code: def plot_radar(
      fobject,
      other_objects=None,
      title=None,
      verbose=True,
      metrics=["TPR", "ACC", "PPV", "FPR", "STP"],
      **kwargs,
  ):
      data = utils._unwrap_parity_loss_data(
          fobject, other_objects, metrics, verbose
      )
      colors = _theme.get_default_colors(
          len(set(data.label)), type="line"
      )
  
      fig = go.Figure()
      for i, label in enumerate(set(sorted(data.label))):
          model_data = data.loc[data.label == label, :]
          r = list(model_data.score)
          r.append(r[0])
          theta = list(model_data.metric)
          theta.append(theta[0])
          fig.add_trace(
              go.Scatterpolar(
                  r=r,
                  theta=theta,
                  name=label,
                  marker=dict(color=[colors[i] for elem in r]),
                  line=dict(color=colors[i]),
                  text=[label for _ in r],
              )
          )
  
      if title is None:
          title = "Fairness Radar"
      fig.update_layout(utils._fairness_theme(title))
  
      fig.update_layout(
          polar=dict(radialaxis=dict(range=[0, max(data.score) + 0.1]))
      )
  
      fig.update_traces(
          hovertemplate="<br>".join(
              [
                  "<b>%{text}</b><br>"
                  "Metric: %{theta}<br>"
                  "Parity loss: %{r:.3f}"
                  "<extra></extra>"
              ]
          )
      )
  
      return fig
  
imports: import numpy
  import pandas
  import plotly.express
  import plotly.graph_objects
  from plotly.subplots import make_subplots
  from .None import checks
  from .None import utils
  from .._basics import checks
  from .._basics.exceptions import ParameterCheckError
  from ...None import _theme
  from ..._explainer import helper
label_desc: Use image node_id 6 for calling a global function with example usage: plot_radar(fobject, other_objects, title, verbose, metrics) and returns: fig