Update code for failing tests

Author: avinashpancham

doc/source/whatsnew/v0.15.0.rst

@@ -1030,6 +1030,7 @@ Other:
   If ``Period`` freq is ``D``, ``H``, ``T``, ``S``, ``L``, ``U``, ``N``, ``Timedelta``-like can be added if the result can have same freq. Otherwise, only the same ``offsets`` can be added.
 
   .. ipython:: python
+    :okwarning:
 
      idx = pd.period_range('2014-07-01 09:00', periods=5, freq='H')
      idx

pandas/tests/generic/test_series.py

@@ -174,7 +174,7 @@ def test_shift_always_copy(self, s, shift_size):
         # GH22397
         assert s.shift(shift_size) is not s
 
-    @pytest.mark.parametrize("move_by_freq", [pd.Timedelta("1D"), pd.Timedelta("1M")])
+    @pytest.mark.parametrize("move_by_freq", [pd.Timedelta("1D"), pd.Timedelta("1min")])
     def test_datetime_shift_always_copy(self, move_by_freq):
         # GH22397
         s = pd.Series(range(5), index=pd.date_range("2017", periods=5))

pandas/tests/indexes/interval/test_interval.py

@@ -86,7 +86,7 @@ def test_properties(self, closed):
             [1, 1, 2, 5, 15, 53, 217, 1014, 5335, 31240, 201608],
             [-np.inf, -100, -10, 0.5, 1, 1.5, 3.8, 101, 202, np.inf],
             pd.to_datetime(["20170101", "20170202", "20170303", "20170404"]),
-            pd.to_timedelta(["1ns", "2ms", "3s", "4M", "5H", "6D"]),
+            pd.to_timedelta(["1ns", "2ms", "3s", "4min", "5H", "6D"]),
         ],
     )
     def test_length(self, closed, breaks):

pandas/tests/resample/test_datetime_index.py

@@ -752,7 +752,8 @@ def test_resample_origin():
     resampled = ts.resample("5min", origin=offset_timestamp).mean()
     tm.assert_index_equal(resampled.index, exp_rng)
 
-    resampled = ts.resample("5min", origin="epoch", offset="2m").mean()
+    with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
+        resampled = ts.resample("5min", origin="epoch", offset="2m").mean()
     tm.assert_index_equal(resampled.index, exp_rng)
 
     # origin of '1999-31-12 12:02:00' should be equivalent for this case
@@ -831,7 +832,8 @@ def test_resample_origin_with_tz():
     resampled = ts.resample("5min", origin="1999-12-31 12:02:00+03:00").mean()
     tm.assert_index_equal(resampled.index, exp_rng)
 
-    resampled = ts.resample("5min", origin="epoch", offset="2m").mean()
+    with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
+        resampled = ts.resample("5min", origin="epoch", offset="2m").mean()
     tm.assert_index_equal(resampled.index, exp_rng)
 
     with pytest.raises(ValueError, match=msg):

pandas/tests/scalar/timedelta/test_constructors.py

@@ -4,6 +4,7 @@
 import pytest
 
 from pandas import Timedelta, offsets, to_timedelta
+import pandas._testing as tm
 
 
 def test_construction():
@@ -40,8 +41,9 @@ def test_construction():
     assert Timedelta("1 hr") == timedelta(hours=1)
     assert Timedelta("1 hours") == timedelta(hours=1)
     assert Timedelta("-1 hours") == -timedelta(hours=1)
-    assert Timedelta("1 m") == timedelta(minutes=1)
-    assert Timedelta("1.5 m") == timedelta(seconds=90)
+    with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
+        assert Timedelta("1 m") == timedelta(minutes=1)
+        assert Timedelta("1.5 m") == timedelta(seconds=90)
     assert Timedelta("1 minute") == timedelta(minutes=1)
     assert Timedelta("1 minutes") == timedelta(minutes=1)
     assert Timedelta("1 s") == timedelta(seconds=1)

pandas/tests/scalar/timedelta/test_timedelta.py

@@ -164,7 +164,7 @@ def test_nat_converters(self):
         [(value, "W", False) for value in ["W", "w"]]
         + [(value, "D", False) for value in ["D", "d", "days", "day", "Days", "Day"]]
         + [
-            (value, "m", FutureWarning if value == "m" else False)
+            (value, "m", FutureWarning if value == "m" else False)  # type: ignore[misc]
             for value in [
                 "m",
                 "minute",