pandas.util.hash_array

pandas.util.hash_array(vals, encoding='utf8', hash_key='0123456789123456', categorize=True)[source]

Given a 1d array, return an array of deterministic integers.

Parameters:

vals:ndarray or ExtensionArray

encoding:str, default ‘utf8’

Encoding for data & key when strings.

hash_key:str, default _default_hash_key

Hash_key for string key to encode.

categorize:bool, default True

Whether to first categorize object arrays before hashing. This is more efficient when the array contains duplicate values.

Returns:

ndarray[np.uint64, ndim=1]

Hashed values, same length as the vals.

Examples

>>> pd.util.hash_array(np.array([1, 2, 3]))
array([ 6238072747940578789, 15839785061582574730,  2185194620014831856],
  dtype=uint64)