Skip to main content

Ultrafast electron diffraction data exploration

Project description

Windows Build Status Documentation Build Status PyPI Version

Iris is both a library for interacting with ultrafast electron diffraction data, as well as a GUI frontend for interactively exploring this data.

Iris also includes a plug-in manager so that you can explore your data.

Installation

To install the latest development version from Github:

python -m pip install git+git://github.com/LaurentRDC/iris-ued.git

Iris is available on PyPI; it can be installed with pip.:

python -m pip install iris-ued

Each version is tested against Python 3.6. If you are using a different version, tests can be run using the standard library’s unittest module.

Usage

Once installed, the package can be imported as iris.

The GUI component can be launched from a command line interpreter as python -m iris or pythonw -m iris (no console window).

Documentation

The Documentation on readthedocs.io provides API-level documentation, as well as tutorials.

Support / Report Issues

All support requests and issue reports should be filed on Github as an issue.

License

iris is made available under the MIT License. For more details, see LICENSE.txt.

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

iris-ued-5.0.1.tar.gz (6.2 MB view details)

Uploaded Source

Built Distribution

iris_ued-5.0.1-py3-none-any.whl (135.1 kB view details)

Uploaded Python 3

File details

Details for the file iris-ued-5.0.1.tar.gz.

File metadata

  • Download URL: iris-ued-5.0.1.tar.gz
  • Upload date:
  • Size: 6.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for iris-ued-5.0.1.tar.gz
Algorithm Hash digest
SHA256 544b62bc1e484e59a68d79fee049b9293da8df1b1ea47a558d1ce7f36f1ffa5e
MD5 5cbc8e1684e2c9c34f9278a88a00d0e8
BLAKE2b-256 b10ec884c9e5e46c0bf937093dd1540528ce8a2fd9fc7226910a36adf51bf401

See more details on using hashes here.

File details

Details for the file iris_ued-5.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for iris_ued-5.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 1d800afcff941424d5e7ffd8de4e403756d62d0bdfea9719e581627bb20d15b3
MD5 ca7b2c83da022d28829427b692ae7d96
BLAKE2b-256 8a05bddbe0b431edba85784b1e1af912dd2dccca7ff7d4fc1e19cdacd48b3f99

See more details on using hashes here.

Supported by

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