MultiIndex.get_duplicates() [source]

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

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,

Series.imag

DataFrame.rpow(other, axis='columns', level=None, fill_value=None) [source] Exponential power of dataframe and other, element-wise (binary operator rpow). Equivalent to other ** dataframe, but with support to substitute a fill_value for missing data in one of the inputs. Parameters: other : Series, DataFrame, or constant axis : {0, 1, ?index?, ?columns?} For Series input, axis to match Series index on fill_value : None or float value, default None Fill missing (NaN) values with this val

CategoricalIndex.is_lexsorted_for_tuple(tup) [source]

DataFrame.is_copy = None

Resampler.std(ddof=1, *args, **kwargs) [source] Compute standard deviation of groups, excluding missing values Parameters: ddof : integer, default 1 degrees of freedom

TimedeltaIndex.is_all_dates

Panel4D.bfill(axis=None, inplace=False, limit=None, downcast=None) [source] Synonym for NDFrame.fillna(method=?bfill?)