code: def main():
      _apply_same_encoder_to_all_columns()
      _apply_different_encoders_to_columns()
  
imports: import numpy
  import pandas
  from sklearn.preprocessing import LabelEncoder
  from neuraxle.steps.column_transformer import ColumnTransformer
  from neuraxle.steps.loop import FlattenForEach
label_desc: Use image node_id 3 for calling a global function with example usage: main() without return types