diff --git a/.gitignore b/.gitignore
index a15111e..db0ef56 100644
--- a/.gitignore
+++ b/.gitignore
@@ -51,6 +51,9 @@ coverage.xml
 .pytest_cache/
 cover/
 
+nfl_data_py/tests
+
+
 # Translations
 *.mo
 *.pot
diff --git a/nfl_data_py/__init__.py b/nfl_data_py/__init__.py
index 604ba7c..15d5adc 100644
--- a/nfl_data_py/__init__.py
+++ b/nfl_data_py/__init__.py
@@ -764,16 +764,17 @@ def import_ids(columns=None, ids=None):
     
     rem_cols = [x for x in df.columns if x not in avail_ids]
     tgt_ids = [x + '_id' for x in ids]
-        
+    
+    ret_columns = set(rem_cols + tgt_ids)    
     # filter df to just specified columns
     if len(columns) > 0 and len(ids) > 0:
-        df = df[set(tgt_ids + columns)]
+        ret_columns = set(tgt_ids + columns)
     elif len(columns) > 0 and len(ids) == 0:
-        df = df[set(avail_ids + columns)]
+        ret_columns = set(avail_ids + columns)
     elif len(columns) == 0 and len(ids) > 0:
-        df = df[set(tgt_ids + rem_cols)]
+        ret_columns = set(tgt_ids + rem_cols)
     
-    return df
+    return df[list(ret_columns)]
     
 
 def import_contracts():
diff --git a/nfl_data_py/tests/nfl_test.py b/nfl_data_py/tests/nfl_test.py
index 290b968..2c7eb19 100644
--- a/nfl_data_py/tests/nfl_test.py
+++ b/nfl_data_py/tests/nfl_test.py
@@ -167,6 +167,29 @@ def test_is_df_with_data(self):
         self.assertEqual(True, isinstance(s, pd.DataFrame))
         self.assertTrue(len(s) > 0)
         
+    def test_import_using_ids(self):
+        ids = ["espn", "yahoo", "gsis"]
+        s = nfl.import_ids(ids=ids)
+        self.assertTrue(all([f"{id}_id" in s.columns for id in ids]))
+        
+    def test_import_using_columns(self):
+        ret_columns = ["name", "birthdate", "college"]
+        not_ret_columns = ["draft_year", "db_season", "team"]
+        s = nfl.import_ids(columns=ret_columns)
+        self.assertTrue(all([column in s.columns for column in ret_columns]))
+        self.assertTrue(all([column not in s.columns for column in not_ret_columns]))
+        
+    def test_import_using_ids_and_columns(self):
+        ret_ids = ["espn", "yahoo", "gsis"]
+        ret_columns = ["name", "birthdate", "college"]
+        not_ret_ids = ["cfbref_id", "pff_id", "prf_id"]
+        not_ret_columns = ["draft_year", "db_season", "team"]
+        s = nfl.import_ids(columns=ret_columns, ids=ret_ids)
+        self.assertTrue(all([column in s.columns for column in ret_columns]))
+        self.assertTrue(all([column not in s.columns for column in not_ret_columns]))
+        self.assertTrue(all([f"{id}_id" in s.columns for id in ret_ids]))
+        self.assertTrue(all([f"{id}_id" not in s.columns for id in not_ret_ids]))
+        
 class test_ngs(TestCase):
     def test_is_df_with_data(self):
         s = nfl.import_ngs_data('passing')