holoviews


Nameholoviews JSON
Version 1.18.3 PyPI version JSON
download
home_pagehttps://www.holoviews.org
SummaryStop plotting your data - annotate your data and let it visualize itself.
upload_time2024-02-12 14:28:14
maintainerHoloViz Developers
docs_urlNone
authorJean-Luc Stevens and Philipp Rudiger
requires_python>=3.9
licenseBSD
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # <img src="https://assets.holoviews.org/logo/holoviews_color_icon_500x500.png" alt="HoloViews logo" height="40px" align="left" /> HoloViews

**Stop plotting your data - annotate your data and let it visualize
itself.**

|    |    |
| --- | --- |
| Downloads | ![https://pypistats.org/packages/holoviews](https://img.shields.io/pypi/dm/holoviews?label=pypi) ![https://anaconda.org/pyviz/holoviews](https://pyviz.org/_static/cache/holoviews_conda_downloads_badge.svg)
| Build Status | [![Build Status](https://github.com/holoviz/holoviews/actions/workflows/test.yaml/badge.svg?branch=main)](https://github.com/holoviz/holoviews/actions/workflows/test.yaml?query=branch%3Amain) |
| Coverage | [![codecov](https://codecov.io/gh/holoviz/holoviews/branch/main/graph/badge.svg)](https://codecov.io/gh/holoviz/holoviews) |
| Latest dev release | [![Github tag](https://img.shields.io/github/tag/holoviz/holoviews.svg?label=tag&colorB=11ccbb)](https://github.com/holoviz/holoviews/tags) [![dev-site](https://img.shields.io/website-up-down-green-red/http/dev.holoviews.org.svg?label=dev%20website)](http://dev.holoviews.org) |
| Latest release | [![Github release](https://img.shields.io/github/release/holoviz/holoviews.svg?label=tag&colorB=11ccbb)](https://github.com/holoviz/holoviews/releases) [![PyPI version](https://img.shields.io/pypi/v/holoviews.svg?colorB=cc77dd)](https://pypi.python.org/pypi/holoviews) [![holoviews version](https://img.shields.io/conda/v/pyviz/holoviews.svg?colorB=4488ff&style=flat)](https://anaconda.org/pyviz/holoviews) [![conda-forge version](https://img.shields.io/conda/v/conda-forge/holoviews.svg?label=conda%7Cconda-forge&colorB=4488ff)](https://anaconda.org/conda-forge/holoviews) [![defaults version](https://img.shields.io/conda/v/anaconda/holoviews.svg?label=conda%7Cdefaults&style=flat&colorB=4488ff)](https://anaconda.org/anaconda/holoviews) |
| Python | [![Python support](https://img.shields.io/pypi/pyversions/holoviews.svg)](https://pypi.org/project/holoviews/) |
| Docs | [![DocBuildStatus](https://github.com/holoviz/holoviews/workflows/docs/badge.svg?query=branch%3Amain)](https://github.com/holoviz/holoviews/actions?query=workflow%3Adocs+branch%3Amain) [![site](https://img.shields.io/website-up-down-green-red/https/holoviews.org.svg)](https://holoviews.org) |
| Binder | [![Binder](https://img.shields.io/badge/Launch%20JupyterLab-v1.15.4-579ACA.svg?logo=data:image/png;base64,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)](https://mybinder.org/v2/gh/holoviz/holoviews/v1.15.4?urlpath=lab/tree/examples) |
| Support | [![Discourse](https://img.shields.io/discourse/status?server=https%3A%2F%2Fdiscourse.holoviz.org)](https://discourse.holoviz.org/) |


HoloViews is an
[open-source](https://github.com/holoviz/holoviews/blob/main/LICENSE.txt)
Python library designed to make data analysis and visualization seamless
and simple. With HoloViews, you can usually express what you want to do
in very few lines of code, letting you focus on what you are trying to
explore and convey, not on the process of plotting.

Check out the [HoloViews web site](http://holoviews.org) for extensive examples and documentation.

