__init__(nbrows, nbcols)
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block_shapes()
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Returns list with shapes of blocks in this BlockMatrix |
col_block_sizes([copy])
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Returns array with col-block sizes |
coo_data()
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Returns data array of matrix. |
copy([deep])
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Makes a copy of this BlockMatrix |
copy_structure()
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Makes a copy of the structure of this BlockMatrix. |
copyfrom(other[, deep])
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Copies entries of other matrix into this matrix. |
copyto(other[, deep])
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Copies entries of this BlockMatrix into other. |
diagonal([k])
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dot(other)
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Ordinary dot product |
get_block(row, col)
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get_block_column_index(index)
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Returns block-column idx from matrix column index. |
get_block_mask([copy])
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get_block_row_index(index)
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Returns block-row idx from matrix row index. |
get_col_size(col)
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get_row_size(row)
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getcol(j)
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Returns vector of column j |
getrow(i)
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Returns vector of column i |
has_undefined_col_sizes()
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Indicates if the matrix has block-columns with undefined dimensions |
has_undefined_row_sizes()
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Indicates if the matrix has block-rows with undefined dimensions |
is_col_size_defined(col)
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is_empty_block(idx, jdx)
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Indicates if a block is None |
is_row_size_defined(row)
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mean([axis, dtype, out])
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nonzero()
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reset_bcol(jdx)
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Resets all blocks in selected block-column to None |
reset_brow(idx)
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Resets all blocks in selected block-row to None |
row_block_sizes([copy])
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Returns array with row-block sizes |
set_block(row, col, value)
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set_col_size(col, size)
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set_row_size(row, size)
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setdiag(values[, k])
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sum([axis, dtype, out])
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toarray([order, out])
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Returns a numpy.ndarray representation of this matrix. |
tobsr([blocksize, copy])
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tocoo([copy])
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Converts this matrix to COOrdinate format. |
tocsc([copy])
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Converts this matrix to Compressed Sparse Column format. |
tocsr([copy])
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Converts this matrix to Compressed Sparse Row format. |
todia([copy])
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tolil([copy])
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tostring([order])
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transpose([axes, copy])
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Creates a transpose copy of the BlockMatrix. |