Simple waveforms (from various earthquakes) plot with trace differentiation, normalization.

wave_plots.py

"""
File: wave_plots.py
Author: Andrey Stepnov
Email: [email protected], [email protected]
Github: https://github.com/jamm1985
Description: puts waveforms from different earthquakes in single plot using obspy and matplotlib
"""

from obspy import read
from obspy import UTCDateTime

import numpy as np

import matplotlib 
import matplotlib.pyplot as plt

tracelength = 15
textsize = 12

# https://eqalert.ru/#/events/Wgvx4NMj 
# LNSK SHZ - velocity
# read waveform file
ch_1 = read("../wave_data/2013-10-14-0836-05S.IMGG__021")
ch_1 = ch_1.select(station='LNSK', channel='SHZ')
# slice time
dt = UTCDateTime("2013-10-14T08:36:25.60")
ch_1 = ch_1.slice(dt, dt + tracelength)
ch_1.differentiate()
ch_1.normalize()
#ch_1.plot()

# https://eqalert.ru/#/events/GMmGPNgm 
# ARGI SHZ - velocity
ch_2 = read("../wave_data/2016-06-21-1759-25M.IMGG__018")
ch_2 = ch_2.select(station='ARGI',channel='SHZ')
dt = UTCDateTime("2016-06-21T17:59:55.87")
ch_2 = ch_2.slice(dt, dt + tracelength)
ch_2.differentiate()
ch_2.normalize()
#ch_2.plot()

# https://eqalert.ru/#/events/WgvnwNgj
# STO11 Z - acceleration 
ch_3 = read("../wave_data/2017-06-08-1907-39S.ST011_003")
ch_3 = ch_3.select(station='ST011',channel='C03')
dt = UTCDateTime("2017-06-08T19:08:07.80")
ch_3 = ch_3.slice(dt, dt + tracelength)
ch_3.normalize()
# custom fix zero shift :)
ch_3[0].data = ch_3[0].data - 0.08
#ch_3.plot()

# plot
matplotlib.rcParams.update({'font.size': 15})
ax3 = plt.subplot(313)
plt.plot(ch_3[0].times(), ch_3[0].data, "g-")
plt.yticks(np.arange(-1, 2, step=1))
ax3.set_title(str(ch_3[0].stats.starttime),
        fontsize = textsize,
        loc = 'right',
        pad = 1)
plt.xlabel('Seconds')
ax1 = plt.subplot(311, sharex=ax3)
plt.plot(ch_1[0].times(), ch_1[0].data, "b-")
plt.setp(ax1.get_xticklabels(), visible=False)
plt.yticks(np.arange(-1, 2, step=1))
ax1.set_title(str(ch_1[0].stats.starttime),
        fontsize = textsize,
        loc = 'right',
        pad = 1)
ax2 = plt.subplot(312, sharex=ax3)
plt.plot(ch_2[0].times(), ch_2[0].data, "r-")
plt.setp(ax2.get_xticklabels(), visible=False)
plt.yticks(np.arange(-1, 2, step=1))
ax2.set_title(str(ch_2[0].stats.starttime),
        fontsize = textsize,
        loc = 'right',
        pad = 1)
plt.show()