From 3b2c17fb8ea985e368e33a42342e4f3d8aa94df3 Mon Sep 17 00:00:00 2001
From: AsherHounsell <61854862+AsherHounsell@users.noreply.github.com>
Date: Sat, 9 Dec 2023 23:37:36 +0000
Subject: [PATCH 1/2] Added DateTime Test for triplot

---
 lib/matplotlib/tests/test_datetime.py | 11 +++++++++--
 1 file changed, 9 insertions(+), 2 deletions(-)

diff --git a/lib/matplotlib/tests/test_datetime.py b/lib/matplotlib/tests/test_datetime.py
index 3c8cc8b5b8bb..fd9dbbe45f55 100644
--- a/lib/matplotlib/tests/test_datetime.py
+++ b/lib/matplotlib/tests/test_datetime.py
@@ -746,11 +746,18 @@ def test_tripcolor(self):
         fig, ax = plt.subplots()
         ax.tripcolor(...)
 
-    @pytest.mark.xfail(reason="Test for triplot not written yet")
     @mpl.style.context("default")
     def test_triplot(self):
+        mpl.rcParams["date.converter"] = "concise"
         fig, ax = plt.subplots()
-        ax.triplot(...)
+        np.random.seed(19680801)
+
+        limit_value = 30
+        x_dates = np.array([datetime.datetime(2023, 12, n) for n in range(1, limit_value)])
+        x_dates_converted = mpl.dates.date2num(x_dates)
+        y_data = np.random.rand(limit_value - 1)
+
+        ax.triplot(x_dates_converted, y_data)
 
     @pytest.mark.xfail(reason="Test for violin not written yet")
     @mpl.style.context("default")

From 1a404f1875e412caa3e7c0657a65d67795ad34d1 Mon Sep 17 00:00:00 2001
From: AsherHounsell <61854862+AsherHounsell@users.noreply.github.com>
Date: Sat, 9 Dec 2023 23:43:55 +0000
Subject: [PATCH 2/2] Fixing Linting Errors

---
 lib/matplotlib/tests/test_datetime.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/lib/matplotlib/tests/test_datetime.py b/lib/matplotlib/tests/test_datetime.py
index fd9dbbe45f55..62e03faf9384 100644
--- a/lib/matplotlib/tests/test_datetime.py
+++ b/lib/matplotlib/tests/test_datetime.py
@@ -753,7 +753,9 @@ def test_triplot(self):
         np.random.seed(19680801)
 
         limit_value = 30
-        x_dates = np.array([datetime.datetime(2023, 12, n) for n in range(1, limit_value)])
+        x_dates = np.array(
+            [datetime.datetime(2023, 12, n) for n in range(1, limit_value)]
+        )
         x_dates_converted = mpl.dates.date2num(x_dates)
         y_data = np.random.rand(limit_value - 1)