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 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)