WriteSourceTableTask

WriteSourceTableTask converts table of sources measured on a calexp (dataset src) to a parquet file. All data is copied without transformation, and column names are unchanged, except for the "id" column, which is replaced by a DataFrame index.

It is the first of three postprocessing tasks to convert a src table to a per-visit Source Table that conforms to the standard data model. The second is TransformSourceTableTask, and the third is ConsolidateSourceTableTask.

Processing summary

WriteSourceTableTask reads in the src table, calls its asAstropy method to produce a DataFrame, and writes it out in parquet format.

Python API summary

from lsst.pipe.tasks.postprocess import WriteSourceTableTask
classWriteSourceTableTask(*, config=None, log=None, initInputs=None, **kwargs)

Write source table to DataFrame Parquet format...

attributeconfig

Access configuration fields and retargetable subtasks.

methodrun(catalog, visit, detector, **kwargs)

Convert `src` catalog to DataFrame...

See also

See the WriteSourceTableTask API reference for complete details.

Butler datasets

When run through the runQuantum method, WriteSourceTableTask obtains datasets from the input Butler data repository and persists outputs to the output Butler data repository. Note that configurations for WriteSourceTableTask, and its subtasks, affect what datasets are persisted and what their content is.

Input datasets

src

Full depth source catalog (lsst.afw.table) produced by ProcessCcdTask

Output datasets

source

Full depth source catalog (parquet)

Retargetable subtasks

No subtasks.

Configuration fields

connections

Data type

lsst.pipe.base.config.WriteSourceTableConfigConnections

Field type

ConfigField

Configurations describing the connections of the PipelineTask to datatypes

saveLogOutput

Default
True
Field type

bool Field

Flag to enable/disable saving of log output for a task, enabled by default.