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

Import Matplotlib

import matplotlib.pyplot as plt

Create Title

plt.title("Name")

Create X and Y Labels

plt.xlabel('Name')
plt.ylabel('Name')

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

Create Plot

plt.plot()

plt.plot(name_x, name_y)

plt.plot(name_x, name_y, color='#ff0000')

plt.plot(name_x, name_y, color='#ff0000', linestyle='--')

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

Add Labels in Plot

plt.legend()

Show Plot

plt.show()

Save Plot In Image

plt.savefig('name.png')

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

Close And Clear

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

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()