matplotlib
diff --git a/‎examples/color/color_by_yvalue.py
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+2-3Lines changed: 2 additions & 3 deletions b/‎examples/color/color_by_yvalue.py
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+2-3Lines changed: 2 additions & 3 deletions
diff --git a/‎examples/mplot3d/mixed_subplots.py
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+1-3Lines changed: 1 addition & 3 deletions b/‎examples/mplot3d/mixed_subplots.py
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+1-3Lines changed: 1 addition & 3 deletions
diff --git a/‎examples/showcase/mandelbrot.py
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+1-1Lines changed: 1 addition & 1 deletion b/‎examples/showcase/mandelbrot.py
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diff --git a/‎lib/matplotlib/tests/test_triangulation.py
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diff --git a/‎lib/matplotlib/tri/tritools.py
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+3-4Lines changed: 3 additions & 4 deletions b/‎lib/matplotlib/tri/tritools.py
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diff --git a/‎lib/mpl_toolkits/tests/test_mplot3d.py
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+1-3Lines changed: 1 addition & 3 deletions b/‎lib/mpl_toolkits/tests/test_mplot3d.py
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+1-3Lines changed: 1 addition & 3 deletions
@@ -1,6 +1,6 @@
 """
 ================
-Color By y-value
+Color by y-value
 ================
 
 Use masked arrays to plot a line with different colors by y-value.
@@ -14,10 +14,9 @@
 upper = 0.77
 lower = -0.77
 
-
 supper = np.ma.masked_where(s < upper, s)
 slower = np.ma.masked_where(s > lower, s)
-smiddle = np.ma.masked_where(np.logical_or(s < lower, s > upper), s)
+smiddle = np.ma.masked_where((s < lower) | (s > upper), s)
 
 fig, ax = plt.subplots()
 ax.plot(t, smiddle, t, slower, t, supper)
 
@@ -13,9 +13,7 @@
 
 
 def f(t):
-    s1 = np.cos(2*np.pi*t)
-    e1 = np.exp(-t)
-    return np.multiply(s1, e1)
+    return np.cos(2*np.pi*t) * np.exp(-t)
 
 
 # Set up a figure twice as tall as it is wide
 
@@ -20,7 +20,7 @@ def mandelbrot_set(xmin, xmax, ymin, ymax, xn, yn, maxiter, horizon=2.0):
     N = np.zeros_like(C, dtype=int)
     Z = np.zeros_like(C)
     for n in range(maxiter):
-        I = np.less(abs(Z), horizon)
+        I = abs(Z) < horizon
         N[I] = n
         Z[I] = Z[I]**2 + C[I]
     N[N == maxiter-1] = 0
 
@@ -1000,7 +1000,7 @@ def test_qhull_triangle_orientation():
     # github issue 4437.
     xi = np.linspace(-2, 2, 100)
     x, y = map(np.ravel, np.meshgrid(xi, xi))
-    w = np.logical_and(x > y - 1, np.logical_and(x < -1.95, y > -1.2))
+    w = (x > y - 1) & (x < -1.95) & (y > -1.2)
     x, y = x[w], y[w]
     theta = np.radians(25)
     x1 = x*np.cos(theta) - y*np.sin(theta)
 
@@ -180,12 +180,11 @@ def get_flat_tri_mask(self, min_circle_ratio=0.01, rescale=True):
         while nadd != 0:
             # The active wavefront is the triangles from the border (unmasked
             # but with a least 1 neighbor equal to -1
-            wavefront = ((np.min(valid_neighbors, axis=1) == -1)
-                         & ~current_mask)
+            wavefront = (np.min(valid_neighbors, axis=1) == -1) & ~current_mask
             # The element from the active wavefront will be masked if their
             # circle ratio is bad.
-            added_mask = np.logical_and(wavefront, mask_bad_ratio)
-            current_mask = (added_mask | current_mask)
+            added_mask = wavefront & mask_bad_ratio
+            current_mask = added_mask | current_mask
             nadd = np.sum(added_mask)
 
             # now we have to update the tables valid_neighbors
 
@@ -139,9 +139,7 @@ def test_lines3d():
                 pytest.param('svg', marks=pytest.mark.xfail(strict=False))])
 def test_mixedsubplots():
     def f(t):
-        s1 = np.cos(2*np.pi*t)
-        e1 = np.exp(-t)
-        return np.multiply(s1, e1)
+        return np.cos(2*np.pi*t) * np.exp(-t)
 
     t1 = np.arange(0.0, 5.0, 0.1)
     t2 = np.arange(0.0, 5.0, 0.02)