# 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) `
Metadata
Release files for adaptivelcbin 0.1.13
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| adaptivelcbin-0.1.13.tar.gz | 10.4 kB | Without provenance | Details for adaptivelcbin-0.1.13.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| adaptivelcbin-0.1.13-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for adaptivelcbin-0.1.13-py2.py3-none-any.whl |
Total release size: 20.4 kB
Release files / adaptivelcbin-0.1.13.tar.gz
| Download URL | adaptivelcbin-0.1.13.tar.gz |
|---|---|
| Size | 10.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
744b252a84ba7ad45acb23338cdbb3947de67bd67427342c1924323e9bbec061
|
|
BLAKE2b-256 checksum How to use checksums |
12c6c580132e096e013439c416795972ee4654b95aa52ccc73085287d37f19f2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.13
|
Release files / adaptivelcbin-0.1.13-py2.py3-none-any.whl
| Download URL | adaptivelcbin-0.1.13-py2.py3-none-any.whl |
|---|---|
| Size | 10.0 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
79e92c3a2d109305a22729ceb664b377db4427da2dd73d8ef0969ece6e695d47
|
|
BLAKE2b-256 checksum How to use checksums |
11274ad135d47cb11c13fa2ceae6352e9b0a355e958000eae20efdf87c734adc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.13
|
Security for adaptivelcbin 0.1.13
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.