xarray-fits 0.2.3

xarray Datasets for FITS-like data

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>