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/ioam/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-1.11.3.tar.gz (7.6 MB view details)

Uploaded Source

Built Distribution

holoviews-1.11.3-py2.py3-none-any.whl (4.0 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file holoviews-1.11.3.tar.gz.

File metadata

  • Download URL: holoviews-1.11.3.tar.gz
  • Upload date:
  • Size: 7.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.8.0 tqdm/4.31.1 CPython/3.6.7

File hashes

Hashes for holoviews-1.11.3.tar.gz
Algorithm Hash digest
SHA256 cb03053bfcb96ccef181405b6d3482a5b868f0c7fbaa68b52d25e0071dafd1bc
MD5 e4eaecf6fbdf6bf556b65976a0f4051f
BLAKE2b-256 f6df831c3425390f2ebe0776746c44d06e5ee6057dfa23ade8269c1b6370a3fd

See more details on using hashes here.

Provenance

File details

Details for the file holoviews-1.11.3-py2.py3-none-any.whl.

File metadata

  • Download URL: holoviews-1.11.3-py2.py3-none-any.whl
  • Upload date:
  • Size: 4.0 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.8.0 tqdm/4.31.1 CPython/3.6.7

File hashes

Hashes for holoviews-1.11.3-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 33e5b709d0e829dea4a3ae2ac1b580b2e3817aaa4a65d842d71019a8b3a3c1ad
MD5 5fd83db50f6462d3fea191f15ffc7d20
BLAKE2b-256 df1c5bf2c95495d3370d84f95c1189dd41fc5b7af40503db9f05d9dd47f7ee26

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