Getting Set Up¶
The hvPlot library is a complex project which provides a wide range of data interfaces and an extensible set of plotting backends, which means the development and testing process involves a wide set of libraries.
The hvPlot source code is stored in a Git source control repository. The first step to working on hvPlot is to install Git on to your system. There are different ways to do this depending on whether, you are using Windows, OSX, or Linux.
Developing hvPlot requires a wide range of packages that are not
easily and quickly available using pip. To make this more manageable,
core developers rely heavily on the conda package manager for the
free Anaconda Python distribution. However,
conda can also
install non-Python package dependencies, which helps streamline hvPlot
development greatly. It is strongly recommended that anyone
developing hvPlot also use
conda, and the remainder of the
instructions will assume that
conda is available.
The source code for the hvPlot project is hosted on GitHub. To clone the source repository, issue the following command:
git clone https://github.com/pyviz/hvplot.git
This will create a
hvplot directory at your file system
hvplot directory is referred to as the source
checkout for the remainder of this document.
hvPlot requires many additional packages for development and testing. Many of these are on the main Anaconda default channel.
Since hvPlot interfaces with a large range of different libraries the full test suite requires a wide range of dependencies. To make it easier to install and run different parts of the test suite across different platforms hvPlot uses a library called pyctdev to make things more consistent and general.
conda create -n hvplot_dev -c pyviz pyctdev python=3.6
Specify the desired Python version, currently hvPlot officially supports Python 2.7, 3.5, 3.6 and 3.7. Once the environment has been created you can activate it with:
conda activate hvplot_dev
Finally to install the dependencies required to run the full unit test suite and all the examples:
doit develop_install -c pyviz/label/dev -o all