import numpy as np
a = np.arange(0,60,5)
a = a.reshape(3,4)
print ("原数组是:",a)
for x in np.nditer(a, op_flags=['readwrite']):
x[...]=2*x
print ('修改后的数组是:',a)
weixin_39619451的博客在对地面进行分类之后,我尝试分割LiDAR点云。我正在使用numpy创建点云(pc)的“图像”,并遍历numpy...有没有办法提高这个循环的速度或避免这种循环?import numpy as npfrom math import ceil, floor'''In this c...
weixin_39988930的博客纽比广播如果不受内存限制,优化numpy中嵌套循环的第一步是使用广播并以矢量化的方式执行操作:import numpy as npdef mb_r(forecasted_array, observed_array):"""Returns the Mielke-Berry R value."""assert len...