How-to guides#
Goal-oriented recipes. These pages assume you already know the basics (see the tutorials) and answer the question “how do I accomplish X?”.
Data and formats#
Supported file formats and direct .read() / .write() paths.
Convert to and from external libraries with to_*() / from_*().
Convert between GPS, UTC, and human-readable times.
Tools and operations#
Diagnose and fix common problems.
Upgrade notes and breaking changes between releases.
Install and use the standalone pyaggui project when you have repository access.
Technique recipes#
Task-focused notebooks grouped by analysis domain. Each card opens a small gallery of worked recipes.
Matrix and field containers that extend GWpy’s series types.
Spectrograms, Hilbert-Huang, peak detection and method comparison.
Curve fitting, ARIMA, decomposition and non-Gaussian statistics.
Resonance, feedback, discretization and plant modeling.
Track contributions across auxiliary channels and fields.
Build, visualize and analyze data-quality segments and tabular results.
Long-term trends, event catalog correlation, and chunked streaming workflows.
Frequency-dependent calibration transfer functions and physical unit contracts.
Map plotting, plus a worked interop-conversion walkthrough.
Case studies#
A gallery of complete, real-world analyses you can adapt.