def test_readBytesIO(self):
"""
Tests reading from BytesIO instances.
"""
# 1
file = os.path.join(self.path, 'example.y_first_trace')
with open(file, 'rb') as f:
data = f.read()
st = readSEGY(io.BytesIO(data))
self.assertEqual(len(st.traces[0].data), 500)
# 2
file = os.path.join(self.path, 'ld0042_file_00018.sgy_first_trace')
with open(file, 'rb') as f:
data = f.read()
st = readSEGY(io.BytesIO(data))
self.assertEqual(len(st.traces[0].data), 2050)
# 3
file = os.path.join(self.path, '1.sgy_first_trace')
with open(file, 'rb') as f:
data = f.read()
st = readSEGY(io.BytesIO(data))
self.assertEqual(len(st.traces[0].data), 8000)
# 4
file = os.path.join(self.path, '00001034.sgy_first_trace')
with open(file, 'rb') as f:
data = f.read()
st = readSEGY(io.BytesIO(data))
self.assertEqual(len(st.traces[0].data), 2001)
# 5
file = os.path.join(self.path, 'planes.segy_first_trace')
with open(file, 'rb') as f:
data = f.read()
st = readSEGY(io.BytesIO(data))
self.assertEqual(len(st.traces[0].data), 512)
def main():
from obspy.segy.segy import readSEGY
filename = '/Users/Uqer/Dropbox/SEGY/dr01.sgy'
st = readSEGY(filename)
tr = st.traces[0].data
picker = merpicker(tr, 512, 0.25, 20, 600, "True")
print(picker)
def readData(self):
temp = readSEGY(self.fileName,headonly=True)
#print dir(temp)
#print dir(temp.traces[0])
#print temp.binary_file_header
self.ntraces = len(temp.traces)
self.ntimes = len(temp.traces[0].data)
# temporary for testing only
self.ntraces = 1000
# Put the traces in a numpy array
self.data = np.empty([self.ntimes,self.ntraces])
for i in range(0,self.ntraces):
self.data[:,i] = temp.traces[i].data
del temp # just making sure
def readData(self):
temp = readSEGY(self.fileName, headonly=True)
#print dir(temp)
#print dir(temp.traces[0])
#print temp.binary_file_header
self.ntraces = len(temp.traces)
self.ntimes = len(temp.traces[0].data)
# temporary for testing only
self.ntraces = 1000
# Put the traces in a numpy array
self.data = np.empty([self.ntimes, self.ntraces])
for i in range(0, self.ntraces):
self.data[:, i] = temp.traces[i].data
del temp # just making sure
def test_unpackBinaryFileHeader(self):
"""
Compares some values of the binary header with values read with
SeisView 2 by the DMNG.
"""
file = os.path.join(self.path, '1.sgy_first_trace')
segy = readSEGY(file)
header = segy.binary_file_header
# Compare the values.
self.assertEqual(header.job_identification_number, 0)
self.assertEqual(header.line_number, 0)
self.assertEqual(header.reel_number, 0)
self.assertEqual(header.number_of_data_traces_per_ensemble, 24)
self.assertEqual(header.number_of_auxiliary_traces_per_ensemble, 0)
self.assertEqual(header.sample_interval_in_microseconds, 250)
self.assertEqual(
header.sample_interval_in_microseconds_of_original_field_recording,
250)
self.assertEqual(header.number_of_samples_per_data_trace, 8000)
self.assertEqual(
header.
