Closed maxscheurer closed 4 years ago
Regarding other properties: I think dominant amplitudes would be awesome, but that could be a bit of effort to properly map this. I'd rather have it as is than nothing, so your call if you want to do it or not.
Regarding other properties: I think dominant amplitudes would be awesome
One could do this, but probably as a separate dataframe. The format of amplitudes does not fit the concise layout of the currently exported dataframe. I have something in mind that I could test tomorrow.
Awesome! Anything in this direction would be appreciated from my end. If you can somehow get a nice overview of this that would just be great.
About other properties: Absorption cross section? Also excitation is an index (0 to something) and the index of the dataframe itself is also 0 to something. I don't think I would keep excitation or did you have something particular in mind when you did that?
Absorption cross section?
Done 😄 ... and I noticed that it was only accessible via plots before haha.
I don't think I would keep excitation or did you have something particular in mind when you did that?
Yes, I actually did! Say you do several calculations and merge dataframes with pd.concat
or something of the sort with ignore_index=True
, then you loose information about the number of the excited states. Having the excitation as an extra column thus comes in handy when comparing multiple calculations, because you can more easily filter and process the data
Update on amplitudes: I think right now I'd have to change stuff in FormatExcitationVector
to access the "raw" data...
Say you do several calculations and merge dataframes
Ah good point. That I did not think about ...
Re amplitudes ... don't worry if it turns out to be too annoying.
Okay, so the amplitudes are too much fiddling... I'm going to squash-merge this when the CI is done. I already have a new branch for the amplitude dataframe stuff.
I guess #79 needs to go in to fix the checksum errors?
This PR adds the feature to export
ExcitedStates
as apandas.DataFrame
for convenient post-processing and serialization.pandas
tosetup.py
andconda
requirementsQuestions: