DOC: Set value for undefined variables in examples

pandas/core/apply.py

@@ -1336,7 +1336,7 @@ def relabel_result(
     >>> funcs = {"A": ["max"], "C": ["max"], "B": ["mean", "min"]}
     >>> columns = ("foo", "aab", "bar", "dat")
     >>> order = [0, 1, 2, 3]
-    >>> _relabel_result(result, func, columns, order)  # doctest: +SKIP
+    >>> relabel_result(result, funcs, columns, order)  # doctest: +SKIP
     dict(A=Series([2.0, NaN, NaN, NaN], index=["foo", "aab", "bar", "dat"]),
          C=Series([NaN, 6.0, NaN, NaN], index=["foo", "aab", "bar", "dat"]),
          B=Series([NaN, NaN, 2.5, 4.0], index=["foo", "aab", "bar", "dat"]))

pandas/core/dtypes/base.py

@@ -261,6 +261,7 @@ def construct_from_string(
         For extension dtypes with arguments the following may be an
         adequate implementation.
 
+        >>> import re
         >>> @classmethod
         ... def construct_from_string(cls, string):
         ...     pattern = re.compile(r"^my_type\[(?P<arg_name>.+)\]$")

pandas/core/generic.py

@@ -2209,7 +2209,7 @@ def to_excel(
 
         >>> with pd.ExcelWriter('output.xlsx',
         ...                     mode='a') as writer:  # doctest: +SKIP
-        ...     df.to_excel(writer, sheet_name='Sheet_name_3')
+        ...     df1.to_excel(writer, sheet_name='Sheet_name_3')
 
         To set the library that is used to write the Excel file,
         you can pass the `engine` keyword (the default engine is
@@ -5894,6 +5894,15 @@ def pipe(
         Use ``.pipe`` when chaining together functions that expect
         Series, DataFrames or GroupBy objects. Instead of writing
 
+        >>> df = pd.Dataframe(np.random.rand(2, 2))
+        >>> h = lambda df: [x.lower() for x in df.columns]
+        >>> def g(x, arg1):
+        ...     return x * arg1
+        >>> def func(x, arg2, arg3):
+        ...     return x * arg2 * arg3
+        >>> a = 1
+        >>> b = 2
+        >>> c = 3
         >>> func(g(h(df), arg1=a), arg2=b, arg3=c)  # doctest: +SKIP
 
         You can write

pandas/io/formats/style.py

@@ -1870,7 +1870,7 @@ def apply_index(
 
         >>> df = pd.DataFrame([[1,2], [3,4]], index=["A", "B"])
         >>> def color_b(s):
-        ...     return {ret}
+        ...     return '{ret}'
         >>> df.style.{this}_index(color_b)  # doctest: +SKIP
 
         .. figure:: ../../_static/style/appmaphead1.png

pandas/io/formats/style_render.py

@@ -1276,7 +1276,7 @@ def format_index(
 
         >>> df = pd.DataFrame([[1, 2, 3]],
         ...     columns=pd.MultiIndex.from_arrays([["a", "a", "b"],[2, np.nan, 4]]))
-        >>> df.style.format_index({0: lambda v: upper(v)}, axis=1, precision=1)
+        >>> df.style.format_index({0: lambda v: v.upper()}, axis=1, precision=1)
         ...  # doctest: +SKIP
                        A       B
               2.0    nan     4.0