Upgrade to Pandas 2.x (#658)

* Upgrade to Pandas 2.x

* Retain 3.8 compatibility

* update changelog

Author: michaelnchin

ChangeLog.md

@@ -7,6 +7,7 @@ Starting with v1.31.6, this file will contain a record of major features and upd
 - Added `%create_graph_snapshot` line magic ([Link to PR](https://github.com/aws/graph-notebook/pull/653))
 - Added better `%reset` user messaging on status check timeout ([Link to PR](https://github.com/aws/graph-notebook/pull/652))
 - Modified the `%reset --snapshot` option to use the CreateGraphSnapshot API ([Link to PR](https://github.com/aws/graph-notebook/pull/654))
+- Upgraded `pandas` dependency to 2.x ([Link to PR](https://github.com/aws/graph-notebook/pull/658))
 - Upgraded `setuptools` dependency to 70.x ([Link to PR](https://github.com/aws/graph-notebook/pull/649))
 - Experimental support for Python 3.11 ([PR #1](https://github.com/aws/graph-notebook/pull/645)) ([PR #2](https://github.com/aws/graph-notebook/pull/656))
 - Updated sample SageMaker Lifecycle scripts ([Link to PR](https://github.com/aws/graph-notebook/pull/657))

requirements.txt

@@ -20,7 +20,7 @@ nbconvert>=6.3.0,<=7.2.8
 jedi>=0.18.1,<=0.18.2
 markupsafe<2.1.0
 itables>=2.0.0,<=2.1.0
-pandas>=1.3.5,<=1.5.3
+pandas>=2.0.0,<=2.2.2
 numpy<1.24.0
 nest_asyncio>=1.5.5,<=1.5.6
 async-timeout>=4.0,<5.0

setup.py

@@ -88,7 +88,7 @@ def get_version():
         'nbconvert>=6.3.0,<=7.2.8',
         'jedi>=0.18.1,<=0.18.2',
         'itables>=2.0.0,<=2.1.0',
-        'pandas>=1.3.5,<=1.5.3',
+        'pandas>=2.0.0,<=2.2.2',
         'numpy<1.24.0',
         'nest_asyncio>=1.5.5,<=1.5.6',
         'async-timeout>=4.0,<5.0'

src/graph_notebook/magics/graph_magic.py

@@ -244,7 +244,7 @@ def oc_results_df(oc_res, oc_res_format: str = None):
     if rows_and_columns:
         results_df = pd.DataFrame(rows_and_columns['rows'])
         results_df = results_df.astype(str)
-        results_df = results_df.applymap(lambda x: encode_html_chars(x))
+        results_df = results_df.map(lambda x: encode_html_chars(x))
         col_0_value = range(1, len(results_df) + 1)
         results_df.insert(0, "#", col_0_value)
         for col_index, col_name in enumerate(rows_and_columns['columns']):
@@ -292,7 +292,7 @@ def encode_html_chars(result):
 
 def decode_html_chars(results_df: pd.DataFrame = None) -> pd.DataFrame:
     for k, v in iter(DT_HTML_CHAR_MAP.items()):
-        results_df = results_df.applymap(lambda x: x.replace(v, k))
+        results_df = results_df.map(lambda x: x.replace(v, k))
 
     return results_df
 
@@ -896,7 +896,7 @@ def sparql(self, line='', cell='', local_ns: dict = None):
                         if rows_and_columns is not None:
                             results_df = pd.DataFrame(rows_and_columns['rows'])
                             results_df = results_df.astype(str)
-                            results_df = results_df.applymap(lambda x: encode_html_chars(x))
+                            results_df = results_df.map(lambda x: encode_html_chars(x))
                             results_df.insert(0, "#", range(1, len(results_df) + 1))
                             for col_index, col_name in enumerate(rows_and_columns['columns']):
                                 try: