Skip to main content

Utility classes for working with the LSST EFD.

Project description

LSST EFD Client

https://img.shields.io/pypi/v/lsst-efd-client.svg https://img.shields.io/travis/lsst-sqre/lsst-efd-client.svg

Utility classes for working with the LSST EFD.

  • Free software: MIT license

Features

  • The client EfdClient, has several useful functions.

    • get_topics: Return the topics in the EFD.

    • get_fields: Return the fields in a particular topic

    • build_time_range_query: Build an InfluxQL query for a topic and time range

    • select_time_series: Return a DataFrame containing results of a time range query

    • select_packed_time_series: Return a DataFrame with high cadence telemetry expanded into a single DataFrame.

    • select_top_n: Return a DataFrame with the results of just the most recent rows.

    • get_schema: Get metadata for the fields in a particular topic.

  • There are also some utilities for dealing with results of queries

    • merge_packed_time_series: Takes a dataframe with records that have multiple samples per entry and returns a dataframe with one record per sample.

    • rendezvous_dataframes: Extend on dataframe with data from another dataframe using the closest record in time in the past, in the future, or nearest overall.

See example notebooks here.

For more information, see the online docs.

CONTRIBUTING

For information on contributing to this project see this page.

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.1.0 (2019-12-23)

  • First release on PyPI.

0.2.0 (2019-01-15)

  • Minimal functionality in place.

  • Docstrings complete.

0.3.0 (2019-01-31)

  • Unit tests added.

0.4.0 (2019-01-31)

  • Very minor doc updates.

  • Accidently pushed minor version when patch was meant.

0.5.0 (2020-05-29)

  • Switch to the segwarides based credentials.

0.6.0 (2021-02-11)

  • Fix bug in listing possible endpoints

  • Add some utility functionality and speed up unpacking packed time series (thank you RHL)

0.6.4 (2021-02-15)

  • Fix a regression that causes an exception when the name of one column is the same as the start of the name of another column

  • Add a test for the regression

0.7.0 (2021-03-24)

  • Add the get_schema method to fetch metadata about topic fields

  • Add a test for the schema parser

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lsst-efd-client-0.7.0.tar.gz (2.7 MB view details)

Uploaded Source

Built Distribution

lsst_efd_client-0.7.0-py2.py3-none-any.whl (11.2 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file lsst-efd-client-0.7.0.tar.gz.

File metadata

  • Download URL: lsst-efd-client-0.7.0.tar.gz
  • Upload date:
  • Size: 2.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.1

File hashes

Hashes for lsst-efd-client-0.7.0.tar.gz
Algorithm Hash digest
SHA256 9c944ee031466bd31edfde1dc2bc91cecdec52a87cdb6b45daad40bcf94189c4
MD5 63b9602ebc13a3cd4a2864a57c9a8ddf
BLAKE2b-256 176e1f0cf98fe775170fcff87d78c327e98e4700a4ef608a7ccad514ba321fd5

See more details on using hashes here.

File details

Details for the file lsst_efd_client-0.7.0-py2.py3-none-any.whl.

File metadata

  • Download URL: lsst_efd_client-0.7.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 11.2 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.1

File hashes

Hashes for lsst_efd_client-0.7.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 6c08ff15fd0f75a8bd01b2f550babb33d9ddfc14013634a159f30757311c12e2
MD5 667d92221fdfacb57b8ebbeb4bd47924
BLAKE2b-256 1506d1b036364e1ab44f76acd68d85bc7a795cebd9c8829e95471837676123ed

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page