HomemadeDataset

class typhon.datasets.dataset.HomemadeDataset(name=None, **kwargs)[source]

For any dataset created by typhon or its dependencies.

Currently supports only saving to npz, through the save_npz method. Eventually, should also support other file formats, in particular NetCDF.

Methods

`__init__`(args, *kwargs)
`as_xarray_dataset`()
`combine`(my_data, other_obj[, other_data, ...])	Combine with data from other dataset.
`find_dir_for_time`(dt)	Find the directory containing granules/measurements at (date)time
`find_granule_for_time`(**kwargs)	Find granule for specific time.
`find_granules`([dt_start, dt_end, ...])	Yield all granules/measurementfiles in period
`find_granules_sorted`([dt_start, dt_end, ...])	Yield all granules, sorted by times.
`find_most_recent_granule_before`(instant, ...)	Find granule covering instant
`get_additional_field`(M, fld)	Get additional field.
`get_info_for_granule`(p)	Return dict (re.fullmatch) for granule, based on re
`get_mandatory_fields`()
`get_path_format_variables`()	What extra format variables are needed in find_granules?
`get_subdir_resolution`()	Return the resolution for the subdir precision.
`get_time_from_granule_contents`(p)	Get datetime objects for beginning and end of granule
`get_times_for_granule`(p, **kwargs)	For granule stored in path, get start and end times.
`iterate_subdirs`(d_start, d_end, **extra)	Iterate through all subdirs in dataset.
`read`([f, fields, pseudo_fields])	Read granule in file and do some other fixes
`read_period`([start, end, onerror, fields, ...])	Read all granules between start and end, in bulk.
`save_npz`(path, M)	Save to compressed npz
`setlocal`()	Set local attributes, from config or otherwise.
`verify_mandatory_fields`(extra)

Attributes