code: def numeric_as_float(data):
      for v in data.columns:
          if data[v].dtype is np.dtype("int64"):
              data[v] = data[v].astype(np.float64)
  
file_path: pandas/pandas/tests/io/sas/test_xport.py
imports: import numpy
  import pytest
  import pandas
  import pandas._testing
  from pandas.io.sas.sasreader import read_sas
label_desc: Use image node_id 1 for calling a global function with example usage: numeric_as_float(data) without return types