Matplot lib Installation Examples for Understanding

1. PYTHON FOR MACHINE
LEARNING(MATPLOTLIB)
Dr. Amanpreet Kaur​
Associate Professor,
Chitkara University,
Punjab

2. MATPLOTLIB
2
• Matplotlib is one of the most popular Python packages used for data
visualization.
• It is a cross-platform library for making 2D plots from data in arrays.
• Matplotlib is written in Python and makes use of NumPy, the numerical
mathematics extension of Python.
• It provides an object-oriented API that helps in embedding plots in
applications using Python GUI toolkits such as PyQt, WxPythonot Tkinter.
• It can be used in Python and IPython shells, Jupyter notebook and web
application servers also.

3. 3
• Matplotlib has a procedural interface named the Pylab, which is
designed to resemble MATLAB, a proprietary programming
language developed by MathWorks.
• Matplotlib along with NumPy can be considered as the open
source equivalent of MATLAB.
• Matplotlib was originally written by John D. Hunter in 2003. The
current stable version is 2.2.0 released in January 2018.
• Below command in used to install Matplotlib
pip3 install matplotlib
MATPLOTLIB

4. 4
# importing the necessary packages and modules
import matplotlib.pyplot as plt
import numpy as np
# Prepare the data
x = np.linspace(0, 10, 100)
# Plot the data
plt.plot(x, x, label ='linear')
# Add a legend
plt.legend()
# Show the plot
plt.show()
MATPLOTLIB - EXAMPLE

5. 5
MATPLOTLIB - EXAMPLE
# importing the necessary packages and modules
import matplotlib.pyplot as plt
import numpy as np
plt.plot([1, 2, 3, 4], [1, 4, 9, 16], ‘ro’)
plt.axis([0, 6, 0, 20])
plt.show()

6. 6
MATPLOTLIB - EXAMPLE
import matplotlib.pyplot as plt
import numpy as np
data =np.random.randint(400,size=25)
# Return random integers from the “discrete uniform”
distribution of the specified dtype in the “half-open”
interval [low, high). If high is None (the default), then
results are from [0, low).
label = np.array(range(1,26))
plt.plot(label,data,'.')

7. PYTHON PROGRAMMING
7
Online Compiler:-
https://dataplatform.cloud.ibm.com/
https://jupyter.org/

8. PYTHON PROGRAMMING
8
E Books-
• Peter Harrington “Machine Learning In Action”, DreamTech
Press
• Ethem Alpaydın, “Introduction to Machine Learning”, MIT Press
Video Links-
• https://www.youtube.com/watch?v=BRMS3T11Cdw&list=PL3pGy4HtqwD2a
57wl7Cl7tmfxfk7JWJ9Y
• https://www.youtube.com/watch?v=EWmCkVfPnJ8&list=PL3pGy4HtqwD2a
57wl7Cl7tmfxfk7JWJ9Y&index=3

9. THANK YOU
aman_preet_k@yahoo.co.in