Python tools for querying the MAST Archive
Project description
MASTQUERY
User-friendly tools for using the MAST Mashup API (https://mast.stsci.edu/api/v0/index.html)
Installation:
# From PIP
pip install mastquery
# *OR* from latest version of the respository
git clone https://github.com/gbrammer/mastquery.git
cd mastquery
pip install .
Demo:
See also demo.ipynb.
>>> from mastquery import query, fetch
### Query associations
>>> tab = query.run_query(box=None, proposal_id=[11359],
instruments=['WFC3/IR'],
filters=['G141'],
base_query=query.DEFAULT_QUERY)
>>> print(tab['obs_id', 'filter', 'exptime', 'proposal_id'])
obs_id filter exptime proposal_id
======== ====== ======= ===========
ib6o23010 G141 4211.7 11359
### Data products
>>> prod = query.get_products_table(tab, extensions=['RAW'])
>>> print(prod['observation_id', 'filter', 'productFilename'])
observation_id filter productFilename
============== ====== ==================
ib6o23rsq G141 ib6o23rsq_raw.fits
ib6o23ruq G141 ib6o23ruq_raw.fits
ib6o23ryq G141 ib6o23ryq_raw.fits
ib6o23s0q G141 ib6o23s0q_raw.fits
### Fetch products
>>> s3_lines = fetch.make_curl_script(prod, script_name=None, s3_sync=True)
>>> print(s3_lines[0])
aws s3 sync --request-payer requester --exclude="*.*" --include="*raw.fits" s3://stpubdata/hst/public/ib6o/ib6o23rsq/ .//
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