Patch-Source: https://github.com/jsonpickle/jsonpickle/commit/a24240bfdec6a9d5172c2f25e19654d23ffc61e1
--
From a24240bfdec6a9d5172c2f25e19654d23ffc61e1 Mon Sep 17 00:00:00 2001
From: Theelx <43764914+Theelx@users.noreply.github.com>
Date: Fri, 26 May 2023 14:05:05 -0400
Subject: [PATCH] Implement compatibility with pandas 2

---
 jsonpickle/ext/pandas.py | 7 ++++++-
 requirements-dev.txt     | 2 +-
 setup.cfg                | 2 +-
 tests/pandas_test.py     | 2 +-
 4 files changed, 9 insertions(+), 4 deletions(-)

diff --git a/jsonpickle/ext/pandas.py b/jsonpickle/ext/pandas.py
index af7538b..94d8cd7 100644
--- a/jsonpickle/ext/pandas.py
+++ b/jsonpickle/ext/pandas.py
@@ -62,10 +62,13 @@ def make_read_csv_params(meta, context):
     parse_dates = []
     converters = {}
     timedeltas = []
+    # this is only for pandas v2+ due to a backwards-incompatible change
+    parse_datetime_v2 = {}
     dtype = {}
     for k, v in meta_dtypes.items():
         if v.startswith('datetime'):
             parse_dates.append(k)
+            parse_datetime_v2[k] = v
         elif v.startswith('complex'):
             converters[k] = complex
         elif v.startswith('timedelta'):
@@ -79,6 +82,7 @@ def make_read_csv_params(meta, context):
             dtype=dtype, header=header, parse_dates=parse_dates, converters=converters
         ),
         timedeltas,
+        parse_datetime_v2,
     )
 
 
@@ -104,7 +108,7 @@ class PandasDfHandler(BaseHandler):
 
     def restore(self, data):
         csv, meta = self.pp.restore_pandas(data)
-        params, timedeltas = make_read_csv_params(meta, self.context)
+        params, timedeltas, parse_datetime_v2 = make_read_csv_params(meta, self.context)
         # None makes it compatible with objects serialized before
         # column_levels_names has been introduced.
         column_level_names = meta.get('column_level_names', None)
@@ -115,6 +119,7 @@ class PandasDfHandler(BaseHandler):
         )
         for col in timedeltas:
             df[col] = pd.to_timedelta(df[col])
+        df = df.astype(parse_datetime_v2)
 
         df.set_index(decode(meta['index']), inplace=True)
         # restore the column level(s) name(s)
diff --git a/tests/pandas_test.py b/tests/pandas_test.py
index 403ead2..530449f 100644
--- a/tests/pandas_test.py
+++ b/tests/pandas_test.py
@@ -62,7 +62,7 @@ def test_dataframe_roundtrip():
             'an_inf': np.array([np.inf] * 3),
             'a_str': np.str_('foo'),
             'a_unicode': np.unicode_('bar'),
-            'date': np.array([np.datetime64('2014-01-01')] * 3),
+            'date': np.array([np.datetime64('2014-01-01')] * 3, dtype="datetime64[s]"),
             'complex': np.complex_([1 - 2j, 2 - 1.2j, 3 - 1.3j]),
             # TODO: the following dtypes are not currently supported.
             # 'object': np.object_([{'a': 'b'}]*3),