(fit)
return fit_parameters
Produce a pandas DataFrame of model fit results from a statsmodels
    fit result object.

    Parameters
    ----------
    fit : statsmodels.regression.linear_model.RegressionResults

    Returns
    -------
    fit_parameters : pandas.DataFrame
        Will have columns 'Coefficient', 'Std. Error', and 'T-Score'.
        Index will be model terms.

        This frame will also have non-standard attributes
        .rsquared and .rsquared_adj with the same meaning and value
        as on `fit`.
Produce a pandas DataFrame of model fit results from a statsmodels
    fit result object.
Produce a pandas DataFrame of model fit results from a statsmodels fit result object .
def _model_fit_to_table(fit):
    """
    Produce a pandas DataFrame of model fit results from a statsmodels
    fit result object.

    Parameters
    ----------
    fit : statsmodels.regression.linear_model.RegressionResults

    Returns
    -------
    fit_parameters : pandas.DataFrame
        Will have columns 'Coefficient', 'Std. Error', and 'T-Score'.
        Index will be model terms.

        This frame will also have non-standard attributes
        .rsquared and .rsquared_adj with the same meaning and value
        as on `fit`.

    """
    fit_parameters = pd.DataFrame(
        {'Coefficient': fit.params,
         'Std. Error': fit.bse,
         'T-Score': fit.tvalues})
    fit_parameters.rsquared = fit.rsquared
    fit_parameters.rsquared_adj = fit.rsquared_adj
    return fit_parameters
def _model_fit_to_table ( fit ) : fit_parameters = pd . DataFrame ( { 'Coefficient' : fit . params , 'Std. Error' : fit . bse , 'T-Score' : fit . tvalues } ) fit_parameters . rsquared = fit . rsquared fit_parameters . rsquared_adj = fit . rsquared_adj return fit_parameters