matplotlib
diff --git a/‎lib/matplotlib/tests/test_image.py‎
Lines changed: 67 additions & 0 deletions b/‎lib/matplotlib/tests/test_image.py‎
Lines changed: 67 additions & 0 deletions
diff --git a/‎lib/matplotlib/tests/test_spy.py‎
Lines changed: 0 additions & 69 deletions b/‎lib/matplotlib/tests/test_spy.py‎
Lines changed: 0 additions & 69 deletions
@@ -17,6 +17,7 @@
                               NonUniformImage, PcolorImage)
 from matplotlib.testing.decorators import check_figures_equal, image_comparison
 from matplotlib.transforms import Bbox, Affine2D, TransformedBbox
+import matplotlib.ticker as mticker
 
 import pytest
 
@@ -1218,3 +1219,69 @@ def test_huge_range_log(fig_test, fig_ref):
     ax = fig_ref.subplots()
     im = ax.imshow(data, norm=colors.Normalize(vmin=100, vmax=data.max()),
                    interpolation='nearest', cmap=cmap)
+
+
+@check_figures_equal()
+def test_spy_box(fig_test, fig_ref):
+    # setting up reference and test
+    ax_test = fig_test.subplots(1, 3)
+    ax_ref = fig_ref.subplots(1, 3)
+
+    # plotting with spy
+    ax_test[0].set_title("ones")
+    ax_test[0].spy([[1, 1], [1, 1], ])
+    ax_test[1].set_title("zeros")
+    ax_test[1].spy([[0, 0], [0, 0], ])
+    ax_test[2].set_title("mixed")
+    ax_test[2].spy([[0, 1], [1, 0], ])
+
+    # plotting with imshow
+    ax_ref[0].set_title("ones")
+    ax_ref[0].imshow([[1, 1], [1, 1], ], interpolation='nearest',
+                        aspect='equal', origin='upper', cmap='Greys',
+                        vmin=0, vmax=1)
+    ax_ref[0].set_xlim(-0.5, 1.5)
+    ax_ref[0].set_ylim(1.5, -0.5)
+    ax_ref[0].xaxis.tick_top()
+    ax_ref[0].title.set_y(1.05)
+    ax_ref[0].xaxis.set_ticks_position('both')
+    ax_ref[0].xaxis.set_major_locator(
+        mticker.MaxNLocator(nbins=9, steps=[1, 2, 5, 10], integer=True)
+    )
+    ax_ref[0].yaxis.set_major_locator(
+        mticker.MaxNLocator(nbins=9, steps=[1, 2, 5, 10], integer=True)
+    )
+
+    ax_ref[1].set_title("zeros")
+    ax_ref[1].imshow([[0, 0], [0, 0], ], interpolation='nearest',
+                        aspect='equal', origin='upper', cmap='Greys',
+                        vmin=0, vmax=1)
+    ax_ref[1].set_xlim(-0.5, 1.5)
+    ax_ref[1].set_ylim(1.5, -0.5)
+    ax_ref[1].xaxis.tick_top()
+    ax_ref[1].title.set_y(1.05)
+    ax_ref[1].xaxis.set_ticks_position('both')
+    ax_ref[1].xaxis.set_major_locator(
+        mticker.MaxNLocator(nbins=9, steps=[1, 2, 5, 10], integer=True)
+    )
+    ax_ref[1].yaxis.set_major_locator(
+        mticker.MaxNLocator(nbins=9, steps=[1, 2, 5, 10], integer=True)
+    )
+
+    ax_ref[2].set_title("mixed")
+    ax_ref[2].imshow([[0, 1], [1, 0], ], interpolation='nearest',
+                        aspect='equal', origin='upper', cmap='Greys',
+                        vmin=0, vmax=1)
+    ax_ref[2].set_xlim(-0.5, 1.5)
+    ax_ref[2].set_ylim(1.5, -0.5)
+    ax_ref[2].xaxis.tick_top()
+    ax_ref[2].title.set_y(1.05)
+    ax_ref[2].xaxis.set_ticks_position('both')
+    ax_ref[2].xaxis.set_major_locator(
+        mticker.MaxNLocator(nbins=9, steps=[1, 2, 5, 10], integer=True)
+    )
+    ax_ref[2].yaxis.set_major_locator(
+        mticker.MaxNLocator(nbins=9, steps=[1, 2, 5, 10], integer=True)
+    )
+
+