Extract by line method
Write user-facing interface to extract all data for a given (list of) IVAR(s), aka a "line" in an actual ICARTT file. So far, you can get all data for a single var (ict.data[]), but this is quite inflexible and not intuitive. Ideally something like:
ict.data[(one or several ivar values)][(names of dvars or ":")]which would give
np.array( [ (ivarvalue1, ivarvalue2, ...), (dvar1value1, dvar1value2, ...), (dvar2value1, dvar2value2, ...), ...], dtype=[...] )Activity
changed milestone to %publish as v2.0.0 on pypi
Not 100% sure what you have in mind here. As a comment, based on my experience with NASA Ames formatted data handling: it is helpful if a package provides an interface to common data structures like
numpy.ndarray,pandas.Series/pandas.DataFrameor evenxarray.Dataarray/xarray.Datasetfor those who like the netCDF structure. Those data structures then provide all the indexing / groupby / etc. capabilities.Edited by Florian ObersteinerThe package already provided a
numpy.ndarrayfor data in the simple FFI1001 format, but I wanted it to be valid also for files in FFI2110 (which is more complex). Fixed now, the data is now exposed asnumpy.ndarrayfor both file formats and can be accessed accordingly. See documentation for examples. For the moment, the usage examples can be found in tests/usage_examples.
