Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.
Using python matplotlib, you can draw a different graph like below:
Line plot Histogram Bar Chart Pie Chart Scatterplots Area Plot Error charts Power Spectra etc. Other topics:
Subplots Save Figure Read & Show Image
As a machine learning engineer or data scientist, data analysis is a part of model development.
Looking numeric data, you can’t get correct insights.
So the best way to plot a graph using that data and take a decision for further process.
Data visualization is a process take after the data cleaning.
The matplotlib is depended on some third-party python library like NumPy.
The matplotlib installation process is very simple. If you are using Anaconda Navigator, then no need to install matplotlib. If you are using Python idle, PyCharm, Sublime Text, etc, then follow the below steps.
Open the command prompt or terminal and enter
pip install matplotlib
For plotting graph, need to import matplotlib in the python file. Here is two way to import matplotlib given below.
from matplotlib import pyplot as plt # importing pyplot module from matplotlib library
import matplotlib.pyplot as plt # importing pyplot module from
In the above code, we import the pyplot module from matplotlib for plot the graphs, like histogram, bar chart, pie plot, etc.