These bugs have been fixed in this release, and motivated changing the default value of ordered.With NumPy 1.15 and pandas 0.23.1 or earlier, numpy.all() will no longer reduce over every axis.Accessing a level that has a duplicate name by name still raises an error ( GH19029 ).Tests relying on these data files will be skipped when using pandas.test().
GH19320 ). In pandas 0.22 and earlier, comparing a Series holding datetimes and datetime.date objects would coerce the datetime.date to a datetime before comapring. This was inconsistent with Python, NumPy, and DatetimeIndex, which never consider a datetime and datetime.date equal. Previously, none of the available orient values guaranteed the preservation of dtypes and index names, amongst other metadata. Later keyword arguments may now refer to earlier ones if the argument is a callable. See the. This enables merging DataFrame instances on a combination of index levels. When grouping by multiple categorical columns, this means you get the cartesian product of all the. This is similar to DataFame.apply(). This parameter, if True allows one to send a np.ndarray to the applied function. In a future version the default will be changed to False, sending a Series. GH5071, GH20584 ). Use limitareainside to fill only NaNs surrounded by valid values or use limitareaoutside to fill only NaN s. The method has now gained a keyword join to control the manner of alignment, see examples below and here. Previously, calls to pipe were diverted to the mean method ( GH17905 ). This format supports exporting strings with lengths up to 2,000,000 characters ( GH16450 ). Pandas will use the dicts insertion order, when creating a Series or. For more details see Deprecate Panel documentation. GH13563, GH18324 ). If the return shape did not match, a Series with lists was returned. The current behavior is the same as the previous (sorting), but now a warning is issued when sort is not specified and the non-concatenation axis is not aligned ( GH4588 ). Behavior should remain consistent for downstream objects, such as Categorical ( GH18790 ). Sm Has Thown A Generic Pyton Exception Update Categories IfThis could potentially lead to the ordered parameter unintentionally being changed from True to False when users attempt to update categories if ordered is not explicitly specified, as it would silently default to False. ![]() Had the default value for ordered remained as False, the converted Categorical would have become unordered, despite orderedFalse never being explicitly specified. To change the value of ordered, explicitly pass it to the new dtype, e.g. CategoricalDtype(categorieslist(cbad), orderedFalse).
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