forked from pool/python-pandas
- Update to version 1.0.1
+ 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
This commit is contained in:
@@ -1,3 +1,30 @@
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-------------------------------------------------------------------
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Fri Feb 21 05:56:43 UTC 2020 - Steve Kowalik <steven.kowalik@suse.com>
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- Update to version 1.0.1
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+ Enhancements
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* Using Numba in rolling.apply and expanding.apply
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* Defining custom windows for rolling operations
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* Converting to Markdown
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+ Experimental new features
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* Experimental NA scalar to denote missing values
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* Dedicated string data type
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* Boolean data type with missing values support
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* convert_dtypes method to ease use of supported extension dtypes
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+ Backwards incompatible API changes
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* Avoid using names from MultiIndex.levels
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* New repr for IntervalArray
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* DataFrame.rename now only accepts one positional argument
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* Extended verbose info output for DataFrame
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* pandas.array() inference changes
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* arrays.IntegerArray now uses pandas.NA
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* arrays.IntegerArray comparisons return arrays.BooleanArray
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* By default Categorical.min() now returns the minimum instead of np.nan
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* Default dtype of empty pandas.Series
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* Result dtype inference changes for resample operations
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+ Many, many fixed regressions
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- Add Jinja2 and xsel to BuildRequires
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-------------------------------------------------------------------
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Tue Jan 14 12:28:49 UTC 2020 - Tomáš Chvátal <tchvatal@suse.com>
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