Added better image comparison test

fgivenx/test/test_plot.py

@@ -3,37 +3,90 @@
 from fgivenx.plot import plot, plot_lines
 import matplotlib.pyplot as plt
 import matplotlib
+from matplotlib.testing.decorators import image_comparison
 
 
-def test_plot():
+def gen_plot_data():
+    numpy.random.seed(0)
     nx = 100
     ny = 101
     x = numpy.linspace(0, 1, nx)
     y = numpy.linspace(0, 1, ny)
-    z = numpy.random.rand(ny, nx)
+    X, Y = numpy.meshgrid(x, y)
+    z = numpy.exp(-((X-0.5)**2+(Y-0.5)**2)/0.01)
+    return x, y, z
+
+
+@image_comparison(baseline_images=['plot'], extensions=['pdf'])
+def test_plot():
+    x, y, z = gen_plot_data()
 
     fig, ax = plt.subplots()
     cbar = plot(x, y, z, ax)
     assert type(cbar) is matplotlib.contour.QuadContourSet
 
+
+def test_plot_wrong_argument():
+    x, y, z = gen_plot_data()
     with pytest.raises(TypeError):
         plot(x, y, z, wrong_argument=None)
 
-    cbar = plot(x, y, z)
-    cbar = plot(x, y, z, smooth=1)
-    cbar = plot(x, y, z, rasterize_contours=True)
-    cbar = plot(x, y, z, lines=False)
 
+@image_comparison(baseline_images=['plot_no_ax'], extensions=['pdf'])
+def test_plot_no_ax():
+    plt.subplots()
+    x, y, z = gen_plot_data()
+    plot(x, y, z)
 
-def test_plot_lines():
+
+@image_comparison(baseline_images=['plot_smooth'], extensions=['pdf'])
+def test_plot_smooth():
+    plt.subplots()
+    x, y, z = gen_plot_data()
+    plot(x, y, z, smooth=1)
+
+
+@image_comparison(baseline_images=['plot_rasterize'], extensions=['pdf'])
+def test_plot_rasterize():
+    plt.subplots()
+    x, y, z = gen_plot_data()
+    plot(x, y, z, rasterize_contours=True)
+
+
+@image_comparison(baseline_images=['plot_nolines'], extensions=['pdf'])
+def test_plot_nolines():
+    plt.subplots()
+    x, y, z = gen_plot_data()
+    plot(x, y, z, lines=False)
+
+
+def gen_line_data():
+    numpy.random.seed(0)
     nx = 100
     nsamps = 150
     x = numpy.linspace(0, 1, nx)
-    m = numpy.random.normal(nsamps)
-    c = numpy.random.normal(nsamps)
+    m = numpy.random.normal(size=nsamps)
+    c = numpy.random.normal(size=nsamps)
     fsamps = numpy.outer(x, m) + c
+    return x, fsamps
+
+
+@image_comparison(baseline_images=['plot_lines'], extensions=['pdf'])
+def test_plot_lines():
+    x, fsamps = gen_line_data()
     fig, ax = plt.subplots()
     plot_lines(x, fsamps, ax)
 
+
+@image_comparison(baseline_images=['plot_lines_no_ax'], extensions=['pdf'])
+def test_plot_lines_no_ax():
+    x, fsamps = gen_line_data()
+    plt.subplots()
     plot_lines(x, fsamps)
-    plot_lines(x, fsamps, downsample=200)
+
+
+@image_comparison(baseline_images=['plot_lines_downsample'], extensions=['pdf'])
+def test_plot_lines_no_ax():
+    x, fsamps = gen_line_data()
+    plt.subplots()
+    plot_lines(x, fsamps, downsample=50)