python做频率统计图完整版 python

your code goes here from matplotlib import pyplot as plt
import pandas as pd
def linearCongruentialMethod(Xo, m, a, c, randomNums, U):

randomNums[0] = XoU[0] = randomNums[0] / mfor i in range(1, 10000):# Follow the linear congruential methodrandomNums[i] = ((randomNums[i - 1] * a) + c) % mU[i] = randomNums[i] / m

print("a = 1597, b = 0, m = 244944")
a = 1597
c = 0
m = 244944
i = 0.01
for i in range(1, 6):

X0 = i * 0.01print("\n X0 = ", X0, "\n")noOfRandomNums = 10005randomNums = [0] * (noOfRandomNums)U = [0] * (noOfRandomNums)linearCongruentialMethod(X0, m, a, c, randomNums, U)intervals = 20freq = [0] * (intervals)for j in U:x = 1x = j * 100 / 5freq[int(x)] = freq[int(x)] + 1mydata = https://www.it610.com/article/{'Interval': ['[0.00,0.05)', '[0.05,0.10)', '[0.10,0.15)', '[0.15,0.20)', '[0.20,0.25)', '[0.25,0.30)','[0.30,0.35)', '[0.35,0.40)', '[0.40,0.45)', '[0.45,0.50)', '[0.50,0.55)', '[0.55,0.60)','[0.60,0.65)', '[0.65,0.70)', '[0.70,0.75)', '[0.75,0.80)', '[0.80,0.85)', '[0.85,0.90)','[0.90,0.95)', '[0.95,1.00)'],'Freuency': freq}df = pd.DataFrame(mydata)print(df)data = https://www.it610.com/article/{'1': freq[0], '2': freq[1], '3': freq[2], '4': freq[3], '5': freq[4], '6': freq[5], '7': freq[6],'8': freq[7], '9': freq[8], '10': freq[9], '11': freq[10], '12': freq[11], '13': freq[12], '14': freq[13],'15': freq[14], '16': freq[15], '17': freq[16], '18': freq[17], '19': freq[18], '20': freq[19], }interval = list(data.keys())frequency = list(data.values())fig = plt.figure(figsize=(10, 5))plt.bar(interval, frequency, color='maroon', width=0.4)plt.show()

print("\na = 51749, b = 0, m = 244944")
【python做频率统计图完整版】a = 51749
c = 0
m = 244944
i = 0.01
for i in range(1, 6):

X0 = i * 0.01print("\n X0 = ", X0, "\n")noOfRandomNums = 10005randomNums = [0] * (noOfRandomNums)U = [0] * (noOfRandomNums)linearCongruentialMethod(X0, m, a, c, randomNums, U)intervals = 20freq = [0] * (intervals)for j in U:x = 1x = j * 100 / 5freq[int(x)] = freq[int(x)] + 1mydata = https://www.it610.com/article/{'Interval': ['[0.00,0.05)', '[0.05,0.10)', '[0.10,0.15)', '[0.15,0.20)', '[0.20,0.25)', '[0.25,0.30)','[0.30,0.35)', '[0.35,0.40)', '[0.40,0.45)', '[0.45,0.50)', '[0.50,0.55)', '[0.55,0.60)','[0.60,0.65)', '[0.65,0.70)', '[0.70,0.75)', '[0.75,0.80)', '[0.80,0.85)', '[0.85,0.90)','[0.90,0.95)', '[0.95,1.00)'],'Freuency': freq}df = pd.DataFrame(mydata)print(df)data = https://www.it610.com/article/{'1': freq[0], '2': freq[1], '3': freq[2], '4': freq[3], '5': freq[4], '6': freq[5], '7': freq[6],'8': freq[7], '9': freq[8], '10': freq[9], '11': freq[10], '12': freq[11], '13': freq[12], '14': freq[13],'15': freq[14], '16': freq[15], '17': freq[16], '18': freq[17], '19': freq[18], '20': freq[19], }interval = list(data.keys())frequency = list(data.values())fig = plt.figure(figsize=(10, 5))plt.bar(interval, frequency, color='blue', width=0.4)plt.show()

好买网 IT技术交易平台
壹脉销客V3.0.0版本，适合政企单位的宣传展示名片系统Java源码