`); SciPySciPy Installing User Guide API reference Building from source Development Release notes GitHubGitHub TwitterTwitter Installing User Guide API reference Building from source Development Release notes GitHubGitHub TwitterTwitterSection Navigationscipyscipy.clusterscipy.constantsscipy.datasetsscipy.differentiatescipy.fftscipy.fftpackscipy.integratescipy.interpolatescipy.ioscipy.linalgscipy.ndimagescipy.odrscipy.optimizescipy.signalscipy.sparsescipy.spatialscipy.specialscipy..." />`); SciPySciPy Installing User Guide API reference Building from source Development Release notes GitHubGitHub TwitterTwitter Installing User Guide API reference Building from source Development Release notes GitHubGitHub TwitterTwitterSection Navigationscipyscipy.clusterscipy.constantsscipy.datasetsscipy.differentiatescipy.fftscipy.fftpackscipy.integratescipy.interpolatescipy.ioscipy.linalgscipy.ndimagescipy.odrscipy.optimizescipy.signalscipy.sparsescipy.spatialscipy.specialscipy..." /> find — SciPy v1.15.3 Manual
scipy.sparse.

find#

scipy.sparse.find(A)[source]#

Return the indices and values of the nonzero elements of a matrix

Parameters:
Adense or sparse array or matrix

Matrix whose nonzero elements are desired.

Returns:
(I,J,V)tuple of arrays

I,J, and V contain the row indices, column indices, and values of the nonzero entries.

Examples

>>> from scipy.sparse import csr_array, find
>>> A = csr_array([[7.0, 8.0, 0],[0, 0, 9.0]])
>>> find(A)
(array([0, 0, 1], dtype=int32),
 array([0, 1, 2], dtype=int32),
 array([ 7.,  8.,  9.]))