Series.dt.total_seconds()

Series.dt.total_seconds(*args, **kwargs) [source] Total duration of each element expressed in seconds. New in version 0.17.0.

MultiIndex.size

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

DataFrame.bool()

DataFrame.bool() [source] Return the bool of a single element PandasObject. This must be a boolean scalar value, either True or False. Raise a ValueError if the PandasObject does not have exactly 1 element, or that element is not boolean

CategoricalIndex.asof_locs()

CategoricalIndex.asof_locs(where, mask) [source] where : array of timestamps mask : array of booleans where data is not NA

CategoricalIndex.identical()

CategoricalIndex.identical(other) [source] Similar to equals, but check that other comparable attributes are also equal

CategoricalIndex.names

CategoricalIndex.names

Series.dt.is_quarter_start

Series.dt.is_quarter_start Logical indicating if first day of quarter (defined by frequency)

Series.dt.nanosecond

Series.dt.nanosecond The nanoseconds of the datetime

option_context()

class pandas.option_context(*args) [source] Context manager to temporarily set options in the with statement context. You need to invoke as option_context(pat, val, [(pat, val), ...]). Examples >>> with option_context('display.max_rows', 10, 'display.max_columns', 5): ...

Series.select()

Series.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