How to use Matplotlib as the Plotting Library

matplotlib

Matplotlib is a plotting library used in python and written in python. Matplotlib is cross platform and released under Matplotlib license. We can get MATLAB like interface using Pyplot, which is a module in Matplotlib. It is free and Open-Source. Several tool kits are available which extend Matplotlib functionality such as,

Basemap
Cartopy
Excel tools
GTK tools
Natgrid and more …

By using Matplotlib we can visualize data in,

Bar Graph
Histogram
Scatter Plot
Area Plot
Pie Plot and some other ways

Let’s see what we can do with this powerful library.

Import

import matplotlib.pyplot as plt
from matplotlib import style

Graph

Basic Plot

plt.plot([1,2,3],[2,5,7])
plt.show()

Add Title and Labels

x=[2,4,8]
y=[4,8,24]
x1=[3,6,9]
y1=[20,12,15]

plt.plot(x,y)
plt.plot(x1,y1)

plt.title("Simple Graph")
plt.xlabel("Student ID")
plt.ylabel("Attendence")

plt.show()

Add Style : bmh

plt.style.use("bmh")

x=[2,4,8]
y=[4,8,24]
x1=[3,6,9]
y1=[20,12,15]

plt.plot(x,y)
plt.plot(x1,y1)

plt.title("Simple Graph")
plt.xlabel("Student ID")
plt.ylabel("Attendence")

plt.show()

Add Style : Classic

plt.style.use("classic")

x=[2,4,8]
y=[4,8,24]
x1=[3,6,9]
y1=[20,12,15]

plt.plot(x,y)
plt.plot(x1,y1)

plt.title("Simple Graph")
plt.xlabel("Student ID")
plt.ylabel("Attendence")

plt.show()

Add Style : Dark Background

plt.style.use("dark_background")

x=[2,4,8]
y=[4,8,24]
x1=[3,6,9]
y1=[20,12,15]

plt.plot(x,y)
plt.plot(x1,y1)

plt.title("Simple Graph")
plt.xlabel("Student ID")
plt.ylabel("Attendence")


plt.show()

Bar Graph

Basic Plot with Classic

plt.style.use("classic")

x1=[2,4,6]
y1=[3,6,9]
x2=[13,6,9]
y2=[20,12,15]
x3=[12,14,12]
y3=[2,3,12]

plt.bar(x1,y1)
plt.bar(x2,y2)
plt.bar(x3,y3)

plt.title("Simple Bar Graph")
plt.xlabel("Student ID")
plt.ylabel("Attendence")


plt.show()

Add Style: bmh

plt.style.use("bmh")

x1=[2,4,6]
y1=[3,6,9]
x2=[13,6,9]
y2=[20,12,15]
x3=[12,14,12]
y3=[2,3,12]

plt.bar(x1,y1)
plt.bar(x2,y2)
plt.bar(x3,y3)

plt.title("Simple Bar Graph")
plt.xlabel("Student ID")
plt.ylabel("Attendence")


plt.show()

Add Style : Dark Background

plt.style.use("dark_background")

x1=[2,4,6]
y1=[3,6,9]
x2=[13,6,9]
y2=[20,12,15]
x3=[12,14,12]
y3=[2,3,12]

plt.bar(x1,y1)
plt.bar(x2,y2)
plt.bar(x3,y3)

plt.title("Simple Bar Graph")
plt.xlabel("Student ID")
plt.ylabel("Attendence")


plt.show()

Histogram — Bar

Basic Plot with Classic

plt.style.use("classic")

numbers=[12,89,97,56,34,54,32,84,34,65,23,87,12,65,87,34]
jumps=[0,15,30,45,60,75,90,105]

plt.title("Simple Hostogram")
plt.xlabel("Marks")
plt.ylabel("No. of Students")

plt.hist(numbers,jumps,histtype='bar')

plt.show()

Histogram — Step

Basic Plot with Classic

plt.style.use("classic")

numbers=[12,89,97,56,34,54,32,84,34,65,23,87,12,65,87,34]
jumps=[0,15,30,45,60,75,90,105]

plt.title("Simple Hostogram")
plt.xlabel("Marks")
plt.ylabel("No. of Students")

plt.hist(numbers,jumps,histtype='step')

plt.show()

Pie Chart

Basic Plot with Classic

plt.style.use("classic")

foods=['pizza','ice cream','burgers']
sold=[20,35,12]
colors=['red','blue','yellow']

plt.pie(sold,labels=foods,colors=colors)
plt.show()

Add Style : Dark Background

plt.style.use("dark_background")

foods=['pizza','ice cream','burgers']
sold=[20,35,12]
colors=['red','blue','yellow']

plt.pie(sold,labels=foods,colors=colors)
plt.show()

Scatter Plot

Basic Plot with Classic

plt.style.use("classic")

x=[1,2,3,4,5]
y=[12,11,4,7,1]


plt.title("Simple Scatter Plot")
plt.xlabel("ID")
plt.ylabel("Attendance")

plt.scatter(x,y)
plt.show()

We can really do amazing things using Matplotlib. If you want to learn more, please refer to documentation of Matplotlib