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A guide that illustrates Python code for a series of common graphs using Python libraries pandas, matplotlib, seaborn, ggplot (aka plotnine) and plotly.

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Data Visualization with Python: pandas, matplotlib, seaborn, ggplot (plotnine) and plotly

by Nadia Muhe

The following guide illustrates Python code to generate a series of basic common graphs using different Python libraries. It shows how to create histograms, bar charts, boxplots and scatterplots using the pandas, matplotlib, seaborn, ggplot (aka plotnine) and plotly libraries. This guide is especially useful to compare the code need to generate the same type of graph.

See the Jupyter Notebooks file above to view the complete guide.

About

A guide that illustrates Python code for a series of common graphs using Python libraries pandas, matplotlib, seaborn, ggplot (aka plotnine) and plotly.

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1 star

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1 watching

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