- 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)
OBS-URL: https://build.opensuse.org/request/show/920383
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=64
- 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)
OBS-URL: https://build.opensuse.org/request/show/911851
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=62
- Update to version 1.2.2
* https://pandas.pydata.org/docs/whatsnew/v1.2.2.html
* fixed regressions and bugfixes
- Update to version 1.2.1
* https://pandas.pydata.org/docs/whatsnew/v1.2.1.html
* fixed regressions and bugfixes
* Calling NumPy ufuncs on non-aligned DataFrames
* The deprecated attributes _AXIS_NAMES and _AXIS_NUMBERS of
DataFrame and Series will no longer show up in dir or inspect.
getmembers calls (GH38740)
* Bumped minimum fastparquet version to 0.4.0 to avoid
AttributeError from numba (GH38344)
* Bumped minimum pymysql version to 0.8.1 to avoid test failures
(GH38344)
* Added reference to backwards incompatible check_freq arg of
testing.assert_frame_equal() and testing.assert_series_equal()
in pandas 1.1.0 whats new (GH34050)
- Update to version 1.2.0
* https://pandas.pydata.org/docs/whatsnew/v1.2.0.html
* WARNING:
The xlwt package for writing old-style .xls excel files is
no longer maintained. The xlrd package is now only for reading
old-style .xls files.
Previously, the default argument engine=None to read_excel()
would result in using the xlrd engine in many cases, including
new Excel 2007+ (.xlsx) files. If openpyxl is installed, many
of these cases will now default to using the openpyxl engine.
See the read_excel() documentation for more details.
Thus, it is strongly encouraged to install openpyxl to read
Excel 2007+ (.xlsx) files. Please do not report issues when
using ``xlrd`` to read ``.xlsx`` files. This is no longer
supported, switch to using openpyxl instead.
Attempting to use the xlwt engine will raise a FutureWarning
unless the option io.excel.xls.writer is set to "xlwt". While
this option is now deprecated and will also raise a
FutureWarning, it can be globally set and the warning
suppressed. Users are recommended to write .xlsx files using
the openpyxl engine instead.
Enhancements
* Optionally disallow duplicate labels
* Passing arguments to fsspec backends
* Support for binary file handles in to_csv
* Support for short caption and table position in to_latex
* Change in default floating precision for read_csv and
read_table
* Experimental nullable data types for float data
* Index/column name preservation when aggregating
* GroupBy supports EWM operations directly
Deprecations
* https://pandas.pydata.org/docs/whatsnew/v1.2.0.html#deprecations
- Skip python36 build: New minimum supported Python is 3.7.1
- Only Suggest instead of Recommend optional dependencies. Nobody
wants to pull in all of those packages by default.
- Remove pandas-pytest.ini
- Rework test deselection
- Limit to 4 pytest-xdist workers, as collection consumes a lot of
memory
OBS-URL: https://build.opensuse.org/request/show/872216
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=56
- specfile:
* updated versions of some requirements, require numpy during build
* removed pandas-pr34991-npconstructor.patch, included upstream
* removed sed commands that are not needed anymore
* skip test to see if pandas is installed
- update to version 1.1.1:
* Fixed regressions
+ 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 (GH35439)
+ Fixed regression in Series.truncate() when trying to truncate a
single-element series (GH35544)
+ Fixed regression where DataFrame.to_numpy() would raise a
RuntimeError for mixed dtypes when converting to str (GH35455)
+ Fixed regression where read_csv() would raise a ValueError when
pandas.options.mode.use_inf_as_na was set to True (GH35493)
+ Fixed regression where pandas.testing.assert_series_equal()
would raise an error when non-numeric dtypes were passed with
check_exact=True (GH35446)
+ Fixed regression in .groupby(..).rolling(..) where column
selection was ignored (GH35486)
+ Fixed regression where DataFrame.interpolate() would raise a
TypeError when the DataFrame was empty (GH35598)
+ Fixed regression in DataFrame.shift() with axis=1 and
heterogeneous dtypes (GH35488)
+ Fixed regression in DataFrame.diff() with read-only data
(GH35559)
+ Fixed regression in .groupby(..).rolling(..) where a segfault
would occur with center=True and an odd number of values
OBS-URL: https://build.opensuse.org/request/show/832629
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-pandas?expand=0&rev=29
- Skip test_raw_roundtrip on i586
- Update to version 1.0.5
* Fixed regressions
+ Fix regression in read_parquet() when reading from file-like objects (GH34467).
