fix lint

rdt/transformers/utils.py

@@ -252,11 +252,10 @@ def learn_rounding_digits(data):
         int or None:
             Number of digits to round to.
     """
-    # check it ends with pyarrow
-    if str(data.dtype).endswith("[pyarrow]"):
-        data = data.to_numpy()
-
     # check if data has any decimals
+    name = data.name
+    if str(data.dtype).endswith('[pyarrow]'):
+        data = data.to_numpy()
     roundable_data = data[~(np.isinf(data.astype(float)) | pd.isna(data))]
 
     # Doesn't contain numbers
@@ -276,7 +275,7 @@ def learn_rounding_digits(data):
     # Can't round, not equal after MAX_DECIMALS digits of precision
     LOGGER.info(
         "No rounding scheme detected for column '%s'. Data will not be rounded.",
-        data.name,
+        name,
     )
     return None
 

tests/unit/transformers/test_utils.py

@@ -1,7 +1,7 @@
 import sre_parse
 import warnings
 from sre_constants import MAXREPEAT
-from unittest.mock import patch
+from unittest.mock import Mock, patch
 
 import numpy as np
 import pandas as pd
@@ -329,6 +329,20 @@ def test_learn_rounding_digits_nullable_numerical_pandas_dtypes():
         assert output == expected_output[column]
 
 
+def test_learn_rounding_digits_pyarrow_to_numpy():
+    """Test that ``learn_rounding_digits`` works with pyarrow to numpy conversion."""
+    # Setup
+    data = Mock()
+    data.dtype = 'int64[pyarrow]'
+    data.to_numpy.return_value = np.array()
+
+    # Run
+    learn_rounding_digits(data)
+
+    # Assert
+    assert data.to_numpy.called
+
+
 def test_warn_dict():
     """Test that ``WarnDict`` will raise a warning when called with `text`."""
     # Setup