code: def test_only_vectorized(self):
      # Clean nan values
      df = ta.utils.dropna(self._df)
  
      # Add all ta features filling nans values
      df_vectorized = ta.add_all_ta_features(
          df=df,
          open="Open",
          high="High",
          low="Low",
          close="Close",
          volume="Volume_BTC",
          fillna=True,
          vectorized=True,
      )
  
      self.assertTrue(df_vectorized.shape[1] == 76)
  
file_path: ta/test/integration/wrapper.py
imports: import unittest
  import pandas
  import ta
label_desc: Use image node_id 4 for calling the TestWrapper obj's underlying member method code with example usage: obj.test_only_vectorized() without return types