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%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt

# Import the Parsers
from eqcat.parsers.isf_catalogue_reader import ISFReader
from eqcat.parsers.gcmt_ndk_parser import ParseNDKtoGCMT
from eqcat.parsers.converters import (GenericCataloguetoISFParser,
                                      GenericCataloguetoGCMT,
                                      GCMTtoISFParser)

Load in ISF Catalogue

With all agencies



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parser = ISFReader("inputs/isc_test_catalogue_isf.txt")
catalogue1 = parser.read_file("ISC_DB1", "ISC Global M >= 5")
print("Catalogue contains: %d events" % catalogue1.get_number_events())



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# Build Dataframes
origin_df1, magnitude_df1 = catalogue1.build_dataframe()



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origin_df1



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magnitude_df1

With only ISC, EHB and NEIC



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parser2 = ISFReader("inputs/isc_test_catalogue_isf.txt",
                   selected_origin_agencies=["ISC", "EHB", "NEIC"],
                   selected_magnitude_agencies=["ISC", "EHB", "NEIC"])
catalogue2 = parser2.read_file("ISC_DB2", "ISC Global M >= 5")
print("Catalogue contains: %d events" % catalogue2.get_number_events())



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# Build Dataframes
origin_df2, magnitude_df2 = catalogue2.build_dataframe()



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origin_df2



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magnitude_df2

Read in GCMT Catalogue (NDK Format)



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gcmt_parser = ParseNDKtoGCMT("inputs/gcmt_test_catalogue.txt")
gcmt_cat = gcmt_parser.read_file()
print("GCMT Catalogue contains %d moment tensors" % gcmt_cat.number_events())



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