Plotting the content of numpy arrays in matplotlib

Question

I am trying to plot the content of the arrays x and lj in the following code. However, the point in the plots are not the one inside the arrays. Can someone help me see the mistake I did ? I am still new in python.

from matplotlib import pyplot as plt 
import numpy as np
import math 

lj=np.arange(10, dtype=np.float).reshape(10,1)
x=np.arange(10, dtype=np.float).reshape(10,1)

lj.fill(0)
x.fill(0)

for i in range(len(x)):
    x[i,0]=i*0.1
    lj[i,0]=4.0*( (1.0/(x[i,0]+0.0000001) )**12 - ( 1.0/(x[i,0]+0.0000001) )**6 )
    

for i in range(len(x)):
    print(x[i,0],"\t\t\t",lj[i,0])

plt.plot(x,lj,"o")
plt.show()

This is the content of the arrayys and the follwoiing one is the plot done with plt.plot()

0.0                      4e+84
0.1                      3999948000335.996
0.2                      976494140.831542
0.30000000000000004      7521188.628402116
0.4                      237441.3028118298
0.5                      16127.960985650918
0.6000000000000001       1751.8371605495026
0.7000000000000001       254.9905579573781
0.8                      42.94879598363375
0.9                      6.636105087302215

This is the value at x=0 . the problem is with the other values after 0 in the x-axis — Mohammed Alhissi
– Mohammed Alhissi, Commented Mar 19, 2021 at 14:31
0 is the singularity, remove it from your data, you would see a better curve. — Quang Hoang
– Quang Hoang, Commented Mar 19, 2021 at 14:37

Abhijith · Accepted Answer · 2021-03-19 14:46:49Z

1

Almost division by zero The plot is correct, lj[0] is almost equal to infinity, remove the first element, to get a better curve

answered Mar 19, 2021 at 14:46

Abhijith

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