number_of_samples_per_data_trace_for_original_field_recording,
8000)
self.assertEqual(header.data_sample_format_code, 2)
self.assertEqual(header.ensemble_fold, 0)
self.assertEqual(header.trace_sorting_code, 1)
self.assertEqual(header.vertical_sum_code, 0)
self.assertEqual(header.sweep_frequency_at_start, 0)
self.assertEqual(header.sweep_frequency_at_end, 0)
self.assertEqual(header.sweep_length, 0)
self.assertEqual(header.sweep_type_code, 0)
self.assertEqual(header.trace_number_of_sweep_channel, 0)
self.assertEqual(header.sweep_trace_taper_length_in_ms_at_start, 0)
self.assertEqual(header.sweep_trace_taper_length_in_ms_at_end, 0)
self.assertEqual(header.taper_type, 0)
self.assertEqual(header.correlated_data_traces, 0)
self.assertEqual(header.binary_gain_recovered, 0)
self.assertEqual(header.amplitude_recovery_method, 0)
self.assertEqual(header.measurement_system, 0)
self.assertEqual(header.impulse_signal_polarity, 0)
self.assertEqual(header.vibratory_polarity_code, 0)
self.assertEqual(
header.number_of_3200_byte_ext_file_header_records_following,
0)
def test_readAndWriteSEGY(self, headonly=False):
"""
Reading and writing again should not change a file.
"""
for file, attribs in self.files.items():
file = os.path.join(self.path, file)
non_normalized_samples = attribs['non_normalized_samples']
# Read the file.
with open(file, 'rb') as f:
org_data = f.read()
segy_file = readSEGY(file, headonly=headonly)
with NamedTemporaryFile() as tf:
out_file = tf.name
segy_file.write(out_file)
# Read the new file again.
with open(out_file, 'rb') as f:
new_data = f.read()
# The two files should have the same length.
self.assertEqual(len(org_data), len(new_data))
# Replace the not normalized samples. The not normalized
# samples are already tested in test_packSEGYData and therefore not
# tested again here.
if len(non_normalized_samples) != 0:
# Convert to 4 byte integers. Any 4 byte numbers work.
org_data = np.fromstring(org_data, np.int32)
new_data = np.fromstring(new_data, np.int32)
# Skip the header (4*960 bytes) and replace the non normalized
# data samples.
org_data[960:][non_normalized_samples] = \
new_data[960:][non_normalized_samples]
# Create strings again.
org_data = org_data.tostring()
new_data = new_data.tostring()
# Always write the SEGY File revision number!
# org_data[3500:3502] = new_data[3500:3502]
# Test the identity without the SEGY revision number
self.assertEqual(org_data[:3500], new_data[:3500])
self.assertEqual(org_data[3502:], new_data[3502:])
def test_unpackTraceHeader(self):
"""
Compares some values of the first trace header with values read with
SeisView 2 by the DMNG.
"""
file = os.path.join(self.path, '1.sgy_first_trace')
segy = readSEGY(file)
header = segy.traces[0].header
# Compare the values.
self.assertEqual(header.trace_sequence_number_within_line, 0)
self.assertEqual(header.trace_sequence_number_within_segy_file, 0)
self.assertEqual(header.original_field_record_number, 1)
self.assertEqual(header.trace_number_within_the_original_field_record,
1)
self.assertEqual(header.energy_source_point_number, 0)
self.assertEqual(header.ensemble_number, 0)
self.assertEqual(header.trace_number_within_the_ensemble, 0)
self.assertEqual(header.trace_identification_code, 1)
self.assertEqual(
