xarray Datasets for FITS-like data
Project description
Given some FITS files with matching HDUs:
$ tree data
/home/user/data
├── data-0.fits
├── data-1.fits
└── data-2.fits
0 directories, 3 files
>>> from xarrayfits import xds_from_fits
>>> datasets = xds_from_fits("/home/user/data*", prefix="data")
The above returns a list of three xarray Datasets
>>> datasets
[<xarray.Dataset> Size: 800B
Dimensions: (data0-0: 10, data0-1: 10)
Dimensions without coordinates: data0-0, data0-1
Data variables:
data0 (data0-0, data0-1) float64 800B dask.array<chunksize=(10, 10), meta=np.ndarray>,
<xarray.Dataset> Size: 800B
Dimensions: (data0-0: 10, data0-1: 10)
Dimensions without coordinates: data0-0, data0-1
Data variables:
data0 (data0-0, data0-1) float64 800B dask.array<chunksize=(10, 10), meta=np.ndarray>,
<xarray.Dataset> Size: 800B
Dimensions: (data0-0: 10, data0-1: 10)
Dimensions without coordinates: data0-0, data0-1
Data variables:
data0 (data0-0, data0-1) float64 800B dask.array<chunksize=(10, 10), meta=np.ndarray>]
Using xarray these can be concatenated along a dimension:
>>> import xarray >>> ds = xarray.concat(datasets, dim="data0-0") >>> ds <xarray.Dataset> Size: 2kB Dimensions: (data0-0: 30, data0-1: 10) Dimensions without coordinates: data0-0, data0-1 Data variables: data0 (data0-0, data0-1) float64 2kB dask.array<chunksize=(10, 10), meta=np.ndarray>
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