Python 如何在这段代码中生成两次随机数？

在下面的代码中，我生成随机数，然后计算概率并创建图表。现在，我怎样才能使图形两次，就像我想再次生成随机数，然后再次创建图形一样

#!/usr/bin/env python3
from collections import Counter
import numpy as np
import matplotlib.pyplot as plt

#Random Number Generating
x = np.random.randint(low=1, high=100, size=100000)


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()

---

您可以根据需要调用函数

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

def my_funct():
   np.random.seed(1223) # fixing the seed! but I don't think you need it

   #Random Number Generating
   x = np.random.randint(low=1, high=100, size=100000)
   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()

---

将所有内容都放入函数中。调用该函数两次。（您想得到相同的随机数，还是不同的随机数？）如果您想复制精确的图形，请为随机数生成器设置一个显式种子。请参见：@ImportanceOfBeingErnest我从未在python中使用过函数。你能把这个代码用在函数中吗？相同的数字或其生成的随机数并不重要。@JohnColeman在我的代码中，我如何调用这个

numpy.random.seed（seed=None）

？