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August 29, 2015 10:34
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Taylor series with Python and Sympy part 2. Full article at http://www.firsttimeprogrammer.blogspot.com/2015/03/taylor-series-with-python-and-sympy.html
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import sympy as sy | |
import numpy as np | |
from sympy.functions import sin,cos | |
import matplotlib.pyplot as plt | |
plt.style.use("ggplot") | |
# Define the variable and the function to approximate | |
x = sy.Symbol('x') | |
f = sin(x) | |
# Factorial function | |
def factorial(n): | |
if n <= 0: | |
return 1 | |
else: | |
return n*factorial(n-1) | |
# Taylor approximation at x0 of the function 'function' | |
def taylor(function,x0,n): | |
i = 0 | |
p = 0 | |
while i <= n: | |
p = p + (function.diff(x,i).subs(x,x0))/(factorial(i))*(x-x0)**i | |
i += 1 | |
return p |
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