MultiIndex.dtype

MultiIndex.dtype = None

DatetimeIndex.base

DatetimeIndex.base return the base object if the memory of the underlying data is shared

Expanding.median()

Expanding.median(**kwargs) [source] expanding median Parameters: how : string, default ?median? (DEPRECATED) Method for down- or re-sampling Returns: same type as input See also pandas.Series.expanding, pandas.DataFrame.expanding

Window.mean()

Window.mean(*args, **kwargs) [source] window mean Parameters: how : string, default None (DEPRECATED) Method for down- or re-sampling Returns: same type as input See also pandas.Series.window, pandas.DataFrame.window

CategoricalIndex.all()

CategoricalIndex.all(other=None) [source]

DatetimeIndex.asi8

DatetimeIndex.asi8

Series.dt.second

Series.dt.second The seconds of the datetime

Expanding.mean()

Expanding.mean(*args, **kwargs) [source] expanding mean Parameters: how : string, default None (DEPRECATED) Method for down- or re-sampling Returns: same type as input See also pandas.Series.expanding, pandas.DataFrame.expanding

DataFrame.cumprod()

DataFrame.cumprod(axis=None, skipna=True, *args, **kwargs) [source] Return cumulative product over requested axis. Parameters: axis : {index (0), columns (1)} skipna : boolean, default True Exclude NA/null values. If an entire row/column is NA, the result will be NA Returns: cumprod : Series

Series.add_prefix()

Series.add_prefix(prefix) [source] Concatenate prefix string with panel items names. Parameters: prefix : string Returns: with_prefix : type of caller