code: def data_binary(data):
      X, y = data
      return X[y < 2], y[y < 2]
  
file_path: scikit-learn/sklearn/metrics/_plot/tests/test_roc_curve_display.py
imports: import numpy
  import pytest
  from numpy.testing import assert_allclose
  from sklearn.compose import make_column_transformer
  from sklearn.datasets import load_breast_cancer, load_iris
  from sklearn.exceptions import NotFittedError
  from sklearn.linear_model import LogisticRegression
  from sklearn.metrics import RocCurveDisplay, auc, roc_curve
  from sklearn.model_selection import train_test_split
  from sklearn.pipeline import make_pipeline
  from sklearn.preprocessing import StandardScaler
  from sklearn.utils import shuffle
  from sklearn.utils.fixes import trapezoid
label_desc: Use image node_id 2 for calling a global function with example usage: data_binary(data) and returns: X,  y