Getting started

Installation

hvPlot supports Python 2.7, 3.5, 3.6 and 3.7 on Linux, Windows, or Mac and can be installed with conda:

conda install -c pyviz hvplot

or with pip:

pip install hvplot

Usage

Once you’ve installed hvPlot as above and have fetched the examples shown on the website you can run them using Jupyter :

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

If you have any questions, please refer to http://holoviews.org/FAQ.html and if that doesn’t help, feel free to post an issue on GitHub, question on stackoverflow, or discuss on Gitter.

Developer Instructions

  1. Install Python 3 miniconda or anaconda , if you don’t already have it on your system.

  2. Clone the hvplot git repository if you do not already have it:

    git clone git://github.com/pyviz/hvplot.git
    
  3. Set up an environment with all of the dependencies needed to run the examples:

    cd hvplot
    conda env create --quiet --force -n hvplot -f ./environment.yml
    source activate hvplot
    
  4. Put the hvplot directory into the Python path in this environment:

    pip install -e .