CategoricalIndex.dropna(how='any') [source] Return Index without NA/NaN values Parameters: how : {?any?, ?all?}, default ?any? If the Index is a MultiIndex, drop the value when any or all levels are NaN. Returns: valid : Index

DatetimeIndex.is_integer() [source]

CategoricalIndex.sym_diff(*args, **kwargs) [source]

DatetimeIndex.to_datetime(dayfirst=False) [source]

CategoricalIndex.size return the number of elements in the underlying data

DatetimeIndex.is_monotonic_increasing return if the index is monotonic increasing (only equal or increasing) values.

CategoricalIndex.shift(periods=1, freq=None) [source] Shift Index containing datetime objects by input number of periods and DateOffset Returns: shifted : Index

Index.name = None

Panel4D.tshift(periods=1, freq=None, axis='major') [source]

Panel.rmod(other, axis=0) [source] Modulo of series and other, element-wise (binary operator rmod). Equivalent to other % panel. Parameters: other : DataFrame or Panel axis : {items, major_axis, minor_axis} Axis to broadcast over Returns: Panel See also Panel.mod