STYLE: Fix errors in doctests

pandas/core/generic.py

@@ -3329,7 +3329,7 @@ def to_latex(
         >>> print(df.to_latex(index=False,
         ...                   formatters={"name": str.upper},
         ...                   float_format="{:.1f}".format,
-        ... )  # doctest: +SKIP
+        ... ))  # doctest: +SKIP
         \begin{tabular}{lrr}
         \toprule
         name & age & height \\

pandas/errors/__init__.py

@@ -455,11 +455,11 @@ class CSSWarning(UserWarning):
     Examples
     --------
     >>> df = pd.DataFrame({'A': [1, 1, 1]})
-    >>> df.style.applymap(lambda x: 'background-color: blueGreenRed;')
-    ...         .to_excel('styled.xlsx') # doctest: +SKIP
+    >>> (df.style.applymap(lambda x: 'background-color: blueGreenRed;')
+    ...         .to_excel('styled.xlsx')) # doctest: +SKIP
     ... # CSSWarning: Unhandled color format: 'blueGreenRed'
-    >>> df.style.applymap(lambda x: 'border: 1px solid red red;')
-    ...         .to_excel('styled.xlsx') # doctest: +SKIP
+    >>> (df.style.applymap(lambda x: 'border: 1px solid red red;')
+    ...         .to_excel('styled.xlsx')) # doctest: +SKIP
     ... # CSSWarning: Too many tokens provided to "border" (expected 1-3)
     """
 
@@ -569,7 +569,7 @@ class CategoricalConversionWarning(Warning):
     >>> from pandas.io.stata import StataReader
     >>> with StataReader('dta_file', chunksize=2) as reader: # doctest: +SKIP
     ...   for i, block in enumerate(reader):
-    ...      print(i, block))
+    ...      print(i, block)
     ... # CategoricalConversionWarning: One or more series with value labels...
     """
 

pandas/io/formats/style.py

@@ -961,12 +961,12 @@ def to_latex(
         Second we will format the display and, since our table is quite wide, will
         hide the repeated level-0 of the index:
 
-        >>> styler.format(subset="Equity", precision=2)
+        >>> (styler.format(subset="Equity", precision=2)
         ...       .format(subset="Stats", precision=1, thousands=",")
         ...       .format(subset="Rating", formatter=str.upper)
         ...       .format_index(escape="latex", axis=1)
         ...       .format_index(escape="latex", axis=0)
-        ...       .hide(level=0, axis=0)  # doctest: +SKIP
+        ...       .hide(level=0, axis=0))  # doctest: +SKIP
 
         Note that one of the string entries of the index and column headers is "H&M".
         Without applying the `escape="latex"` option to the `format_index` method the
@@ -982,8 +982,8 @@ def to_latex(
         ...     elif v == "Sell": color = "#ff5933"
         ...     else: color = "#ffdd33"
         ...     return f"color: {color}; font-weight: bold;"
-        >>> styler.background_gradient(cmap="inferno", subset="Equity", vmin=0, vmax=1)
-        ...       .applymap(rating_color, subset="Rating")  # doctest: +SKIP
+        >>> (styler.background_gradient(cmap="inferno", subset="Equity", vmin=0, vmax=1)
+        ...       .applymap(rating_color, subset="Rating"))  # doctest: +SKIP
 
         All the above styles will work with HTML (see below) and LaTeX upon conversion:
 
@@ -3503,9 +3503,9 @@ def pipe(self, func: Callable, *args, **kwargs):
         Since the method returns a ``Styler`` object it can be chained with other
         methods as if applying the underlying highlighters directly.
 
-        >>> df.style.format("{:.1f}")
+        >>> (df.style.format("{:.1f}")
         ...         .pipe(some_highlights, min_color="green")
-        ...         .highlight_between(left=2, right=5)  # doctest: +SKIP
+        ...         .highlight_between(left=2, right=5))  # doctest: +SKIP
 
         .. figure:: ../../_static/style/df_pipe_hl2.png
 

pandas/io/formats/style_render.py

@@ -1076,8 +1076,8 @@ def format(
         Multiple ``na_rep`` or ``precision`` specifications under the default
         ``formatter``.
 
-        >>> df.style.format(na_rep='MISS', precision=1, subset=[0])
-        ...     .format(na_rep='PASS', precision=2, subset=[1, 2])  # doctest: +SKIP
+        >>> (df.style.format(na_rep='MISS', precision=1, subset=[0])
+        ...     .format(na_rep='PASS', precision=2, subset=[1, 2]))  # doctest: +SKIP
                 0      1      2
         0    MISS   1.00      A
         1     2.0   PASS   3.00