Python programming notes: The full advanced beginners guide to learn basic and deep core concepts of python easily by Sudharshan

Author:Sudharshan [Sudharshan]
Language: eng
Format: epub
Publisher: UNKNOWN
Published: 2019-08-25T16:00:00+00:00

Section 108.2: Matplotlib

Matplotlib is a mathematical plotting library for Python that provides a variety of different plotting functionality.

The matplotlib documentation can be found here , with the SO Docs being available here.

Matplotlib provides two distinct methods for plotting, though they are interchangeable for the most part:

Firstly, matplotlib provides the pyplot interface, direct and simple-to-use interface that allows plotting of complex graphs in a MATLAB-like style.

Secondly, matplotlib allows the user to control the different aspects (axes, lines, ticks, etc) directly using an object-based system. This is more difficult but allows complete control over the entire plot.

Below is an example of using the pyplot interface to plot some generated data:

import matplotlib.pyplot as plt

# Generate some data for plotting.

x = [0 , 1 , 2 , 3 , 4 , 5 , 6 ]

y = [i**2 for i in x]

# Plot the data x, y with some keyword arguments that control the plot style.

# Use two different plot commands to plot both points (scatter) and a line (plot).

plt.scatter(x , y , c = 'blue' , marker = 'x' , s = 100 ) # Create blue markers of shape "x" and size 100 plt.plot(x , y , color = 'red' , linewidth = 2 ) # Create a red line with linewidth 2.

# Add some text to the axes and a title.

plt.xlabel('x data' )

plt.ylabel('y data' )

plt.title('An example plot' )

# Generate the plot and show to the user. plt.show()

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