This package contains a set of tools to load and visualize the contents of a set of openPMD files (typically, a timeseries).
The routines of
openPMD-viewer can be used in two ways :
Use the Python API, in order to write a script that loads the data and produces a set of pre-defined plots.
Use the interactive GUI inside the Jupyter Notebook, in order to interactively visualize the data.
The notebooks in the folder
tutorials/ demonstrate how to use both
the API and the interactive GUI. You can view these notebooks online
Alternatively, you can even run our tutorials online!
You can also download and run these notebooks on your local computer
(when viewing the notebooks with the above link, click on
Raw to be able to
save them to your local computer). In order to run the notebook on
your local computer, please install
openPMD-viewer first (see
below), as well as
pip install wget).
If you wish to use the interactive GUI, the installation of
openPMD-viewer provides a convenient executable which automatically
creates a new pre-filled notebook and opens it in a
browser. To use this executable, simply type in a regular terminal:
(This executable is installed by default, when installing
Installation on a local computer
Installation with conda
In order to install
conda, please install the Anaconda
distribution, and then type
conda install -c conda-forge openpmd-viewer
If you are using JupyterLab, please also install the
extension (See installation instructions
Installation with pip
You can also install
pip install openpmd-viewer
In addition, if you wish to use the interactive GUI, please type
pip install jupyter
Installation on a remote scientific cluster
If you wish to install the
openPMD-viewer on a remote scientific
cluster, please make sure that the packages
are available in your environment. This is typically done by a set of
module load commands (e.g.
module load h5py) -- please refer to
the documentation of your scientific cluster.
pip install openPMD-viewer --user
Note: The package
jupyter is only required for the interactive
GUI and thus it does not need to be installed if you are only using
the Python API. For NERSC users, access to Jupyter
notebooks is provided when logging to
Contributing to the openPMD-viewer
We welcome contributions to the code! Please read this page for guidelines on how to contribute.