加速Python循环

发布时间：2019-09-25 08:19:08编辑：auto阅读（2461）

    1、使用for

    import numpy as np
from datetime import datetime

img=np.random.random([10000,10000])

start_time=datetime.now()
img2=[]
for i in img:
    for j in i:
        if j > 0.5:
            img2.append(1.)
        else:
            img2.append(0.)
print(type(img2)) # <class 'list'>
print(datetime.now()-start_time) # 0:00:27.886609

    2、使用list

    import numpy as np
from datetime import datetime

img=np.random.random([10000,10000])

start_time=datetime.now()
img2=[1. if j>0.5 else 0. for i in img for j in i]
print(datetime.now()-start_time) # 0:00:13.985333

    3、set

    import numpy as np
from datetime import datetime

img=np.random.random([10000,10000])

start_time=datetime.now()
img2={1. if j>0.5 else 0. for i in img for j in i}
print(type(img2)) # <class 'set'>
print(datetime.now()-start_time) # 0:00:15.446309

    4、附加 dict

    import numpy as np
from datetime import datetime

img=np.linspace(0,100,1000000)

start_time=datetime.now()
img2={x:x**2 for x in img}
print(type(img2)) # <class 'dict'>
print(datetime.now()-start_time) # 0:00:00.685456

关键字：

上一篇： Python实现进程同步和通信

下一篇： 3 Python文件操作