Seaborn by Example: Data Visualization and Plotting using Python

Seaborn by Example: Data Visualization and Plotting using Python

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Table of Contents

WIP Alert This is a work in progress. Current information is correct but more content may be added in the future.

Seaborn vs Matplotlib

Seaborn is not a replacement for Matplotlib.

  • Seaborn is a higher-level interface to Matplotlib.

    • It uses Matplotlib behind the scenes.

  • Seaborn has much tighter integration with Pandas.

    • For example, it uses the column's dtype to infer the best way to display the data.
Matplotlib Seaborn
Low-level High-level
Reasonably integrated with Pandas Tightly integrated with Pandas
Focus on flexibility and functionality Focus on convenience and visualization

Full notebook available on this link

Plot 1D data using distplot

distplot stands for Distribution Plot.

import numpy as np
import seaborn as sns

# draws 100 samples from a standard normal distribution
# (mean=0 and std-deviation=1)
x = np.random.normal(size=100)

sns.distplot(x)

Seaborn distplot using default arguments Plotting a 1-d numpy ndarray using default arguments using Seaborn's distplot

References

python data-visualization plotting

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