<div>
<div >
  <a href="http://holoviews.org/gallery/demos/bokeh/iris_splom_example.html">
    <img src="http://holoviews.org/_images/iris_splom_example_large.png" width='20%'> </img> </a>
  <a href="http://holoviews.org/getting_started/Gridded_Datasets.html">
    <img src="https://assets.holoviews.org/collage/cells.png" width='22%'> </img>  </a>
  <a href="http://holoviews.org/gallery/demos/bokeh/scatter_economic.html">
    <img src="http://holoviews.org/_images/scatter_economic_large.png" width='43%'> </img> </a>
</div>

<div >
  <a href="http://holoviews.org/gallery/demos/bokeh/square_limit.html">
    <img src="http://holoviews.org/_images/square_limit_large.png" width='20%'> </a>
  <a href="http://holoviews.org/gallery/demos/bokeh/bars_economic.html">
    <img src="http://holoviews.org/_images/bars_economic.png" width='20%'> </a>
  <a href="http://holoviews.org/gallery/demos/bokeh/texas_choropleth_example.html">
    <img src="http://holoviews.org/_images/texas_choropleth_example_large.png" width='20%'> </a>
  <a href="http://holoviews.org/gallery/demos/bokeh/verhulst_mandelbrot.html">
    <img src="http://holoviews.org/_images/verhulst_mandelbrot.png" width='20%'> </a>
</div>
<div >
    <a href="http://holoviews.org/gallery/demos/bokeh/dropdown_economic.html">
      <img src="https://assets.holoviews.org/collage/dropdown.gif" width='31%'> </a>
    <a href="http://holoviews.org/gallery/demos/bokeh/dragon_curve.html">
      <img src="https://assets.holoviews.org/collage/dragon_fractal.gif" width='26%'> </a>
    <a href="http://holoviews.org/gallery/apps/bokeh/nytaxi_hover.html">
      <img src="https://assets.holoviews.org/collage/ny_datashader.gif" width='31%'> </a>
</div>
</div>


Installation
============

HoloViews works with
[Python 3](https://github.com/holoviz/holoviews/actions?query=workflow%3Apytest)
on Linux, Windows, or Mac, and works seamlessly with
[Jupyter Notebook and JupyterLab](https://jupyter.org).

The recommended way to install HoloViews is using the
[conda](https://docs.conda.io/projects/conda/en/latest/index.html) command provided by
[Anaconda](https://docs.anaconda.com/anaconda/install/) or
[Miniconda](https://docs.conda.io/en/latest/miniconda.html):

    conda install -c pyviz holoviews bokeh

This command will install the typical packages most useful with
HoloViews, though HoloViews itself depends only on
[Numpy](https://numpy.org) [Pandas](https://pandas.pydata.org) and [Param](https://param.holoviz.org).
Additional installation and configuration options are described in the
[user guide](https://holoviews.org/user_guide/Installing_and_Configuring.html).

You can also clone holoviews directly from GitHub and install it with:

    git clone git://github.com/holoviz/holoviews.git
    cd holoviews
    pip install -e .

Usage
-----

Once you've installed HoloViews, you can get a copy of all the examples shown on this website:

    holoviews --install-examples
    cd holoviews-examples

Now you can launch Jupyter Notebook or JupyterLab to explore them:

    jupyter notebook

    jupyter lab

If you are working with a JupyterLab version <2.0 you will also need the PyViz JupyterLab
extension:

    jupyter labextension install @pyviz/jupyterlab_pyviz

For more details on setup and configuration see [our website](https://holoviews.org/user_guide/Installing_and_Configuring.html).

For general discussion, we have a [gitter channel](https://gitter.im/pyviz/pyviz).
If you find any bugs or have any feature suggestions please file a GitHub
[issue](https://github.com/holoviz/holoviews/issues)
or submit a [pull request](https://help.github.com/articles/about-pull-requests).

            

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version](https://img.shields.io/conda/v/anaconda/holoviews.svg?label=conda%7Cdefaults&style=flat&colorB=4488ff)](https://anaconda.org/anaconda/holoviews) |\n| Python | [![Python support](https://img.shields.io/pypi/pyversions/holoviews.svg)](https://pypi.org/project/holoviews/) |\n| Docs | [![DocBuildStatus](https://github.com/holoviz/holoviews/workflows/docs/badge.svg?query=branch%3Amain)](https://github.com/holoviz/holoviews/actions?query=workflow%3Adocs+branch%3Amain) [![site](https://img.shields.io/website-up-down-green-red/https/holoviews.org.svg)](https://holoviews.org) |\n| Binder | [![Binder](https://img.shields.io/badge/Launch%20JupyterLab-v1.15.4-579ACA.svg?logo=data:image/png;base64,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)](https://mybinder.org/v2/gh/holoviz/holoviews/v1.15.4?urlpath=lab/tree/examples) |\n| Support | [![Discourse](https://img.shields.io/discourse/status?server=https%3A%2F%2Fdiscourse.holoviz.org)](https://discourse.holoviz.org/) |\n\n\nHoloViews is an\n[open-source](https://github.com/holoviz/holoviews/blob/main/LICENSE.txt)\nPython library designed to make data analysis and visualization seamless\nand simple. With HoloViews, you can usually express what you want to do\nin very few lines of code, letting you focus on what you are trying to\nexplore and convey, not on the process of plotting.\n\nCheck out the [HoloViews web site](http://holoviews.org) for extensive examples and documentation.\n\n<div>\n<div >\n  <a href=\"http://holoviews.org/gallery/demos/bokeh/iris_splom_example.html\">\n    <img src=\"http://holoviews.org/_images/iris_splom_example_large.png\" width='20%'> </img> </a>\n  <a href=\"http://holoviews.org/getting_started/Gridded_Datasets.html\">\n    <img src=\"https://assets.holoviews.org/collage/cells.png\" width='22%'> </img>  </a>\n  <a href=\"http://holoviews.org/gallery/demos/bokeh/scatter_economic.html\">\n    <img src=\"http://holoviews.org/_images/scatter_economic_large.png\" width='43%'> </img> </a>\n</div>\n\n<div >\n  <a href=\"http://holoviews.org/gallery/demos/bokeh/square_limit.html\">\n    <img src=\"http://holoviews.org/_images/square_limit_large.png\" width='20%'> </a>\n  <a href=\"http://holoviews.org/gallery/demos/bokeh/bars_economic.html\">\n    <img src=\"http://holoviews.org/_images/bars_economic.png\" width='20%'> </a>\n  <a href=\"http://holoviews.org/gallery/demos/bokeh/texas_choropleth_example.html\">\n    <img src=\"http://holoviews.org/_images/texas_choropleth_example_large.png\" width='20%'> </a>\n  <a href=\"http://holoviews.org/gallery/demos/bokeh/verhulst_mandelbrot.html\">\n    <img src=\"http://holoviews.org/_images/verhulst_mandelbrot.png\" width='20%'> </a>\n</div>\n<div >\n    <a href=\"http://holoviews.org/gallery/demos/bokeh/dropdown_economic.html\">\n      <img src=\"https://assets.holoviews.org/collage/dropdown.gif\" width='31%'> </a>\n    <a href=\"http://holoviews.org/gallery/demos/bokeh/dragon_curve.html\">\n      <img src=\"https://assets.holoviews.org/collage/dragon_fractal.gif\" width='26%'> </a>\n    <a href=\"http://holoviews.org/gallery/apps/bokeh/nytaxi_hover.html\">\n      <img src=\"https://assets.holoviews.org/collage/ny_datashader.gif\" width='31%'> </a>\n</div>\n</div>\n\n\nInstallation\n============\n\nHoloViews works with\n[Python 3](https://github.com/holoviz/holoviews/actions?query=workflow%3Apytest)\non Linux, Windows, or Mac, and works seamlessly with\n[Jupyter Notebook and JupyterLab](https://jupyter.org).\n\nThe recommended way to install HoloViews is using the\n[conda](https://docs.conda.io/projects/conda/en/latest/index.html) command provided by\n[Anaconda](https://docs.anaconda.com/anaconda/install/) or\n[Miniconda](https://docs.conda.io/en/latest/miniconda.html):\n\n    conda install -c pyviz holoviews bokeh\n\nThis command will install the typical packages most useful with\nHoloViews, though HoloViews itself depends only on\n[Numpy](https://numpy.org) [Pandas](https://pandas.pydata.org) and [Param](https://param.holoviz.org).\nAdditional installation and configuration options are described in the\n[user guide](https://holoviews.org/user_guide/Installing_and_Configuring.html).\n\nYou can also clone holoviews directly from GitHub and install it with:\n\n    git clone git://github.com/holoviz/holoviews.git\n    cd holoviews\n    pip install -e .\n\nUsage\n-----\n\nOnce you've installed HoloViews, you can get a copy of all the examples shown on this website:\n\n    holoviews --install-examples\n    cd holoviews-examples\n\nNow you can launch Jupyter Notebook or JupyterLab to explore them:\n\n    jupyter notebook\n\n    jupyter lab\n\nIf you are working with a JupyterLab version <2.0 you will also need the PyViz JupyterLab\nextension:\n\n    jupyter labextension install @pyviz/jupyterlab_pyviz\n\nFor more details on setup and configuration see [our website](https://holoviews.org/user_guide/Installing_and_Configuring.html).\n\nFor general discussion, we have a [gitter channel](https://gitter.im/pyviz/pyviz).\nIf you find any bugs or have any feature suggestions please file a GitHub\n[issue](https://github.com/holoviz/holoviews/issues)\nor submit a [pull request](https://help.github.com/articles/about-pull-requests).\n",
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