scipy.sparse.csr_array.todense#
- csr_array.todense(order=None, out=None)[source]#
Return a dense representation of this sparse array/matrix.
- Parameters:
- order{‘C’, ‘F’}, optional
Whether to store multi-dimensional data in C (row-major) or Fortran (column-major) order in memory. The default is ‘None’, which provides no ordering guarantees. Cannot be specified in conjunction with the out argument.
- outndarray, 2-D, optional
If specified, uses this array (or
numpy.matrix
) as the output buffer instead of allocating a new array to return. The provided array must have the same shape and dtype as the sparse array/matrix on which you are calling the method.
- Returns:
- arrnumpy.matrix, 2-D
A NumPy matrix object with the same shape and containing the same data represented by the sparse array/matrix, with the requested memory order. If out was passed and was an array (rather than a
numpy.matrix
), it will be filled with the appropriate values and returned wrapped in anumpy.matrix
object that shares the same memory.