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DM-13876: implement ParquetStorage butler storage mechanism #89
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Original file line number | Diff line number | Diff line change |
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@@ -806,14 +806,15 @@ 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 | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Remove comment? |
||
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 |
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DataFrame -> ParquetTable?
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Not really; the comment here regards the fact that it is actually a multilevel pandas DataFrame that is stored in the parquet file.