grouping.py 文件源码

def hashable_rows(data, digits=None):
    '''
    We turn our array into integers, based on the precision 
    given by digits, and then put them in a hashable format. 

    Arguments
    ---------
    data:    (n,m) input array
    digits:  how many digits to add to hash, if data is floating point
             If none, TOL_MERGE will be turned into a digit count and used. 

    Returns
    ---------
    hashable:  (n) length array of custom data which can be sorted 
                or used as hash keys
    '''
    as_int   = float_to_int(data, digits)
    dtype    = np.dtype((np.void, as_int.dtype.itemsize * as_int.shape[1]))
    hashable = np.ascontiguousarray(as_int).view(dtype).reshape(-1)
    return hashable