Skip to main content

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

Project description

HoloViews logo HoloViews

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

Build Status Build Status
Coverage codecov
Latest dev release Github tag dev-site
Latest release Github release PyPI version holoviews version conda-forge version defaults version
Python Python support
Docs DocBuildStatus site
Binder Binder
Support Discourse

HoloViews is an open-source 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 for extensive examples and documentation.

Installation

HoloViews works with Python 2.7 and Python 3 on Linux, Windows, or Mac, and works seamlessly with Jupyter Notebook and JupyterLab.

The recommended way to install HoloViews is using the conda command provided by Anaconda or Miniconda:

conda install -c pyviz holoviews bokeh

This command will install the typical packages most useful with HoloViews, though HoloViews itself depends only on Numpy Pandas and Param. Additional installation and configuration options are described in the user guide.

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.

For general discussion, we have a gitter channel. If you find any bugs or have any feature suggestions please file a GitHub issue or submit a pull request.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

holoviews-1.14.9a2.tar.gz (6.9 MB view details)

Uploaded Source

Built Distribution

holoviews-1.14.9a2-py2.py3-none-any.whl (4.3 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file holoviews-1.14.9a2.tar.gz.

File metadata

  • Download URL: holoviews-1.14.9a2.tar.gz
  • Upload date:
  • Size: 6.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.11.3 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.63.0 CPython/3.7.13

File hashes

Hashes for holoviews-1.14.9a2.tar.gz
Algorithm Hash digest
SHA256 5462fd8a7f4d0a98a90c48b7d69e8a213f5e84c6d5e3af1b37dd109815266576
MD5 1824d16d7ad545a8f6252ed0e040ff20
BLAKE2b-256 c678c13624fe57e748a2858bed86a4e4f659ce1bf4c6b32c703844373f018ed4

See more details on using hashes here.

Provenance

File details

Details for the file holoviews-1.14.9a2-py2.py3-none-any.whl.

File metadata

  • Download URL: holoviews-1.14.9a2-py2.py3-none-any.whl
  • Upload date:
  • Size: 4.3 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.11.3 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.63.0 CPython/3.7.13

File hashes

Hashes for holoviews-1.14.9a2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 4b709522591a87b8af6a90859f1f3af64108f3f0764ac440b9a23b12a3c2ad32
MD5 1429a7c328bf82c16f62de159ec7302d
BLAKE2b-256 e48c6419ec9a8cddecc70ca255d3ec24eb6d569fc36d3e158605939b01f7257e

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page