DataFrame.agg() with single non-list aggregation name now returns series

.gitignore

@@ -49,3 +49,4 @@ venv/
 ENV/
 env.bak/
 venv.bak/
+.mypy_cache

eland/dataframe.py

@@ -1386,9 +1386,8 @@ def aggregate(self, func, axis=0, *args, **kwargs):
         # ['count', 'mad', 'max', 'mean', 'median', 'min', 'mode', 'quantile',
         # 'rank', 'sem', 'skew', 'sum', 'std', 'var', 'nunique']
         if isinstance(func, str):
-            # wrap in list
-            func = [func]
-            return self._query_compiler.aggs(func)
+            # Wrap in list
+            return self._query_compiler.aggs([func]).squeeze().rename(None)
         elif is_list_like(func):
             # we have a list!
             return self._query_compiler.aggs(func)

eland/tests/dataframe/test_aggs_pytest.py

@@ -18,8 +18,8 @@
 # File called _pytest for PyCharm compatability
 
 import numpy as np
-from pandas.testing import assert_frame_equal
-
+from pandas.testing import assert_frame_equal, assert_series_equal
+import pytest
 from eland.tests.common import TestData
 
 
@@ -94,3 +94,32 @@ def test_aggs_median_var(self):
         # TODO - investigate this more
         pd_aggs = pd_aggs.astype("float64")
         assert_frame_equal(pd_aggs, ed_aggs, check_exact=False, check_less_precise=2)
+
+    # If Aggregate is given a string then series is returned.
+    @pytest.mark.parametrize("agg", ["mean", "min", "max"])
+    def test_terms_aggs_series(self, agg):
+        pd_flights = self.pd_flights()
+        ed_flights = self.ed_flights()
+
+        pd_sum_min_std = pd_flights.select_dtypes(include=[np.number]).agg(agg)
+        ed_sum_min_std = ed_flights.select_dtypes(include=[np.number]).agg(agg)
+
+        assert_series_equal(pd_sum_min_std, ed_sum_min_std)
+
+    def test_terms_aggs_series_with_single_list_agg(self):
+        # aggs list with single agg should return dataframe.
+        pd_flights = self.pd_flights()
+        ed_flights = self.ed_flights()
+
+        pd_sum_min = pd_flights.select_dtypes(include=[np.number]).agg(["mean"])
+        ed_sum_min = ed_flights.select_dtypes(include=[np.number]).agg(["mean"])
+
+        assert_frame_equal(pd_sum_min, ed_sum_min)
+
+    # If Wrong Aggregate value is given.
+    def test_terms_wrongaggs(self):
+        ed_flights = self.ed_flights()[["FlightDelayMin"]]
+
+        match = "('abc', ' not currently implemented')"
+        with pytest.raises(NotImplementedError, match=match):
+            ed_flights.select_dtypes(include=[np.number]).agg("abc")