matplotlib
diff --git a/‎lib/matplotlib/tests/baseline_images/test_axes/polar_axes.png‎
-57 Bytes b/‎lib/matplotlib/tests/baseline_images/test_axes/polar_axes.png‎
-57 Bytes
diff --git a/‎lib/matplotlib/tests/baseline_images/test_simplification/fft_peaks.pdf‎
1.32 KB b/‎lib/matplotlib/tests/baseline_images/test_simplification/fft_peaks.pdf‎
1.32 KB
diff --git a/‎lib/matplotlib/tests/baseline_images/test_simplification/fft_peaks.png‎
3.92 KB b/‎lib/matplotlib/tests/baseline_images/test_simplification/fft_peaks.png‎
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diff --git a/‎lib/matplotlib/tests/baseline_images/test_simplification/fft_peaks.svg‎
Lines changed: 50 additions & 0 deletions b/‎lib/matplotlib/tests/baseline_images/test_simplification/fft_peaks.svg‎
Lines changed: 50 additions & 0 deletions
diff --git a/‎lib/matplotlib/tests/test_simplification.py‎
Lines changed: 19 additions & 2 deletions b/‎lib/matplotlib/tests/test_simplification.py‎
Lines changed: 19 additions & 2 deletions
diff --git a/‎src/path_converters.h‎
Lines changed: 9 additions & 5 deletions b/‎src/path_converters.h‎
Lines changed: 9 additions & 5 deletions
@@ -70,7 +70,7 @@ def test_noise():
     path = transform.transform_path(path)
     simplified = list(path.iter_segments(simplify=(800, 600)))
 
-    assert len(simplified) == 2662
+    assert len(simplified) == 2675
 
 def test_sine_plus_noise():
     np.random.seed(0)
@@ -87,7 +87,7 @@ def test_sine_plus_noise():
     path = transform.transform_path(path)
     simplified = list(path.iter_segments(simplify=(800, 600)))
 
-    assert len(simplified) == 279
+    assert len(simplified) == 628
 
 @image_comparison(baseline_images=['simplify_curve'])
 def test_simplify_curve():
@@ -116,6 +116,23 @@ def test_hatch():
 
     fig.savefig('hatch_simplify')
 
+@image_comparison(baseline_images=['fft_peaks'])
+def test_fft_peaks():
+    fig = plt.figure()
+    t = arange(65536)
+    ax = fig.add_subplot(111)
+    p1 = ax.plot(abs(fft(sin(2*pi*.01*t)*blackman(len(t)))))
+    ax.set_xticks([])
+    ax.set_yticks([])
+
+    fig.savefig('fft_peaks')
+
+    path = p1[0].get_path()
+    transform = p1[0].get_transform()
+    path = transform.transform_path(path)
+    simplified = list(path.iter_segments(simplify=(800, 600)))
+
+    assert len(simplified) == 13
 
 if __name__=='__main__':
     import nose
 
@@ -568,11 +568,15 @@ class PathSimplifier : protected EmbeddedQueue<9>
             }
             m_after_moveto = false;
 
+            /* NOTE: We used to skip this very short segments, but if
+               you have a lot of them cumulatively, you can miss
+               maxima or minima in the data. */
+
             /* Don't render line segments less than one pixel long */
-            if (fabs(*x - m_lastx) < 1.0 && fabs(*y - m_lasty) < 1.0)
-            {
-                continue;
-            }
+            /* if (fabs(*x - m_lastx) < 1.0 && fabs(*y - m_lasty) < 1.0) */
+            /* { */
+            /*     continue; */
+            /* } */
 
             /* if we have no orig vector, set it to this vector and
                continue.  this orig vector is the reference vector we
@@ -649,7 +653,7 @@ class PathSimplifier : protected EmbeddedQueue<9>
                 }
                 else
                 {
-                    if (paradNorm2 > m_dnorm2Min)
+                    if (paradNorm2 < m_dnorm2Min)
                     {
                         m_dnorm2Min = paradNorm2;
                         m_nextX = *x;