diff --git a/dataprofiler/profilers/float_column_profile.py b/dataprofiler/profilers/float_column_profile.py
index 29417584..bc426a44 100644
--- a/dataprofiler/profilers/float_column_profile.py
+++ b/dataprofiler/profilers/float_column_profile.py
@@ -305,10 +305,7 @@ def _get_float_precision(
 
         # length of sampled cells after all punctuation removed
         len_per_float = (
-            df_series_clean.sample(sample_size)
-            .astype(object)
-            .replace(to_replace=r, value="")
-            .map(len)
+            df_series_clean.sample(sample_size).replace(to_replace=r, value="").map(len)
         ).astype(float)
 
         # Determine statistics precision
diff --git a/dataprofiler/tests/profilers/test_float_column_profile.py b/dataprofiler/tests/profilers/test_float_column_profile.py
index 06441dcb..d79fdd64 100644
--- a/dataprofiler/tests/profilers/test_float_column_profile.py
+++ b/dataprofiler/tests/profilers/test_float_column_profile.py
@@ -211,13 +211,6 @@ def test_profiled_precision(self):
                 msg=f"Errored for: {sample[0]}",
             )
 
-        # Validate categorical series with trailing zeros supported
-        categorical_series = pd.Series(
-            [202209, 202210, 202211], dtype="category"
-        ).apply(str)
-        float_profiler = FloatColumn("Name")
-        float_profiler.update(categorical_series)
-
     def test_profiled_min(self):
         # test with multiple values
         data = np.linspace(-5, 5, 11)