## What is Parallel Plot?

Parallel coordinates plot are commonly used to visualization of high dimensional datasets. There are two ways to plot parallel coordinates plot in python using `Pandas`

and using `Plotly`

interactive visualization library for parallel coordinates plot in python.

In this article, I will explain you about how to plot parallel coordinates plot in python using Pandas library.

## Installation of Packages

We will need numpy, matplotlib and Pandas packages to draw parallel coordinates plot in python. If you don’t have these packages installed on your system, install it using below commands.

pip install numpy pip install matplotlib import seaborn as sns

## Parallel Coordinate Plot in Python

Let’s see an example to plot parallel coordinate chart using Pandas library. Pandas `parallel_coordinates()`

function is used to plot parallel graph in python.

### Import libraries

Import numpy, matplotlib, seaborn and pandas libraries in our python code to get started with plotting parallel chart in python.

import pandas import matplotlib.pyplot as plt from pandas.plotting import parallel_coordinates import seaborn as sns

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### Prepare dataset

Seaborn have inbuilt datasets. we have loaded iris dataset from seaborn using `load_dataset `

function of seaborn.

We have stored dataset in variable data. We will plot the parallel plot for species.

data = sns.load_dataset('iris') parallel_coordinates(data, 'species', colormap=plt.get_cmap("Dark2_r"))

In the above code, we have used Pandas `parallel_coordinates `

function to create parallel coordinate plot. We passed the data variable ,species for plot. We have mapped the color of the graph using the colormap parameter of matplotlib.pyplot.

### Show Parallel Coordinate Plot

Using show() function to get graphical representation of plot.

plt.show()

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### Parallel Coordinates Plot in Python using Pandas Output

## Conclusion

I hope you found above article to plot parallel coordinates plot in python using Pandas library. We can customize parallel plot using different parameters. Parallel coordinates plot needs numeric values only, so check dataset once for avoiding further errors.