How to write multiplication function in normal distribution in Python?
I have an error in my code which is as follows, I want to fix this error.
TypeError:unsupported operand type(s) for *: 'Add' and " NormalDistribution"
How to write multiplication function in normal distribution in Python?
I have an error in my code which is as follows, I want to fix this error.
TypeError:unsupported operand type(s) for *: 'Add' and " NormalDistribution"
If your question is directly => "How to write multiplication function in normal distribution in Python?"
But, if you ask about your error, you should provide the code (people mentioned in the question comments).
Sample code for it:
import numpy as np
from scipy.stats import norm
mu = 0; sigma = 1
sample = np.random.normal(mu, sigma, size=10) # normal distribution series with numpy
result = sample * 2.0 # multiply with constant 2.0
print(result)
Output:
EDIT (after comments):
I created a sample code for PDF (assumption). I only focus on the multiplication "PDF * (expression)". I neglect the integral part due to the simplification. Maybe if u define it like that, u can express it. It may give u a hint:
Sample Code for multiplication of the distribution and expression:
import sympy as sp
# symbols
X, K_c, mu, sigma = sp.symbols('X K_c mu sigma')
# probability density function f(K_c)
f_Kc = (1 / (sigma * sp.sqrt(2 * sp.pi))) * sp.exp(-((K_c - mu)**2) / (2 * sigma**2))
expression = (X**2 + 2*X) * f_Kc # <= multiplication example
# set the derivative equal to zero and solve for X
solutions = sp.solve(expression, X)
# Print the solutions
print("Solutions for X:")
for sol in solutions:
print(sol)
Output: