adjust for picky examples checker

third_party/bigframes_vendored/pandas/core/reshape/encoding.py

@@ -28,51 +28,63 @@ def get_dummies(
         >>> import bigframes.pandas as pd
         >>> s = pd.Series(list('abca'))
         >>> pd.get_dummies(s)
-              a      b      c
+               a      b      c
         0   True  False  False
         1  False   True  False
         2  False  False   True
         3   True  False  False
 
+        [4 rows x 3 columns]
+
         >>> s1 = pd.Series(['a', 'b', None])
 
         >>> pd.get_dummies(s1)
-              a      b
+               a      b
         0   True  False
         1  False   True
         2  False  False
 
+        [3 rows x 2 columns]
+
         >>> pd.get_dummies(s1, dummy_na=True)
-              a      b    <NA>
+               a      b   <NA>
         0   True  False  False
         1  False   True  False
         2  False  False   True
 
+        [3 rows x 3 columns]
+
         >>> df = pd.DataFrame({'A': ['a', 'b', 'a'], 'B': ['b', 'a', 'c'],
         ...                    'C': [1, 2, 3]})
 
         >>> pd.get_dummies(df, prefix=['col1', 'col2'])
-          C  col1_a  col1_b  col2_a  col2_b  col2_c
+           C  col1_a  col1_b  col2_a  col2_b  col2_c
         0  1    True   False   False    True   False
         1  2   False    True    True   False   False
         2  3    True   False   False   False    True
 
+        [3 rows x 6 columns]
+
         >>> pd.get_dummies(pd.Series(list('abcaa')))
-              a      b      c
+               a      b      c
         0   True  False  False
         1  False   True  False
         2  False  False   True
         3   True  False  False
         4   True  False  False
 
+        [5 rows x 3 columns]
+
         >>> pd.get_dummies(pd.Series(list('abcaa')), drop_first=True)
-              b      c
+               b      c
         0  False  False
         1   True  False
         2  False   True
         3  False  False
         4  False  False
 
+        [5 rows x 2 columns]
+
     Args:
       data (Series or DataFrame):
         Data of which to get dummy indicators.