Visualize a live stream of several plots, scrolling horizontally to keep a fixed window of data. ## Used Rerun types [`Scalars`](https://www.rerun.io/docs/reference/types/archetypes/scalars) ## Setting up the blueprint In order to only show a fixed window of data, this example creates a blueprint that uses the `time_ranges` parameter of the `TimeSeriesView` blueprint type. We dynamically create a `TimeSeriesView` for each plot we want to show, so that we can set the `time_ranges`. The start of the visible time range is set to the current time minus the window size, and the end is set to the current time. ```python rr.send_blueprint( rrb.Grid( contents=[ rrb.TimeSeriesView( origin=plot_path, time_ranges=[ rrb.VisibleTimeRange( "time", start=rrb.TimeRangeBoundary.cursor_relative(seconds=-args.window_size), end=rrb.TimeRangeBoundary.cursor_relative(), ) ], plot_legend=rrb.PlotLegend(visible=False), ) for plot_path in plot_paths ] ), ) ``` ## Run the code To run this example, make sure you have the Rerun repository checked out and the latest SDK installed: ```bash # Setup pip install --upgrade rerun-sdk # install the latest Rerun SDK git clone git@github.com:rerun-io/rerun.git # Clone the repository cd rerun git checkout latest # Check out the commit matching the latest SDK release ``` Install the necessary libraries specified in the requirements file: ```bash pip install -e examples/python/live_scrolling_plot ``` Then, simply execute the main Python script: ```bash python -m live_scrolling_plot ```