DOC: Fixed PR06 docstrings errors in pandas.ExcelWriter (#28723)

Author: LauraCollard

pandas/io/excel/_base.py

@@ -532,15 +532,15 @@ class ExcelWriter(metaclass=abc.ABCMeta):
 
     Parameters
     ----------
-    path : string
+    path : str
         Path to xls or xlsx file.
-    engine : string (optional)
+    engine : str (optional)
         Engine to use for writing. If None, defaults to
         ``io.excel.<extension>.writer``.  NOTE: can only be passed as a keyword
         argument.
-    date_format : string, default None
+    date_format : str, default None
         Format string for dates written into Excel files (e.g. 'YYYY-MM-DD')
-    datetime_format : string, default None
+    datetime_format : str, default None
         Format string for datetime objects written into Excel files
         (e.g. 'YYYY-MM-DD HH:MM:SS')
     mode : {'w', 'a'}, default 'w'
@@ -658,11 +658,11 @@ def write_cells(
         ----------
         cells : generator
             cell of formatted data to save to Excel sheet
-        sheet_name : string, default None
+        sheet_name : str, default None
             Name of Excel sheet, if None, then use self.cur_sheet
         startrow : upper left cell row to dump data frame
         startcol : upper left cell column to dump data frame
-        freeze_panes: integer tuple of length 2
+        freeze_panes: int tuple of length 2
             contains the bottom-most row and right-most column to freeze
         """
         pass
@@ -782,10 +782,10 @@ class ExcelFile:
 
     Parameters
     ----------
-    io : string, path object (pathlib.Path or py._path.local.LocalPath),
+    io : str, path object (pathlib.Path or py._path.local.LocalPath),
         a file-like object, xlrd workbook or openpypl workbook.
         If a string or path object, expected to be a path to xls, xlsx or odf file.
-    engine : string, default None
+    engine : str, default None
         If io is not a buffer or path, this must be set to identify io.
         Acceptable values are None, ``xlrd``, ``openpyxl`` or ``odf``.
         Note that ``odf`` reads tables out of OpenDocument formatted files.