matplotlib fully explained in detail with examples

MAtplotlib

2. Introduction to Matplotlib
•Matplotlib is a powerful data visualization library that allows you to
create all sorts of charts, plots and graph.
•It was introduced by John Hunter in the year 2002.
•It is great for exploring and presenting data in a visually appealing
way.
•One of the greatest benefits of visualization is that it allows us visual
access to huge amount of data in easily digestible visuals.
•Matplotlib consists of several plots like line, bar, scatter ,histogram
etc.

3. Installation of Matplotlib
Step 1 Check your Python installation
Before installing Matplotlib, ensure you have python installed on your system. Open your terminal
or command prompt and enter the “ python –version” command to check your python version.
Step 2 Open a Terminal or Command Prompt
Open a terminal or command prompt on your computer. The exact method varies depending on
your operating system.
Step 3 pip install Matplotlib in Python
To install Matplotlib, we can use Python’s package manager, pip. Enter the command : “pip install
matlotlib”.This command will download and install matplotlib and its dependencies. Wait for the
installation process to complete.

4. Step 4 Verify the installation
After the installation, you can verify it by running a simple python script. Create a python script
with the following script :
import matplotlib.pyplotas plt
plt.plot([1, 2, 3, 4])
plt.ylabel('Some numbers’)
plt.show()
Save the script and run it using the following command:
python verify_matplotlib.py
If Matplotlib is correctly installed a window displaying a simple plot should appear.
That’s it we have successfully installed Matplotlib in Python.

5. Basic plots in Matplotlib:
•Matplotlib consists of a wide variety of plots.
•These plots helps us to understand trends, patterns and to make
correlations.
•These plots are typical instruments for reasoning about quantative
information.

6. Line Plot: