code: def _plot_curve(ax, sensitive_feature, x_col, y_col, points):
      """Plot the given curve with labels."""
      color = _get_debug_color(sensitive_feature)
      ax.plot(
          points[x_col],
          points[y_col],
          c=color,
          ls="-",
          lw=2.0,
          label="sensitive feature = " + str(sensitive_feature),
      )
  
file_path: fairlearn/fairlearn/postprocessing/_plotting.py
imports: from sklearn.utils.validation import check_is_fitted
  from ._constants import _MATPLOTLIB_IMPORT_ERROR_MESSAGE
  from ._threshold_optimizer import ThresholdOptimizer
label_desc: Use image node_id 4 for calling a global function with example usage: _plot_curve(ax, sensitive_feature, x_col, y_col, points) without return types