ insp = inspect(temp_conn)
+ assert insp.has_table("temp_frame")
+ else:
+ assert temp_conn.has_table("temp_frame")
pandasSQL.drop_table("temp_frame")
- assert not temp_conn.has_table("temp_frame")
+ if _gt14():
+ assert not insp.has_table("temp_frame")
+ else:
+ assert not temp_conn.has_table("temp_frame")
def test_roundtrip(self):
self._roundtrip()
@@ -1689,9 +1701,10 @@
tm.assert_frame_equal(result, df)
def _get_index_columns(self, tbl_name):
- from sqlalchemy.engine import reflection
+ from sqlalchemy import inspect
+
+ insp = inspect(self.conn)
- insp = reflection.Inspector.from_engine(self.conn)
ixs = insp.get_indexes(tbl_name)
ixs = [i["column_names"] for i in ixs]
return ixs
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/pandas-1.2.3/pandas/tests/plotting/frame/test_frame.py
new/pandas-1.2.4/pandas/tests/plotting/frame/test_frame.py
--- old/pandas-1.2.3/pandas/tests/plotting/frame/test_frame.py 2021-03-02
10:43:35.000000000 +0100
+++ new/pandas-1.2.4/pandas/tests/plotting/frame/test_frame.py 2021-04-12
17:59:12.000000000 +0200
@@ -697,7 +697,9 @@
_check_plot_works(df.plot.scatter, x=x, y=y)
- def test_plot_scatter_with_c(self):
+ def test_plot_scatter_with_c(self, request):
+ from pandas.plotting._matplotlib.compat import mpl_ge_3_4_0
+
df = DataFrame(
np.random.randn(6, 4),
index=list(string.ascii_letters[:6]),
@@ -709,9 +711,10 @@
# default to Greys
assert ax.collections[0].cmap.name == "Greys"
- # n.b. there appears to be no public method
- # to get the colorbar label
- assert ax.collections[0].colorbar._label == "z"
+ if mpl_ge_3_4_0():
+ assert ax.collections[0].colorbar.ax.get_ylabel() == "z"
+ else:
+ assert ax.collections[0].colorbar._label == "z"
cm = "cubehelix"
ax = df.plot.scatter(x="x", y="y", c="z", colormap=cm)
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/pandas/tests/plotting/test_misc.py
new/pandas-1.2.4/pandas/tests/plotting/test_misc.py
--- old/pandas-1.2.3/pandas/tests/plotting/test_misc.py 2021-03-02
10:43:35.000000000 +0100
+++ new/pandas-1.2.4/pandas/tests/plotting/test_misc.py 2021-04-12
17:59:12.000000000 +0200
@@ -71,10 +71,12 @@
def test_autocorrelation_plot(self):
from pandas.plotting import autocorrelation_plot
- _check_plot_works(autocorrelation_plot, series=self.ts)
- _check_plot_works(autocorrelation_plot, series=self.ts.values)
+ # Ensure no UserWarning when making plot
+ with tm.assert_produces_warning(None):
+ _check_plot_works(autocorrelation_plot, series=self.ts)
+ _check_plot_works(autocorrelation_plot, series=self.ts.values)
- ax = autocorrelation_plot(self.ts, label="Test")
+ ax = autocorrelation_plot(self.ts, label="Test")
self._check_legend_labels(ax, labels=["Test"])
def test_lag_plot(self):
@@ -132,8 +134,9 @@
from pandas.plotting import andrews_curves
df = iris
-
- _check_plot_works(andrews_curves, frame=df, class_column="Name")
+ # Ensure no UserWarning when making plot
+ with tm.assert_produces_warning(None):
+ _check_plot_works(andrews_curves, frame=df, class_column="Name")
rgba = ("#556270", "#4ECDC4", "#C7F464")
ax = _check_plot_works(
@@ -280,7 +283,9 @@
from pandas.plotting import radviz
df = iris
- _check_plot_works(radviz, frame=df, class_column="Name")
+ # Ensure no UserWarning when making plot
+ with tm.assert_produces_warning(None):
+ _check_plot_works(radviz, frame=df, class_column="Name")
rgba = ("#556270", "#4ECDC4", "#C7F464")
ax = _check_plot_works(radviz, frame=df, class_column="Name",
color=rgba)
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/pandas/tests/scalar/test_nat.py
new/pandas-1.2.4/pandas/tests/scalar/test_nat.py
--- old/pandas-1.2.3/pandas/tests/scalar/test_nat.py 2021-03-02
10:43:35.000000000 +0100
+++ new/pandas-1.2.4/pandas/tests/scalar/test_nat.py 2021-04-12
17:59:12.000000000 +0200
@@ -575,6 +575,47 @@
op(other, NaT)
+@pytest.mark.parametrize(
+ "other",
+ [
+ np.array(["foo"] * 2, dtype=object),
+ np.array([2, 3], dtype="int64"),
+ np.array([2.0, 3.5], dtype="float64"),
+ ],
+ ids=["str", "int", "float"],
+)
+def test_nat_comparisons_invalid_ndarray(other):
+ # GH#40722
+ expected = np.array([False, False])
+ result = NaT == other
+ tm.assert_numpy_array_equal(result, expected)
+ result = other == NaT
+ tm.assert_numpy_array_equal(result, expected)
+
+ expected = np.array([True, True])
+ result = NaT != other
+ tm.assert_numpy_array_equal(result, expected)
+ result = other != NaT
+ tm.assert_numpy_array_equal(result, expected)
+
+ for symbol, op in [
+ ("<=", operator.le),
+ ("<", operator.lt),
+ (">=", operator.ge),
+ (">", operator.gt),
+ ]:
+ msg = f"'{symbol}' not supported between"
+
+ with pytest.raises(TypeError, match=msg):
+ op(NaT, other)
+
+ if other.dtype == np.dtype("object"):
+ # uses the reverse operator, so symbol changes
+ msg = None
+ with pytest.raises(TypeError, match=msg):
+ op(other, NaT)
+
+
def test_compare_date():
# GH#39151 comparing NaT with date object is deprecated
# See also: tests.scalar.timestamps.test_comparisons::test_compare_date
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/pandas.egg-info/PKG-INFO
new/pandas-1.2.4/pandas.egg-info/PKG-INFO
--- old/pandas-1.2.3/pandas.egg-info/PKG-INFO 2021-03-02 10:48:07.000000000
+0100
+++ new/pandas-1.2.4/pandas.egg-info/PKG-INFO 2021-04-12 18:01:31.000000000
+0200
@@ -1,6 +1,6 @@
Metadata-Version: 2.1
Name: pandas
-Version: 1.2.3
+Version: 1.2.4
Summary: Powerful data structures for data analysis, time series, and
statistics
Home-page: https://pandas.pydata.org
Maintainer: The PyData Development Team
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.3/pandas.egg-info/SOURCES.txt
new/pandas-1.2.4/pandas.egg-info/SOURCES.txt
--- old/pandas-1.2.3/pandas.egg-info/SOURCES.txt 2021-03-02
10:48:07.000000000 +0100
+++ new/pandas-1.2.4/pandas.egg-info/SOURCES.txt 2021-04-12
18:01:31.000000000 +0200
@@ -214,6 +214,7 @@
doc/source/whatsnew/v1.2.1.rst
doc/source/whatsnew/v1.2.2.rst
doc/source/whatsnew/v1.2.3.rst
+doc/source/whatsnew/v1.2.4.rst
doc/sphinxext/README.rst
doc/sphinxext/announce.py
doc/sphinxext/contributors.py
