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, heatmaps, …

Detailed examples of Network Graphs including changing color, size, log axes, and more in Python.

Plotly Python Open Source Graphing Library Basic Charts Plotly's Python graphing library makes interactive, publication-quality graphs online. Examples of how to make basic charts. Plotly Studio: …

Jun 22, 2023 · This step-by-step tutorial will guide you in building interactive web apps using Matplotlib, Python, and Dash. We'll begin by setting up the environment and installing the necessary libraries.

Graphs can be inputs as well as outputs: bind interactivity to the Dash `Graph` component whenever you hover, click, or select points on your chart.

The plotly Python library is an interactive, open-source plotting library that supports over 40 unique chart types covering a wide range of statistical, financial, geographic, scientific, and 3-dimensional use-cases.

Transform data into stunning apps in two minutes using agentic analytics with 10+ years of data visualization best practices. Generates charts and apps you never imagined, backed by clean Python …

Dash is the best way to build analytical apps in Python using Plotly figures. To run the app below, run pip install dash, click "Download" to get the code and run python app.py.

Built on top of d3.js and stack.gl, Plotly.js is a high-level, declarative charting library. plotly.js ships with over 40 chart types, including 3D charts, statistical graphs, and SVG maps.

Detailed examples of Tree-plots including changing color, size, log axes, and more in Python.