fix up tests

LinkedEarth · Feb 27, 2023 · 4501dd2 · 4501dd2
1 parent eecbc4c
commit 4501dd2
Showing 1 changed file with 7 additions and 7 deletions.
diff --git a/pyleoclim/tests/test_core_MultipleSeries.py b/pyleoclim/tests/test_core_MultipleSeries.py
@@ -495,23 +495,23 @@ def test_remove_overload(self):
         assert ms.series_list[0].equals(ts1) == (True, True)
 
 class TestToPandas:
-    def test_to_pandas(self): 
+    def test_to_pandas_with_common_time(self): 
         ts1 = pyleo.Series(time=np.array([1, 2, 4]), value=np.array([7, 4, 9]), time_unit='years CE', label='foo')
         ts2 = pyleo.Series(time=np.array([1, 3, 4]), value=np.array([7, 8, 1]), time_unit='years CE', label='bar')
         ms = pyleo.MultipleSeries([ts1, ts2])
-        result = ms.to_pandas()
+        result = ms.to_pandas(use_common_time=True)
         expected_index = pd.DatetimeIndex(
             np.array(['0000-12-31 05:48:45', '0002-07-02 02:31:54'], dtype='datetime64[s]'),
             name='datetime',
         )
         expected = pd.DataFrame({'foo': [7, 5.25], 'bar': [7, 7.75]}, index=expected_index)
         pd.testing.assert_frame_equal(result, expected)
 
-    def test_to_pandas_no_use_common_time(self): 
+    def test_to_pandas_defau(self): 
         ts1 = pyleo.Series(time=np.array([1, 2, 4]), value=np.array([7, 4, 9]), time_unit='years CE', label='foo')
         ts2 = pyleo.Series(time=np.array([1, 3, 4]), value=np.array([7, 8, 1]), time_unit='years CE', label='bar')
         ms = pyleo.MultipleSeries([ts1, ts2])
-        result = ms.to_pandas(use_common_time=False)
+        result = ms.to_pandas()
         expected_index = pd.DatetimeIndex(
             np.array(['0000-12-31 05:48:45', '0001-12-31 11:37:31', '0002-12-31 17:26:17', '0003-12-31 23:15:03'],
                      dtype='datetime64[s]'),
@@ -522,10 +522,10 @@ def test_to_pandas_no_use_common_time(self):
         pd.testing.assert_frame_equal(result, expected)
 
     def test_to_pandas_args_kwargs(self):
-        ts1 = pyleo.Series(time=np.array([1, 2, 4]), value=np.array([7, 4, 9]), time_unit='years CE', label='foo')
-        ts2 = pyleo.Series(time=np.array([1, 3, 4]), value=np.array([7, 8, 1]), time_unit='years CE', label='bar')
+        ts1 = pyleo.Series(time=np.array([1, 2, 4]), value=np.array([7, 4, 9]), time_unit='years CE', label='foo',verbose=False)
+        ts2 = pyleo.Series(time=np.array([1, 3, 4]), value=np.array([7, 8, 1]), time_unit='years CE', label='bar',verbose=False)
         ms = pyleo.MultipleSeries([ts1, ts2])
-        result = ms.to_pandas('bin', start=2)
+        result = ms.to_pandas('bin', use_common_time=True, start=2)
         expected_index = pd.DatetimeIndex(
             np.array(['0002-12-31 17:26:17'], dtype='datetime64[s]'),
             name='datetime',