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Oriol Tintó authoredOriol Tintó authored
using_api.rst 1.49 KiB
Using the Python API
Writing compressed files
Using enstools's read and write compressing a file could be done by:
from enstools.io import read,write
with read("input.nc") as dataset:
write(dataset,"output.nc", compression=lossless)
We added a method that does just thad adding few more features: :meth:`enstools.compression.api.compress`
Finding compression parameters
:meth:`enstools.compression.api.analyze_files` :meth:`enstools.compression.api.analyze_dataset`
To analyze a dataset: .. code:
from enstools.io import read
from enstools.compression.api import analyze_dataset
with read("input.nc") as dataset:
results = analyze_dataset(dataset)
To analyze a file:
from enstools.compression.api import analyze_files
results = analyze_files("input.nc")
Emulator
from enstools.io import read
from enstools.encoding.api import emulate_compression_on_dataset
results = analyze_files("input.nc")
with read("input.nc") as dataset:
compressed_dataset = emulate_compression_on_dataset(dataset, compression="lossy,sz,pw_rel,1e-5", inplace=False)
diff = compressed_dataset - dataset
xarray accessor
from enstools.io import read
import enstools.compression.xr_accessor
with read("input.nc") as dataset:
results = dataset.compression.analyze()