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  1. Plotly Python Graphing Library

    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, …

  2. Data Apps for Production | Plotly

    Discover data applications for production with Plotly. Put data and AI into action with scalable, interactive data apps for your organization.

  3. Plotly Express in Python

    Over 37 examples of Plotly Express including changing color, size, log axes, and more in Python.

  4. Basic charts in Python - Plotly

    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 …

  5. Log plots in Python

    All of Plotly Express' 2-D Cartesian functions include the log_x and log_y keyword arguments, which can be set to True to set the corresponding axis to a logarithmic scale:

  6. Plotly javascript graphing library in JavaScript

    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.

  7. Line charts in Python - Plotly

    Plotly Express is the easy-to-use, high-level interface to Plotly, which operates on a variety of types of data and produces easy-to-style figures. With px.line, each data point is represented …

  8. Fundamentals in Python - Plotly

    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.

  9. Sankey Diagram in Python - Plotly

    Sankey Diagram in Python How to make Sankey Diagrams in Python with Plotly. Plotly Studio: Transform any dataset into an interactive data application in minutes with AI. Try Plotly Studio …

  10. Plotly Dash App Examples

    Combined with Python, Plotly Dash delivers interactive, customizable data apps. Explore examples in a wide range of industries and advanced analytic needs.