HoloViews

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

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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
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 holoviews

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

For more details on setup and configuration see our website.

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