diff --git a/lib/matplotlib/tests/test_lines.py b/lib/matplotlib/tests/test_lines.py
index a1ba6e764188..4b83ac05899a 100644
--- a/lib/matplotlib/tests/test_lines.py
+++ b/lib/matplotlib/tests/test_lines.py
@@ -4,15 +4,16 @@
from io import BytesIO
import itertools
-import matplotlib.lines as mlines
-import pytest
-from timeit import repeat
-import numpy as np
+import timeit
+
from cycler import cycler
+import numpy as np
+import pytest
import matplotlib
+import matplotlib.lines as mlines
import matplotlib.pyplot as plt
-from matplotlib.testing.decorators import image_comparison
+from matplotlib.testing.decorators import image_comparison, check_figures_equal
# Runtimes on a loaded system are inherently flaky. Not so much that a rerun
@@ -45,7 +46,7 @@ def test_invisible_Line_rendering():
# [here Interactive panning and zooming is pretty responsive]
# Time the canvas drawing:
- t_no_line = min(repeat(fig.canvas.draw, number=1, repeat=3))
+ t_no_line = min(timeit.repeat(fig.canvas.draw, number=1, repeat=3))
# (gives about 25 ms)
# Add the big invisible Line:
@@ -53,7 +54,7 @@ def test_invisible_Line_rendering():
# [Now interactive panning and zooming is very slow]
# Time the canvas drawing:
- t_unvisible_line = min(repeat(fig.canvas.draw, number=1, repeat=3))
+ t_unvisible_line = min(timeit.repeat(fig.canvas.draw, number=1, repeat=3))
# gives about 290 ms for N = 10**7 pts
slowdown_factor = (t_unvisible_line/t_no_line)
@@ -199,13 +200,7 @@ def test_nan_is_sorted():
assert not line._is_sorted([3, 5] + [np.nan] * 100 + [0, 2])
-def test_step_markers():
- fig, ax = plt.subplots()
- ax.step([0, 1], "-o")
- buf1 = BytesIO()
- fig.savefig(buf1)
- fig, ax = plt.subplots()
- ax.plot([0, 0, 1], [0, 1, 1], "-o", markevery=[0, 2])
- buf2 = BytesIO()
- fig.savefig(buf2)
- assert buf1.getvalue() == buf2.getvalue()
+@check_figures_equal()
+def test_step_markers(fig_test, fig_ref):
+ fig_test.subplots().step([0, 1], "-o")
+ fig_ref.subplots().plot([0, 0, 1], [0, 1, 1], "-o", markevery=[0, 2])
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