Python | Matplotlib Graph plotting using object oriented API

In object-oriented API, first, we create a canvas on which we have to plot the graph and then we plot the graph. Many people prefer object-oriented API because it is easy to use as compared to functional API. Let's try to understand this with some examples. Example #1:

Python3 1==

# importing matplotlib library
import matplotlib.pyplot as plt

# x axis values
x =[0, 5, 3, 6, 8, 4, 5, 7]

# y axis values
y =[5, 3, 6, 3, 7, 5, 6, 8]

# creating the canvas
fig = plt.figure()

# setting the size of canvas
axes = fig.add_axes([0, 0, 1, 1])

# plotting the graph
axes.plot(x, y, 'mo--')

# displaying the graph
plt.show()

Output: Everything is pretty much clear in the first example but there is a thing that needs to be focused on, "Setting size of the canvas", what this basically means is to set the size of the figure on which you want to plot the graph, the syntax is like this.

add_axes([left, bottom, width, height])

The values of left, bottom, height and width lies between 0 to 1. Another example will make you more clear about this concept. Example #2:

Python3 1==

# importing matplotlib library
import matplotlib.pyplot as plt

# x-axis values
x =[0, 1, 2, 3, 4, 5, 6]

# y-axis values
y =[0, 1, 3, 6, 9, 12, 17]

# creating the canvas
fig = plt.figure()

# setting size of first canvas
axes1 = fig.add_axes([0, 0, 0.7, 1])

# plotting graph of first canvas
axes1.plot(x, y, 'mo--')

# setting size of second canvas
axes2 = fig.add_axes([0.1, 0.5, 0.3, 0.3])

# plotting graph of second canvas
axes2.plot(x, y, 'go--')

# displaying both graphs
plt.show()

Output:

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