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:

valsndarray or ExtensionArray

encodingstr, default ‘utf8’

Encoding for data & key when strings.

hash_keystr, default _default_hash_key

Hash_key for string key to encode.

categorizebool, default True

Whether to first categorize object arrays before hashing. This is moreefficient 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)