Skip to main content

Voigt Profile Fitting in Python

Project description

Absorption line fitting implemented in Python.

If you use this software, please cite my paper on arXiv. Please let me know that you’re using VoigtFit by filling in this short form. This way I can keep you updated with critical updates.

Installation

Dependencies

Python version 2.7 or >3.6 (only tested on 3.6 and 3.7 so far).

VoigtFit depends on matplotlib, numpy, scipy, h5py, astropy, lmfit, and numba. You can install these using your favorite Python package manager such as conda or pip.

Using pip

The easiest way to install the most recent stable version of VoigtFit is using pip:

pip install VoigtFit

If you encounter the following AttributeError when attempting to install via pip:

AttributeError: ‘NoneType’ object has no attribute ‘splitlines’

Try running pip with the --upgrade option:

pip install --upgrade VoigtFit

From source

Alternatively, you can get the latest version of the source by cloning the git repository:

git clone https://github.com/jkrogager/VoigtFit.git

Once you’ve downloaded the source, you can navigate into the root source directory and run:

python setup.py install

If you encounter any problems, do not hesitate to raise an issue here.

Further documentation and how to use it

Check out the documentation for instructions of installation and use.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

VoigtFit-3.13.3.2.tar.gz (8.7 MB view details)

Uploaded Source

Built Distribution

VoigtFit-3.13.3.2-py37-none-any.whl (2.9 MB view details)

Uploaded Python 3.7

File details

Details for the file VoigtFit-3.13.3.2.tar.gz.

File metadata

  • Download URL: VoigtFit-3.13.3.2.tar.gz
  • Upload date:
  • Size: 8.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/44.0.0 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/2.7.17

File hashes

Hashes for VoigtFit-3.13.3.2.tar.gz
Algorithm Hash digest
SHA256 9a4b35eba4ee0168f54bebfa510d35568c046d9f522e255a9d44f5b1662e017a
MD5 b6ac7a06bb8f2f38424c9de50d962708
BLAKE2b-256 00ef2b216a90818b42177dec10eb52bd1de60f7fdc8914e3bde573134cf8b44e

See more details on using hashes here.

File details

Details for the file VoigtFit-3.13.3.2-py37-none-any.whl.

File metadata

  • Download URL: VoigtFit-3.13.3.2-py37-none-any.whl
  • Upload date:
  • Size: 2.9 MB
  • Tags: Python 3.7
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/44.0.0 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/2.7.17

File hashes

Hashes for VoigtFit-3.13.3.2-py37-none-any.whl
Algorithm Hash digest
SHA256 9cb69f0b5c1153f39ba84cbd8f9b137ddd5d3579cbdb9ff651571bce4f234b09
MD5 e7b80392b6d8d606b0e2c1bd6e3a7bab
BLAKE2b-256 3d91d090adb24ebd50ae44024ce5b878ffe419d1b2539020739d779a7c74e895

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