The seeq-spy Python module is the recommended programming interface for interacting with the Seeq Server.
Use of this module requires a Seeq Data Lab license.
Documentation can be found at https://python-docs.seeq.com.
The Seeq SPy module is a friendly set of functions that are optimized for use with Jupyter, Pandas and NumPy.
The SPy module is the best choice if you're trying to do any of the following:
- Search for signals, conditions, scalars, assets
- Pull data out of Seeq
- Import data in a programmatic way (when Seeq Workbench's CSV Import capability won't cut it)
- Calculate new data in Python and push it into Seeq
- Create an asset model
- Programmatically create and manipulate Workbench Analyses or Organizer Topics
Use of the SPy module requires Python 3.8 or later.
SPy version 187 and higher is compatible with Pandas 2.x.
To start exploring the SPy module, execute the following lines of code in Jupyter:
from seeq import spy
spy.docs.copy()
Your Jupyter folder will now contain a SPy Documentation folder that has a Tutorial and Command Reference
notebook that will walk you through common activities.
For more advanced tasks, you may need to use the seeq.sdk module directly as described at
https://pypi.org/project/seeq.
Upgrade Considerations
The seeq-spy module can/should be upgraded separately from the main seeq module by doing pip install -U seeq-spy. It is written to be compatible with Seeq Server version R60 and later.
Read the Installation page in the SPy documentation
for further instructions on how to install and upgrade the seeq-spy module.
Check the Change Log and
Version Considerations pages for more details.
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