docs: def get_xy_dataset_statistics_pandas(dataframe, x_series, y_series, fcorrect_x_cutoff = 1.0, fcorrect_y_cutoff = 1.0, x_fuzzy_range = 0.1, y_scalar = 1.0, ignore_null_values = False,
                                      bootstrap_data = False,
                                      expect_negative_correlation = False, STDev_cutoff = 1.0,
                                      run_standardized_analysis = True,
                                      check_multiple_analysis_for_consistency = True):
      '''
      A version of _get_xy_dataset_statistics which accepts a pandas dataframe rather than X- and Y-value lists.
      :param dataframe: A pandas dataframe
      :param x_series: The column name of the X-axis series
      :param y_series: The column name of the Y-axis series
      :param fcorrect_x_cutoff: The X-axis cutoff value for the fraction correct metric.
      :param fcorrect_y_cutoff: The Y-axis cutoff value for the fraction correct metric.
      :param x_fuzzy_range: The X-axis fuzzy range value for the fuzzy fraction correct metric.
      :param y_scalar: The Y-axis scalar multiplier for the fuzzy fraction correct metric (used to calculate y_cutoff and y_fuzzy_range in that metric)
      :return: A table of statistics.
      '''
  
      x_values = dataframe[x_series].tolist()
      y_values = dataframe[y_series].tolist()
      return _get_xy_dataset_statistics(x_values, y_values,
                                        fcorrect_x_cutoff = fcorrect_x_cutoff, fcorrect_y_cutoff = fcorrect_y_cutoff, x_fuzzy_range = x_fuzzy_range,
                                        y_scalar = y_scalar, ignore_null_values = ignore_null_values,
                                        bootstrap_data = bootstrap_data,
                                        expect_negative_correlation = expect_negative_correlation,
                                        STDev_cutoff = STDev_cutoff,
                                        run_standardized_analysis = run_standardized_analysis,
                                        check_multiple_analysis_for_consistency = check_multiple_analysis_for_consistency)