Metadata-Version: 2.1
Name: venim
Version: 0.6.2
Summary: Python tools for Venus Image Analysis
Home-page: https://github.com/michaelaye/venim
Author: K.-Michael Aye
Author-email: kmichael.aye@gmail.com
License: MIT license
Description: ======================
        Venus Imaging Analysis
        ======================
        
        
        .. image:: https://img.shields.io/pypi/v/venim.svg
                :target: https://pypi.python.org/pypi/venim
        
        .. image:: https://img.shields.io/travis/michaelaye/venim.svg
                :target: https://travis-ci.org/michaelaye/venim
        
        .. image:: https://readthedocs.org/projects/venim/badge/?version=latest
                :target: https://venim.readthedocs.io/en/latest/?badge=latest
                :alt: Documentation Status
        
        .. image:: https://pyup.io/repos/github/michaelaye/venim/shield.svg
             :target: https://pyup.io/repos/github/michaelaye/venim/
             :alt: Updates
        
        
        Python tools for Venus Image Analysis
        
        
        * Free software: MIT license
        * Documentation: https://venim.readthedocs.io.
        
        
        Features
        --------
        
        If the feature has been implemented in an importable way, it's indicated by a filled checkmark [x]
        
        * [x] Read FITS arrays (done via astropy.io.fits)
        * [x] FITS image stats scanner (creates CSV overview file)
        * [ ] Standard image reduction pipeline: bias subtraction, flat field normalization, etc.
        * [ ] Other image clean-up: bad pixels, cosmic rays, detector artifacts
        * [ ] Generate estimated errors for each pixel
        * [ ] Transform detector x,y coordinates into local Lat, Lon
        * [ ] Take various gradients of images
        * [ ] Filter images in the spatial frequency domain
        * [ ] Sub-pixel disk registration
        * [ ] Robust stacking of co-registered images
        * [ ] Cloud tracking
        
        
        
        Credits
        ---------
        
        The content of this package is based on summer science work by Nicolas Ardavin and Kenyon Prater, under the lead of Eliot Young and Mark Bullock.
        Later improvements have been implemented by the package maintainer Michael Aye.
        
        
        This package was created with Cookiecutter_ and the forked `michaelaye/cookiecutter-pypackage-conda`_ project template.
        
        .. _Cookiecutter: https://github.com/audreyr/cookiecutter
        .. _`michaelaye/cookiecutter-pypackage-conda`: https://github.com/michaelaye/cookiecutter-pypackage-conda
        
        
        =======
        History
        =======
        
        
        0.4.3 (2020-05-26)
        ------------------
        
        * fix wavelength finally
        * change notebooks
          * renamed opening_calibrated to open_files.ipynb
          * adding finding_files.ipynb
        
        
        0.4.1 (2020-05-26)
        ------------------
        
        Convert wavelength to integer for the filelist.
        
        0.4.0 (2020-05-26)
        ------------------
        
        * Add wavelength and exposure to filelist
        * Add utility function `ir2.get_orbit_file_list()`
        
        0.1.0 (2019-02-07)
        ------------------
        
        * First release on PyPI.
        
Keywords: venus images pds data
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.6, <4
Description-Content-Type: text/x-rst
