Plotly's Python graphing library makes interactive, publication-quality graphs. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, …

Feb 3, 2022 · After scouring the internet for the most popular Python interactive plotting packages, I decided to test this set of tools: Bokeh; Plotly; Altair; mpld3; matplotlib + ipywidgets; Streamlit; pygal; bqplot; You can view the code that I wrote to create the figures for each of the tools on my GitHub repo in this Jupyter notebook. I encourage you to ...

Python's data visualization ecosystem includes Matplotlib, as a foundational tool, while top Python libraries for data visualization like Plotly and GeoPandas excel in interactive charts and geographical data visualization, respectively.

Oct 12, 2016 · Learn how to create interactive plots with Python with our 5 favorite Python visualization libraries. Make charts that you can embed online and distribute.

Jan 16, 2025 · Python libraries are reusable code modules that contain pre-written code. You can integrate it into your code to save time and effort. They cover many diverse domains, such as NumPy, which stands out for numerical computation and can very easily perform operations on large arrays and matrices.

Jan 16, 2025 · Plotly is an open-source Python library for creating interactive visualizations like line charts, scatter plots, bar charts and more. In this article, we will explore plotting in Plotly and covers how to create basic charts and enhance them with interactive features.

Interactivity can be invaluable when exploring plots. The pan/zoom and mouse-location tools built into the Matplotlib GUI windows are often sufficient, but you can also use the event system to build customized data exploration tools. Introduction to Figures.

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. Create publication quality plots. Make interactive figures that can zoom, pan, update. Customize visual style and layout. Export to many file formats.

plotly.py is an interactive, open-source, and browser-based graphing library for Python . Built on top of plotly.js, plotly.py is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more. plotly.py is MIT Licensed.

Plotly's Python graphing library makes interactive, publication-quality maps online. Deploy Python AI Dash apps on private Kubernetes clusters: Pricing | Demo | Overview | AI App Services. Dash is the best way to build analytical apps in Python using Plotly figures.