Python:矢量化/广播会提高速度吗?

目标: 将数组p1合并到p10以创建一个名为“a”的大型数组,并返回“a”中出现的所有值,4次。

问题: 这段代码非常慢,因为所有的循环都需要完成,我怎样才能使它更快?矢量化和/或广播是否有助于提高效率(是否有可能消除所有循环)?或者其他任何关于快速性的现成想法?

import numpy as np
import itertools
from numba import jit

p1 = np.random.randint(0,314000,200000)
p2 = np.random.randint(0,314000,100000)
p3 = np.random.randint(0,314000,300000)
p4 = np.random.randint(0,314000,150000)
p5 = np.random.randint(0,314000,220000)
p6 = np.random.randint(0,314000,320000)
p7 = np.random.randint(0,314000,212100)
p8 = np.random.randint(0,314000,100500)
p9 = np.random.randint(0,314000,300700)
p10 = np.random.randint(0,314000,200300)

@jit
def count(a,n):
 counters=np.zeros(10**6,np.int32)
 for i in a:
  counters[i] += 1
 res=np.empty_like(counters)
 k = 0    
 for i,j in enumerate(counters):
  if j == n:
   res[k] = i
   k += 1
 return res[:k]        


for t in range(0, 20000):
 a = itertools.chain(p1,p2,p3,p4,p5,p6,p7,p8,p9,p10)
 count(a,4)