code: def setup(self, n, dtype):
      if dtype == "float64_nans":
          arr = np.arange(n).astype("float64")
          arr[arr % 10 == 0] = np.nan
      else:
          arr = np.arange(n).astype(dtype)
      self.data = pd.DataFrame({"column": arr})
  
imports: import numpy
  import pandas
  import pandas.util.testing
  import pyarrow
label_desc: Use image node_id 1 for calling the PandasConversionsBase obj's underlying member method code with example usage: obj.setup(n, dtype) without return types