MCPcopy Index your code
hub / github.com/pydata/xarray / load_datatree

Function load_datatree

xarray/tutorial.py:349–389  ·  view source on GitHub ↗

Open, load into memory (as a `DataTree`), and close a dataset from the online repository (requires internet). If a local copy is found then always use that to avoid network traffic. Available datasets: * ``"imerghh_730"``: GPM IMERG Final Precipitation L3 Half Hourly 0.1 degr

(*args, **kwargs)

Source from the content-addressed store, hash-verified

347
348
349def load_datatree(*args, **kwargs) -> DataTree:
350 """
351 Open, load into memory (as a `DataTree`), and close a dataset from the online repository
352 (requires internet).
353
354 If a local copy is found then always use that to avoid network traffic.
355
356 Available datasets:
357
358 * ``"imerghh_730"``: GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V07 from 2021-08-29T07:30:00.000Z
359 * ``"imerghh_830"``: GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V07 from 2021-08-29T08:30:00.000Z
360 * ``"air_temperature"``: NCEP reanalysis subset
361 * ``"air_temperature_gradient"``: NCEP reanalysis subset with approximate x,y gradients
362 * ``"basin_mask"``: Dataset with ocean basins marked using integers
363 * ``"ASE_ice_velocity"``: MEaSUREs InSAR-Based Ice Velocity of the Amundsen Sea Embayment, Antarctica, Version 1
364 * ``"rasm"``: Output of the Regional Arctic System Model (RASM)
365 * ``"ROMS_example"``: Regional Ocean Model System (ROMS) output
366 * ``"tiny"``: small synthetic dataset with a 1D data variable
367 * ``"era5-2mt-2019-03-uk.grib"``: ERA5 temperature data over the UK
368 * ``"eraint_uvz"``: data from ERA-Interim reanalysis, monthly averages of upper level data
369 * ``"ersstv5"``: NOAA's Extended Reconstructed Sea Surface Temperature monthly averages
370
371 Parameters
372 ----------
373 name : str
374 Name of the file containing the dataset.
375 e.g. 'air_temperature'
376 cache_dir : path-like, optional
377 The directory in which to search for and write cached data.
378 cache : bool, optional
379 If True, then cache data locally for use on subsequent calls
380 **kws : dict, optional
381 Passed to xarray.open_datatree
382
383 See Also
384 --------
385 tutorial.open_datatree
386 open_datatree
387 """
388 with open_datatree(*args, **kwargs) as ds:
389 return ds.load()

Callers

nothing calls this directly

Calls 2

open_datatreeFunction · 0.70
loadMethod · 0.45

Tested by

no test coverage detected

Used in the wild real call sites across dependent graphs

searching dependent graphs…