def broadcast_indices(x, minv, ndim, axis):
    """Calculate index values to properly broadcast index array within data array.

    See usage in interp.
    """
    ret = []
    for dim in range(ndim):
        if dim == axis:
            ret.append(minv)
        else:
            broadcast_slice = [np.newaxis] * ndim
            broadcast_slice[dim] = slice(None)
            dim_inds = np.arange(x.shape[dim])
            ret.append(dim_inds[tuple(broadcast_slice)])
    return tuple(ret)
def broadcast_indices ( x , minv , ndim , axis ) : ret = [ ] for dim in range ( ndim ) : if dim == axis : ret . append ( minv ) else : broadcast_slice = [ np . newaxis ] * ndim broadcast_slice [ dim ] = slice ( None ) dim_inds = np . arange ( x . shape [ dim ] ) ret . append ( dim_inds [ tuple ( broadcast_slice ) ] ) return tuple ( ret )
Calculate index values to properly broadcast index array within data array.

    See usage in interp.