pandas.bdate_range(start=None, end=None, periods=None, freq='B', tz=None, normalize=True, name=None, closed=None, **kwargs) [source] Return a fixed frequency datetime index, with business day as the default frequency Parameters: start : string or datetime-like, default None Left bound for generating dates end : string or datetime-like, default None Right bound for generating dates periods : integer or None, default None If None, must specify start and end freq : string or DateOffset,

MultiIndex.is_floating() [source]

CategoricalIndex.item() [source] return the first element of the underlying data as a python scalar

DatetimeIndex.ndim return the number of dimensions of the underlying data, by definition 1

Index.sort_values(return_indexer=False, ascending=True) [source] Return sorted copy of Index

Index.is_object() [source]

DataFrameGroupBy.plot Class implementing the .plot attribute for groupby objects

MultiIndex.get_duplicates() [source]

CategoricalIndex.as_ordered(*args, **kwargs) [source] Sets the Categorical to be ordered Parameters: inplace : boolean (default: False) Whether or not to set the ordered attribute inplace or return a copy of this categorical with ordered set to True

Panel4D.take(indices, axis=0, convert=True, is_copy=True, **kwargs) [source] Analogous to ndarray.take Parameters: indices : list / array of ints axis : int, default 0 convert : translate neg to pos indices (default) is_copy : mark the returned frame as a copy Returns: taken : type of caller