Table of Contents
Introduction
libcomcat is a project designed to provide a Python equivalent to the ANSS ComCat search
API. This includes a Python library
that provides various classes and functions wrapping around the ComCat API, and a number of command
line programs that use those:
findid
Find the ID of an event closest to input parameters (time, latitude, longitude). Also can provide the authoritative ID if an event id is provided.getcsv
Generate csv or Excel files with basic earthquake information.geteventhist
Generate csv or Excel files with a history of product submission for an event.getmags
Download all available magnitudes from all sources.getpager
Download information that represents the PAGER exposure and loss results.getphases
Generate csv or Excel files with phase information.getproduct
Download ComCat product contents (shakemap grids, origin quakeml, etc.)
Installation
libcomcat
is now installable via pip:
pip install usgs-libcomcat
Uninstalling and Updating
To uninstall:
pip uninstall usgs-libcomcat
To update:
pip install --upgrade usgs-libcomcat
Motivation
libcomcat is a python wrapper for the Comprehensive Catalog (ComCat), which has a web page interface and API. ComCat contains information in Events which contain Products. Products contain Contents in the form of files, maps, etc.
The ComCat interface is very user friendly, but does not support automation. The API supports automation, but limits the number of events that can be returned to 20,000. libcomcat uses the API in a way that allows for:
- Searches returning more than 20,000 eventsource
- Automation of product file downloads
- Extraction of information in product content files
Documentation
Documentation can be found in the docs folder:
Example Jupyter notebooks show how the API can be used to get and manipulate information from ComCat:
Note: The ShakeMap/DYFI Station Pairs Notebook requires a geodetic distance calculation function
, which can be installed via: pip install geopy
Getting Help
Any questions about libcomcat can be directed to the primary author:
Mike Hearne
mhearne@usgs.gov
Citation
If you wish to cite this work in your own publication, you may use this DOI:
https://doi.org/10.5066/P91WN1UQ