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# Python Data Science Matplotlib Numpy Random Seaborn sns.distplot

Visualizing Random Data Distributions With Seaborn

Seaborn is a library which is used to visualize random data distributions, Seaborn uses Matplotlib underneath to plot graphs.

Example 1: Plotting a distplot random data distribution plot with seaborn.

Code

import matplotlib.pyplot as plt
import seaborn as sns

sns.distplot([0, 1, 2, 3, 4, 5, 6, 7])

plt.show()

the output will be

Installing Seaborn

If you have Python and PIP already installed on a system, install it using the command below.

If you use Jupyter, install Seaborn using the command below.

Plotting A Distplots: Distplot stands for data distribution plot, it takes as input an array and plots a curve corresponding to the distribution of points in the array.

Import Matplotlib
Import the pyplot object of the Matplotlib module in your code using the following statement.
import matplotlib.pyplot as plt

Import Seaborn
Import the Seaborn module in your code using the following statement.
import seaborn as sns

Plot a Distribution Plot

Example 2: Plotting a distplot with seaborn.

Code

import matplotlib.pyplot as plt
import seaborn as sns

sns.distplot([0, 1, 2, 3, 4, 5, 6, 7])

plt.show()

the output will be

Plotting a Distplot data distribution plot Without the Histogram

Example 3:plot a distplot without histogram.

Code

import matplotlib.pyplot as plt
import seaborn as sns

sns.distplot([0, 1, 2, 3, 4, 5, 6, 7], hist=False)

plt.show()

the output will be

Note: We have used: sns.distplot(arr, hist=False) to visualize random data distributions.