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George Karanikolas
George Karanikolas

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Tutorial Matplotlib

#python #matplotlib #tutorial #data

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
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Import Matplotlib 

import matplotlib.pyplot as plt
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Create Title 

plt.title("Name")
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Create X and Y Labels 

plt.xlabel('Name')
plt.ylabel('Name')
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plt.xlabel('Name', color='red')
plt.ylabel('Name', color='#ff0000')
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Create Plot 

plt.plot()
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plt.plot(name_x, name_y)
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plt.plot(name_x, name_y, color='#ff0000')
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plt.plot(name_x, name_y, color='#ff0000', linestyle='--')
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plt.plot(name_x, name_y, color='#ff0000', linestyle='--', label="Name")
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Add Labels in Plot 

plt.legend()
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Show Plot 

plt.show()
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Save Plot In Image 

plt.savefig('name.png')
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plt.savefig('name.png', transparent = True) # Transparent Figure
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Close And Clear 

plt.cla() # Clear an axis
plt.clf() # Clear the entire figure
plt.close() # Close a window
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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()
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Github: https://github.com/SeijinD/Python-World/blob/master/main/extends_libraries/matplotlib.md

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