header.number_of_vertically_summed_traces_yielding_this_trace,
5)
self.assertEqual(
header.number_of_horizontally_stacked_traces_yielding_this_trace,
0)
self.assertEqual(header.data_use, 0)
self.assertEqual(getattr(
header, 'distance_from_center_of_the_' +
'source_point_to_the_center_of_the_receiver_group'), 0)
self.assertEqual(header.receiver_group_elevation, 0)
self.assertEqual(header.surface_elevation_at_source, 0)
self.assertEqual(header.source_depth_below_surface, 0)
self.assertEqual(header.datum_elevation_at_receiver_group, 0)
self.assertEqual(header.datum_elevation_at_source, 0)
self.assertEqual(header.water_depth_at_source, 0)
self.assertEqual(header.water_depth_at_group, 0)
self.assertEqual(
header.scalar_to_be_applied_to_all_elevations_and_depths, -100)
self.assertEqual(header.scalar_to_be_applied_to_all_coordinates, -100)
self.assertEqual(header.source_coordinate_x, 0)
self.assertEqual(header.source_coordinate_y, 0)
self.assertEqual(header.group_coordinate_x, 300)
self.assertEqual(header.group_coordinate_y, 0)
self.assertEqual(header.coordinate_units, 0)
self.assertEqual(header.weathering_velocity, 0)
self.assertEqual(header.subweathering_velocity, 0)
self.assertEqual(header.uphole_time_at_source_in_ms, 0)
self.assertEqual(header.uphole_time_at_group_in_ms, 0)
self.assertEqual(header.source_static_correction_in_ms, 0)
self.assertEqual(header.group_static_correction_in_ms, 0)
self.assertEqual(header.total_static_applied_in_ms, 0)
self.assertEqual(header.lag_time_A, 0)
self.assertEqual(header.lag_time_B, 0)
self.assertEqual(header.delay_recording_time, -100)
self.assertEqual(header.mute_time_start_time_in_ms, 0)
self.assertEqual(header.mute_time_end_time_in_ms, 0)
self.assertEqual(header.number_of_samples_in_this_trace, 8000)
self.assertEqual(header.sample_interval_in_ms_for_this_trace, 250)
self.assertEqual(header.gain_type_of_field_instruments, 0)
self.assertEqual(header.instrument_gain_constant, 24)
self.assertEqual(header.instrument_early_or_initial_gain, 0)
self.assertEqual(header.correlated, 0)
self.assertEqual(header.sweep_frequency_at_start, 0)
self.assertEqual(header.sweep_frequency_at_end, 0)
self.assertEqual(header.sweep_length_in_ms, 0)
self.assertEqual(header.sweep_type, 0)
self.assertEqual(header.sweep_trace_taper_length_at_start_in_ms, 0)
self.assertEqual(header.sweep_trace_taper_length_at_end_in_ms, 0)
self.assertEqual(header.taper_type, 0)
self.assertEqual(header.alias_filter_frequency, 1666)
self.assertEqual(header.alias_filter_slope, 0)
self.assertEqual(header.notch_filter_frequency, 0)
self.assertEqual(header.notch_filter_slope, 0)
self.assertEqual(header.low_cut_frequency, 0)
self.assertEqual(header.high_cut_frequency, 0)
self.assertEqual(header.low_cut_slope, 0)
self.assertEqual(header.high_cut_slope, 0)
self.assertEqual(header.year_data_recorded, 2005)
self.assertEqual(header.day_of_year, 353)
self.assertEqual(header.hour_of_day, 15)
self.assertEqual(header.minute_of_hour, 7)
self.assertEqual(header.second_of_minute, 54)
self.assertEqual(header.time_basis_code, 0)
self.assertEqual(header.trace_weighting_factor, 0)
self.assertEqual(
header.geophone_group_number_of_roll_switch_position_one, 2)
self.assertEqual(header.geophone_group_number_of_trace_number_one, 2)
self.assertEqual(header.geophone_group_number_of_last_trace, 0)
