#!/usr/bin/python3

import numpy as np      # Numpy Library importieren
import matplotlib.pyplot as plt
from numpy.core.function_base import linspace    # Matplotlib für mathematische Plots
from scipy import signal # Rechteckkurve

x_min = 0   
x_max = 3
y_min = -2
y_max = 12

# Funktion definieren
x = np.linspace(x_min,x_max,1000)
f_x = 5*signal.square(2*np.pi*x) + 5
#g_x = -63.6 * np.cos(np.pi * 2 * x)

# Funktion plotten

plt.axis([x_min,x_max,y_min,y_max]) # xmin, xmax, ymin, ymax

plt.axhline(linewidth=2, color="gray")
plt.axvline(linewidth=2, color="gray")

plt.plot(x,f_x, label= r'$u(t)$' )
#plt.plot(x,g_x, label= r'$i_L(t)$')

plt.ylabel(r'$u$ / $V$', size='large', weight="bold", color='blue')
plt.xlabel(r'$t$ / $ms$', size='large', weight="bold", color='blue')

plt.grid(True)

plt.legend()

plt.show()