gini_coefficient module

utils.gini_coefficient.get_gini(input_data, on_column, conversation_id_col)

Calculates the Gini coefficient for a specified numeric column within grouped conversation data.

Parameters:

  • input_data (pd.DataFrame) – A DataFrame of conversations, where each row represents one chat.

  • on_column (str) – The name of the numeric column on which the Gini coefficient is to be calculated.

  • conversation_id_col (str) – A string representing the column name that should be selected as the conversation ID.

Returns:

A DataFrame with Gini coefficients for each conversation.

Return type:

pd.DataFrame

utils.gini_coefficient.gini_coefficient(x)

Calculates the Gini coefficient for an array of values, which is a measure of statistical dispersion.

Source code: https://stackoverflow.com/questions/39512260/calculating-gini-coefficient-in-python-numpy

Parameters:

x (list or np.ndarray) – List or array of values to calculate the Gini coefficient for.

Returns:

Gini coefficient value.

Return type:

float