I'm new to Python. I trying Sympy and Numpy.
I have this expression in sympy as follows
x, n = symbols('x n')
expression = (2/n)*sin(n*x)
f = lambdify( [x,n], expression, "numpy")
f(a,b)
x value ranges are like say a = numpy.linspace(0,numpy.pi)
n is a simple array, say b = numpy.linspace(1,6,6)
In paper, first I will substitute n values in the expression and then evaluate the expression at each values of x.
the last step of f(a,b) won't do my job. And it clearly won't.
I tried it, x = [numpy.linspace(0,numpy.pi) for x in range(6)]
But this is not the way I guess.
How I can do it?
Edit.
I tried using this and it works fine.
f = sympy.lambdify([x,n], (2/n)*sy.sin(n*x), "numpy")
a = numpy.linspace(0,numpy.pi)
y = f(a,1)+f(a,2)+f(a,3)+f(a,4)+f(a,5)+f(a,6)+f(a,7)
But I want to reach f(a,50).