matplotlib
diff --git a/‎doc/_static/contour_frontpage.png
Copy file name to clipboard
-1.3 KB b/‎doc/_static/contour_frontpage.png
Copy file name to clipboard
-1.3 KB
diff --git a/‎doc/_static/histogram_frontpage.png
Copy file name to clipboard
-1.47 KB b/‎doc/_static/histogram_frontpage.png
Copy file name to clipboard
-1.47 KB
diff --git a/‎doc/_static/membrane_frontpage.png
Copy file name to clipboard
-2.27 KB b/‎doc/_static/membrane_frontpage.png
Copy file name to clipboard
-2.27 KB
diff --git a/‎doc/_static/surface3d_frontpage.png
Copy file name to clipboard
-4.61 KB b/‎doc/_static/surface3d_frontpage.png
Copy file name to clipboard
-4.61 KB
diff --git a/‎examples/frontpage/plot_contour.py
Copy file name to clipboardExpand all lines: examples/frontpage/plot_contour.py
+1-4Lines changed: 1 addition & 4 deletions b/‎examples/frontpage/plot_contour.py
Copy file name to clipboardExpand all lines: examples/frontpage/plot_contour.py
+1-4Lines changed: 1 addition & 4 deletions
diff --git a/‎examples/frontpage/plot_membrane.py
Copy file name to clipboardExpand all lines: examples/frontpage/plot_membrane.py
+1-1Lines changed: 1 addition & 1 deletion b/‎examples/frontpage/plot_membrane.py
Copy file name to clipboardExpand all lines: examples/frontpage/plot_membrane.py
+1-1Lines changed: 1 addition & 1 deletion
@@ -10,12 +10,9 @@
 import numpy as np
 from matplotlib import mlab, cm
 
-# Default delta is large because that makes it fast, and it illustrates
-# the correct registration between image and contours.
-delta = 0.5
-
 extent = (-3, 3, -3, 3)
 
+delta = 0.5
 x = np.arange(-3.0, 4.001, delta)
 y = np.arange(-4.0, 3.001, delta)
 X, Y = np.meshgrid(x, y)
 
@@ -13,7 +13,7 @@
 
 
 datafile = cbook.get_sample_data('membrane.dat', asfileobj=False)
-x = np.fromstring(open(datafile, 'rb').read(), np.float32)
+x = np.fromfile(datafile, np.float32)
 # 0.0005 is the sample interval
 
 fig, ax = plt.subplots(figsize=(1.62, 1.38))