This is a pandas Extension array for boolean data, under the hood represented by 2 numpy arrays: a boolean array with the data and a boolean array with the mask (True indicating missing).
BooleanArray implements Kleene logic (sometimes called three-value logic) for logical operations. See boolean.kleene
for more.
To construct an BooleanArray from generic array-like input, use pandas.array
specifying dtype="boolean"
(see examples below).
BooleanArray is considered experimental. The implementation and parts of the API may change without warning.
A 1-d boolean-dtype array with the data.
A 1-d boolean-dtype array indicating missing values (True indicates missing).
Whether to copy the :None:None:`values` and :None:None:`mask` arrays.
Array of boolean (True/False) data with missing values.
Create an BooleanArray with pandas.array
:
>>> pd.array([True, False, None], dtype="boolean") <BooleanArray> [True, False, <NA>] Length: 3, dtype: booleanSee :
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