A matplotlib is an open-source Python library which used to plot the graphs. It is in the beginning conceived by the John D. Hunter in 2002. The model was released in 2003, and the modern day model is released 3.1.1 on 1 July 2019.
It represents the statistics through the graphical form. The graphical structure can be a Scatter Plot, Bar Graph, Histogram, Area Plot, Pie Plot, etc. The matplotlib library is commonly used to facts visualization. Data visualization lets in us to make a tremendous decision for organization.
Let’s see the installation of the matplotlib.
Installing the matplotlib
Before working with the matplotlib library, we want to deploy it in out Python environment. Let’s see the following approach of installing matplotlib library.
Using Anaconda distribution of Python
The Anaconda distribution is an easiest way to installation matplotlib library because matplotlib is pre-installed in it. So we don’t need to further installation.
Go to its official site and click the download button.
Select the download the version according to your Python interpreter configuration.
Installing Matplotlib using the Matplotlib
We can also install the matplotlib using the conda prompt. Open the conda prompt and type the following command.
conda install matplotlib
Using pip command
The pip can also use to deploy the matplotlib library. Open the command prompt, type the following command.
pip install matplotlib
Confirm the Installation
To affirm that matplotlib is mounted true or not, type the following command consists of calling .__version __ in the terminal.
import matplotlib
matplotlib.__version__
'3.1.1'
Now, we are ready to work with the matplotlib.