code: def df_mixed_types():
      df = pd.DataFrame(
          {
              "A": [it for it in range(0, 20)],
              "B": [1, 2, 2, 1] * 5,
              "C": ["A", "B", "D", "D"] * 5,
              "time": [date(2019, 1, it + 1) for it in range(20)],
          }
      )
  
      return df
  
imports: from datetime import date
  import math
  import numpy
  import pandas
  import pytest
  from sklearn.datasets import make_classification
  from feature_engine.selection import DropHighPSIFeatures
label_desc: Use image node_id 2 for calling a global function with example usage: df_mixed_types() and returns: df