DOC: Enforce Numpy Docstring Validation for pandas.api.indexers.FixedForwardWindowIndexer

ci/code_checks.sh

@@ -361,7 +361,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.api.extensions.ExtensionArray.tolist RT03,SA01" \
         -i "pandas.api.extensions.ExtensionArray.unique RT03,SA01" \
         -i "pandas.api.extensions.ExtensionArray.view SA01" \
-        -i "pandas.api.indexers.FixedForwardWindowIndexer PR01,SA01" \
         -i "pandas.api.indexers.VariableOffsetWindowIndexer PR01,SA01" \
         -i "pandas.api.interchange.from_dataframe RT03,SA01" \
         -i "pandas.api.types.infer_dtype PR07,SA01" \

pandas/core/indexers/objects.py

@@ -315,6 +315,26 @@ class FixedForwardWindowIndexer(BaseIndexer):
     """
     Creates window boundaries for fixed-length windows that include the current row.
 
+    Parameters
+    ----------
+    index_array : np.ndarray, default None
+        Array-like structure representing the indices for the data points.
+        If None, the default indices are assumed. This can be useful for
+        handling non-uniform indices in data, such as in time series
+        with irregular timestamps.
+    window_size : int, default 0
+        Size of the moving window. This is the number of observations used
+        for calculating the statistic. The default is to consider all
+        observations within the window.
+    **kwargs
+        Additional keyword arguments passed to the subclass's methods.
+
+    See Also
+    --------
+    DataFrame.rolling : Provides rolling window calculations.
+    api.indexers.VariableWindowIndexer : Calculate window bounds based on
+        variable-sized windows.
+
     Examples
     --------
     >>> df = pd.DataFrame({"B": [0, 1, 2, np.nan, 4]})