ruff checks

Author: ShauryaDusht

pandas/core/groupby/groupby.py

@@ -3848,7 +3848,7 @@ def ewm(self, *args, **kwargs) -> ExponentialMovingWindowGroupby:
             One and only one of ``com``, ``span``, ``halflife``, or ``alpha`` must
             be provided.
         alpha : float, optional
-            Specify the smoothing factor :math:`\\alpha` directly, 
+            Specify the smoothing factor :math:`\\alpha` directly,
             where :math:`0 < \\alpha \\leq 1`.
             One and only one of ``com``, ``span``, ``halflife``, or ``alpha`` must
             be provided.
@@ -3876,8 +3876,8 @@ def ewm(self, *args, **kwargs) -> ExponentialMovingWindowGroupby:
         -----
         Each group is treated independently, and the exponential weighted calculations
         are applied separately to each group.
-        When ``adjust=True``, weighted averages are calculated using weights 
-        :math:`w_i = (1-\\alpha)^i` where :math:`i` is the number of periods from the 
+        When ``adjust=True``, weighted averages are calculated using weights
+        :math:`w_i = (1-\\alpha)^i` where :math:`i` is the number of periods from the
         observations being weighted to the current period.
         When ``adjust=False``, the calculation follows the recursive formula:
         :math:`y_t = (1 - \\alpha) y_{t-1} + \\alpha x_t`.

pandas/tests/frame/test_query_eval.py

@@ -168,7 +168,7 @@ def test_query_duplicate_column_name(self, engine, parser):
             }
         ).rename(columns={"B": "A"})
 
-        res = df.query('C == 1', engine=engine, parser=parser)
+        res = df.query("C == 1", engine=engine, parser=parser)
 
         expect = DataFrame(
             [[1, 1, 1]],
@@ -1411,7 +1411,7 @@ def test_expr_with_column_name_with_backtick_and_hash(self):
     def test_expr_with_column_name_with_backtick(self):
         # GH 59285
         df = DataFrame({"a`b": (1, 2, 3), "ab": (4, 5, 6)})
-        result = df.query("`a``b` < 2")  # noqa
+        result = df.query("`a``b` < 2")
         # Note: Formatting checks may wrongly consider the above ``inline code``.
         expected = df[df["a`b"] < 2]
         tm.assert_frame_equal(result, expected)