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@qytang326
qytang326 committed Aug 17, 2017
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1 change: 1 addition & 0 deletions codes/.idea/.name

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8 changes: 8 additions & 0 deletions codes/.idea/codes.iml

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30 changes: 30 additions & 0 deletions codes/.idea/misc.xml

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411 changes: 411 additions & 0 deletions codes/.idea/workspace.xml

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13 changes: 13 additions & 0 deletions codes/01/gotodefine.py
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# -*- coding: utf-8 -*-
"""
演示Wing IDE 101的goto define功能。使用Wing IDE 101或Spyder打开本程序之后，
按住Ctrl的同时点击signal, pl, HasTraits等跳转到定义它们的程序。
"""
from scipy import signal
import pylab as pl
from enthought.traits.api import HasTraits, Instance
from enthought.traits.ui.api import View, Item

signal.lfilter
pl.plot
pl.title
14 changes: 14 additions & 0 deletions codes/01/ipython_debug.py
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# -*- coding: utf-8 -*-
"""
本程序有BUG，不能正常运行。在IPython中执行本程序进行调试。
"""
import pylab as pl
import numpy as np

def test_debug():
x = np.linspace(1, 50, 10000)
img = np.sin(x*np.cos(x))
pl.imshow(img)
pl.show()

test_debug()
6 changes: 6 additions & 0 deletions codes/01/mymodel.py
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# -*- coding: utf-8 -*-
"""
一个简单模块，在usemode.py中使用其中的x和y。
"""
x = 100
y = 200
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13 changes: 13 additions & 0 deletions codes/01/speedup_test.py
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# -*- coding: utf-8 -*-
"""
载入几个重量级的扩展库。在IPython中使用run命令可以缩短
第二次运行程序启动时间。
"""
import numpy as np
from scipy import signal
import pylab as pl

t = np.linspace(0, 10, 1000)
x = signal.chirp(t, 5, 10, 30)
pl.plot(t, x)
pl.show()
12 changes: 12 additions & 0 deletions codes/01/spyder_interface.py
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# -*- coding: utf-8 -*-
"""
对图像进行浮雕处理
"""
import pylab as pl
import scipy as sp
img = sp.lena()
pl.imshow(img, cmap=pl.cm.gray)
img2 = img[:-2,1:-1]-img[2:,1:-1]+img[1:-1, :-2]-img[1:-1,2:]
pl.figure()
pl.imshow(img2, cmap=pl.cm.gray)
pl.show()
9 changes: 9 additions & 0 deletions codes/01/spyder_workspace.py
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# -*- coding: utf-8 -*-
"""
演示Spyder的Workspace，在Spyder中运行本程序之后，可以使用
Workspace查看x, y和img数组。
"""
import numpy as np
x = np.linspace(0.1, 10, 100)
y = np.sin(x)/x
img = np.random.random((10,10))
11 changes: 11 additions & 0 deletions codes/01/usemodel.py
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# -*- coding: utf-8 -*-
"""
输出mymodel.py模块中的x和y，为了显示最新的值，使用reload()强制
重新载入模块。
"""
import mymodel
import imp
imp.reload(mymodel)
from mymodel import *

print((x, y))
11 changes: 11 additions & 0 deletions codes/01/usemodel.py.bak
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# -*- coding: utf-8 -*-
"""
输出mymodel.py模块中的x和y，为了显示最新的值，使用reload()强制
重新载入模块。
"""
import mymodel
import imp
imp.reload(mymodel)
from mymodel import *

print(x, y)
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18 changes: 18 additions & 0 deletions codes/01/wingide_debug.py
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# -*- coding: utf-8 -*-
"""
使用TraitsUI制作的简单的界面程序。使用Wing IDE 101可以查看
按钮点击事件处理函数_button_fired的调用堆栈。
"""
from enthought.traits.api import HasTraits, Instance, Button, Int
from enthought.traits.ui.api import View, Item

class Demo(HasTraits):
count = Int(0)
button = Button("Click Me")
view = View(Item("button"), Item("count"))

