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code4.py
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76 lines (67 loc) · 1.69 KB
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# code
import scipy.stats as stats
import matplotlib.pyplot as plt
import statsmodels.api as sm
#Trace_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([])
master_list.sort()
print("\n---Trace_I-----\n")
#q-q plot
stats.probplot(master_list, dist="norm", plot=plt)
plt.title("Normal Q-Q plot")
plt.xlabel("X Axis")
plt.ylabel("Y Axis")
plt.show()
#Trace_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(61832)
master_list2.remove([])
master_list2.sort()
print("\n---Trace_B-----\n")
#q-q plot
stats.probplot(master_list2, dist="norm", plot=plt)
plt.title("Normal Q-Q plot")
plt.xlabel("X Axis")
plt.ylabel("Y Axis")
plt.show()
#Trace_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(61832)
master_list3.remove([])
master_list3.sort()
print("\n---Trace_IPB-----\n")
#q-q plot
stats.probplot(master_list3, dist="norm", plot=plt)
plt.title("Normal Q-Q plot")
plt.xlabel("X Axis")
plt.ylabel("Y Axis")
plt.show()