Add a test for scatter autolim on log scale.

QuLogic · QuLogic · commit 279ec452a0f0 · 2020-10-16T02:30:56.000-04:00
This test is a distilled out of #16552.
diff --git a/lib/matplotlib/tests/test_collections.py b/lib/matplotlib/tests/test_collections.py
@@ -11,7 +11,7 @@
 import matplotlib.transforms as mtransforms
 from matplotlib.collections import (Collection, LineCollection,
                                     EventCollection, PolyCollection)
-from matplotlib.testing.decorators import image_comparison
+from matplotlib.testing.decorators import check_figures_equal, image_comparison
 
 
 def generate_EventCollection_plot():
@@ -301,6 +301,32 @@ def test_add_collection():
     assert ax.dataLim.bounds == bounds
 
 
+@pytest.mark.style('mpl20')
+@check_figures_equal(extensions=['png'])
+def test_collection_log_datalim(fig_test, fig_ref):
+    # Data limits should respect the minimum x/y when using log scale.
+    x_vals = [4.38462e-6, 5.54929e-6, 7.02332e-6, 8.88889e-6, 1.12500e-5,
+              1.42383e-5, 1.80203e-5, 2.28070e-5, 2.88651e-5, 3.65324e-5,
+              4.62363e-5, 5.85178e-5, 7.40616e-5, 9.37342e-5, 1.18632e-4]
+    y_vals = [0.0, 0.1, 0.182, 0.332, 0.604, 1.1, 2.0, 3.64, 6.64, 12.1, 22.0,
+              39.6, 71.3]
+
+    x, y = np.meshgrid(x_vals, y_vals)
+    x = x.flatten()
+    y = y.flatten()
+
+    ax_test = fig_test.subplots()
+    ax_test.set_xscale('log')
+    ax_test.set_yscale('log')
+    ax_test.margins = 0
+    ax_test.scatter(x, y)
+
+    ax_ref = fig_ref.subplots()
+    ax_ref.set_xscale('log')
+    ax_ref.set_yscale('log')
+    ax_ref.plot(x, y, marker="o", ls="")
+
+
 def test_quiver_limits():
     ax = plt.axes()
     x, y = np.arange(8), np.arange(10)