self.assertEqual(header.gap_size, 0)
self.assertEqual(header.over_travel_associated_with_taper, 0)
self.assertEqual(
header.x_coordinate_of_ensemble_position_of_this_trace, 0)
self.assertEqual(
header.y_coordinate_of_ensemble_position_of_this_trace, 0)
self.assertEqual(
header.for_3d_poststack_data_this_field_is_for_in_line_number, 0)
self.assertEqual(
header.for_3d_poststack_data_this_field_is_for_cross_line_number,
0)
self.assertEqual(header.shotpoint_number, 0)
self.assertEqual(
header.scalar_to_be_applied_to_the_shotpoint_number, 0)
self.assertEqual(header.trace_value_measurement_unit, 0)
self.assertEqual(header.transduction_constant_mantissa, 0)
self.assertEqual(header.transduction_constant_exponent, 0)
self.assertEqual(header.transduction_units, 0)
self.assertEqual(header.device_trace_identifier, 0)
self.assertEqual(header.scalar_to_be_applied_to_times, 0)
self.assertEqual(header.source_type_orientation, 0)
self.assertEqual(header.source_energy_direction_mantissa, 0)
self.assertEqual(header.source_energy_direction_exponent, 0)
self.assertEqual(header.source_measurement_mantissa, 0)
self.assertEqual(header.source_measurement_exponent, 0)
self.assertEqual(header.source_measurement_unit, 0)
Uses ObsPy package for SEGY file reading
You can find instructions for installing Obspy at http://obspy.org/
"""
from fatiando.vis import mpl
from obspy.segy import segy
import urllib
import numpy as np
# fetch sample SEGY data, near-offset marmousi data
url = "http://dl.dropboxusercontent.com/" \
"s/i287ci4ww3w7gdt/marmousi_nearoffset.segy"
urllib.urlretrieve(url, 'marmousi_nearoffset.segy')
# We'll use the ObsPy library to load the SEGY data"
segyfile = segy.readSEGY('marmousi_nearoffset.segy')
# turn ObsPy Stream in a matrix of traces
# first dimension time, second dimension traces
ntraces = len(segyfile.traces)
nsamples = len(segyfile.traces[0].data)
mtraces = np.zeros((nsamples, ntraces))
i = 0
for tr in segyfile.traces:
mtraces[:, i] = tr.data[:]
i += 1
# make plots
mpl.figure()
mpl.subplot(2, 1, 1)
mpl.ylabel('time (seconds)')
mpl.title("Seismic wiggle plot", fontsize=13, family='sans-serif',
weight='bold')
def main(target, cfg):
"""
Puts everything together.
"""
t0 = time.time()
# Read the file.
section = readSEGY(target, unpack_headers=True)
# Calculate some things.
# NB Getting nsamples and dt from the first trace assumes that all
# traces are the same length, which is not a safe assumption in SEGY v2.
ninlines = section.traces[-1].header.trace_sequence_number_within_line
last_tr = section.traces[-1].header.trace_sequence_number_within_segy_file
nxlines = last_tr / ninlines
nsamples = section.traces[0].header.number_of_samples_in_this_trace
dt = section.traces[0].header.sample_interval_in_ms_for_this_trace
ntraces = len(section.traces)
tbase = 0.001 * np.arange(0, nsamples * dt, dt)
tstart = 0
tend = np.amax(tbase)
# Make the data array.
data = np.vstack([t.data for t in section.traces]).T
threed = False
if nxlines > 1: # Then it's a 3D and `data` is an ensemble.
threed = True
cube = np.reshape(data.T, (ninlines, nxlines, nsamples))
l = cfg['number']
if cfg['direction'].lower()[0] == 'i':
direction = 'inline'
ntraces = nxlines
l *= ninlines if (l < 1) else 1
data = cube[l, :, :].T
else:
direction = 'xline'
