在这段代码中，我生成了随机数，然后对这些随机数取一个概率，最后用直方图来完成。但现在我想在mapreduce中运行这段代码。如何创建mapper.py和reducer.py？

# !/usr/bin/env python3

import numpy as np
import matplotlib.pyplot as plt
from collections import Counter

def my_funct():
   #Random Number Generating
   x = np.random.randint(low=1, high=100, size=100000)
   #np.random.seed(1223) # fixing the seed
   counts = Counter(x)
   total = sum(counts.values())
   d1 = {k:v/total for k,v in counts.items()}
   grad = d1.keys()
   prob = d1.values()
   print(str(grad))
   print(str(prob))
   #bins = 20
   plt.hist(prob,bins=20, normed=1, facecolor='blue', alpha=0.5)
   #plt.plot(bins, hist, 'r--')
   plt.xlabel('Probability')
   plt.ylabel('Number Of Students')
   plt.title('Histogram of Students Grade')
   plt.subplots_adjust(left=0.15)

   plt.show()

# calling the function twice

my_funct()

# my_funct()