Metadata-Version: 2.1
Name: adaptivelcbin
Version: 0.1.8
Summary: adaptivelcbin
Home-page: https://gitlab.astro.unige.ch/ferrigno/adaptivelcbin
Author: C.F.
Author-email: carlo.ferrigno@unige.ch
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Internet
Classifier: Topic :: Scientific/Engineering :: Astronomy
License-File: LICENSE

# 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)
```

