Specifically the ones for reading/writing pandas dataframes to .csv files or StringIO objects.
Updated functions in this PR save metadata in json format alongside the data.
The field is used to readout the file again such that index/multiindex in the read dataframe is identical to the original dataframe.
An additional field is used to store metadata in df['attrs'].metadata or in pyhdx.models.Protein.metadata
Additional features:
Save/load pyhdx.models.HDXMeasurement objects in txt file
Save TorchFitResult objects to file with associated metadata (epochs, losses, regularizers, etc)
Losses are now stored in TorchFitResult as a dataframe
Specifically the ones for reading/writing pandas dataframes to .csv files or StringIO objects.
Updated functions in this PR save metadata in json format alongside the data. The field is used to readout the file again such that index/multiindex in the read dataframe is identical to the original dataframe.
An additional field is used to store metadata in
df['attrs'].metadataor inpyhdx.models.Protein.metadataAdditional features:
pyhdx.models.HDXMeasurementobjects in txt file