python plot – using numpy and matplotlib

Bydavs

Aug 4, 2023 #code, #math, #python

Using numpy and matplotlib, a sequence of sinusoids can be created, like a piece of art.

In this case, a nested iteration allows to overlay each plot over each other with an offset value that comes from the looping control variables.

Below the code and the result

Copy Code

from numpy import *
from matplotlib import *
from matplotlib.pyplot import *

t = arange(0.0, 1.0, 0.01)

fig = figure(1)

fig1 = fig.add_subplot(111)
#fig1.plot(t, sin(2*pi*t))
#fig1.grid(True)

for i in range(1,20):
	for j in range(1,30):
		fig1.plot(t, j*sin(2*pi*t/0.5+(i)), linewidth=0.2, color='black')

show()