matplotlib
diff --git a/‎galleries/examples/images_contours_and_fields/plot_streamplot.py
Lines changed: 3 additions & 3 deletions b/‎galleries/examples/images_contours_and_fields/plot_streamplot.py
Lines changed: 3 additions & 3 deletions
diff --git a/‎lib/matplotlib/tests/baseline_images/test_streamplot/streamplot_integration.pdf
-70.6 KB b/‎lib/matplotlib/tests/baseline_images/test_streamplot/streamplot_integration.pdf
-70.6 KB
diff --git a/‎lib/matplotlib/tests/baseline_images/test_streamplot/streamplot_integration.png
450 KB b/‎lib/matplotlib/tests/baseline_images/test_streamplot/streamplot_integration.png
450 KB
diff --git a/‎lib/matplotlib/tests/test_streamplot.py
Lines changed: 3 additions & 10 deletions b/‎lib/matplotlib/tests/test_streamplot.py
Lines changed: 3 additions & 10 deletions
@@ -110,9 +110,9 @@
 seed_pts = np.column_stack((np.full(n_seed, -1.75), np.linspace(-2, 2, n_seed)))
 
 _, axs = plt.subplots(3, 1, figsize=(6, 14))
-for i, max_val in enumerate([0.05, 1, 5]):
+for ax, max_val in zip(axs, [0.05, 1, 5]):
     t_start = time.time()
-    axs[i].streamplot(
+    ax.streamplot(
         x,
         y,
         vx,
@@ -131,7 +131,7 @@
         f"streamplot time: {time.time() - t_start:.2f} sec"
     if max_val == 1:
         text += "\n(default)"
-    axs[i].text(0.0, 0.0, text, ha="center", va="center")
+    ax.text(0.0, 0.0, text, ha="center", va="center")
 
 # Draw the cylinder
 th_circ = np.linspace(0, 2 * np.pi, 100)
 
@@ -100,8 +100,7 @@ def test_direction():
                    linewidth=2, density=2)
 
 
-@image_comparison(['streamplot_integration.pdf'],
-                  remove_text=True, style='mpl20', tol=0.1)
+@image_comparison(['streamplot_integration.png'], style='mpl20')
 def test_integration_options():
     # Linear potential flow over a lifting cylinder
     n = 50
@@ -118,8 +117,8 @@ def test_integration_options():
     seed_pts = np.column_stack((np.full(n_seed, -1.75), np.linspace(-2, 2, n_seed)))
 
     fig, axs = plt.subplots(3, 1, figsize=(6, 14))
-    for i, max_val in enumerate([0.05, 1, 5]):
-        axs[i].streamplot(
+    for ax, max_val in zip(axs, [0.05, 1, 5]):
+        ax.streamplot(
             x,
             y,
             vx,
@@ -133,12 +132,6 @@ def test_integration_options():
             integration_max_error_scale=max_val,
         )
 
-        text = f"integration_max_step_scale: {max_val}\n" \
-            f"integration_max_error_scale: {max_val}"
-        if max_val == 1:
-            text += "\n(default)"
-        axs[i].text(0.0, 0.0, text, ha="center", va="center")
-
     # Draw the cylinder
     th_circ = np.linspace(0, 2 * np.pi, 100)
     for ax in axs: