Matplotlib.pyplot.xkcd() in Python

One of the main process in Data Science is Data Visualization. Data Visualization refers to present a dataset in the form of graphs and pictures. We can identify upcoming trend by observing these Graphs.

Python provides us with an amazing Data Visualization library in it which is Matplotlib which was developed by John Hunter (1968-2012). Matplotlib is built on numpy and sideby framework that's why it is fast and efficient. It is open-source and has huge community support.It possesses the ability to work well with many operating systems and graphic backends. 

matplotlib.pyplot.xkcd() function

Generally, plots generated by matplotlib are very perfect as well as monotonous. Observing these graphs are not that much fun. Matplotlib provides a library that can make these graphs a bit interesting and draws graphs in comic style. These graphs are interesting and everyone would love to study through these graphs. 

For Example :  

Parameters :
All three parameters in xkcd() are optional. 

Example 1: 

Lets generate a sine wave in xkcd() style  

import numpy as np
import matplotlib.pyplot as plt

time = np.arange(0, 10, 0.1);
amplitude = np.sin(time)

with plt.xkcd():
    plt.plot(time, amplitude)
    plt.title('Sine wave')
    plt.xlabel('Time')
    plt.ylabel('Amplitude = sin(time)')
    plt.axhline(y = 0, color ='k')
    
    plt.show()

Output : 

Example 2:

import numpy as np
import matplotlib.pyplot as plt


with plt.xkcd():
    plt.plot([1, 2, 3, 4], [5, 4, 9, 2])
    plt.title('matplotlib.pyplot.xkcd()')
    plt.axhline(y = 0, color ='k')
    
    plt.show()

Output: