Live plotting for data logging.

Two backends available:

• server: Plots in browser window (works everywhere)
• inline: Plots in notebook cells (requires jupyter_bokeh)

Subpackages

• backends - Bokeh backend protocols and base classes.

Module Contents

Functions

Data

logger _active_servers __all__

API

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stanza.plotter.logger

Value: getLogger(...)

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stanza.plotter._active_servers: dict[int, stanza.plotter.backends.server.ServerBackend]

Value: None

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stanza.plotter.enable_live_plotting(
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    data_logger: stanza.logger.data_logger.DataLogger,
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    backend: typing.Literal[server, inline] = 'server',
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    port: int = 5006,
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    session_token_expiration: int = sys.maxsize
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) -> stanza.plotter.backends.server.ServerBackend | stanza.plotter.backends.inline.InlineBackend

Enable live plotting for a data logger.

Parameters:

Returns:

Backend instance Example (server):

backend = enable_live_plotting(logger, backend=“server”, port=5006)

Open http://localhost:5006 in browser

Example (inline):

backend = enable_live_plotting(logger, backend=“inline”)

Plots appear in notebook cells

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stanza.plotter.__all__

Value: ['enable_live_plotting']