ntraces = ninlines
l *= nxlines if (l < 1) else 1
data = cube[:, l, :].T
# Collect some other data. Use a for loop because there are several.
elev, esp, ens, tsq = [], [], [], []
for i, trace in enumerate(section.traces):
elev.append(trace.header.receiver_group_elevation)
esp.append(trace.header.energy_source_point_number)
tsq.append(trace.header.trace_sequence_number_within_line)
if threed:
trs = []
if direction == 'inline':
cdp_label_text = 'Crossline number'
trace_label_text = 'Trace number'
ens.append(trace.header.for_3d_poststack_data_this_field_is_for_cross_line_number)
trs.append(trace.header.for_3d_poststack_data_this_field_is_for_in_line_number)
else:
cdp_label_text = 'Inline number'
trace_label_text = 'Trace number'
ens.append(trace.header.for_3d_poststack_data_this_field_is_for_in_line_number)
trs.append(trace.header.for_3d_poststack_data_this_field_is_for_cross_line_number)
line_no = min(trs)
else:
cdp_label_text = 'CDP number'
trace_label_text = 'Trace number'
ens.append(trace.header.ensemble_number)
min_tr, max_tr = 0, ntraces
traces = (min_tr, max_tr)
clip_val = np.percentile(data, cfg['percentile'])
# Notify user of parameters
Notice.info("n_traces {}".format(ntraces))
Notice.info("n_samples {}".format(nsamples))
Notice.info("dt {}".format(dt))
Notice.info("t_start {}".format(tstart))
Notice.info("t_end {}".format(tend))
Notice.info("max_val {}".format(np.amax(data)))
Notice.info("min_val {}".format(np.amin(data)))
Notice.info("clip_val {}".format(clip_val))
t1 = time.time()
Notice.ok("Read data in {:.1f} s".format(t1-t0))
#####################################################################
#
# MAKE PLOT
#
#####################################################################
Notice.hr_header("Plotting")
##################################
# Plot size parameters
# Some constants
fs = cfg['fontsize']
wsl = 6 # Width of sidelabel, inches
mih = 12 # Minimum plot height, inches
fhh = 5 # File header box height, inches
m = 0.5 # basic unit of margins, inches
# Margins, CSS like: top, right, bottom, left.
mt, mr, mb, ml = m, 2 * m, m, 2 * m
mm = m # padded margin between seismic and label
# Width is determined by seismic width, plus sidelabel, plus margins.
seismic_width = ntraces / cfg['tpi']
w = ml + seismic_width + mm + wsl + mr # inches
# Height is given by ips, but with a minimum of mih inches
seismic_height = cfg['ips'] * (tbase[-1] - tbase[0]) / 1000
h_reqd = mb + seismic_height + mt # inches
h = max(mih, h_reqd)
# Calculate where to start sidelabel and seismic data.
# Depends on whether sidelabel is on the left or right.
if cfg['sidelabel'] == 'right':
ssl = (ml + seismic_width + mm) / w # Start of side label (ratio)
seismic_left = ml / w
else:
ssl = ml / w
seismic_left = (ml + wsl + mm) / w
adj = max(0, h - h_reqd) / 2
seismic_bottom = (mb / h) + adj / h
seismic_width_fraction = seismic_width / w
seismic_height_fraction = seismic_height / h
# Publish some notices so user knows plot size.
Notice.info("Width of plot {} in".format(w))
Notice.info("Height of plot {} in".format(h))
##################################
# Make the figure.
fig = plt.figure(figsize=(w, h), facecolor='w')
# Add the main seismic axis.
ax = fig.add_axes([seismic_left,
seismic_bottom,
seismic_width_fraction,
seismic_height_fraction
])
# make parasitic axes for labeling CDP number
par1 = ax.twiny()
par1.spines["top"].set_position(("axes", 1.0))
tickfmt = mtick.FormatStrFormatter('%.0f')
par1.plot(ens, np.zeros_like(ens))
par1.set_xlabel(cdp_label_text, fontsize=fs-2)
par1.set_xticklabels(par1.get_xticks(), fontsize=fs-2)
par1.xaxis.set_major_formatter(tickfmt)
# Plot title
title_ax = fig.add_axes([ssl, 1-mt/h, wsl/w, mt/(h)])
title_ax = plotter.plot_title(title_ax, target, fs=1.5*fs, cfg=cfg)
if threed:
title_ax.text(0.0, 0.0, '{} {}'.format(direction.title(), line_no))
# Plot text header.
s = section.textual_file_header.decode()
start = (h - 1.5*mt - fhh) / h
head_ax = fig.add_axes([ssl, start, wsl/w, fhh/h])
head_ax = plotter.plot_header(head_ax, s, fs=fs-1, cfg=cfg)
