Python - Matplotlib

Rajesh Naik

9 months ago

Matplotlib is a python library used to create 2D graphs and plots by using python scripts. It has a module named pyplot which makes things easy for plotting by providing features to control line styles, font properties, formatting axes, etc. It supports a very wide variety of graphs and plots namely - histogram, bar charts, power spectra, error charts, etc. It is used along with NumPy to provide an environment that is an effective open-source alternative for MatLab. It can also be used with graphics toolkits like PyQt and wxPython.
Conventionally, the package is imported into the Python script by adding the following statement −
from matplotlib import pyplot as plt

Matplotlib Example

The following script produces the sine wave plot using matplotlib.

Example


import numpy as np 
import matplotlib.pyplot as plt  

# Compute the x and y coordinates for points on a sine curve 
x = np.arange(0, 3 * np.pi, 0.1) 
y = np.sin(x) 
plt.title("sine wave form") 

# Plot the points using matplotlib 
plt.plot(x, y) 
plt.show() 
Its output is as follows −
We will see lots of examples of using the Matplotlib library of python in data science work in the next chapters. For more learning log in to InsideAIML.

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