CLN: address FIXME comments

pandas/plotting/_matplotlib/converter.py

@@ -387,23 +387,6 @@ def __call__(self):
             return []
 
         # We need to cap at the endpoints of valid datetime
-
-        # FIXME: dont leave commented-out
-        # TODO(wesm) unused?
-        # if dmin > dmax:
-        #     dmax, dmin = dmin, dmax
-        # delta = relativedelta(dmax, dmin)
-        # try:
-        #     start = dmin - delta
-        # except ValueError:
-        #     start = _from_ordinal(1.0)
-
-        # try:
-        #     stop = dmax + delta
-        # except ValueError:
-        #     # The magic number!
-        #     stop = _from_ordinal(3652059.9999999)
-
         nmax, nmin = dates.date2num((dmax, dmin))
 
         num = (nmax - nmin) * 86400 * 1000
@@ -449,27 +432,7 @@ def autoscale(self):
         """
         Set the view limits to include the data range.
         """
-        dmin, dmax = self.datalim_to_dt()
-        if dmin > dmax:
-            dmax, dmin = dmin, dmax
-
         # We need to cap at the endpoints of valid datetime
-
-        # FIXME: dont leave commented-out
-        # TODO(wesm): unused?
-
-        # delta = relativedelta(dmax, dmin)
-        # try:
-        #     start = dmin - delta
-        # except ValueError:
-        #     start = _from_ordinal(1.0)
-
-        # try:
-        #     stop = dmax + delta
-        # except ValueError:
-        #     # The magic number!
-        #     stop = _from_ordinal(3652059.9999999)
-
         dmin, dmax = self.datalim_to_dt()
 
         vmin = dates.date2num(dmin)

pandas/tests/extension/test_boolean.py

@@ -356,7 +356,5 @@ class TestUnaryOps(base.BaseUnaryOpsTests):
     pass
 
 
-# FIXME: dont leave commented-out
-# TODO parsing not yet supported
-# class TestParsing(base.BaseParsingTests):
-#     pass
+class TestParsing(base.BaseParsingTests):
+    pass

pandas/tests/indexes/multi/test_indexing.py

@@ -519,14 +519,15 @@ def test_get_loc_duplicates(self):
         result = index.get_loc(2)
         expected = slice(0, 4)
         assert result == expected
-        # FIXME: dont leave commented-out
-        # pytest.raises(Exception, index.get_loc, 2)
 
         index = Index(["c", "a", "a", "b", "b"])
         rs = index.get_loc("c")
         xp = 0
         assert rs == xp
 
+        with pytest.raises(KeyError):
+            index.get_loc(2)
+
     def test_get_loc_level(self):
         index = MultiIndex(
             levels=[Index(np.arange(4)), Index(np.arange(4)), Index(np.arange(4))],

pandas/tests/indexes/multi/test_take.py

@@ -11,9 +11,6 @@ def test_take(idx):
     expected = idx[indexer]
     assert result.equals(expected)
 
-    # FIXME: Remove Commented Code
-    # if not isinstance(idx,
-    #                   (DatetimeIndex, PeriodIndex, TimedeltaIndex)):
     # GH 10791
     msg = "'MultiIndex' object has no attribute 'freq'"
     with pytest.raises(AttributeError, match=msg):

pandas/tests/indexing/test_indexing.py

@@ -809,8 +809,7 @@ def test_range_in_series_indexing(self, size):
     @pytest.mark.parametrize(
         "slc",
         [
-            # FIXME: dont leave commented-out
-            # pd.IndexSlice[:, :],
+            pd.IndexSlice[:, :],
             pd.IndexSlice[:, 1],
             pd.IndexSlice[1, :],
             pd.IndexSlice[[1], [1]],

pandas/tests/io/test_sql.py

@@ -1130,8 +1130,6 @@ def setup_method(self, load_iris_data):
         self.conn.close()
         self.conn = self.__engine
         self.pandasSQL = sql.SQLDatabase(self.__engine)
-        # FIXME: dont leave commented-out
-        # super().teardown_method(method)
 
 
 @pytest.mark.single

pandas/tests/reductions/test_reductions.py

@@ -942,10 +942,8 @@ def test_timedelta64_analytics(self):
         s2 = Series(pd.date_range("20120102", periods=3))
         expected = Series(s2 - s1)
 
-        # FIXME: don't leave commented-out code
-        # this fails as numpy returns timedelta64[us]
-        # result = np.abs(s1-s2)
-        # assert_frame_equal(result,expected)
+        result = np.abs(s1 - s2)
+        tm.assert_series_equal(result, expected)
 
         result = (s1 - s2).abs()
         tm.assert_series_equal(result, expected)

pandas/tests/series/test_constructors.py

@@ -1323,18 +1323,22 @@ def test_convert_non_ns(self):
         # convert from a numpy array of non-ns datetime64
         # note that creating a numpy datetime64 is in LOCAL time!!!!
         # seems to work for M8[D], but not for M8[s]
+        # TODO: is the above comment still accurate/needed?
 
-        s = Series(
-            np.array(["2013-01-01", "2013-01-02", "2013-01-03"], dtype="datetime64[D]")
+        arr = np.array(
+            ["2013-01-01", "2013-01-02", "2013-01-03"], dtype="datetime64[D]"
         )
-        tm.assert_series_equal(s, Series(date_range("20130101", periods=3, freq="D")))
-
-        # FIXME: dont leave commented-out
-        # s = Series(np.array(['2013-01-01 00:00:01','2013-01-01
-        # 00:00:02','2013-01-01 00:00:03'],dtype='datetime64[s]'))
+        ser = Series(arr)
+        expected = Series(date_range("20130101", periods=3, freq="D"))
+        tm.assert_series_equal(ser, expected)
 
-        # tm.assert_series_equal(s,date_range('20130101
-        # 00:00:01',period=3,freq='s'))
+        arr = np.array(
+            ["2013-01-01 00:00:01", "2013-01-01 00:00:02", "2013-01-01 00:00:03"],
+            dtype="datetime64[s]",
+        )
+        ser = Series(arr)
+        expected = Series(date_range("20130101 00:00:01", periods=3, freq="s"))
+        tm.assert_series_equal(ser, expected)
 
     @pytest.mark.parametrize(
         "index",