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code5.py
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code5.py
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import pandas as pd
from statsmodels.graphics.tsaplots import plot_acf
import numpy as np
import matplotlib.pyplot as plt
# race_I
with open('race_I.txt', 'r') as f:
data = f.readlines()
master_list = []
lst = []
for i in data:
if '\n' in i:
master_list.append(lst)
lst = int(i)
else:
lst.append(i.replace('\n', ''))
master_list.append(61832)
master_list.remove([])
print("\nThe autocorrelation function for the given trace - Trace I\n")
master_list = np.array(master_list)
plt.figure(figsize=(10,5))
plt.plot(master_list)
plot_acf(master_list,lags = 90)
plt.show()
# race_B
with open('race_B.txt', 'r') as f:
data = f.readlines()
master_list2 = []
lst = []
for i in data:
if '\n' in i:
master_list2.append(lst)
lst = int(i)
else:
lst.append(i.replace('\n', ''))
master_list2.append(13144)
master_list2.remove([])
print("\nThe autocorrelation function for the given trace - Trace B\n")
master_list2 = np.array(master_list2)
plt.figure(figsize=(10,5))
plt.plot(master_list2)
plot_acf(master_list2,lags = 90)
plt.show()
# race_IPB
with open('race_IPB.txt', 'r') as f:
data = f.readlines()
master_list3 = []
lst = []
for i in data:
if '\n' in i:
master_list3.append(lst)
lst = int(i)
else:
lst.append(i.replace('\n', ''))
master_list3.append(13144)
master_list3.remove([])
print("\nThe autocorrelation function for the given trace - Trace IPB\n")
master_list3 = np.array(master_list3)
plt.figure(figsize=(10,5))
plt.plot(master_list3)
plot_acf(master_list3,lags = 90)
plt.show()