docs/content/howto/query-and-transform/view_operations.md
Robotics data has many sensors and many columns. In order to more narrowly specify relevant content for further dataframe operations you first generate a view. This view can filter on episode, time, column name etc. This example shows specific instances highlighting these capabilities.
The dependencies in this example are contained in rerun-sdk[all].
Simplified setup.
Perform imports and launch local server for demonstration.
Extract an initial view observations that we later refine before generating a dataframe.
snippet: howto/view_operations[setup]
Limit the scope of the view so that only a subset of data will ever be considered client side. Pick a specific episode by id, and a time range.
snippet: howto/view_operations[filtering]
So far we've been selecting real_time as the index. However, some data might not change in time (e.g. static transformations)
and thus isn't aligned with a time index. We specify this static timeline with None.
snippet: howto/view_operations[static_data]