Visualization with openPMD-viewer (for openPMD data)

openPMD-viewer is an open-source Python package to access openPMD data.

It allows to: - Quickly browse through the data, with a GUI-type interface in the Jupyter notebook - Have access to the data numpy array, for more detailed analysis

Installation

openPMD-viewer can be installed via conda or pip:

conda install -c rlehe openpmd_viewer

pip install openPMD-viewer

Usage

openPMD-viewer can be used either in simple Python scripts, or in a Jupyter notebook. In both cases, you can import openPMD-viewer, and load the data with the following commands:

from opmd_viewer import OpenPMDTimeSeries
ts = OpenPMDTimeSeries('./diags/hdf5')

Note

If you are using the Jupyter notebook, then you can start a pre-filled notebook, which already contains the above lines, by typing in a terminal:

openPMD_notebook

When using the Jupyter notebook, you can quickly browse through the data by using the command:

ts.slider()

You can also access the particle and field data as numpy arrays with the methods ts.get_field and ts.get_particle. See the openPMD-viewer tutorials here for more info.