[backport 2.3.x] MNT: migrate from codecs.open to open (#62073) (#62325)

Co-authored-by: Nathan Goldbaum <nathan.goldbaum@gmail.com>

Author: jorisvandenbossche

pandas/tests/io/formats/test_to_latex.py

@@ -1,4 +1,3 @@
-import codecs
 from datetime import datetime
 from textwrap import dedent
 
@@ -42,15 +41,15 @@ def test_to_latex_to_file_utf8_with_encoding(self):
         df = DataFrame([["au\xdfgangen"]])
         with tm.ensure_clean("test.tex") as path:
             df.to_latex(path, encoding="utf-8")
-            with codecs.open(path, "r", encoding="utf-8") as f:
+            with open(path, encoding="utf-8") as f:
                 assert df.to_latex() == f.read()
 
     def test_to_latex_to_file_utf8_without_encoding(self):
         # test with utf-8 without encoding option
         df = DataFrame([["au\xdfgangen"]])
         with tm.ensure_clean("test.tex") as path:
             df.to_latex(path)
-            with codecs.open(path, "r", encoding="utf-8") as f:
+            with open(path, encoding="utf-8") as f:
                 assert df.to_latex() == f.read()
 
     def test_to_latex_tabular_with_index(self):

pandas/tests/io/test_common.py

@@ -513,19 +513,18 @@ def test_is_fsspec_url():
     assert icom.is_fsspec_url("RFC-3986+compliant.spec://something")
 
 
-@pytest.mark.parametrize("encoding", [None, "utf-8"])
 @pytest.mark.parametrize("format", ["csv", "json"])
-def test_codecs_encoding(encoding, format):
+def test_codecs_encoding(format):
     # GH39247
     expected = pd.DataFrame(
         1.1 * np.arange(120).reshape((30, 4)),
         columns=pd.Index(list("ABCD")),
         index=pd.Index([f"i-{i}" for i in range(30)]),
     )
     with tm.ensure_clean() as path:
-        with codecs.open(path, mode="w", encoding=encoding) as handle:
+        with open(path, mode="w", encoding="utf-8") as handle:
             getattr(expected, f"to_{format}")(handle)
-        with codecs.open(path, mode="r", encoding=encoding) as handle:
+        with open(path, encoding="utf-8") as handle:
             if format == "csv":
                 df = pd.read_csv(handle, index_col=0)
             else:

pandas/util/_print_versions.py

@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-import codecs
 import json
 import locale
 import os
@@ -139,7 +138,7 @@ def show_versions(as_json: str | bool = False) -> None:
             sys.stdout.writelines(json.dumps(j, indent=2))
         else:
             assert isinstance(as_json, str)  # needed for mypy
-            with codecs.open(as_json, "wb", encoding="utf8") as f:
+            with open(as_json, "w", encoding="utf-8") as f:
                 json.dump(j, f, indent=2)
 
     else: