DataFrame.gt(other, axis='columns', level=None) [source] Wrapper for flexible comparison methods gt

class pandas.Panel4D(data=None, labels=None, items=None, major_axis=None, minor_axis=None, copy=False, dtype=None) [source] Panel4D is a 4-Dimensional named container very much like a Panel, but having 4 named dimensions. It is intended as a test bed for more N-Dimensional named containers. DEPRECATED. Panel4D is deprecated and will be removed in a future version. The recommended way to represent these types of n-dimensional data are with the xarray package. Pandas provides a .to_xarray() m

TimedeltaIndex.is_boolean() [source]

DataFrame.icol(i) [source] DEPRECATED. Use .iloc[:, i] instead

Resampler.prod(_method='prod', *args, **kwargs) [source] Compute prod of group values See also pandas.Series.groupby, pandas.DataFrame.groupby, pandas.Panel.groupby

DataFrameGroupBy.corrwith(other, axis=0, drop=False) Compute pairwise correlation between rows or columns of two DataFrame objects. Parameters: other : DataFrame axis : {0 or ?index?, 1 or ?columns?}, default 0 0 or ?index? to compute column-wise, 1 or ?columns? for row-wise drop : boolean, default False Drop missing indices from result, default returns union of all Returns: correls : Series

DataFrame.to_records(index=True, convert_datetime64=True) [source] Convert DataFrame to record array. Index will be put in the ?index? field of the record array if requested Parameters: index : boolean, default True Include index in resulting record array, stored in ?index? field convert_datetime64 : boolean, default True Whether to convert the index to datetime.datetime if it is a DatetimeIndex Returns: y : recarray

DataFrame.corrwith(other, axis=0, drop=False) [source] Compute pairwise correlation between rows or columns of two DataFrame objects. Parameters: other : DataFrame axis : {0 or ?index?, 1 or ?columns?}, default 0 0 or ?index? to compute column-wise, 1 or ?columns? for row-wise drop : boolean, default False Drop missing indices from result, default returns union of all Returns: correls : Series

DataFrame.to_panel() [source] Transform long (stacked) format (DataFrame) into wide (3D, Panel) format. Currently the index of the DataFrame must be a 2-level MultiIndex. This may be generalized later Returns: panel : Panel

Index.data return the data pointer of the underlying data