TimedeltaIndex.delete(loc) [source] Make a new DatetimeIndex with passed location(s) deleted. Parameters: loc: int, slice or array of ints Indicate which sub-arrays to remove. Returns: new_index : TimedeltaIndex

Panel.ne(other, axis=None) [source] Wrapper for comparison method ne

Series.div(other, level=None, fill_value=None, axis=0) [source] Floating division of series and other, element-wise (binary operator truediv). Equivalent to series / other, but with support to substitute a fill_value for missing data in one of the inputs. Parameters: other: Series or scalar value fill_value : None or float value, default None (NaN) Fill missing (NaN) values with this value. If both Series are missing, the result will be missing level : int or name Broadcast across a lev

classmethod SparseSeries.from_coo(A, dense_index=False) [source] Create a SparseSeries from a scipy.sparse.coo_matrix. New in version 0.16.0. Parameters: A : scipy.sparse.coo_matrix dense_index : bool, default False If False (default), the SparseSeries index consists of only the coords of the non-null entries of the original coo_matrix. If True, the SparseSeries index consists of the full sorted (row, col) coordinates of the coo_matrix. Returns: s : SparseSeries Examples >>>

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

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

DatetimeIndex.tz_convert(tz) [source] Convert tz-aware DatetimeIndex from one time zone to another (using pytz/dateutil) Parameters: tz : string, pytz.timezone, dateutil.tz.tzfile or None Time zone for time. Corresponding timestamps would be converted to time zone of the TimeSeries. None will remove timezone holding UTC time. Returns: normalized : DatetimeIndex Raises: TypeError If DatetimeIndex is tz-naive.

Series.rename_axis(mapper, axis=0, copy=True, inplace=False) [source] Alter index and / or columns using input function or functions. A scaler or list-like for mapper will alter the Index.name or MultiIndex.names attribute. A function or dict for mapper will alter the labels. Function / dict values must be unique (1-to-1). Labels not contained in a dict / Series will be left as-is. Parameters: mapper : scalar, list-like, dict-like or function, optional axis : int or string, default 0 copy

Panel4D.swapaxes(axis1, axis2, copy=True) [source] Interchange axes and swap values axes appropriately Returns: y : same as input

Series.mode() [source] Returns the mode(s) of the dataset. Empty if nothing occurs at least 2 times. Always returns Series even if only one value. Parameters: sort : bool, default True If True, will lexicographically sort values, if False skips sorting. Result ordering when sort=False is not defined. Returns: modes : Series (sorted)