Matej Cepl
f3f936b788
- 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* WARNING: The xlwt package for writing old-style .xls excel files is no longer maintained.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
9 lines
165 B
Plaintext
9 lines
165 B
Plaintext
<constraints>
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<hardware>
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<physicalmemory>
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<size unit="M">8000</size>
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</physicalmemory>
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<processors>4</processors>
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</hardware>
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</constraints>
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