DataFrame.
corr
Compute pairwise correlation of columns, excluding NA/null values.
pearson : standard correlation coefficient
spearman : Spearman rank correlation
See also
Series.corr
Notes
There are behavior differences between Koalas and pandas.
the method argument only accepts ‘pearson’, ‘spearman’
the data should not contain NaNs. Koalas will return an error.
Koalas doesn’t support the following argument(s).
min_periods argument is not supported
Examples
>>> df = ks.DataFrame([(.2, .3), (.0, .6), (.6, .0), (.2, .1)], ... columns=['dogs', 'cats']) >>> df.corr('pearson') dogs cats dogs 1.000000 -0.851064 cats -0.851064 1.000000
>>> df.corr('spearman') dogs cats dogs 1.000000 -0.948683 cats -0.948683 1.000000