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>
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
xarray_fits-0.2.0.tar.gz
(5.4 kB
view details)
Built Distribution
File details
Details for the file xarray_fits-0.2.0.tar.gz
.
File metadata
- Download URL: xarray_fits-0.2.0.tar.gz
- Upload date:
- Size: 5.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.0.0 CPython/3.12.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ae514387754a0bd5dd8e7de3487c87102d68ae97d032f36dd7e4e5fbc419a546 |
|
MD5 | 2da0561595deb50689c8be11dde63024 |
|
BLAKE2b-256 | b295eec93c4d6d69433585683b8c02b35a6680763b54b824ef195eb5825b96e1 |
File details
Details for the file xarray_fits-0.2.0-py3-none-any.whl
.
File metadata
- Download URL: xarray_fits-0.2.0-py3-none-any.whl
- Upload date:
- Size: 6.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.0.0 CPython/3.12.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | aaaec58654df0c919e92a53c3a973114265405192647f6b37b5b478380df3d4f |
|
MD5 | bc69ce1f5ce0bf10c96eed35bd596a70 |
|
BLAKE2b-256 | 9f9fe44efcd6dad959e92c2de912cdcf5fe29a93621babcdc9b508229baf91d0 |