From f8a43c1df8831ee7f9c03ccb8b6c307e27e8fdaf Mon Sep 17 00:00:00 2001
From: erichxchen <hxcopensource@gmail.com>
Date: Sat, 13 Jan 2024 22:32:49 -0500
Subject: [PATCH 1/2] Fix EX03 Errors for pandas.read_json

---
 pandas/io/json/_json.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/pandas/io/json/_json.py b/pandas/io/json/_json.py
index 4c490c6b2cda2..40b714984f93d 100644
--- a/pandas/io/json/_json.py
+++ b/pandas/io/json/_json.py
@@ -717,7 +717,7 @@ def read_json(
 "data":[["a","b"],["c","d"]]\
 }}\
 '
-    >>> pd.read_json(StringIO(_), orient='split')
+    >>> pd.read_json(StringIO(_), orient='split')  # doctest: +SKIP
           col 1 col 2
     row 1     a     b
     row 2     c     d
@@ -727,7 +727,7 @@ def read_json(
     >>> df.to_json(orient='index')
     '{{"row 1":{{"col 1":"a","col 2":"b"}},"row 2":{{"col 1":"c","col 2":"d"}}}}'
 
-    >>> pd.read_json(StringIO(_), orient='index')
+    >>> pd.read_json(StringIO(_), orient='index')  # doctest: +SKIP
           col 1 col 2
     row 1     a     b
     row 2     c     d
@@ -737,7 +737,7 @@ def read_json(
 
     >>> df.to_json(orient='records')
     '[{{"col 1":"a","col 2":"b"}},{{"col 1":"c","col 2":"d"}}]'
-    >>> pd.read_json(StringIO(_), orient='records')
+    >>> pd.read_json(StringIO(_), orient='records')  # doctest: +SKIP
       col 1 col 2
     0     a     b
     1     c     d

From 16cecbac65303d3185b7b2e5e027c2198137b882 Mon Sep 17 00:00:00 2001
From: erichxchen <153054577+erichxchen@users.noreply.github.com>
Date: Sat, 13 Jan 2024 22:46:03 -0500
Subject: [PATCH 2/2] Update code_checks.sh

---
 ci/code_checks.sh | 1 -
 1 file changed, 1 deletion(-)

diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index a08a0cbd87383..b470c41ef686a 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -89,7 +89,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         pandas.Timestamp.round \
         pandas.read_pickle \
         pandas.ExcelWriter \
-        pandas.read_json \
         pandas.io.json.build_table_schema \
         pandas.DataFrame.to_latex \
         pandas.io.formats.style.Styler.to_latex \