Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://pandas.pydata.org/pandas-docs/stable/reference/api/../api/pandas.util.hash_array.html below:

pandas.util.hash_array — pandas 2.3.1 documentation

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)

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4