DatetimeIndex.tz_convert()

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.

TimedeltaIndex.size

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

Series.div()

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

Panel.ne()

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

TimedeltaIndex.delete()

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

MultiIndex.is_lexsorted_for_tuple()

MultiIndex.is_lexsorted_for_tuple(tup) [source] Return True if we are correctly lexsorted given the passed tuple

DatetimeIndex.inferred_type

DatetimeIndex.inferred_type

MultiIndex.summary()

MultiIndex.summary(name=None) [source]

CategoricalIndex.itemsize

CategoricalIndex.itemsize return the size of the dtype of the item of the underlying data

CategoricalIndex.is_all_dates

CategoricalIndex.is_all_dates = None