Closed william-silversmith closed 5 years ago
Resolves #6
Tested:
import fpzip import numpy as np import gcsfs import pandas as pd import xarray as xr gcs = gcsfs.GCSFileSystem(project='pangeo-181919', token='anon') # ds_ssh = xr.open_zarr(gcsfs.GCSMap('pangeo-data/dataset-duacs-rep-global-merged-allsat-phy-l4-v3-alt', # gcs=gcs)) ds_llc_sst = xr.open_zarr(gcsfs.GCSMap('pangeo-data/llc4320_surface/SST', gcs=gcs), auto_chunk=False) data = ds_llc_sst.SST[:5, 1, 800:800+720, 1350:1350+1440].values x = fpzip.compress(data) print(len(x), data.nbytes)
Outputs: 13081082 20736000 (ratio: 0.63)
13081082 20736000
Also successfully decompresses.
Resolves #6
Tested:
Outputs:
13081082 20736000
(ratio: 0.63)Also successfully decompresses.