calum-chamberlain

from obspy.clients.fdsn import Client

publicIDs=['2016p008122', '2016p008353', '2016p008155', '2016p008194']
client = Client("GEONET")
  
catalog = Catalog()
for publicID in publicIDs:
    data_stream = client._download('http://quakeml.geonet.org.nz/' +
                                   'quakeml/1.2/' + publicID)
    data_stream.seek(0, 0)

calum-chamberlain

def inventory_to_seisan(inventory, filename):
    """
    Write station co-ordinates from an inventory object to STATION0.HYP format.

    :type inventory: :class:`~obspy.core.inventory.Inventory`
    :param inventory: Inventory to write co-ordinated from.
    :type filename: str
    :param filename: Filename to output to, will overwrite file is present

    .. note::

calum-chamberlain

from eqcorrscan.core import match_filter, lag_calc
from eqcorrscan.utils import pre_processing
from eqcorrscan.utils.plotting import detection_multiplot
from obspy import read, Catalog
import glob
import os

outfile = open("failed_days", "w")

# Read in the templates

calum-chamberlain

def normxcorr1(template, search_window):
    """
    Normlized cross-correlation using scipy - contributed by d-chambers.

    :type template: :class:`numpy.ndarray`
    :param template: 1D numpy array to use as template
    :type search_window: :class: `numpy.ndarray`
    :param search_window: 1D numpy array to search for the template within.

    :rtype: :class: `numpy.ndarray`

calum-chamberlain

from __future__ import division, print_function, absolute_import

import bottleneck
import threading
import numpy as np
import time

from scipy._lib._version import NumpyVersion
from scipy.signal.signaltools import _centered
from scipy import fftpack

calum-chamberlain

calum-chamberlain

calum-chamberlain

calum-chamberlain

def get_geonet_moment_tensor(catalog):
    """
    Get the moment tensor info for a given set of events, and add them to the
    events.

    Use John Ristau's MT catalog here:
        `https://raw.githubusercontent.com/GeoNet/data/master/moment-tensor/GeoNet_CMT_solutions.csv`
    which does not include all events, if events are not in the database they
    will warn that they are not found.

calum-chamberlain