Login Register

Rolling.apply()

Rolling.apply(func, args=(), kwargs={}) [source]

rolling function apply

Parameters:

func : function

Must produce a single value from an ndarray input *args and **kwargs are passed to the function

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.apply.html

doc_Pandas

2017-01-12 04:52:59

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.sum() Rolling.sum(*args, **kwargs) [source] rolling sum Parameters: how : string, default None (DEPRECATED) Method for down- or re-sampling Returns

Rolling.count() Rolling.count() [source] rolling count of number of non-NaN observations inside provided window. Returns: same type as input See also pandas.Ser

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

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