diff --git a/dataprofiler/data_readers/data_utils.py b/dataprofiler/data_readers/data_utils.py
index 79b5b531..d255f3c3 100644
--- a/dataprofiler/data_readers/data_utils.py
+++ b/dataprofiler/data_readers/data_utils.py
@@ -1,8 +1,8 @@
 """Contains functions for data readers."""
 import json
-import random
 import logging
 import os
+import random
 import re
 import urllib
 from collections import OrderedDict
diff --git a/dataprofiler/tests/data_readers/test_parquet_data.py b/dataprofiler/tests/data_readers/test_parquet_data.py
index fdabd413..2c885882 100644
--- a/dataprofiler/tests/data_readers/test_parquet_data.py
+++ b/dataprofiler/tests/data_readers/test_parquet_data.py
@@ -102,6 +102,16 @@ def test_specifying_data_type(self):
             input_data_obj = Data(input_file["path"], data_type="parquet")
             self.assertEqual(input_data_obj.data_type, "parquet")
 
+    def test_specifying_data_type_when_sampled(self):
+        """
+        Determine if the parquet file can be loaded with manual data_type setting when sampled
+        """
+        for input_file in self.file_or_buf_list:
+            input_data_obj = Data(
+                input_file["path"], data_type="parquet", options={"sample_nrows": 100}
+            )
+            self.assertEqual(input_data_obj.data_type, "parquet")
+
     def test_reload_data(self):
         """
         Determine if the parquet file can be reloaded
@@ -112,6 +122,16 @@ def test_reload_data(self):
             self.assertEqual(input_data_obj.data_type, "parquet")
             self.assertEqual(input_file["path"], input_data_obj.input_file_path)
 
+    def test_reload_data_when_sampled(self):
+        """
+        Determine if the parquet file can be reloaded when sampled
+        """
+        for input_file in self.file_or_buf_list:
+            input_data_obj = Data(input_file["path"], options={"sample_nrows": 100})
+            input_data_obj.reload(input_file["path"], options={"sample_nrows": 100})
+            self.assertEqual(input_data_obj.data_type, "parquet")
+            self.assertEqual(input_file["path"], input_data_obj.input_file_path)
+
     def test_data_formats(self):
         """
         Determine if the parquet file data_formats can be used
@@ -130,6 +150,24 @@ def test_data_formats(self):
                     self.assertIsInstance(data, list)
                     self.assertIsInstance(data[0], str)
 
+    def test_data_formats_when_sampled(self):
+        """
+        Determine if the parquet file data_formats can be used when sampled
+        """
+        for input_file in self.file_or_buf_list:
+            input_data_obj = Data(input_file["path"], options={"sample_nrows": 100})
+            for data_format in list(input_data_obj._data_formats.keys()):
+                input_data_obj.data_format = data_format
+                self.assertEqual(input_data_obj.data_format, data_format)
+                data = input_data_obj.data
+                if data_format == "dataframe":
+                    import pandas as pd
+
+                    self.assertIsInstance(data, pd.DataFrame)
+                elif data_format in ["records", "json"]:
+                    self.assertIsInstance(data, list)
+                    self.assertIsInstance(data[0], str)
+
     def test_mixed_string_col(self):
         """
         Determine if parquet can handle mixed string column types.