Pandas Series: corr() function
Compute correlation
The corr() function is used to compute correlation with other Series, excluding missing values.
Syntax:
Series.corr(self, other, method='pearson', min_periods=None)
Parameters:
Name | Description | Type/Default Value | Required / Optional |
---|---|---|---|
other | Series with which to compute the correlation. | Series | Required |
method |
|
{‘pearson’, ‘kendall’, ‘spearman’} or callable | Required |
min_periods | Minimum number of observations needed to have a valid result. | int | Optional |
Returns: float
Correlation with other.
Example:
Download the Pandas Series Notebooks from here.
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