Catalog#

Catalog#

Simple representation of an earthquake catalog, storing each single event as a row.

Constructor#

A subclass of pandas DataFrame that represents a catalog of earthquakes.

`Catalog.from_quakeml`	Create a Catalog from a QuakeML file.
`Catalog.from_dict`	Create a Catalog from a list of dictionaries.

Estimate from Catalog#

`Catalog.estimate_b`	Estimates b-value of the Gutenberg-Richter (GR) law, using the magnitudes in the Catalog.
`Catalog.estimate_a`	Estimates a-value of the Gutenberg-Richter (GR) law, using the magnitudes in the Catalog.
`Catalog.estimate_mc_ks`	Returns the smallest magnitude in a given list of completeness magnitudes for which the KS test is passed, i.e., where the null hypothesis that the sample of magnitudes is drawn from a Gutenberg-Richter law cannot be rejected.
`Catalog.estimate_mc_maxc`	Returns the completeness magnitude (mc) estimate using the maximum curvature method.

Modify Catalog#

`Catalog.bin_magnitudes`	Rounds values in the `magnitude` column of the catalog to a given precision `delta_m`.
`Catalog.strip`	Remove all columns except the required ones defined in `_required_cols`.
`Catalog.drop_ids`	Drop event, origin, and magnitude IDs from the catalog.
`Catalog.drop_uncertainties`	Drop uncertainty columns from the catalog.

Convert to other format#

Catalog.to_quakeml

Convert the catalog to QuakeML format.