8000 PEP8 moved examples · matplotlib/matplotlib@82adb61 · GitHub
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PEP8 moved examples
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‎examples/color/color_by_yvalue.py

Lines changed: 6 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -1,15 +1,15 @@
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"""
2-
===============
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Color By Yvalue
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===============
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================
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Color By y-value
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================
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Use masked arrays to plot a line with different colors by y-value.
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"""
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import numpy as np
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import matplotlib.pyplot as plt
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t = np.arange(0.0, 2.0, 0.01)
12-
s = np.sin(2*np.pi*t)
12+
s = np.sin(2 * np.pi * t)
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upper = 0.77
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lower = -0.77
@@ -19,5 +19,6 @@
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slower = np.ma.masked_where(s > lower, s)
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smiddle = np.ma.masked_where(np.logical_or(s < lower, s > upper), s)
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22-
plt.plot(t, smiddle, t, slower, t, supper)
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fig, ax = plt.subplots()
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ax.plot(t, smiddle, t, slower, t, supper)
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plt.show()

‎examples/color/color_demo.py

Lines changed: 7 additions & 7 deletions
Original file line numberDiff line numberDiff line change
@@ -22,12 +22,12 @@
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import matplotlib.pyplot as plt
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import numpy as np
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25-
plt.subplot(111, facecolor='darkslategray')
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#subplot(111, facecolor='#ababab')
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fig, ax = plt.subplots(facecolor='darkslategray')
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t = np.arange(0.0, 2.0, 0.01)
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s = np.sin(2*np.pi*t)
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plt.plot(t, s, 'C1')
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plt.xlabel('time (s)', color='C1')
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plt.ylabel('voltage (mV)', color='0.5') # grayscale color
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plt.title('About as silly as it gets, folks', color='#afeeee')
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s = np.sin(2 * np.pi * t)
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ax.plot(t, s, 'C1')
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ax.set_xlabel('time (s)', color='C1')
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ax.set_ylabel('voltage (mV)', color='0.5') # grayscale color
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ax.set_title('About as silly as it gets, folks', color='#afeeee')
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plt.show()

‎examples/images_contours_and_fields/contour_corner_mask.py

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -11,7 +11,7 @@
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# Data to plot.
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x, y = np.meshgrid(np.arange(7), np.arange(10))
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z = np.sin(0.5*x)*np.cos(0.52*y)
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z = np.sin(0.5 * x) * np.cos(0.52 * y)
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# Mask various z values.
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mask = np.zeros_like(z, dtype=np.bool)
@@ -24,7 +24,7 @@
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corner_masks = [False, True]
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for i, corner_mask in enumerate(corner_masks):
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plt.subplot(1, 2, i+1)
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plt.subplot(1, 2, i + 1)
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cs = plt.contourf(x, y, z, corner_mask=corner_mask)
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plt.contour(cs, colors='k')
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plt.title('corner_mask = {0}'.format(corner_mask))

‎examples/lines_bars_and_markers/barchart_demo2.py

Lines changed: 4 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -137,13 +137,13 @@ def plot_student_results(student, scores, cohort_size):
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align = 'left'
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else:
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# Shift the text to the left side of the right edge
140-
xloc = 0.98*width
140+
xloc = 0.98 * width
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# White on magenta
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clr = 'white'
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align = 'right'
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# Center the text vertically in the bar
146-
yloc = rect.get_y() + rect.get_height()/2.0
146+
yloc = rect.get_y() + rect.get_height() / 2.0
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label = ax1.text(xloc, yloc, rankStr, horizontalalignment=align,
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verticalalignment='center', color=clr, weight='bold',
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clip_on=True)
@@ -159,12 +159,13 @@ def plot_student_results(student, scores, cohort_size):
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'perc_labels': rect_labels,
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'cohort_label': cohort_label}
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student = Student('Johnny Doe', 2, 'boy')
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scores = dict(zip(testNames,
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(Score(v, p) for v, p in
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zip(['7', '48', '12:52', '17', '14'],
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np.round(np.random.uniform(0, 1,
167-
len(testNames))*100, 0)))))
168+
len(testNames)) * 100, 0)))))
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cohort_size = 62 # The number of other 2nd grade boys
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arts = plot_student_results(student, scores, cohort_size)

‎examples/pylab_examples/barb_demo.py

Lines changed: 6 additions & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -10,7 +10,7 @@
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x = np.linspace(-5, 5, 5)
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X, Y = np.meshgrid(x, x)
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U, V = 12*X, 12*Y
13+
U, V = 12 * X, 12 * Y
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data = [(-1.5, .5, -6, -6),
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(1, -1, -46, 46),
@@ -27,29 +27,29 @@
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ax.barbs(X, Y, U, V)
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# Arbitrary set of vectors, make them longer and change the pivot point
30-
#(point around which they're rotated) to be the middle
30+
# (point around which they're rotated) to be the middle
3131
ax = plt.subplot(2, 2, 2)
3232
ax.barbs(data['x'], data['y'], data['u'], data['v'], length=8, pivot='middle')
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# Showing colormapping with uniform grid. Fill the circle for an empty barb,
3535
# don't round the values, and change some of the size parameters
3636
ax = plt.subplot(2, 2, 3)
37-
ax.barbs(X, Y, U, V, np.sqrt(U*U + V*V), fill_empty=True, rounding=False,
37+
ax.barbs(X, Y, U, V, np.sqrt(U * U + V * V), fill_empty=True, rounding=False,
3838
sizes=dict(emptybarb=0.25, spacing=0.2, height=0.3))
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# Change colors as well as the increments for parts of the barbs
4141
ax = plt.subplot(2, 2, 4)
4242
ax.barbs(data['x'], data['y'], data['u'], data['v'], flagcolor='r',
43-
barbcolor=['b', 'g'], barb_increments=dict(half=10, full=20, flag=100),
44-
flip_barb=True)
43+
barbcolor=['b', 'g'],
44+
barb_increments=dict(half=10, full=20, flag=100), flip_barb=True)
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4646
# Masked arrays are also supported
4747
masked_u = np.ma.masked_array(data['u'])
4848
masked_u[4] = 1000 # Bad value that should not be plotted when masked
4949
masked_u[4] = np.ma.masked
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5151
# Identical plot to panel 2 in the first figure, but with the point at
52-
#(0.5, 0.25) missing (masked)
52+
# (0.5, 0.25) missing (masked)
5353
fig2 = plt.figure()
5454
ax = fig2.add_subplot(1, 1, 1)
5555
ax.barbs(data['x'], data['y'], masked_u, data['v'], length=8, pivot='middle')

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