matplotlib
diff --git a/‎doc/_static/contour_frontpage.png
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-9.33 KB b/‎doc/_static/contour_frontpage.png
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diff --git a/‎doc/_static/histogram_frontpage.png
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diff --git a/‎doc/_static/membrane_frontpage.png
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diff --git a/‎doc/_static/surface3d_frontpage.png
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diff --git a/‎examples/frontpage/plot_3D.py
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+1-1Lines changed: 1 addition & 1 deletion b/‎examples/frontpage/plot_3D.py
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diff --git a/‎examples/frontpage/plot_contour.py
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diff --git a/‎examples/frontpage/plot_histogram.py
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+1-1Lines changed: 1 addition & 1 deletion b/‎examples/frontpage/plot_histogram.py
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diff --git a/‎examples/frontpage/plot_membrane.py
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@@ -24,7 +24,7 @@
 region = np.s_[5:50, 5:50]
 x, y, z = x[region], y[region], z[region]
 
-fig, ax = plt.subplots(subplot_kw=dict(projection='3d'), figsize=(2.25, 2))
+fig, ax = plt.subplots(subplot_kw=dict(projection='3d'), figsize=(1.62, 1.38))
 
 ls = LightSource(270, 45)
 # To use a custom hillshading mode, override the built-in shading and pass
 
@@ -26,7 +26,7 @@
 levels = np.linspace(-2.0, 1.601, 40)
 norm = cm.colors.Normalize(vmax=abs(Z).max(), vmin=-abs(Z).max())
 
-fig, ax = plt.subplots(figsize=(2.25, 2))
+fig, ax = plt.subplots(figsize=(1.62, 1.38))
 cset1 = ax.contourf(
     X, Y, Z, levels,
     norm=norm)
 
@@ -13,7 +13,7 @@
 random_state = np.random.RandomState(19680801)
 X = random_state.randn(10000)
 
-fig, ax = plt.subplots(figsize=(2.25, 2))
+fig, ax = plt.subplots(figsize=(1.62, 1.38))
 ax.hist(X, bins=25, normed=True)
 x = np.linspace(-5, 5, 1000)
 ax.plot(x, 1 / np.sqrt(2*np.pi) * np.exp(-(x**2)/2), linewidth=4)
 
@@ -16,7 +16,7 @@
 x = np.fromstring(open(datafile, 'rb').read(), np.float32)
 # 0.0005 is the sample interval
 
-fig, ax = plt.subplots(figsize=(2.25, 2))
+fig, ax = plt.subplots(figsize=(1.62, 1.38))
 ax.plot(x, linewidth=4)
 ax.set_xlim(5000, 6000)
 ax.set_ylim(-0.6, 0.1)