pandas.Series.corr

Series.corr(other, method='pearson', min_periods=None) [source]

Compute correlation with other Series, excluding missing values.

Parameters:	other : Series method : {‘pearson’, ‘kendall’, ‘spearman’} or callable pearson : standard correlation coefficient kendall : Kendall Tau correlation coefficient spearman : Spearman rank correlation callable: callable with input two 1d ndarray and returning a float .. versionadded:: 0.24.0 min_periods : int, optional Minimum number of observations needed to have a valid result
Returns:	correlation : float

Examples

>>> histogram_intersection = lambda a, b: np.minimum(a, b
... ).sum().round(decimals=1)
>>> s1 = pd.Series([.2, .0, .6, .2])
>>> s2 = pd.Series([.3, .6, .0, .1])
>>> s1.corr(s2, method=histogram_intersection)
0.3