pandas.core.window.ewm.ExponentialMovingWindow.corr#
- ExponentialMovingWindow.corr(other=None, pairwise=None, **kwargs)[source]#
- Calculate the ewm (exponential weighted moment) sample correlation. - Parameters
- otherSeries or DataFrame, optional
- If not supplied then will default to self and produce pairwise output. 
- pairwisebool, default None
- If False then only matching columns between self and other will be used and the output will be a DataFrame. If True then all pairwise combinations will be calculated and the output will be a MultiIndex DataFrame in the case of DataFrame inputs. In the case of missing elements, only complete pairwise observations will be used. 
- **kwargs
- For NumPy compatibility and will not have an effect on the result. 
 
- Returns
- Series or DataFrame
- Return type is the same as the original object with - np.float64dtype.
 
 - See also - pandas.Series.ewm
- Calling ewm with Series data. 
- pandas.DataFrame.ewm
- Calling ewm with DataFrames. 
- pandas.Series.corr
- Aggregating corr for Series. 
- pandas.DataFrame.corr
- Aggregating corr for DataFrame.