https://github.com/deshima-dev/decode
:zap: DESHIMA code for data analysis
https://github.com/deshima-dev/decode
astronomy data-analysis deshima python spectroscopy submillimeter
Last synced: 24 days ago
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:zap: DESHIMA code for data analysis
- Host: GitHub
- URL: https://github.com/deshima-dev/decode
- Owner: deshima-dev
- License: mit
- Created: 2017-07-14T10:35:55.000Z (almost 8 years ago)
- Default Branch: main
- Last Pushed: 2025-03-13T06:43:53.000Z (4 months ago)
- Last Synced: 2025-03-21T02:32:34.957Z (4 months ago)
- Topics: astronomy, data-analysis, deshima, python, spectroscopy, submillimeter
- Language: Python
- Homepage: https://deshima-dev.github.io/decode/
- Size: 8.91 MB
- Stars: 7
- Watchers: 2
- Forks: 2
- Open Issues: 14
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: .github/CODE_OF_CONDUCT.md
- Citation: CITATION.cff
Awesome Lists containing this project
README
# de:code
[](https://pypi.org/project/decode/)
[](https://pypi.org/project/decode/)
[](https://pepy.tech/project/decode)
[](https://doi.org/10.5281/zenodo.3384216)
[](https://github.com/deshima-dev/decode/actions)DESHIMA code for data analysis
## Installation
```shell
pip install decode==2025.2.0
```## Quick look
de:code ships with a quick look command `decode-qlook`, which will be available from the CUI after installation. It has several subcommands for each observation type. For example, to quick-look at a raster observation:
```shell
$ decode-qlook raster /path/to/dems.zarr.zip
```
where `dems.zarr.zip` is the merged observation data ([DESHIMA measurement set: DEMS](https://github.com/deshima-dev/dems)) to be checked. By default, it will output an image of the result plots by a simple analysis (e.g. continuum map, etc). You can also get the result data themselves by changing the output format:
```shell
$ decode-qlook raster /path/to/dems.zarr.zip --format zarr.zip
```
See the command help for all available options:
```shell
# list of the subcommands and descriptions
$ decode-qlook --help# list of the available command options
$ decode-qlook raster --help
```If you are not sure about the observation type, the `auto` subcommand may be useful to automatically select the appropriate command to use:
```shell
$ decode-qlook auto /path/to/dems.zarr.zip
```Finally, all subcommands are available as functions in the `qlook` submodule. For example, the `raster` command corresponds to `decode.qlook.raster` and the following Python code is equivalent to the CUI:
```python
import decodedecode.qlook.raster("/path/to/dems.zarr.zip")
```
See [the qlook module documentation](https://deshima-dev.github.io/decode/_apidoc/decode.qlook.html) for more information.