import numpy as np
import matplotlib.pyplot as plt
from matplotlib import mlab
from matplotlib.colors import LinearSegmentedColormap
from matplotlib.dates import date2num
from matplotlib.mlab import detrend_none, window_hanning
from matplotlib.ticker import FormatStrFormatter
from obspy import Stream, Trace
from obspy.core.util import get_matplotlib_version
from obspy.signal.invsim import cosine_taper
from obspy.signal.util import prev_pow_2
MATPLOTLIB_VERSION = get_matplotlib_version()
dtiny = np.finfo(0.0).tiny
# build colormap as done in paper by mcnamara
CDICT = {
"red": (
(0.0, 1.0, 1.0),
(0.05, 1.0, 1.0),
(0.2, 0.0, 0.0),
(0.4, 0.0, 0.0),
(0.6, 0.0, 0.0),
(0.8, 1.0, 1.0),
(1.0, 1.0, 1.0),
),
"green": (
def lines(self):
if get_matplotlib_version() < [1, 3, 0]:
return self.__dict__["lines"]
else:
return self.vlines
def lines(self, value):
if get_matplotlib_version() < [1, 3, 0]:
self.__dict__["lines"] = value
else:
self.vlines = value
from matplotlib.ticker import FormatStrFormatter
from obspy import Stream, Trace, UTCDateTime
from obspy.core import Stats
from obspy.core.inventory import Inventory
from obspy.core.util import get_matplotlib_version
from obspy.core.util.decorator import deprecated_keywords, deprecated
from obspy.core.util.deprecation_helpers import ObsPyDeprecationWarning
from obspy.imaging.cm import obspy_sequential
from obspy.io.xseed import Parser
from obspy.signal.invsim import cosine_taper
from obspy.signal.util import prev_pow_2
from obspy.signal.invsim import paz_to_freq_resp, evalresp
MATPLOTLIB_VERSION = get_matplotlib_version()
dtiny = np.finfo(0.0).tiny
NOISE_MODEL_FILE = os.path.join(os.path.dirname(__file__),
"data", "noise_models.npz")
NPZ_STORE_KEYS = [
'hist_stack',
'_times_data',
'_times_gaps',
'_times_used',
'xedges',
'yedges',
'channel',
'delta',
'freq',