Fix the error on this Python code and make sure that getting expected output (see the picture of expected output):

Error: "Value Error: too many values tounpack" (expected 2)

Code:

import numpy as npfrom statistics import meanimport matplotlib as pltimport matplotlib.pyplot as pltfrom random import randrangedef takeHalfTest(a,b,oper,order):    asOrig=np.random.randint(1,7,a)     if(order==1):         as1=np.sort(asOrig)      else:        as1=-np.sort(-asOrig)    as1=as1[0:b]     out=0     if(oper==1):        out=min(as1)     elif(oper==2):        out=max(as1)    elif(oper==3):        out=mean(as1)     else:        diffs=np.diff(as1)         dMin=np.min(diffs)         j=np.argmin(diffs)         if(dMin
                               # results += [a1,b1,oper1,order1, a2,b2,oper2,order2,1, counter1/m]                               # results += [a1,b1,oper1,order1, a2,b2,oper2,order2,2, counter2/m]                                results += [counter1/m]                                results += [counter2/m]print(results)
ps = resultsf,p = plt.hist(ps,100)f = f / np.trapz(p,f)plt.plot(p,f)grid('on')plt.xlabel('P(procedure)')plt.ylabel('freq.')plt.title('Probabilities of diff. procedures')
The Output of this code is: This is error message whilevisualizing the data
This is the expected result: Modify the code so that getthe result like this

ValueError in 36 37 ps results ---> -> 38 fp = plt.hist(ps, 100) 39 f f/np.trapz (p, f) 40 plt.plot(p, f) ValueError: too many values to unpack (expected 2) 80 70 60 50 40 30 20 10 0 0.0 = 0.2 0.4 b ALD 0.6 Traceback (most 0.8