https://github.com/hombit/load_ztfdr_for_tape

Load ZTF DRs with LINCC Frameworks' TAPE
https://github.com/hombit/load_ztfdr_for_tape

Last synced: 24 days ago
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Load ZTF DRs with LINCC Frameworks' TAPE

• Host: GitHub
• URL: https://github.com/hombit/load_ztfdr_for_tape
• Owner: hombit
• License: mit
• Created: 2023-12-11T13:23:43.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-12T22:19:01.000Z (about 1 year ago)
• Last Synced: 2024-10-28T12:09:44.834Z (2 months ago)
• Language: Python
• Size: 2.15 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# load_ztfdr_for_tape

[![Template](https://img.shields.io/badge/Template-LINCC%20Frameworks%20Python%20Project%20Template-brightgreen)](https://lincc-ppt.readthedocs.io/en/latest/)

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[![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/hombit/load_ztfdr_for_tape/smoke-test.yml)](https://github.com/hombit/load_ztfdr_for_tape/actions/workflows/smoke-test.yml)

[![codecov](https://codecov.io/gh/hombit/load_ztfdr_for_tape/branch/main/graph/badge.svg)](https://codecov.io/gh/hombit/load_ztfdr_for_tape)

[![Read the Docs](https://img.shields.io/readthedocs/load_ztfdr_for_tape)](https://load_ztfdr_for_tape.readthedocs.io/)

[![benchmarks](https://img.shields.io/github/actions/workflow/status/hombit/load_ztfdr_for_tape/asv-main.yml?label=benchmarks)](https://hombit.github.io/load_ztfdr_for_tape/)

This project was automatically generated using the LINCC-Frameworks 

[python-project-template](https://github.com/lincc-frameworks/python-project-template).

Get Dask DataFrames from ZTF DRs for [LINCC Frameworks' Tape](https://github.com/lincc-frameworks/tape/).

Basically, you need a single function call to get "object" (metadata) and "source" (photometry per detection) tables from a ZTF DR:

```python

from load_ztfdr_for_tape import load_object_source_frames_from_path

from tape import Ensemble, ColumnMapper

# Replace with the actual path, here we use few files from the test data

ztf_dr_path = './tests/data/lc_dr19'

objects, sources = load_object_source_frames_from_path(ztf_dr_path)

column_mapper = ColumnMapper(

    id_col='objectid',

    time_col='hmjd',

    flux_col='mag',

    err_col='magerr',

    band_col='filterid',

)

# Replace `False` with dask.distributed.Client instance for parallel execution

ens = Ensemble(client=False)

ens.from_dask_dataframe(

    object_frame=objects,

    source_frame=sources,

    column_mapper=column_mapper,

    # Do not make an initial sync of the tables

    sync_tables=False,

    # We did sort the tables by objectid

    sorted=True,

    sort=False,

)

```