Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

DM-13877: Write task to consolidate QA tables at the tract level #90

Merged
merged 7 commits into from
May 2, 2018
Merged

DM-13877: Write task to consolidate QA tables at the tract level #90

Changes from all commits
Commits
Show all changes
7 commits
Select commit Hold shift + click to select a range
51bb4a2
Change storage type and python type of object table dataset
timothydmorton Apr 16, 2018
fc713bd
Update description of deepCoadd_obj
timothydmorton Apr 16, 2018
6859b3f
add deepCoadd_qa dataset
timothydmorton Apr 17, 2018
5623ba7
add config storage for WriteQATask
timothydmorton Apr 17, 2018
c3da66e
add consolidateQATable_config
timothydmorton Apr 17, 2018
b64c152
add deepCoadd_qa_tract dataset
timothydmorton Apr 17, 2018
03a78d0
change template for deepCoadd_qa to not be same as deepCoadd_obj
timothydmorton Apr 17, 2018
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
36 changes: 31 additions & 5 deletions policy/datasets.yaml
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -806,14 +806,40 @@ deepCoadd_obj: #consolidated multi-band object tables from coadd
description: >
Consolidated coadd multi-band object table, a merge of
deepCoadd_meas, deepCoadd_forced_src and deepCoadd_ref tables for multiple bands.
This is a pandas DataFrame with a multi-level column index; access a particular
subcatalog as df['meas']['HSC-R'], e.g.
This is stored as a DataFrame with a multi-level column index; access a particular
subtable with, e.g. catalog.to_df(columns=dict(dataset='meas', filter='HSC-G'));
see MultilevelParquetTable documentation for more.
persistable: ignored
storage: FitsCatalogStorage
python: lsst.qa.explorer.table.ParquetTable
storage: ParquetStorage
python: lsst.qa.explorer.parquetTable.MultilevelParquetTable # pandas.DataFrame to write
template: deepCoadd-results/merged/%(tract)d/%(patch)s/obj-%(tract)d-%(patch)s.parq
writeObjectTable_config:
persistable: Config
python: lsst.qa.explorer.writeParquet.WriteObjectTableConfig
python: lsst.qa.explorer.writeObjectTable.WriteObjectTableConfig
storage: ConfigStorage
template: config/writeObjectTable.py
deepCoadd_qa:
description: >
Quantities useful for QA, computed from the deepCoadd_obj catalog.
persistable: ignored
storage: ParquetStorage
python: lsst.qa.explorer.parquetTable.MultilevelParquetTable
template: deepCoadd-results/qa/%(tract)d/%(patch)s/qa-%(tract)d-%(patch)s.parq
writeQATable_config:
persistable: Config
python: lsst.qa.explorer.writeQATable.WriteQATableConfig
storage: ConfigStorage
template: config/writeQATable.py
consolidateQATable_config:
persistable: Config
python: lsst.qa.explorer.consolidateQATable.ConsolidateQATableConfig
storage: ConfigStorage
template: config/consolidateQATable.py
deepCoadd_qa_tract:
description: >
Contents same as deepCoadd_qa, but consolidated one-per-tract.
persistable: ignored
storage: ParquetStorage
python: lsst.qa.explorer.parquetTable.MultilevelParquetTable
template: deepCoadd-results/qa/%(tract)d/qa-%(tract)d.parq