corrcoef(x, y=None, rowvar=True, bias=<no value>, allow_masked=True, ddof=<no value>)
Except for the handling of missing data this function does the same as numpy.corrcoef
. For more details and examples, see numpy.corrcoef
.
This function accepts but discards arguments :None:None:`bias` and :None:None:`ddof`. This is for backwards compatibility with previous versions of this function. These arguments had no effect on the return values of the function and can be safely ignored in this and previous versions of numpy.
A 1-D or 2-D array containing multiple variables and observations. Each row of x represents a variable, and each column a single observation of all those variables. Also see :None:None:`rowvar` below.
An additional set of variables and observations. y has the same shape as x.
If :None:None:`rowvar` is True (default), then each row represents a variable, with observations in the columns. Otherwise, the relationship is transposed: each column represents a variable, while the rows contain observations.
Has no effect, do not use.
If True, masked values are propagated pair-wise: if a value is masked in x, the corresponding value is masked in y. If False, raises an exception. Because :None:None:`bias` is deprecated, this argument needs to be treated as keyword only to avoid a warning.
Has no effect, do not use.
Return Pearson product-moment correlation coefficients.
cov
Estimate the covariance matrix.
numpy.corrcoef
Equivalent function in top-level NumPy module.
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