CategoricalIndex.reorder_categories(*args, **kwargs) [source] Reorders categories as specified in new_categories. new_categories need to include all old categories and no new category items. Parameters: new_categories : Index-like The categories in new order. ordered : boolean, optional Whether or not the categorical is treated as a ordered categorical. If not given, do not change the ordered information. inplace : boolean (default: False) Whether or not to reorder the categories inpl

DataFrame.iteritems() [source] Iterator over (column name, Series) pairs. See also iterrows Iterate over DataFrame rows as (index, Series) pairs. itertuples Iterate over DataFrame rows as namedtuples of the values.

Panel4D.at Fast label-based scalar accessor Similarly to loc, at provides label based scalar lookups. You can also set using these indexers.

Series.dt.tz

Index.inferred_type = None

Panel.add_prefix(prefix) [source] Concatenate prefix string with panel items names. Parameters: prefix : string Returns: with_prefix : type of caller

DatetimeIndex.order(return_indexer=False, ascending=True) [source] Return sorted copy of Index DEPRECATED: use Index.sort_values()

Panel.bfill(axis=None, inplace=False, limit=None, downcast=None) [source] Synonym for NDFrame.fillna(method=?bfill?)

Panel.replace(to_replace=None, value=None, inplace=False, limit=None, regex=False, method='pad', axis=None) [source] Replace values given in ?to_replace? with ?value?. Parameters: to_replace : str, regex, list, dict, Series, numeric, or None str or regex: str: string exactly matching to_replace will be replaced with value regex: regexs matching to_replace will be replaced with value list of str, regex, or numeric: First, if to_replace and value are both lists, they must be the same

Panel4D.ge(other, axis=None) [source] Wrapper for comparison method ge