def set_selected_columns(self, indices, source):
    """
    copies all columns of source into some columns of self.
    <indices> must be a row vector. Its elements are float32's representing
    integers, e.g. "34.0" means the integer "34". after this call, for all
    r,c, self[r,indices[c]]=source[r,c]. This returns self.
    Negative indices are interpreted in the usual Python way: all elements
    of <indices> had better be in the range [-self.shape[1], self.shape[1]-1].
    This does bounds checking, but out of bounds indices do not raise an
    exception (because the programmer was lazy). Instead, they result in NaN
    values in <self>.
    """

    err_code = _eigenmat.setSelectedRows(self.p_mat, source.p_mat, indices.p_mat)
    if err_code:
      raise generate_exception(err_code)

    return self

    copies all columns of source into some columns of self.
    <indices> must be a row vector. Its elements are float32's representing
    integers, e.g. "34.0" means the integer "34". after this call, for all
    r,c, self[r,indices[c]]=source[r,c]. This returns self.
    Negative indices are interpreted in the usual Python way: all elements
    of <indices> had better be in the range [-self.shape[1], self.shape[1]-1].
    This does bounds checking, but out of bounds indices do not raise an
    exception (because the programmer was lazy). Instead, they result in NaN
    values in <self>.
    
eigenmat/eigenmat.py