code: def score_ic_graph(
      pred_label: pd.DataFrame, show_notebook: bool = True, **kwargs
  ) -> [list, tuple]:
      """score IC
  
          Example:
  
  
              .. code-block:: python
  
                  from qlib.data import D
                  from qlib.contrib.report import analysis_position
                  pred_df_dates = pred_df.index.get_level_values(level='datetime')
                  features_df = D.features(D.instruments('csi500'), ['Ref($close, -2)/Ref($close, -1)-1'], pred_df_dates.min(), pred_df_dates.max())
                  features_df.columns = ['label']
                  pred_label = pd.concat([features_df, pred], axis=1, sort=True).reindex(features_df.index)
                  analysis_position.score_ic_graph(pred_label)
  
  
      :param pred_label: index is **pd.MultiIndex**, index name is **[instrument, datetime]**; columns names is **[score, label]**.
  
  
              .. code-block:: python
  
                  instrument  datetime        score         label
                  SH600004  2017-12-11     -0.013502       -0.013502
                              2017-12-12   -0.072367       -0.072367
                              2017-12-13   -0.068605       -0.068605
                              2017-12-14    0.012440        0.012440
                              2017-12-15   -0.102778       -0.102778
  
  
      :param show_notebook: whether to display graphics in notebook, the default is **True**.
      :return: if show_notebook is True, display in notebook; else return **plotly.graph_objs.Figure** list.
      """
      _ic_df = _get_score_ic(pred_label)
  
      _figure = ScatterGraph(
          _ic_df,
          layout=dict(
              title="Score IC",
              xaxis=dict(
                  tickangle=45,
                  rangebreaks=kwargs.get(
                      "rangebreaks",
                      guess_plotly_rangebreaks(_ic_df.index),
                  ),
              ),
          ),
          graph_kwargs={"mode": "lines+markers"},
      ).figure
      if show_notebook:
          ScatterGraph.show_graph_in_notebook([_figure])
      else:
          return (_figure,)
  
imports: import pandas
  from ..graph import ScatterGraph
  from ..utils import guess_plotly_rangebreaks
label_desc: Use image node_id 2 for calling a global function with example usage: score_ic_graph(pred_label, show_notebook) and returns: _figure