- 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no longer maintained.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
