The result is:
This page shows an example of a plot with three waves in one axes using offsets. The PWM wave is the objective.
See also:
Python Matplotlib Tips: Draw several plots in one figure in Python Matplotlib.pyplot
Tips for drawing efficient figures using python matplotlib pyplot. You can brush up them by adding some additional options and settings.
pythonmatplotlibtips.blogspot.jp
In [1]:
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
import scipy as sp
import scipy.signal as signal
In [2]:
t = np.linspace(0, 5/50, 5000)
carwave = signal.sawtooth(2 * np.pi * 500 * t+1/2*np.pi, width=0.5)
sigwave = np.sin(2 * np.pi * 50 * t)
pwmwave = np.ones(t.shape[0])
pwmwave[np.where(sigwave < carwave)] = -1
In [3]:
#t = np.linspace(-4*np.pi,4*np.pi,100)
y1 = carwave
y2 = sigwave
y3 = pwmwave
c1,c2,c3 = "blue","green","red" # colors of each line and label
l1,l2,l3 = "PWM wave","Signal","Career" # labels of each line
o1,o2,o3 = 6,3,0 # offsets of each line
labels1 = [-1,0,1]
labels2 = [-1,0,1]
labels3 = [-1,0,1]
yticks1 = [la+o1 for la in labels1]
yticks2 = [la+o2 for la in labels2]
yticks3 = [la+o3 for la in labels3]
In [4]:
ytls = labels1+labels2+labels3
ytks = yticks1+yticks2+yticks3
In [5]:
plt.figure(figsize=(6,5),facecolor="w")
# plot each line
plt.plot(t*10**3,y3+o3,color=c3,label=l3)
plt.plot(t*10**3,y2+o2,color=c2,label=l2)
plt.plot(t*10**3,y1+o1,color=c1,label=l1)
# plot zero level for each line
plt.plot([t[0]*10**3,t[-1]*10**3],[o1,o1],color=c1,lw=0.5,label="")
plt.plot([t[0]*10**3,t[-1]*10**3],[o2,o2],color=c2,lw=0.5,label="")
plt.plot([t[0]*10**3,t[-1]*10**3],[o3,o3],color=c3,lw=0.5,label="")
plt.ylim(o3-1.5,o1+1.5)
plt.yticks(ytks,ytls)
plt.legend(loc="upper right",fontsize=8)
plt.xlabel("Time [ms]")
labs = plt.yticks()[1]
for i in range(len(labs)):
if i < len(labels1):
labs[i].set_color(c1)
elif i < len(labels1+labels2):
labs[i].set_color(c2)
else:
labs[i].set_color(c3)
plt.savefig("./pwm_in_one_axes_plot.png",dpi=250,bbox_inches="tight",pad_inches=0.02)
