DOC/TST: doctests leaving extraneous files (pandas-dev#23858)

Author: RomainSa

pandas/core/frame.py

@@ -2028,8 +2028,9 @@ def to_parquet(self, fname, engine='auto', compression='snappy',
         Examples
         --------
         >>> df = pd.DataFrame(data={'col1': [1, 2], 'col2': [3, 4]})
-        >>> df.to_parquet('df.parquet.gzip', compression='gzip')
-        >>> pd.read_parquet('df.parquet.gzip')
+        >>> df.to_parquet('df.parquet.gzip',
+        ...               compression='gzip')  # doctest: +SKIP
+        >>> pd.read_parquet('df.parquet.gzip')  # doctest: +SKIP
            col1  col2
         0     1     3
         1     2     4
@@ -2243,7 +2244,8 @@ def info(self, verbose=None, buf=None, max_cols=None, memory_usage=None,
         >>> buffer = io.StringIO()
         >>> df.info(buf=buffer)
         >>> s = buffer.getvalue()
-        >>> with open("df_info.txt", "w", encoding="utf-8") as f:
+        >>> with open("df_info.txt", "w",
+        ...           encoding="utf-8") as f:  # doctest: +SKIP
         ...     f.write(s)
         260
 

pandas/core/generic.py

@@ -2069,25 +2069,26 @@ def _repr_latex_(self):
     >>> df1 = pd.DataFrame([['a', 'b'], ['c', 'd']],
     ...                   index=['row 1', 'row 2'],
     ...                   columns=['col 1', 'col 2'])
-    >>> df1.to_excel("output.xlsx")
+    >>> df1.to_excel("output.xlsx")  # doctest: +SKIP
 
     To specify the sheet name:
 
-    >>> df1.to_excel("output.xlsx", sheet_name='Sheet_name_1')
+    >>> df1.to_excel("output.xlsx",
+    ...              sheet_name='Sheet_name_1')  # doctest: +SKIP
 
     If you wish to write to more than one sheet in the workbook, it is
     necessary to specify an ExcelWriter object:
 
     >>> df2 = df1.copy()
-    >>> with pd.ExcelWriter('output.xlsx') as writer:
+    >>> with pd.ExcelWriter('output.xlsx') as writer:  # doctest: +SKIP
     ...     df1.to_excel(writer, sheet_name='Sheet_name_1')
     ...     df2.to_excel(writer, sheet_name='Sheet_name_2')
 
     To set the library that is used to write the Excel file,
     you can pass the `engine` keyword (the default engine is
     automatically chosen depending on the file extension):
 
-    >>> df1.to_excel('output1.xlsx', engine='xlsxwriter')
+    >>> df1.to_excel('output1.xlsx', engine='xlsxwriter')  # doctest: +SKIP
     """
 
     def to_json(self, path_or_buf=None, orient=None, date_format=None,