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Python offers a variety of powerful libraries for data visualization, making it easy to create insightful and visually appealing plots and charts. Here are some popular data visualization libraries in Python:
Matplotlib:
Seaborn:
Plotly:
Bokeh:
Altair:
Pandas Plotting:
plot()
function. It allows users to create basic plots directly from Pandas DataFrames.Holoviews:
Geopandas:
Wordcloud:
Dash:
These libraries cater to various needs, from simple static plots to interactive and complex visualizations. The choice of a specific library depends on the type of visualization required and personal preferences regarding syntax and features.
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