检查变量

Question

目前我的代码采用向量并构成第三个：

for b in range(2047):
    for a in range(b+1,2048):
        vector1 = (l[b][0],l[b][1],l[b][2])
        vector2 = (l[a][0],l[a][1],l[a][2])

        x = vector1
        y = vector2
        vector3 = list(np.array(x) - np.array(y))

        dotProduct = reduce( operator.add, map( operator.mul, vector3, vector3))

        dp = dotProduct**.5
        data_points = dp


       bin = int(dp/bin_width)
          if bin < num_bins: 

            bins[bin][2] += 1.0/bin_volumes[bin]    

ps b = 36771.881 但我想说，如果（矢量3点积与b）大于（b点积b）/ 2 然后向量3 =向量3 - b

且if（Vector 3 dot product b）小于（-b dot product with b）/ 2

然后矢量3 =矢量3 + b

如何将它添加到我的循环中，以便每次创建向量3时它会检查这两种情况的向量3？

正在使用的包：

import operator
import matplotlib.pyplot as plt
import numpy as np

当前代码：

limit = 36771.881
for b in range(2047):
    for a in range(b+1,2048):
        vector1 = (l[b][0],l[b][1],l[b][2])
        vector2 = (l[a][0],l[a][1],l[a][2])

        x = vector1
        y = vector2
        vector3 = list(np.array(x) - np.array(y))

        dotProduct = reduce( operator.add, map( operator.mul, vector3, vector3))

        dp = dotProduct**.5
    data_points = dp
    if np.dot(data_points,limit) > (np.dot(limit,limit)
            dp = dp - limit
        bin = int(dp/bin_width)
            if bin < num_bins: 
            # add 1 to the count of that bin
                bins[bin][2] += 1.0/bin_volumes[bin]    
    else np.dot(data_points,limit) < (np.dot(-limit,limit)
       dp = dp + limit
       bin = int(dp/bin_width)
           if bin < num_bins: 
            # add 1 to the count of that bin
            bins[bin][2] += 1.0/bin_volumes[bin]    
   else if
        bin = int(dp/bin_width)
            if bin < num_bins: 
                # add 1 to the count of that bin
                bins[bin][2] += 1.0/bin_volumes[bin] 

Answer 1

对于两个数组a和b，numpy.dot返回内积（“点积”）。

如，

>>> import numpy as np
>>> x = np.array([4,5,6])
>>> y = np.array([1,2,3])
>>> np.dot(x,y)
32
>>> np.dot(x,y) == (x * y).sum()
True