pandas.api.extensions.ExtensionArray._hash_pandas_object#

ExtensionArray._hash_pandas_object(*, encoding, hash_key, categorize)[source]#

Hook for hash_pandas_object.

Default is to use the values returned by _values_for_factorize.

Parameters:
encodingstr

Encoding for data & key when strings.

hash_keystr

Hash_key for string key to encode.

categorizebool

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

Returns:
np.ndarray[uint64]

Examples

>>> pd.array([1, 2])._hash_pandas_object(encoding='utf-8',
...                                      hash_key="1000000000000000",
...                                      categorize=False
...                                      )
array([ 6238072747940578789, 15839785061582574730], dtype=uint64)