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ObsPy Documentation

repository·master·Indexed 23 days ago

https://github.com/obspy/obspy

ObsPy is an open-source Python framework for processing seismological data, featuring parsers for common file formats, data center clients, and signal processing routines for seismological time series. The documentation covers installation via pip, conda, and SaltStack, as well as advanced developer workflows including Docker-based testing, .deb and conda package building, and the libmseed framework for manipulating SEED records.

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What's inside ObsPy

  1. Overview of obspy.io.mseed

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    The obspy.io.mseed module provides read and write support for Mini-SEED waveform data. It includes convenient methods for handling Mini-SEED files and is primarily powered by libmseed (a C library) interfaced via Python ctypes for high performance.

  2. Overview of obspy.realtime

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    The obspy.realtime package provides real-time support for ObsPy. It extends the core ObsPy classes with functionality specifically designed for real-time seismological data processing, building upon the standard ObsPy framework for parsing file formats and performing signal processing routines on seismological time series.

  3. Overview of libmseed functionality

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    libmseed is a framework for manipulating SEED (Standard for the Exchange of Earthquake Data) records. Its primary capabilities include:

    • Packing and unpacking of SEED data records.
    • Waveform management for continuous traces.

    Compatibility Notes:

    • Supports all structures of SEED 2.4 data records.
    • Exceptions: It does not support Blockette 2000 (opaque data with unknown structure) or Blockette 405 (which requires full SEED ASCII headers for complete description).
    • Supported Environments: Linux, BSD (including macOS), Solaris, and Win32.

  4. Overview of the obspy.core package

    master

    The obspy.core package is the central component of the ObsPy framework, providing the fundamental data structures and methods used across all other ObsPy packages. It is designed for processing seismological data and facilitating rapid application development in seismology.

    Key components include:

    • Core Data Classes: UTCDateTime (for time handling), Stats (for metadata), Stream (for collections of traces), and Trace (for individual seismograms).
    • I/O Operations: Methods for reading and writing various seismogram file formats.
    • Signal Processing: Routines for manipulating seismological time series.

  5. Overview of obspy.clients.seedlink

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    The obspy.clients.seedlink package provides a SeedLink client implementation for ObsPy. It allows users to interact with SeedLink servers to stream seismological data in real-time. ObsPy itself is a Python framework designed for processing seismological data, offering parsers for common file formats and signal processing routines for manipulating seismological time series.

  6. Overview of the obspy.signal package

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    The obspy.signal package provides a suite of signal processing routines specifically designed for seismological data. It is used to manipulate seismological time series through various processing stages.

    Key capabilities include:

    • Filtering: Applying frequency-based filters to signals.
    • Triggering: Identifying seismic events within data.
    • Rotation: Rotating seismological components.
    • Instrument Correction: Removing instrument response from data.
    • Coordinate Transformations: Converting between different coordinate systems.

  7. Overview of the obspy.imaging package

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    The obspy.imaging package provides specialized plotting and visualization routines for seismological data. It is designed to handle common seismology-specific tasks such as:

    • Plotting waveform data.
    • Generating spectrograms.
    • Drawing beachballs (focal mechanism diagrams).

    Note that this package depends on matplotlib for its rendering capabilities.

  8. ObsPy Package Overview

    master

    ObsPy is organized into several functional categories:

    General Packages

    Core functionality including obspy.core, obspy.geodetics, obspy.imaging, obspy.realtime, obspy.signal, and obspy.taup.

    Database or Web Service Access Clients

    Clients for remote and local data access, including obspy.clients.earthworm, obspy.clients.fdsn, obspy.clients.filesystem, obspy.clients.iris, obspy.clients.neic, obspy.clients.nrl, obspy.clients.seedlink, and obspy.clients.syngine.

    Command-line Scripts

    ObsPy ships with various scripts for tasks like imaging (scan, plot, mopad), data conversion (dataless2xseed, xseed2dataless), and reporting (sds_html_report).

  10. Use the obspy.io.nied package for NIED data

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    The obspy.io.nied package provides tools for reading and handling seismological data from the National Research Institute for Earth Science and Disaster Resilience (NIED). It includes specialized modules for different NIED data formats:

    • fnetmt: Likely used for processing specific NIED format metadata or time-series files.
    • knet: Used for handling K-NET (Kyoshin Network) data formats.

    To use these, import the relevant submodules from obspy.io.nied.

  12. Use obspy.io.mseed for MiniSEED data handling

    master

    The obspy.io.mseed package provides tools for reading and writing MiniSEED files, a common format in seismology. It is organized into two main modules:

    • core: Contains the primary interfaces for interacting with MiniSEED data.
    • util: Provides utility functions for MiniSEED operations.

    Additionally, the package includes a script called scripts.recordanalyzer for analyzing records.