In [24]:

    

def toCm(kg):
    return (1400/(kg*9.8)) * 100

toCm(83)


    

    
Out[24]:





172.11703958691908

In [22]:

    

%matplotlib inline
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
import csv

x = []
y = []
z = []

# Let's add some specific values.
x.append(196)
y.append(None)
z.append(toCm(196))
print("196 -> " + str(toCm(196)))

x.append(143)
y.append(None)
z.append(toCm(143))
print("143 -> " + str(toCm(143)))

with open('data.csv','r') as csvfile:
    plots = csv.reader(csvfile, delimiter=',')
    for row in plots:
        x.append(float(row[0]))
        y.append(float(row[1]) + 23)
        z.append(toCm(float(row[0])))
        
plt.plot(x,y, label='Length official')
plt.plot(x,z, label='Length new')
plt.xlabel('kg')
plt.ylabel('cm')
plt.title('ToD')
plt.legend()


plt.show()


    

    




196 -> 72.8862973760933
143 -> 99.90009990009989






    

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