anu-ctlab-io 1.2.0

python I/O for the ANU CTLab array storage format(s)

python I/O for the ANU CTLab array storage format(s).

Introduction

This package loads data provided in the specific NetCDF and Zarr formats produced by the ANU CTLab. The intention is that the consumers of the data we produce should be able to load that data and then work with that directly in standard scientific python workflows, rather than needing to use the pre-existing MANGO toolchain.

The specific netcdf and zarr loading functionality is contained in extras, so you will generally want to install this package as either anu_ctlab_io[netcdf] or anu_ctlab_io[zarr] depending on the format of data you want to read. The all extra enables all supported formats.

Examples

import anu_ctlab_io
from dask_image import ndfilters

dataset = anu_ctlab_io.Dataset.from_path(<path-to-your-data>)
blurred = ndfilters.gaussian_filter(dataset.data, sigma=3)
print(blurred.mean().compute())