Question

Directly using mathematical expression, DO NOT USE the built-in Python functions, evaluate the Gaussian function forμ = 5, σ = 0.1. Make sure you plot your results

Now plot the Gaussian function using the built-in Python functions.

Answer 1

File Edit Selection View Go Run Terminal Help • Rough.py - Visual Stu one.py rough.java Rough.py. 1 C Rough.c Java Overview G+ rough.cpp C: > Users > shiva > OneDrive > Desktop > CSE Rough > & Rough.py > ... from matplotlib import pyplot as mp 2 import numpy as np 3 # function to calculate gaussian function 5 go 4 6 7 def gaussian(x, mu, sig): return 1./(np.sqrt(2. *np.pi)*sig) *np.exp(-np.power((x - mu)/sig, 2.)/2) 8 9 10 #mu = 5 #sig = 0.1 11 12 А 13 14 15 # plotting graph x_values = np.linspace(4.5, 5.5, 1200) for mu, sig in [(5, 0.1)]: mp.plot(x_values, gaussian(x_values, mu, sig)) 16 17 18 19 mp.show() 20

from matplotlib import pyplot as mp

import numpy as np

# function to calculate gaussian function

def gaussian(x, mu, sig):

    return 1./(np.sqrt(2.*np.pi)*sig)*np.exp(-np.power((x - mu)/sig, 2.)/2)

#mu = 5

#sig = 0.1

# plotting graph

x_values = np.linspace(4.5, 5.5, 1200)

for mu, sig in [(5, 0.1)]:

    mp.plot(x_values, gaussian(x_values, mu, sig))

mp.show()

4.0 3.5 3.0 -- 2.5 2.0 1.5 1.0 0.5 0.0 4.6 4.8 5.0 5.2 5.4

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