Skip to main content

adaptivelcbin

Project description

# adaptivelcbin

__CAUTION__: this is a simple functional project, although it should work as generally expected, do make sanity checks and make sure you understand what the adaptive binning is

It makes adaptive binning and hardness ratio of two light curves (XMM-Newton input tested)

## Installation `bash $ pip install adaptivelcbin ` ## Help `bash $ hratio --help `

## Example: `bash $ hratio PNsrc_lc_01s_005-030.fits PNsrc_lc_01s_030-100.fits hratio4.qdp 15.0 --flag_rebin=4 `

`python import hratio hratio.hratio_func('data/PNsrc_lc_01s_005-030.fits', 'data/PNsrc_lc_01s_030-100.fits', 'test1.qdp', 15.0) `

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

adaptivelcbin-0.1.9.tar.gz (9.8 kB view details)

Uploaded Source

Built Distribution

adaptivelcbin-0.1.9-py2.py3-none-any.whl (9.7 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file adaptivelcbin-0.1.9.tar.gz.

File metadata

  • Download URL: adaptivelcbin-0.1.9.tar.gz
  • Upload date:
  • Size: 9.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.11.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.10

File hashes

Hashes for adaptivelcbin-0.1.9.tar.gz
Algorithm Hash digest
SHA256 de2d0f2190d0daff32cbb386c1e56b62e95ad391c56d900df6a3f7cf3163b1bd
MD5 272ccc6bfdae8675326a3ef63b6e06e5
BLAKE2b-256 3c8db38e3d6915cb7a02b1c19b56169c8513d777a77ae9ed7ac288ad37163c40

See more details on using hashes here.

File details

Details for the file adaptivelcbin-0.1.9-py2.py3-none-any.whl.

File metadata

  • Download URL: adaptivelcbin-0.1.9-py2.py3-none-any.whl
  • Upload date:
  • Size: 9.7 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.11.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.10

File hashes

Hashes for adaptivelcbin-0.1.9-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 9ad8a72f85a24bfa340b70cb3effc46bed7c3ff6dec7b43d3aaae8f11137d146
MD5 d48d91b7b48c170c2a891ea639148706
BLAKE2b-256 7af6962cc0e75a42f52faca74d2254a5b65847cd3be9a847a8f3d8f7944e4b70

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