Refactor: Rename DataFrame variable for non-sequential index

Author: anishkarki

pandas/core/generic.py

@@ -7801,32 +7801,31 @@ def interpolate(
         1  1.0  2.0 -2.0   5.0
         2  2.0  3.0 -3.0   9.0
         3  2.0  4.0 -4.0  16.0
+        Using polynomial interpolation.
+
+        >>> df["d"].interpolate(method="polynomial", order=2)
+        0     1.0
+        1     4.0
+        2     9.0
+        3    16.0
+        Name: d, dtype: float64
 
         Using index method for linear interpolation
         with non-sequential index.
-        >>> data = {"val": [1, np.nan, 3]}
-        >>> df = pd.DataFrame(
+        >>> data_non_seq = {"val": [1, np.nan, 3]}
+        >>> df_non_seq = pd.DataFrame(
         ...     data, index=[0, 1, 6]
         ... )  # a non-sequential index to demonstrate the difference
-        >>> df
+        >>> df_non_seq
         val
         0  1.0
         1  NaN
         6  3.0
-        >>> df["val"].interpolate(method="index").round(1)
+        >>> df_non_seq["val"].interpolate(method="index").round(1)
         0    1.0
         1    1.3
         6    3.0
         Name: val, dtype: float64
-
-        Using polynomial interpolation.
-
-        >>> df["d"].interpolate(method="polynomial", order=2)
-        0     1.0
-        1     4.0
-        2     9.0
-        3    16.0
-        Name: d, dtype: float64
         """
         inplace = validate_bool_kwarg(inplace, "inplace")