Query and Transform
How-to guides for querying and transforming data in Rerun.
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Overview
A quick tour of the SDK and catalog server
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Common Dataframe Operations
Joins, filters, and aggregations on Rerun data
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Query images
Query and decode image frames from a catalog
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View Operations
Filter by episode, time, and column to focus a dataframe
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Query video streams
Query video streams & decode video frames
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Time-align data
Fill forward to run compute at a fixed frequency
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Generate segment URLs in dataframes
Generate clickable URLs that open segments in the Viewer
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Query data out of Rerun
Load Rerun data into Pandas, Polars, or DuckDB
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Dataset Resampling
Resample data streams produced at different frequencies
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Query Performance Tuning
Tips for keeping queries fast as datasets grow
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Creating sub-datasets
Reference a subset of an existing dataset without copying
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Storing query results in catalog tables
Persist derived data from catalog dataset queries