Data Visualization using Matplotlib Python
Hello all, This is the fifth article in the series Python for Data Science . If you are new to this series, we would recommend you to read our previous articles Python for Data Science Series - Part 1 Python for Data Science Series - Part 2 Using Numpy in Python Using Pandas in Python To install matplotlib in your python environment, please use the below command pip install matplotlib Please refer the videos below for detailed explanation on matplotlib After you have installed Matplotlib, please refer the following notebook to understand on how to use its functionalities. In [1]: #import matplotlib import matplotlib.pyplot as plt import numpy as np In [2]: # Data for plotting t = np . arange ( 0.0 , 2.0 , 0.01 ) t Out[2]: array([0. , 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1 , 0.11, 0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18, 0.19, 0.2 , 0.21, 0.22, 0.23, 0.24, 0.2...