boolean_stats

boolean_stats

BooleanStatistics

BooleanStatistics(
    dataframe: DataFrame, column_name: str = "systime"
)

Bases: Base

Provides class methods to calculate statistics on a boolean column in a pandas DataFrame.

count_true classmethod

count_true(
    dataframe: DataFrame, column_name: str = "value_bool"
) -> int

Returns the count of True values in the boolean column.

count_false classmethod

count_false(
    dataframe: DataFrame, column_name: str = "value_bool"
) -> int

Returns the count of False values in the boolean column.

count_null classmethod

count_null(
    dataframe: DataFrame, column_name: str = "value_bool"
) -> int

Returns the count of null (NaN) values in the boolean column.

count_not_null classmethod

count_not_null(
    dataframe: DataFrame, column_name: str = "value_bool"
) -> int

Returns the count of non-null (True or False) values in the boolean column.

true_percentage classmethod

true_percentage(
    dataframe: DataFrame, column_name: str = "value_bool"
) -> float

Returns the percentage of True values in the boolean column.

false_percentage classmethod

false_percentage(
    dataframe: DataFrame, column_name: str = "value_bool"
) -> float

Returns the percentage of False values in the boolean column.

mode classmethod

mode(dataframe: DataFrame, column_name: str) -> bool

Returns the mode (most common value) of the specified boolean column.

is_balanced classmethod

is_balanced(dataframe: DataFrame, column_name: str) -> bool

Indicates if the distribution is balanced (50% True and False) in the specified boolean column.

summary_as_dict classmethod

summary_as_dict(
    dataframe: DataFrame, column_name: str
) -> Dict[str, Union[int, float, bool]]

Returns a summary of boolean statistics for the specified column as a dictionary.

summary_as_dataframe classmethod

summary_as_dataframe(
    dataframe: DataFrame, column_name: str
) -> pd.DataFrame

Returns a summary of boolean statistics for the specified column as a DataFrame.