diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index 149e10b48933d..8e876eebf93ad 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -15,7 +15,7 @@
 #   $ ./ci/code_checks.sh code          # checks on imported code
 #   $ ./ci/code_checks.sh doctests      # run doctests
 #   $ ./ci/code_checks.sh docstrings    # validate docstring errors
-#   $ ./ci/code_checks.sh typing	# run static type analysis
+#   $ ./ci/code_checks.sh typing        # run static type analysis
 
 [[ -z "$1" || "$1" == "lint" || "$1" == "patterns" || "$1" == "code" || "$1" == "doctests" || "$1" == "docstrings" || "$1" == "typing" ]] || \
     { echo "Unknown command $1. Usage: $0 [lint|patterns|code|doctests|docstrings|typing]"; exit 9999; }
@@ -140,6 +140,7 @@ if [[ -z "$CHECK" || "$CHECK" == "doctests" ]]; then
       pandas/core/window/ \
       pandas/errors/ \
       pandas/io/clipboard/ \
+      pandas/io/excel/ \
       pandas/io/parsers/ \
       pandas/io/sas/ \
       pandas/tseries/
diff --git a/pandas/io/excel/_base.py b/pandas/io/excel/_base.py
index 3c9dd90c0a0cb..d26a991ba2820 100644
--- a/pandas/io/excel/_base.py
+++ b/pandas/io/excel/_base.py
@@ -707,30 +707,45 @@ class ExcelWriter(metaclass=abc.ABCMeta):
     --------
     Default usage:
 
-    >>> with ExcelWriter('path_to_file.xlsx') as writer:
+    >>> df = pd.DataFrame([["ABC", "XYZ"]], columns=["Foo", "Bar"])
+    >>> with ExcelWriter("path_to_file.xlsx") as writer:
     ...     df.to_excel(writer)
 
     To write to separate sheets in a single file:
 
-    >>> with ExcelWriter('path_to_file.xlsx') as writer:
-    ...     df1.to_excel(writer, sheet_name='Sheet1')
-    ...     df2.to_excel(writer, sheet_name='Sheet2')
+    >>> df1 = pd.DataFrame([["AAA", "BBB"]], columns=["Spam", "Egg"])
+    >>> df2 = pd.DataFrame([["ABC", "XYZ"]], columns=["Foo", "Bar"])
+    >>> with ExcelWriter("path_to_file.xlsx") as writer:
+    ...     df1.to_excel(writer, sheet_name="Sheet1")
+    ...     df2.to_excel(writer, sheet_name="Sheet2")
 
     You can set the date format or datetime format:
 
-    >>> with ExcelWriter('path_to_file.xlsx',
-    ...                   date_format='YYYY-MM-DD',
-    ...                   datetime_format='YYYY-MM-DD HH:MM:SS') as writer:
+    >>> from datetime import date, datetime
+    >>> df = pd.DataFrame(
+    ...     [
+    ...         [date(2014, 1, 31), date(1999, 9, 24)],
+    ...         [datetime(1998, 5, 26, 23, 33, 4), datetime(2014, 2, 28, 13, 5, 13)],
+    ...     ],
+    ...     index=["Date", "Datetime"],
+    ...     columns=["X", "Y"],
+    ... )
+    >>> with ExcelWriter(
+    ...     "path_to_file.xlsx",
+    ...     date_format="YYYY-MM-DD",
+    ...     datetime_format="YYYY-MM-DD HH:MM:SS"
+    ... ) as writer:
     ...     df.to_excel(writer)
 
     You can also append to an existing Excel file:
 
-    >>> with ExcelWriter('path_to_file.xlsx', mode='a') as writer:
-    ...     df.to_excel(writer, sheet_name='Sheet3')
+    >>> with ExcelWriter("path_to_file.xlsx", mode="a", engine="openpyxl") as writer:
+    ...     df.to_excel(writer, sheet_name="Sheet3")
 
     You can store Excel file in RAM:
 
     >>> import io
+    >>> df = pd.DataFrame([["ABC", "XYZ"]], columns=["Foo", "Bar"])
     >>> buffer = io.BytesIO()
     >>> with pd.ExcelWriter(buffer) as writer:
     ...     df.to_excel(writer)
@@ -738,8 +753,9 @@ class ExcelWriter(metaclass=abc.ABCMeta):
     You can pack Excel file into zip archive:
 
     >>> import zipfile
-    >>> with zipfile.ZipFile('path_to_file.zip', 'w') as zf:
-    ...     with zf.open('filename.xlsx', 'w') as buffer:
+    >>> df = pd.DataFrame([["ABC", "XYZ"]], columns=["Foo", "Bar"])
+    >>> with zipfile.ZipFile("path_to_file.zip", "w") as zf:
+    ...     with zf.open("filename.xlsx", "w") as buffer:
     ...         with pd.ExcelWriter(buffer) as writer:
     ...             df.to_excel(writer)
     """