SciPy 0.6.0 API Documentation Generated by Endo, 2007-10-17

Class SciPy.​sparse.​sparse.​csr_matrix

Compressed sparse row matrix
This can be instantiated in several ways:
  - csr_matrix(d)
    with a dense matrix d

  - csr_matrix(s)
    with another sparse matrix s (sugar for .tocsr())

  - csr_matrix((M, N), [nzmax, dtype])
    to construct a container, where (M, N) are dimensions and
    nzmax, dtype are optional, defaulting to nzmax=sparse.NZMAX
    and dtype='d'.

  - csr_matrix((data, ij), [dims=(M, N), nzmax=nzmax])
    where data, ij satisfy:
        a[ij[0, k], ij[1, k]] = data[k]

  - csr_matrix((data, col, ptr), [dims=(M, N)])
    standard CSR representation

Contents:
• Methods

Method summary

• __add__(self, other)
• __getattr__(self, attr)
• __getitem__(self, key)
• __init__(self, arg1, dims = None, nzmax = NZMAX, dtype = None, copy = False, check = True)
• __pow__(self, other)
• __setitem__(self, key, val)
• __sub__(self, other)
• __truediv__(self, other)
• conj(self, copy = False)
• ensure_sorted_indices(self, inplace = False)
• matmat(self, other)
• matvec(self, other)
• prune(self)
• rowcol(self, ind)
• toarray(self)
• tocoo(self)
• tocsc(self)
• tocsr(self, copy = False)
• transpose(self, copy = False)

Methods

• __add__(self, other)
• __getattr__(self, attr)
• __getitem__(self, key)
• __init__(self, arg1, dims = None, nzmax = NZMAX, dtype = None, copy = False, check = True)
• __pow__(self, other)
• __setitem__(self, key, val)
• __sub__(self, other)
• __truediv__(self, other)
• conj(self, copy = False)
• ensure_sorted_indices(self, inplace = False)

  Return a copy of this matrix where the column indices are sorted

• matmat(self, other)
• matvec(self, other)
• prune(self)

  Eliminate non-zero entries, leaving space for at least newnzmax elements.

• rowcol(self, ind)
• toarray(self)
• tocoo(self)
• tocsc(self)
• tocsr(self, copy = False)
• transpose(self, copy = False)