Skip to main content

Visualization tools for openPMD files

Project description

openPMD-viewer

Build Status main Build Status dev pypi version Binder License

Overview

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.

Usage

Tutorials

The notebooks in the folder tutorials/ demonstrate how to use both the API and the interactive GUI. You can view these notebooks online here.

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 wget (pip install wget).

Notebook quick-starter

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:

openPMD_notebook

(This executable is installed by default, when installing openPMD-viewer.)

Installation

Installation on a local computer

Installation with conda

In order to install openPMD-viewer with 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 jupyter-matplotlib extension (See installation instructions here).

Installation with pip

You can also install openPMD-viewer using pip

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 numpy, scipy and h5py 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.

Then type

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 https://ipython.nersc.gov.

Contributing to the openPMD-viewer

We welcome contributions to the code! Please read this page for guidelines on how to contribute.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

openPMD-viewer-1.1.0.tar.gz (54.0 kB view details)

Uploaded Source

Built Distribution

openPMD_viewer-1.1.0-py3-none-any.whl (82.5 kB view details)

Uploaded Python 3

File details

Details for the file openPMD-viewer-1.1.0.tar.gz.

File metadata

  • Download URL: openPMD-viewer-1.1.0.tar.gz
  • Upload date:
  • Size: 54.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.25.1 setuptools/51.0.0.post20201207 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.7.4

File hashes

Hashes for openPMD-viewer-1.1.0.tar.gz
Algorithm Hash digest
SHA256 c2bc480c256b93d8ca7442f45e23c6e7bf800540f181e282adfc14ad84a6aa74
MD5 80e22aee4324e08a15fda05411f5d120
BLAKE2b-256 ef051504feefd5d00d7ad698cccaf543189cec6c8f2ba092531fa903f6777ed7

See more details on using hashes here.

File details

Details for the file openPMD_viewer-1.1.0-py3-none-any.whl.

File metadata

  • Download URL: openPMD_viewer-1.1.0-py3-none-any.whl
  • Upload date:
  • Size: 82.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.25.1 setuptools/51.0.0.post20201207 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.7.4

File hashes

Hashes for openPMD_viewer-1.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8e0bd050714eb7c47b51eb17d2b821c333fa12a6b91b8d4731522f6e71a4c96e
MD5 a979955864ac2f0cc7bd85a46519a3a1
BLAKE2b-256 f788bf19e104c1b41455a14ef3a19bed69f391b3f9dea36ff9283e1d249d2632

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page