TheLazy.Dev
Portfolio GitHub

Blog

python |matplotlib |tutorial |data

Tutorial Matplotlib

seijind

George Karanikolas

Posted on March 11, 2020

Tutorial Matplotlib

What is Matplotlib?

Matplotlib is one of the most popular Python packages used for data visualization. It is a cross-platform library for making 2D plots from data in arrays. It provides an object-oriented API that helps in embedding plots in applications using Python GUI toolkits such as PyQt, WxPythonotTkinter. It can be used in Python and IPython shells, Jupyter notebook and web application servers also.
Matplotlib is often used along with package like NumPy.

Install Matplotlib 

pip install matplotlib
Enter fullscreen mode Exit fullscreen mode

Import Matplotlib 

import matplotlib.pyplot as plt
Enter fullscreen mode Exit fullscreen mode

Create Title 

plt.title("Name")
Enter fullscreen mode Exit fullscreen mode

Create X and Y Labels 

plt.xlabel('Name')
plt.ylabel('Name')
Enter fullscreen mode Exit fullscreen mode 
plt.xlabel('Name', color='red')
plt.ylabel('Name', color='#ff0000')
Enter fullscreen mode Exit fullscreen mode

Create Plot 

plt.plot()
Enter fullscreen mode Exit fullscreen mode 
plt.plot(name_x, name_y)
Enter fullscreen mode Exit fullscreen mode 
plt.plot(name_x, name_y, color='#ff0000')
Enter fullscreen mode Exit fullscreen mode 
plt.plot(name_x, name_y, color='#ff0000', linestyle='--')
Enter fullscreen mode Exit fullscreen mode 
plt.plot(name_x, name_y, color='#ff0000', linestyle='--', label="Name")
Enter fullscreen mode Exit fullscreen mode

Add Labels in Plot 

plt.legend()
Enter fullscreen mode Exit fullscreen mode

Show Plot 

plt.show()
Enter fullscreen mode Exit fullscreen mode

Save Plot In Image 

plt.savefig('name.png')
Enter fullscreen mode Exit fullscreen mode 
plt.savefig('name.png', transparent = True) # Transparent Figure
Enter fullscreen mode Exit fullscreen mode

Close And Clear 

plt.cla() # Clear an axis
plt.clf() # Clear the entire figure
plt.close() # Close a window
Enter fullscreen mode Exit fullscreen mode

Examples:

Example 1: 
import matplotlib.pyplot as plt

years_x = [2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018]
greece_y = [8.4,7.8,9.6,12.7,17.9,24.5,27.5,26.5,24.9,23.6,21.5,19.3]
europe_y = [7.2,7,9,9.6,9.7,10.5,10.9,10.2,9.4,8.6,7.6,6.8]

plt.title("Comparison of Unemployment")

plt.plot(years_x, greece_y, color='#ff0000', label="Greece")
plt.plot(years_x, europe_y, color='#00ff00', label="Europe", linestyle='--')

plt.xlabel('Years', color='#ff0000')
plt.ylabel('Percentage %', color='#ff0000')

plt.savefig('plot.png')

plt.legend()
plt.show()
Enter fullscreen mode Exit fullscreen mode

Github: https://github.com/SeijinD/Python-World/blob/master/main/extends_libraries/matplotlib.md

💖 💪 🙅 🚩
seijind
George Karanikolas

Posted on March 11, 2020

Join Our Newsletter. No Spam, Only the good stuff.

Sign up to receive the latest update from our blog.

Related

Tutorial Matplotlib
python Tutorial Matplotlib

March 11, 2020