Hk package

seispy.hk module

seispy.hk.ci(allstack, h, kappa, ev_num)

Search best H and kappa from stacked matrix. Calculate error for H and kappa :param allstack: stacked HK matrix :param h: 1-D array of H :param kappa: 1-D array of kappa :param ev_num: event number :return:

seispy.hk.hk()

seispy.hk.hk_sta_test()

seispy.hk.hksta(hpara, isplot=False)

seispy.hk.hkstack(seis, t0, dt, p, h, kappa, vp=6.3, weight=(0.7, 0.2, 0.1))

seispy.hk.hktest()

seispy.hk.load_cyan_map()

seispy.hk.plot(stack, allstack, h, kappa, besth, bestk, cvalue, cmap=<matplotlib.colors.ListedColormap object>, title=None, path=None)

seispy.hk.print_result(besth, bestk, maxhsig, maxksig, print_comment=True)

seispy.hk.time2idx(times, ti0, dt)

seispy.hk.tppps(depth, eta_p, eta_s)

seispy.hk.tps(depth, eta_p, eta_s)

seispy.hk.tpsps(depth, eta_s)

seispy.hk.transarray(array, axis=0)

seispy.hk.vslow(v, rayp)

seispy.hkpara module

class seispy.hkpara.HKPara

Bases: object

property hrange

property krange

seispy.hkpara.hkpara(cfg_file)