https://github.com/dashesy/pandas-tsdb

pandas interface to some timeseries database
https://github.com/dashesy/pandas-tsdb

Last synced: over 1 year ago
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pandas interface to some timeseries database

• Host: GitHub
• URL: https://github.com/dashesy/pandas-tsdb
• Owner: dashesy
• License: other
• Created: 2015-02-23T17:37:48.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2015-04-12T02:39:35.000Z (about 11 years ago)
• Last Synced: 2025-01-13T06:28:27.610Z (over 1 year ago)
• Language: Python
• Size: 184 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# pandas-tsdb: timeseries database interface for Pandas

## What is it

time-series databases fit naturaly with Pandas dataframes. Plan is to make this a PR against Pandas when underlying backend(s) is released.

The dataframe column names that start with `_` will be treated as metadata that do not need to be saved to database unless as tags/labels, e.g. `_pk` can be used as primary key to group different measurements together.

Column names should follow a namespace notation with dots (`.`) e.g. `activity.calories` is measurement about calories but has namesapce of `activity`. 

Namespaces can be automatically added to columns prior to recording to database, and taken out when reading results.

## Supported backends

At this point the only supported backend is InfluxDB, but there is at least one more we will add later.

## License

BSD