ioam / packages / holoviews
conda pypi
1.10.7

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

Installers

conda install

  • linux-64  v1.9.5
  • win-32  v1.9.5
  • noarch  v1.10.7
  • source  v1.3.2
  • osx-64  v1.9.5
  • linux-32  v1.9.5
  • win-64  v1.9.5
To install this package with conda run one of the following:
conda install -c ioam holoviews
conda install -c ioam/label/dev holoviews

pip install

To install this package with pip, first run:
anaconda login
and then, one of the following:
pip install -i https://pypi.anaconda.org/ioam/simple holoviews
pip install -i https://pypi.anaconda.org/ioam/label/dev/simple holoviews
Or:
TOKEN=$(anaconda auth --create --name download-token)
and then one of the following:
pip install -i https://pypi.anaconda.org/t/$TOKEN/ioam/simple holoviews
pip install -i https://pypi.anaconda.org/t/$TOKEN/ioam/label/dev/simple holoviews

Description

PyPI Conda Downloads BuildStatus holoviewsDocs Coveralls Gitter Binder

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 ioam 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 HoloViews JupyterLab extension:

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

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.

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