Learn Matplotlib for Data Science (Course III)July 9, 2020 2020-08-04 10:46
Learn Matplotlib for Data Science (Course III)
Introduction to Matplotlib Plots
Matplotlib is a data visualization library in Python used for plotting static, animated and interactive visualizations with a high level of flexibility. In Python, there are multiple kinds of Matplotlib plots available and in this course, we will go over everything required to start creating such Matplotlib plots.
Installing Matplotlib in Python using pip
Matplotlib can be installed using the Python Package Manager, pip, as follows:
$ pip install matplotlib
Note: If you are using Anaconda, Matplotlib comes pre-installed.
Importing Matplotlib in Python
Starting from this section onwards, we will be using Jupyter Notebooks as our Python IDE.
To import Matplotlib in Python, write the following code and run it:
# Libraries/Modules import conventions import numpy as np import matplotlib as mpl import matplotlib.pyplot as plt # For interactive matplotlib sessions, turn on the matplotlib inline mode %matplotlib inline
Check Matplotlib version in Python
To check the version of the installed Matplotlib library, write the following code and run it:
# Check version of matplotlib installed print(mpl.__version__) #Printed version: 3.1.1
The output of the code will be displayed as following in Jupyter Notebook:
If your Matplotlib version is greater than 3.0.0, then everything is now ready!
Now you can finally start plotting your own Matplotlib plots in Python. Head over to the next chapter and learn the basics of a Matplotlib plot.