ruff checks updated

Author: ShauryaDusht

pandas/core/groupby/groupby.py

@@ -3848,7 +3848,8 @@ 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, where :math:`0 < \\alpha \\leq 1`.
+            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.
         min_periods : int, default 0
@@ -3875,11 +3876,9 @@ 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 
         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`.