johnasiano opened a new issue, #45177:
URL: https://github.com/apache/arrow/issues/45177

   ### Describe the bug, including details regarding any error messages, 
version, and platform.
   
   ```
   import pandas as pd
   import pyarrow as pa
   import numpy as np
   from datetime import datetime, timedelta
   
   df = pd.DataFrame({
      "product_id": pd.Series(
          ["PROD_" + str(np.random.randint(1000, 9999)) for _ in range(100)], 
          dtype=pd.StringDtype(storage="pyarrow")
      ),
      "transaction_timestamp": pd.date_range(
          start=datetime.now() - timedelta(days=30), 
          periods=100, 
          freq='1H'
      ),
      "sales_amount": pd.Series(
          np.round(np.random.normal(500, 150, 100), 2),
          dtype=pd.Float64Dtype()
      ),
      "customer_segment": pd.Series(
          np.random.choice(['Premium', 'Standard', 'Basic'], 100),
          dtype=pd.StringDtype(storage="pyarrow")
      ),
      "is_repeat_customer": pd.Series(
          np.random.choice([True, False], 100, p=[0.3, 0.7])
      )
   })
   
   def types_mapper(pa_type):
     if pa_type == pa.string():
         return pd.StringDtype("pyarrow")
   
   df = df.convert_dtypes(dtype_backend="pyarrow")
   df_pa = pa.Table.from_pandas(df).to_pandas(types_mapper=types_mapper)
   pd.testing.assert_frame_equal(df, df_pa)
   ```
   
   The dtypes are seemingly the same but I get the following error.
   
   ```
   AssertionError: Attributes of DataFrame.iloc[:, 0] (column 
name="product_id") are different
   
   Attribute "dtype" are different
   [left]: string[pyarrow]
   [right]: string[pyarrow]
   ```
   
   ### Component(s)
   
   Python


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