Interactive multi scale time series exploration with matplotlib
summary
Shows how to use matplotlib event handling and pick callbacks to build a working multi-scale drilldown viewer that starts from monthly aggregates and drills to daily and hourly values using hourly NOAA BWI data (about two years of records). The demo reads an HDF5/PyTables file, uses the Qt backend or IPython with matplotlib 2.0 features, wires button/key and pick events to update three linked axes, and supports clicks to drill down and shift‑click to remove series.
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chapters (6)
- 0:00Matplotlib event handling
- 13:38Interactive environment setup
- 25:43Mouse and key events
- 40:14Exploring artists with pick
- 51:17Multi-scale time series interactions
- 1:00:04Summary and Q&A
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