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# scipy.sparse.triu

`scipy.sparse.``triu`(A, k=0, format=None)

  Return the upper triangular portion of a matrix in sparse format

  Returns the elements on or above the k-th diagonal of the matrix A.
    - k = 0 corresponds to the main diagonal
    - k > 0 is above the main diagonal
    - k < 0 is below the main diagonal

  Parameters: | A : dense or sparse matrix Matrix whose upper trianglar portion is desired. k : integer The bottom-most diagonal of the upper triangle. format : string Sparse format of the result, e.g. format=”csr”, etc.
  Returns: | L : sparse matrix Upper triangular portion of A in sparse format.

  See also

  `tril`
    lower triangle in sparse format

  Examples

      >>> from scipy.sparse import csr_matrix
      >>> A = csr_matrix( [[1,2,0,0,3],[4,5,0,6,7],[0,0,8,9,0]], dtype='int32' )
      >>> A.todense()
      matrix([[1, 2, 0, 0, 3],
              [4, 5, 0, 6, 7],
              [0, 0, 8, 9, 0]])
      >>> triu(A).todense()
      matrix([[1, 2, 0, 0, 3],
              [0, 5, 0, 6, 7],
              [0, 0, 8, 9, 0]])
      >>> triu(A).nnz
      8
      >>> triu(A, k=1).todense()
      matrix([[0, 2, 0, 0, 3],
              [0, 0, 0, 6, 7],
              [0, 0, 0, 9, 0]])
      >>> triu(A, k=-1).todense()
      matrix([[1, 2, 0, 0, 3],
              [4, 5, 0, 6, 7],
              [0, 0, 8, 9, 0]])
      >>> triu(A, format='csc')
      <3x5 sparse matrix of type '<type 'numpy.int32'>'
              with 8 stored elements in Compressed Sparse Column format>

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