8000 Remove extraneous if 1 statements in demo_axisline_style.py · matplotlib/matplotlib@02abf44 · GitHub
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abhinuvpitaleQuLogic
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Remove extraneous if 1 statements in demo_axisline_style.py
* change proposed in issue #12191 removed the confusing if 1: as propsed in #12191 * change requested in #12191 * added main() to resolve comments from #12191 * update #12191 * flake-8 corrections #12191 * update ```plt.show``` for #12191 * flake8 update #12191
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2 files changed

+32
-20
lines changed

2 files changed

+32
-20
lines changed

‎examples/axisartist/demo_axisline_style.py

Lines changed: 15 additions & 15 deletions
Original file line numberDiff line numberDiff line change
@@ -10,23 +10,23 @@
1010
import matplotlib.pyplot as plt
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import numpy as np
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13-
if 1:
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fig = plt.figure()
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ax = SubplotZero(fig, 111)
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fig.add_subplot(ax)
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for direction in ["xzero", "yzero"]:
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# adds arrows at the ends of each axis
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ax.axis[direction].set_axisline_style("-|>")
14+
fig = plt.figure()
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ax = SubplotZero(fig, 111)
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fig.add_subplot(ax)
2117

22-
# adds X and Y-axis from the origin
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ax.axis[direction].set_visible(True)
18+
for direction in ["xzero" 8000 , "yzero"]:
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# adds arrows at the ends of each axis
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ax.axis[direction].set_axisline_style("-|>")
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25-
for direction in ["left", "right", "bottom", "top"]:
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# hides borders
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ax.axis[direction].set_visible(False)
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# adds X and Y-axis from the origin
23+
ax.axis[direction].set_visible(True)
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29-
x = np.linspace(-0.5, 1., 100)
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ax.plot(x, np.sin(x*np.pi))
25+
for direction in ["left", "right", "bottom", "top"]:
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# hides borders
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ax.axis[direction].set_visible(False)
3128

32-
plt.show()
29+
x = np.linspace(-0.5, 1., 100)
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ax.plot(x, np.sin(x*np.pi))
31+
32+
plt.show()

‎examples/event_handling/pick_event_demo.py

Lines changed: 17 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -74,7 +74,9 @@ def pick_handler(event):
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import numpy as np
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from numpy.random import rand
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77-
if 1: # simple picking, lines, rectangles and text
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def pick_simple():
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# simple picking, lines, rectangles and text
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fig, (ax1, ax2) = plt.subplots(2, 1)
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ax1.set_title('click on points, rectangles or text', picker=True)
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ax1.set_ylabel('ylabel', picker=True, bbox=dict(facecolor='red'))
@@ -101,7 +103,9 @@ def onpick1(event):
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102104
fig.canvas.mpl_connect('pick_event', onpick1)
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104-
if 1: # picking with a custom hit test function
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def pick_custom_hit():
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# picking with a custom hit test function
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# you can define custom pickers by setting picker to a callable
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# function. The function has the signature
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#
@@ -142,7 +146,8 @@ def onpick2(event):
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fig.canvas.mpl_connect('pick_event', onpick2)
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145-
if 1: # picking on a scatter plot (matplotlib.collections.RegularPolyCollection)
149+
def pick_scatter_plot():
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# picking on a scatter plot (matplotlib.collections.RegularPolyCollection)
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x, y, c, s = rand(4, 100)
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@@ -155,7 +160,9 @@ def onpick3(event):
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#fig.savefig('pscoll.eps')
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fig.canvas.mpl_connect('pick_event', onpick3)
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158-
if 1: # picking images (matplotlib.image.AxesImage)
163+
164+
def pick_image():
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# picking images (matplotlib.image.AxesImage)
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fig, ax = plt.subplots()
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im1 = ax.imshow(rand(10, 5), extent=(1, 2, 1, 2), picker=True)
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im2 = ax.imshow(rand(5, 10), extent=(3, 4, 1, 2), picker=True)
@@ -173,4 +180,9 @@ def onpick4(event):
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fig.canvas.mpl_connect('pick_event', onpick4)
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175182

176-
plt.show()
183+
if __name__ == '__main__':
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pick_simple()
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pick_custom_hit()
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pick_scatter_plot()
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pick_image()
188+
plt.show()

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