Skip to main content

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

Project description

PyPI Conda Downloads BuildStatus Coveralls Gitter Binder

HoloViews logo HoloViews

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

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 provides optional extensions for working with the Jupyter/IPython Notebook.

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 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/pyviz/holoviews.git
cd holoviews
pip install -e .

Usage

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

holoviews --install-examples
cd holoviews-examples

And then you can launch Jupyter Notebook to explore them:

jupyter notebook

To work with JupyterLab you will also need the PyViz JupyterLab extension:

conda install -c conda-forge jupyterlab
jupyter labextension install @pyviz/jupyterlab_pyviz

Once you have installed JupyterLab and the extension launch it with::

jupyter-lab

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-1.12.5.tar.gz (7.6 MB view details)

Uploaded Source

Built Distribution

holoviews-1.12.5-py2.py3-none-any.whl (4.0 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file holoviews-1.12.5.tar.gz.

File metadata

  • Download URL: holoviews-1.12.5.tar.gz
  • Upload date:
  • Size: 7.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3

File hashes

Hashes for holoviews-1.12.5.tar.gz
Algorithm Hash digest
SHA256 7c3c68e503b7bc5d4d7a24dc5466c9511f84d13a034748b4201973689df08a95
MD5 cb3549160e16f625de6cf56451a71b04
BLAKE2b-256 58d87bd7552e09604819efea0cbd1988d7f1bcaec150ab440254e3f4d988ee3c

See more details on using hashes here.

Provenance

File details

Details for the file holoviews-1.12.5-py2.py3-none-any.whl.

File metadata

  • Download URL: holoviews-1.12.5-py2.py3-none-any.whl
  • Upload date:
  • Size: 4.0 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3

File hashes

Hashes for holoviews-1.12.5-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 af93fc36451fb300d35c7eef6e66fdb18623f038558d0ca1f3a4d2a857d3afd8
MD5 afc48545c5605fae8ae15b63e7a2b8f7
BLAKE2b-256 f29df8119d5db1874a1e7eb79e2802daaac3c3e7320274da79b41f7b5e71b8e8

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