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Introduction to Visualize Distributions with Seaborn

## In This Article, You Will learn about Visualize Distributions with Seaborn

Visualize Distributions with Seaborn – Before moving ahead, let’s know a bit of Python Numpy Tutorial

Seaborn is a library which uses Matplotlib for plotting graphs. It can be used to visualize random distributions.

Install Seaborn

Installation in Python –

`>pip install seaborn`

Installation in Jupyter

`>!pip install seaborn`

Displot

Distplot is an acronym for distribution plot. It takes in an array of points and plots a curve that corresponds to that distribution.

Import Matplotlib

import the pyplot object from Matplotlib into your code.

`import matplotlib.pyplot as plt`

You will learn later about Matplotlib Tutorial.

Import Seaborn

Import the Seaborn module into your code.

`import seaborn as kl`

Plotting a Displot

Example – Plotting a graph

```import matplotlib.pyplot as plt
import seaborn as kl

kl.distplot([11, 12, 13, 14, 15])

plt.show()```

As shown above, it returned a graph plotted with different points.

Plotting a Distplot Without the Histogram

Example – Plotting a graph without Histogram

```import matplotlib.pyplot as plt
import seaborn as kl

kl.distplot([11, 12, 13, 14, 15], hist=False)

plt.show()```

As it can be seen, it returned a graph plotted with different points.

If you find anything incorrect in the above-discussed topic and have any further questions, please comment below.

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