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  1. pypi.org › project › plotlyplotly - PyPI

    29 cze 2013 · 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.

  2. Download the latest version of Python. Download Python 3.13.0. Looking for Python with a different OS? Python for Windows, Linux/UNIX, macOS, Other. Want to help test development versions of Python 3.14? Prereleases, Docker images. Join the official Python Developers Survey 2024 and have a chance to win a prize Take the 2024 survey!

  3. Plotly is a free and open-source graphing library for Python. We recommend you read our Getting Started guide for the latest installation or upgrade instructions, then move on to our Plotly Fundamentals tutorials or dive straight in to some Basic Charts tutorials .

  4. 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, subplots, multiple-axes, polar charts, and bubble charts. Plotly.py is free and open source and you can view the source, report issues or ...

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

  6. Download & Install plotly Library. To download and install plotly, run the line of code below in your preferred Python programming IDE or code editor: pip install plotly. The Python code pip install plotly is a command used to install the plotly library using the Python package manager pip.

  7. Installation # Install an official release # Matplotlib releases are available as wheel packages for macOS, Windows and Linux on PyPI. Install it using pip: python -m pip install -U pip. python -m pip install -U matplotlib.

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