Login Register

Rolling.var()

Rolling.var(ddof=1, *args, **kwargs) [source]

rolling variance

Parameters:

ddof : int, default 1

Delta Degrees of Freedom. The divisor used in calculations is N - ddof, where N represents the number of elements.

Returns:

same type as input

See also

pandas.Series.rolling, pandas.DataFrame.rolling

Links:

http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.core.window.Rolling.var.html

doc_Pandas

2017-01-12 04:53:05

Comments

Leave a Comment

Please login to continue.

Popular Articles

Series.rolling() Series.rolling(window, min_periods=None, freq=None, center=False, win_type=None, on=None, axis=0) [source] Provides rolling window calculcations.

Rolling.skew() Rolling.skew(**kwargs) [source] Unbiased rolling skewness Returns: same type as input See also pandas.Series.rolling, pandas.DataFrame.rolling

DataFrame.rolling() DataFrame.rolling(window, min_periods=None, freq=None, center=False, win_type=None, on=None, axis=0) [source] Provides rolling window calculcatio

Rolling.cov() Rolling.cov(other=None, pairwise=None, ddof=1, **kwargs) [source] rolling sample covariance Parameters: other : Series, DataFrame, or ndarray, o

Rolling.max() Rolling.max(*args, **kwargs) [source] rolling maximum Parameters: how : string, default ?max? (DEPRECATED) Method for down- or re-sampling Re