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How to load a dataset

A dataset can simply be loaded with the function load_dataset

import tools
dset = tools.load_dataset(filename, verbose)
dset.close()

where filename is an EPIC output file and verbose is a boolean flag. In this case load_dataset selects the correct dataset class. However, you can also load a dataset class directly with

import tools.netcdf as nc
dset = nc.FieldDataset(verbose)
dset.open(filename)
dset.close()

where other dataset classes are ParcelDataset and StatDataset.

How to access data in a dataset

After loading a dataset, you can access data with

dset.get_data(name, step)

where name is the data name, e.g. z_vorticity, and step is an integer. A list of available data is printed when you type print(dset). Note that get_data accepts further options like copy_periodic for field datasets. For further info on datasets check the corresponding classes (e.g. help(dset)).