pandas.util.hash_pandas_object

pandas.util.hash_pandas_object(obj, index=True, encoding='utf8', hash_key='0123456789123456', categorize=True)[source]

Return a data hash of the Index/Series/DataFrame.

Parameters:

obj:Index, Series, or DataFrame

index:bool, default True

Include the index in the hash (if Series/DataFrame).

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:

Series of uint64, same length as the object

Examples

>>> pd.util.hash_pandas_object(pd.Series([1, 2, 3]))
0    14639053686158035780
1     3869563279212530728
2      393322362522515241
dtype: uint64