import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
#reading the data
test_data = pd.read_csv('testdata.csv')
sorted_data=test_data.sort_values(by='Data',ascending=True)
actual_frequencey_percentage=[]
prev= 0
totaldata= sorted_data.count()
cd=1/totaldata
print cd
for row in sorted_data.iterrows():
print row[1][0]
new = cd + prev
prev = new
actual_frequencey_percentage.append(new)
print(actual_frequencey_percentage)
plt.plot(sorted_data, actual_frequencey_percentage)
plt.show()
import pandas as pd
import matplotlib.pyplot as plt
#reading the data
test_data = pd.read_csv('testdata.csv')
sorted_data=test_data.sort_values(by='Data',ascending=True)
actual_frequencey_percentage=[]
prev= 0
totaldata= sorted_data.count()
cd=1/totaldata
print cd
for row in sorted_data.iterrows():
print row[1][0]
new = cd + prev
prev = new
actual_frequencey_percentage.append(new)
print(actual_frequencey_percentage)
plt.plot(sorted_data, actual_frequencey_percentage)
plt.show()
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