8000 pep8 fix e2* in examples dir part 2/2 · UIKit0/matplotlib@b680680 · GitHub
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pep8 fix e2* in examples dir part 2/2
Signed-off-by: Thomas Hisch <t.hisch@gmail.com>
1 parent cc7fc7f commit b680680

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‎examples/pylab_examples/scatter_custom_symbol.py

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@@ -5,7 +5,7 @@
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# unit area ellipse
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rx, ry = 3., 1.
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area = rx * ry * pi
8-
theta = arange(0, 2*pi+0.01, 0.1)
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theta = arange(0, 2*pi + 0.01, 0.1)
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verts = list(zip(rx/area*cos(theta), ry/area*sin(theta)))
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x, y, s, c = rand(4, 30)

‎examples/pylab_examples/scatter_hist.py

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@@ -11,7 +11,7 @@
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# definitions for the axes
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left, width = 0.1, 0.65
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bottom, height = 0.1, 0.65
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bottom_h = left_h = left+width+0.02
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bottom_h = left_h = left + width + 0.02
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rect_scatter = [left, bottom, width, height]
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rect_histx = [left, bottom_h, width, 0.2]

‎examples/pylab_examples/scatter_masked.py

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@@ -7,7 +7,7 @@
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y = 0.9*rand(N)
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area = pi*(10 * rand(N))**2 # 0 to 10 point radiuses
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c = sqrt(area)
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r = sqrt(x*x+y*y)
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r = sqrt(x*x + y*y)
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area1 = ma.masked_where(r < r0, area)
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area2 = ma.masked_where(r >= r0, area)
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scatter(x, y, s=area1, marker='^', c=c, hold='on')

‎examples/pylab_examples/scatter_profile.py

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@@ -21,4 +21,4 @@
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y = 0.9*pylab.rand(N)
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s = 20*pylab.rand(N)
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pylab.scatter(x, y, s)
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print('%d symbols in %1.2f s' % (N, time.time()-tstart))
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print('%d symbols in %1.2f s' % (N, time.time() - tstart))

‎examples/pylab_examples/simple_plot_fps.py

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@@ -10,7 +10,7 @@
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ion()
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t = arange(0.0, 1.0+0.001, 0.001)
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t = arange(0.0, 1.0 + 0.001, 0.001)
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s = cos(2*2*pi*t)
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plot(t, s, '-', lw=2)
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‎examples/pylab_examples/stackplot_demo.py

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@@ -1,7 +1,7 @@
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import numpy as np
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from matplotlib import pyplot as plt
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4-
fnx = lambda : np.random.randint(5, 50, 10)
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fnx = lambda: np.random.randint(5, 50, 10)
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y = np.row_stack((fnx(), fnx(), fnx()))
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x = np.arange(10)
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‎examples/pylab_examples/system_monitor.py

Lines changed: 3 additions & 3 deletions
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@@ -6,17 +6,17 @@
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def get_memory():
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"Simulate a function that returns system memory"
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return 100*(0.5+0.5*sin(0.5*pi*time.time()))
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return 100*(0.5 + 0.5*sin(0.5*pi*time.time()))
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def get_cpu():
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"Simulate a function that returns cpu usage"
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return 100*(0.5+0.5*sin(0.2*pi*(time.time()-0.25)))
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return 100*(0.5 + 0.5*sin(0.2*pi*(time.time() - 0.25)))
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def get_net():
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"Simulate a function that returns network bandwidth"
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return 100*(0.5+0.5*sin(0.7*pi*(time.time()-0.1)))
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return 100*(0.5 + 0.5*sin(0.7*pi*(time.time() - 0.1)))
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def get_stats():

‎examples/pylab_examples/tex_unicode_demo.py

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@@ -14,8 +14,8 @@
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figure(1, figsize=(6, 4))
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ax = axes([0.1, 0.1, 0.8, 0.7])
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t = arange(0.0, 1.0+0.01, 0.01)
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s = cos(2*2*pi*t)+2
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t = arange(0.0, 1.0 + 0.01, 0.01)
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s = cos(2*2*pi*t) + 2
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plot(t, s)
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xlabel(r'\textbf{time (s)}')

‎examples/pylab_examples/tricontour_demo.py

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@@ -69,7 +69,7 @@
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y = xy[:, 1]*180/3.14159
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x0 = -5
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y0 = 52
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z = np.exp(-0.01*((x-x0)*(x-x0) + (y-y0)*(y-y0)))
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z = np.exp(-0.01*((x - x0)*(x - x0) + (y - y0)*(y - y0)))
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triangles = np.asarray([
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[67, 66, 1], [65, 2, 66], [1, 66, 2], [64, 2, 65], [63, 3, 64],

‎examples/pylab_examples/tricontour_smooth_delaunay.py

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@@ -30,14 +30,14 @@
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def experiment_res(x, y):
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""" An analytic function representing experiment results """
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x = 2.*x
33-
r1 = np.sqrt((0.5-x)**2 + (0.5-y)**2)
34-
theta1 = np.arctan2(0.5-x, 0.5-y)
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r2 = np.sqrt((-x-0.2)**2 + (-y-0.2)**2)
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theta2 = np.arctan2(-x-0.2, -y-0.2)
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z = (4*(np.exp((r1/10)**2)-1)*30. * np.cos(3*theta1) +
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(np.exp((r2/10)**2)-1)*30. * np.cos(5*theta2) +
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r1 = np.sqrt((0.5 - x)**2 + (0.5 - y)**2)
34+
theta1 = np.arctan2(0.5 - x, 0.5 - y)
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r2 = np.sqrt((-x - 0.2)**2 + (-y - 0.2)**2)
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theta2 = np.arctan2(-x - 0.2, -y - 0.2)
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z = (4*(np.exp((r1/10)**2) - 1)*30. * np.cos(3*theta1) +
38+
(np.exp((r2/10)**2) - 1)*30. * np.cos(5*theta2) +
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2*(x**2 + y**2))
40-
return (np.max(z)-z)/(np.max(z)-np.min(z))
40+
return (np.max(z) - z)/(np.max(z) - np.min(z))
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#-----------------------------------------------------------------------------
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# Generating the initial data test points and triangulation for the demo

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