bundles / numpy 2.4.3 / numpy / ma / core / correlate

function

`numpy.ma.core:correlate`

source: /numpy/ma/core.py :8300

Signature

def correlate ( a , v , mode = valid , propagate_mask = True )

Summary

Cross-correlation of two 1-dimensional sequences.

Parameters

a, v : array_like: Input sequences.
mode : {'valid', 'same', 'full'}, optional: Refer to the np.convolve docstring. Note that the default is 'valid', unlike convolve, which uses 'full'.
propagate_mask : bool: If True, then a result element is masked if any masked element contributes towards it. If False, then a result element is only masked if no non-masked element contribute towards it

Returns

out : MaskedArray: Discrete cross-correlation of a and v.

Examples

Basic correlation:

a = np.ma.array([1, 2, 3])
v = np.ma.array([0, 1, 0])
np.ma.correlate(a, v, mode='valid')

Correlation with masked elements:

a = np.ma.array([1, 2, 3], mask=[False, True, False])
v = np.ma.array([0, 1, 0])
np.ma.correlate(a, v, mode='valid', propagate_mask=True)

Correlation with different modes and mixed array types:

a = np.ma.array([1, 2, 3])
v = np.ma.array([0, 1, 0])
np.ma.correlate(a, v, mode='full')

See also

numpy.correlate: Equivalent function in the top-level NumPy module.

Aliases

numpy.ma.correlate