feature_table

feature_table

DescriptiveFeatures

DescriptiveFeatures(dataframe: DataFrame)

A class used to compute descriptive statistics for a DataFrame, grouped by UUID.

Attributes

data : pandas.DataFrame DataFrame containing the data

Methods

compute(): Compute and return descriptive statistics for each UUID in the DataFrame.

Parameters

dataframe : pandas.DataFrame DataFrame containing the data

overall_stats

overall_stats(
    group: DataFrame,
) -> Dict[str, Union[int, float]]

Compute and return overall statistics for the DataFrame group.

• total_rows: Total number of rows in the group.
• total_time: Total time difference from max and min of 'systime' column.
• is_delta_sum: Sum of the 'is_delta' column.
• is_delta_avg: Mean of the 'is_delta' column.
• is_delta_std: Standard deviation of the 'is_delta' column.

Returns:

Name	Type	Description
dict	Dict[str, Union[int, float]]	A dictionary with overall statistics.

compute_per_group

compute_per_group(
    group: DataFrame,
) -> Dict[str, Dict[str, Union[int, float, str, bool]]]

Compute and return statistics for each column in the DataFrame group.

Returns:

Name	Type	Description
dict	Dict[str, Dict[str, Union[int, float, str, bool]]]	A dictionary with overall statistics, and string, numeric, and boolean statistics per column.

compute

compute(
    output_format: str = "dict",
) -> Union[
    pd.DataFrame,
    Dict[
        str,
        Dict[str, Dict[str, Union[int, float, str, bool]]],
    ],
]

Compute and return descriptive statistics for each UUID in the DataFrame.

Parameters:

Name	Type	Description	Default
output_format	str	The desired output format ('dict' or 'dataframe'). Defaults to 'dict'.	'dict'

Returns:

Type	Description
Union[DataFrame, Dict[str, Dict[str, Dict[str, Union[int, float, str, bool]]]]]	Union[DataFrame, dict]: A DataFrame or a nested dictionary with the UUID as the key and specific statistics related to that UUID's data type.