bigframes.pandas.DataFrame.corr#

DataFrame.corr(method='pearson', min_periods=None, numeric_only=False) → DataFrame[source]#

Compute pairwise correlation of columns, excluding NA/null values.

Examples:

>>> df = bpd.DataFrame({'A': [1, 2, 3],
...                    'B': [400, 500, 600],
...                    'C': [0.8, 0.4, 0.9]})
>>> df.corr(numeric_only=True)
          A         B         C
A       1.0       1.0  0.188982
B       1.0       1.0  0.188982
C  0.188982  0.188982       1.0

[3 rows x 3 columns]

Parameters:

• method (string, default "pearson") Correlation method to use - currently only pearson is supported.

• min_periods (int, default None) The minimum number of observations needed to return a result. Non-default values are not yet supported, so a result will be returned for at least two observations.

• numeric_only (bool, default False) Include only float, int, boolean, decimal data.

Returns:

Correlation matrix.

Return type:

bigframes.pandas.DataFrame