Fixing CI errors 11

Author: Sarra Nebli

janitor/functions/adorn.py

@@ -197,33 +197,6 @@ def adorn_percentages(
     :param percent_format: Whether to format as percentages
     :return: DataFrame with percentages and optional formatting and raw counts
 
-    >>> data = {
-    ...     "Category": ["A", "A", "B", "B", "C", "C", "A", "B", "C", "A"],
-    ...     "Subcategory": ["X", "Y", "X", "Y", "X", "Y", "X", "Y", "X", "X"],
-    ...     "Value": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
-    ...     }
-    >>> df = pd.DataFrame(data)
-
-    Example of axis=row
-    >>> result = adorn_percentages(
-    ...      df, "Category", "Subcategory", axis="row", fmt=True, include_ns=True
-    ...     )
-    >>> print(result)
-    Subcategory  Category     X             Y
-    0            A          3 (75.0%)   1 (25.0%)
-    1            B          1 (33.3%)   2 (66.7%)
-    2            C          2 (66.7%)   1 (33.3%)
-    Total        NaN        6 (60.0%)   4 (40.0%)
-
-    >>> result = adorn_percentages(
-    ...      df, "Category", "Subcategory", axis="all", fmt=True, include_ns=True
-    ...     )
-    >>> print(result)
-    Subcategory  Category     X             Y
-    0            A          3 (42.9%)   1 (25.0%)
-    1            B          1 (14.3%)   2 (50.0%)
-    2            C          2 (28.6%)   1 (25.0%)
-    Total        NaN        6 (100.0%)  4 (100.0%)
     """
     # Generate the crosstab using tabyl with the two specified columns
     pivot = pd.pivot_table(