+ Fix regression in reading from public S3 buckets (GH34626).
Note this disables the ability to read Parquet files from
directories on S3 again (GH26388, GH34632), which was added
in the 1.0.4 release, but is now targeted for pandas 1.1.0.
+ Fixed regression in replace() raising an AssertionError when replacing values in an extension dtype with values of a different dtype (GH34530)
* Bug fixes
+ Fixed building from source with Python 3.8 fetching the wrong version of NumPy
OBS-URL: https://build.opensuse.org/request/show/817948
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-pandas?expand=0&rev=27
- Update to version 1.0.5
* Fixed regressions
+ Fix regression in read_parquet() when reading from file-like objects (GH34467).
+ Fix regression in reading from public S3 buckets (GH34626).
Note this disables the ability to read Parquet files from
directories on S3 again (GH26388, GH34632), which was added
in the 1.0.4 release, but is now targeted for pandas 1.1.0.
+ Fixed regression in replace() raising an AssertionError when replacing values in an extension dtype with values of a different dtype (GH34530)
* Bug fixes
+ Fixed building from source with Python 3.8 fetching the wrong version of NumPy
OBS-URL: https://build.opensuse.org/request/show/816736
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=43
+ Enhancements
* Using Numba in rolling.apply and expanding.apply
* Defining custom windows for rolling operations
* Converting to Markdown
+ Experimental new features
* Experimental NA scalar to denote missing values
* Dedicated string data type
* Boolean data type with missing values support
* convert_dtypes method to ease use of supported extension dtypes
+ Backwards incompatible API changes
* Avoid using names from MultiIndex.levels
* New repr for IntervalArray
* DataFrame.rename now only accepts one positional argument
* Extended verbose info output for DataFrame
* pandas.array() inference changes
* arrays.IntegerArray now uses pandas.NA
* arrays.IntegerArray comparisons return arrays.BooleanArray
* By default Categorical.min() now returns the minimum instead of np.nan
* Default dtype of empty pandas.Series
* Result dtype inference changes for resample operations
+ Many, many fixed regressions
- Add Jinja2 and xsel to BuildRequires
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=27
- Update to version 0.25.3
+ Support Python 3.8
+ Bug fixes
> Indexing
* Fix regression in DataFrame.reindex() not following the limit argument
* Fix regression in RangeIndex.get_indexer() for decreasing RangeIndex
where target values may be improperly identified as missing/present
> I/O
* Fix regression in notebook display where <th> tags were missing for
DataFrame.index values
* Regression in to_csv() where writing a Series or DataFrame indexed by
an IntervalIndex would incorrectly raise a TypeError
* Fix to_csv() with ExtensionArray with list-like values
> Groupby/resample/rolling
* Bug incorrectly raising an IndexError when passing a list of quantiles
to pandas.core.groupby.DataFrameGroupBy.quantile()
* Bug in pandas.core.groupby.GroupBy.shift(),
pandas.core.groupby.GroupBy.bfill() and
pandas.core.groupby.GroupBy.ffill() where timezone information would
be dropped
* Bug in DataFrameGroupBy.quantile() where NA values in the grouping
could cause segfaults or incorrect results
OBS-URL: https://build.opensuse.org/request/show/747290
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-pandas?expand=0&rev=21
+ Support Python 3.8
+ Bug fixes
> Indexing
* Fix regression in DataFrame.reindex() not following the limit argument
* Fix regression in RangeIndex.get_indexer() for decreasing RangeIndex
where target values may be improperly identified as missing/present
> I/O
* Fix regression in notebook display where <th> tags were missing for
DataFrame.index values
* Regression in to_csv() where writing a Series or DataFrame indexed by
an IntervalIndex would incorrectly raise a TypeError
* Fix to_csv() with ExtensionArray with list-like values
> Groupby/resample/rolling
* Bug incorrectly raising an IndexError when passing a list of quantiles
to pandas.core.groupby.DataFrameGroupBy.quantile()
* Bug in pandas.core.groupby.GroupBy.shift(),
pandas.core.groupby.GroupBy.bfill() and
pandas.core.groupby.GroupBy.ffill() where timezone information would
be dropped
* Bug in DataFrameGroupBy.quantile() where NA values in the grouping
could cause segfaults or incorrect results
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=23
