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In Matplotlib, we can draw multiple graphs in a single plot in two ways. One is by using subplot() function and other by superimposition of second graph on the first i.e, all graphs will appear on the same plot.
To create multiple plots use matplotlib. pyplot. subplots method which returns the figure along with Axes object or array of Axes object. nrows, ncols attributes of subplots() method determine the number of rows and columns of the subplot grid.
To plot multiple graphs on the same figure you will have to do:
from numpy import *
import math
import matplotlib.pyplot as plt
t = linspace(0, 2*math.pi, 400)
a = sin(t)
b = cos(t)
c = a + b
plt.plot(t, a, 'r') # plotting t, a separately
plt.plot(t, b, 'b') # plotting t, b separately
plt.plot(t, c, 'g') # plotting t, c separately
plt.show()
Perhaps a more pythonic way of doing so.
from numpy import *
import math
import matplotlib.pyplot as plt
t = linspace(0,2*math.pi,400)
a = sin(t)
b = cos(t)
c = a + b
plt.plot(t, a, t, b, t, c)
plt.show()
Just use the function plot as follows
figure()
...
plot(t, a)
plot(t, b)
plot(t, c)
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