def F_gauss_sine(t):
dt = 10.0
omega = 1.5
return A*exp(-(t-40)**2/dt**2)*sin(t*omega)
def F_sine(t):
omega = 7.0e-1
return A*sin(t*omega)
def F_gauss_sine(t):
dt = 10.0
omega = 1.5
return A * exp(-(t - 40)**2 / dt**2) * sin(t * omega)
def F_sine(t):
omega = 7.0e-1
return A * sin(t * omega)
import scipy import matplotlib.pyplot as graph import math import scipy.special as sp samples=scipy.linspace(0,5,num=101) results=scipy.linspace(0,0,num=101) # Vector assignment results = sp.sin(samples*samples) # Plotting the graph graph.plot(samples,results,'ro',samples,results,'k') graph.show()
import scipy
import matplotlib.pyplot as graph
import math
import scipy.special as sp
samples=scipy.linspace(-3,+3,101)
results=scipy.linspace(0,0,101)
# Vector operation for each k
for k in range(1,11,2):
results += sp.sin(k*samples)/k
# Graph plotting
graph.plot(samples,results,'ro',samples,results,'k')
graph.show()
