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taylor_expansion.py
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taylor_expansion.py
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""" taylor_expansion.py
Taylor Series Approximation for given function using sympy notation.
"""
import matplotlib.pyplot as plt
import numpy as np
from sympy.functions import sin,cos,exp
import sympy as sy
plt.rcParams["figure.figsize"] = (12,8) # w, h
def factorial(k):
if k == 0:
return 1
acc = k
while k >1 :
k -= 1
acc = acc * k
return acc
def taylor(func, x_0, n):
"""
func: function to be expanded
x_0: about x_0
n: order
"""
x = sy.Symbol('x')
p = 0;
# n denotes upper index
for i in range(n+1):
p += (func.diff(x,i).subs(x,x_0)) * ((x-x_0)**i) / factorial(i)
return p
# approximation of first 'n' terms
def plot(function, x_upper_bound=None, appr_order=None, no_approx=False):
"""
function: simpy function to be passed
appr_order: degree of approximation polynom
x_upper_bound: Boundaries of x during the visualization
no_approx: Only plot the original function, mutually exclusive with above arguments
"""
x = sy.Symbol('x')
if not no_approx:
# approximation function,
appr_function = taylor(function, 0, appr_order)
x1 = np.linspace(-1 * x_upper_bound, x_upper_bound)
y1 = []
for k in x1:
y1.append(appr_function.subs(x,k))
plt.plot(x1,y1, label="approximation value")
plt.suptitle('Taylor Series Expansion for '+ str(function) +' \n order: ' + str(appr_order))
x_2 = np.linspace(-1*x_upper_bound,x_upper_bound)
y_2 = []
for k in x_2:
y_2.append(function.subs(x,k))
plt.plot(x_2, y_2, label="real value")
plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)
return plt.show()
def demo():
x = sy.Symbol('x')
plot(appr_order=3, x_upper_bound=4, function=sin(x))
plot(appr_order=3, x_upper_bound=4, function=exp(x))
plot(appr_order=5, x_upper_bound=4, function=x**2+x**3-3)
plot(appr_order=7, x_upper_bound=10, function=sin(x))
if __name__ == '__main__':
demo()