Python Data Visualisation for Business Analyst – How to do Joy Plot in Python

(Python Data Visualisation Tutorials)

Python Data Visualisation for Business Analyst – How to do Joy Plot in Python

In this data visualisation tutorial, you will learn How to do Joy Plot in Python.

Joy Plot allows the density curves of different groups to overlap, it is a great way to visualize the distribution of a larger number of groups in relation to each other. It looks pleasing to the eye and conveys just the right information clearly. It can be easily built using the joypy package which is based on matplotlib.



Run this once before the plot’s code. The individual charts, however, may redefine its own aesthetics.

/* !pip install brewer2mpl */
import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns
import warnings; warnings.filterwarnings(action='once')

large = 22; med = 16; small = 12
params = {'axes.titlesize': large,
          'legend.fontsize': med,
          'figure.figsize': (16, 10),
          'axes.labelsize': med,
          'axes.titlesize': med,
          'xtick.labelsize': med,
          'ytick.labelsize': med,
          'figure.titlesize': large}
%matplotlib inline

/* Version */

How to do Joy Plot in Python

Download Code:


/* !pip install joypy */
/* Import Data */
mpg = pd.read_csv("mpg_ggplot2.csv")

/* Draw Plot */
plt.figure(figsize=(16,10), dpi= 80)
fig, axes = joypy.joyplot(mpg, column=['hwy', 'cty'], by="class", ylim='own', figsize=(14,10))

/* Decoration */
plt.title('Joy Plot of City and Highway Mileage by Class', fontsize=22)


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