Installation#

Latest release

Github release PyPI version hvplot version conda-forge version defaults version

Python

Python support

hvPlot supports Python 3.6, 3.7, 3.8, 3.9 and 3.10 on Linux, Windows, or Mac. The recommended way to install hvPlot is using the conda command provided by Anaconda or Miniconda:

conda install -c pyviz hvplot

or using PyPI:

pip install hvplot

For versions of jupyterlab>=3.0 the necessary extension is automatically bundled in the pyviz_comms package, which must be >=2.0. However note that for version of jupyterlab<3.0 you must also manually install the JupyterLab extension with:

conda install jupyterlab
jupyter labextension install @pyviz/jupyterlab_pyviz

To run the guides in this site create an environment with the required dependencies:

conda create -n hvplot-env -c pyviz -c conda-forge -c nodefaults hvplot geoviews datashader xarray pandas geopandas dask streamz networkx intake intake-xarray intake-parquet s3fs scipy spatialpandas pooch rasterio fiona plotly matplotlib jupyterlab