DataFrame.select(crit, axis=0) [source] Return data corresponding to axis labels matching criteria Parameters: crit : function To be called on each index (label). Should return True or False axis : int Returns: selection : type of caller

Series.last_valid_index() [source] Return label for last non-NA/null value

DataFrameGroupBy.take(indices, axis=0, convert=True, is_copy=True, **kwargs) 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

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

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

DatetimeIndex.to_datetime(dayfirst=False) [source]

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

DatetimeIndex.is_integer() [source]

Panel4D.to_pickle(path) [source] Pickle (serialize) object to input file path. Parameters: path : string File path

Index.is_monotonic_decreasing return if the index is monotonic decreasing (only equal or decreasing) values.