reshape(self, shape, order='C', copy=False)
The new shape should be compatible with the original shape.
Read the elements using this index order. 'C' means to read and write the elements using C-like index order; e.g., read entire first row, then second row, etc. 'F' means to read and write the elements using Fortran-like index order; e.g., read entire first column, then second column, etc.
Indicates whether or not attributes of self should be copied whenever possible. The degree to which attributes are copied varies depending on the type of sparse matrix being used.
A sparse matrix with the given :None:None:`shape`, not necessarily of the same format as the current object.
Gives a new shape to a sparse matrix without changing its data.
numpy.matrix.reshape
NumPy's implementation of 'reshape' for matrices
The following pages refer to to this document either explicitly or contain code examples using this.
scipy.sparse._base.spmatrix.set_shape
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