Pip package

[php1ic]

As suggested by @e-eight in both #4 and #5 let's make this project into to a pip installable package.

As this is a major change, I will take the opportunity to drop the plotting part of the package. If people need it, it can be added back in, but I believe focussing on the parsing of the data files should be the core of the packages functionality.

[codecov]

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[e-eight]

I noticed that the the atomic mass in the AME mass files are actually given as 1 008664.91590. I think in the parser only selects the part after the space, i.e. starting with 0 instead of 1.

[e-eight]

Also I found that read_fwf from Pandas can read these files pretty easily, without needing any regex selections. What it needs are the start and end positions for each column, like in ame_mass_file.py. Of course the data then needs to be post-processed to remove non-numeral entries and other such things. But with read_fwf you can do the post-processing on the Pandas DataFrame directly.

For a small dataset like this, I do not suppose there is any performance benefit of doing it one way or the other. But since you mentioned the possibility of archiving this and creating a new project in #8, maybe we can try read_fwf approach if you are interested.

[php1ic]

Good find! I think a new package is going to be created so might as well start using that function.

Not sure why the initial value is ignored when reading the atomic mass. I'll fix that in the new package.

[e-eight]

I wrote some code with read_fwf after writing that comment. If you make a new package, I can add my code there.

[e-eight]

@php1ic I added the code for AME (1993 - 2020) in commit 19c024c in the read_fwf branch I made in my fork. The files need to be arranged properly for the new package, and we need to add tests and everything. This is just to demonstrate the function. But this style should work for both AME and NUBASE for all the years, though NUBASE will need more involved error handling.

[php1ic]

Thanks for looking into the usage of read_fwf and earlier years data.

I'm going to move all development to the new package and not merge this PR, leaving the repo in the pre-package state. Hopefully see you over there 👍