def _button_fired(self):
self.count += 1

demo = Demo()
demo.configure_traits()
9 changes: 9 additions & 0 deletions codes/02/create_bmp.py
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# -*- coding: utf-8 -*-
"""
创建一个1000*1000的24bit的BMP图像。
"""
header = 'BM\xf6\xc6-\x00\x00\x00\x00\x006\x00\x00\x00(\x00\x00\x00\xe8\x03\x00\x00\xe8\x03\x00\x00\x01\x00\x18\x00\x00\x00\x00\x00\xc0\xc6-\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'
f = file("tmp.bmp","wb")
f.write(header)
f.write("\x00"*(1000*1000*3))
f.close()
100 changes: 100 additions & 0 deletions codes/02/height.csv
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18.0, 173.4
7.8, 126.2
8.5, 131.2
12.5, 155.0
7.4, 126.8
15.0, 170.4
7.1, 121.8
15.2, 169.3
19.2, 176.8
16.6, 175.2
18.7, 175.9
13.3, 160.4
19.1, 174.6
15.1, 169.9
16.7, 173.1
12.7, 155.8
19.3, 175.4
18.6, 174.4
11.8, 148.5
15.5, 172.5
17.2, 175.2
18.3, 175.6
7.1, 123.1
18.5, 170.8
7.4, 125.0
7.4, 128.4
9.8, 140.9
16.8, 175.8
10.0, 142.8
10.9, 146.3
9.4, 137.2
13.5, 163.2
15.8, 174.7
18.4, 174.3
10.4, 143.6
12.4, 153.3
7.1, 127.2
16.2, 171.9
12.2, 156.6
9.4, 135.4
16.6, 172.4
18.6, 176.8
9.9, 140.2
11.0, 148.0
18.3, 173.0
18.9, 172.0
10.1, 143.1
13.7, 165.0
15.2, 169.9
12.5, 153.6
15.9, 178.2
10.4, 143.7
17.2, 173.9
11.5, 151.1
12.5, 154.1
19.2, 178.8
8.6, 132.1
12.3, 153.6
9.3, 137.2
13.0, 161.0
18.3, 173.8
15.7, 176.3
13.0, 161.3
13.3, 160.0
18.8, 174.6
14.4, 166.6
14.0, 164.9
19.9, 173.9
8.8, 134.5
16.3, 171.4
8.0, 133.0
12.6, 153.2
7.9, 126.4
7.6, 131.2
13.4, 161.0
15.7, 172.7
10.7, 144.1
18.9, 175.7
15.6, 173.4
17.6, 175.3
17.8, 176.7
19.0, 173.0
10.2, 142.1
10.7, 143.5
11.5, 147.2
8.4, 130.6
9.6, 139.7
12.0, 151.4
12.1, 147.8
8.3, 131.0
9.4, 134.2
7.3, 123.5
13.7, 163.3
11.2, 145.9
13.8, 164.2
19.6, 175.9
19.0, 172.2
14.7, 169.1
15.8, 173.9
10.8, 145.0
45 changes: 45 additions & 0 deletions codes/02/numpy_access1d.py
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# -*- coding: utf-8 -*-
"""
演示一维数组的下标存取。
"""
import numpy as np

a = np.arange(10)
print(("a[5]", a[5]))
print(("a[3:5]", a[3:5]))
print(("a[:5]", a[:5]))
print(("a[:-1]", a[:-1]))
a[2:4] = 100,101
print(("a", a))
print(("a[1:-1:2]", a[1:-1:2]))
print(("a[::-1]", a[::-1]))
print(("a[5:1:-2]", a[5:1:-2]))

b = a[3:7]
print(b)
b[2] = -10
print(b)
print(a)

x = np.arange(10,1,-1)
print(x)
print(("x[[3, 3, 1, 8]]", x[[3, 3, 1, 8]]))
b = x[np.array([3,3,-3,8])]
b[2] = 100
print(b)
print(x)
x[[3,5,1]] = -1, -2, -3
print(x)

x = np.arange(5,0,-1)
print(x)
print((x[np.array([True, False, True, False, False])]))
print((x[[True, False, True, False, False]]))
print((x[np.array([True, False, True, True])]))
x[np.array([True, False, True, True])] = -1, -2, -3
print(x)

x = np.random.rand(10)
print(x)
print((x>0.5))
print((x[x>0.5]))
45 changes: 45 additions & 0 deletions codes/02/numpy_access1d.py.bak
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# -*- coding: utf-8 -*-
"""
演示一维数组的下标存取。
"""
import numpy as np

a = np.arange(10)
print("a[5]", a[5])
print("a[3:5]", a[3:5])
print("a[:5]", a[:5])
print("a[:-1]", a[:-1])
a[2:4] = 100,101
print("a", a)
print("a[1:-1:2]", a[1:-1:2])
print("a[::-1]", a[::-1])
print("a[5:1:-2]", a[5:1:-2])

b = a[3:7]
print(b)
b[2] = -10
print(b)
print(a)

x = np.arange(10,1,-1)
print(x)
print("x[[3, 3, 1, 8]]", x[[3, 3, 1, 8]])
b = x[np.array([3,3,-3,8])]
b[2] = 100
print(b)
print(x)
x[[3,5,1]] = -1, -2, -3
print(x)

x = np.arange(5,0,-1)
print(x)
print(x[np.array([True, False, True, False, False])])
print(x[[True, False, True, False, False]])
print(x[np.array([True, False, True, True])])
x[np.array([True, False, True, True])] = -1, -2, -3
print(x)

x = np.random.rand(10)
print(x)
print(x>0.5)
print(x[x>0.5])
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