Individual skill
obspy-data-api
An overview of the core data API of ObsPy, a Python framework for processing seismological data. It is useful for parsing common seismological file formats, or manipulating custom data into standard objects for downstream use cases such as ObsPy's signal processing routines or SeisBench's modeling API.
tasks/seismic-phase-picking/environment/skills/obspy-data-api/SKILL.md
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# ObsPy Data API
## Waveform Data
### Summary
Seismograms of various formats (e.g. SAC, MiniSEED, GSE2, SEISAN, Q, etc.) can be imported into a `Stream` object using the `read()` function.
Streams are list-like objects which contain multiple `Trace` objects, i.e. gap-less continuous time series and related header/meta information.
Each Trace object has the attribute `data` pointing to a NumPy `ndarray` of the actual time series and the attribute `stats` which contains all meta information in a dict-like `Stats` object. Both attributes `starttime` and `endtime` of the Stats object are `UTCDateTime` objects.
A multitude of helper methods are attached to `Stream` and `Trace` objects for handling and modifying the waveform data.