# Plot histogram.
# Params for histogram plot
pady = 0.75 / h # 0.75 inch
padx = 0.75 / w # 0.75 inch
cstrip = 0.3/h # color_strip height = 0.3 in
charth = 1.5/h # height of charts = 1.5 in
chartw = wsl/w - mr/w - padx # or ml/w for left-hand sidelabel; same thing
chartx = (ssl + padx)
histy = 1.5 * mb/h + charth + pady
# Plot colourbar under histogram
clrbar_ax = fig.add_axes([chartx, histy - cstrip, chartw, cstrip])
clrbar_ax = plotter.plot_colourbar(clrbar_ax, cmap=cfg['cmap'])
# Plot histogram itself
hist_ax = fig.add_axes([chartx, histy, chartw, charth])
hist_ax = plotter.plot_histogram(hist_ax,
data,
tickfmt,
percentile=cfg['percentile'],
fs=fs)
# Plot spectrum.
specy = 1.5 * mb/h
spec_ax = fig.add_axes([chartx, specy, chartw, charth])
try:
spec_ax = plotter.plot_spectrum(spec_ax,
data,
dt,
tickfmt,
ntraces=20,
fontsize=fs)
except:
pass
# Plot seismic data.
if cfg['display'].lower() in ['vd', 'varden', 'variable']:
_ = ax.imshow(data,
cmap=cfg['cmap'],
clim=[-clip_val, clip_val],
extent=[0, ntraces, tbase[-1], tbase[0]],
aspect='auto'
)
elif cfg['display'].lower() == 'wiggle':
ax = plotter.wiggle_plot(ax,
data,
tbase,
ntraces,
skip=cfg['skip'],
gain=cfg['gain'],
rgb=cfg['colour'],
alpha=cfg['opacity'],
lw=cfg['lineweight']
)
ax.set_ylim(ax.get_ylim()[::-1])
elif cfg['display'].lower() == 'both':
# variable density goes on first
_ = ax.imshow(data,
cmap=cfg['cmap'],
clim=[-clip_val, clip_val],
extent=[0, ntraces, tbase[-1], tbase[0]],
aspect='auto'
)
# wiggle plots go on top
ax = plotter.wiggle_plot(ax,
data,
tbase,
ntraces,
skip=cfg['skip'],
gain=cfg['gain'],
rgb=cfg['colour'],
alpha=cfg['opacity'],
lw=cfg['lineweight']
)
# ax.set_ylim(ax.get_ylim()[::-1])
else:
Notice.fail("You need to specify the type of display: wiggle or vd")
# Seismic axis annotations.
ax = plotter.decorate_seismic(ax, traces, trace_label_text, tickfmt, cfg)
# Watermark.
if cfg['watermark_text']:
Notice.info("Adding watermark")
ax = plotter.watermark_seismic(ax, cfg)
t2 = time.time()
Notice.ok("Built plot in {:.1f} s".format(t2-t1))
#####################################################################
#
# SAVE FILE
#
#####################################################################
Notice.hr_header("Saving")
if cfg['stain_paper'] or cfg['coffee_rings'] or cfg['distort'] or cfg['scribble']:
stupid = True
else:
stupid = False
s = "Saved image file {} in {:.1f} s"
if cfg['outfile']:
if os.path.isfile(cfg['outfile']):
outfile = cfg['outfile']
else: # is directory
stem, ext = os.path.splitext(os.path.split(target)[1])
outfile = os.path.join(cfg['outfile'], stem + '.png')
stem, _ = os.path.splitext(outfile) # Needed for stupidity.
fig.savefig(outfile)
t3 = time.time()
Notice.ok(s.format(outfile, t3-t2))
else: # Do the default: save a PNG in the same dir as the target.
stem, _ = os.path.splitext(target)
fig.savefig(stem)
t3 = time.time()
Notice.ok(s.format(stem+'.png', t3-t2))
if stupid:
fig.savefig(stem + ".stupid.png")
else:
return
#####################################################################
#
# SAVE STUPID FILE
#
#####################################################################
Notice.hr_header("Applying the stupidity")
stupid_image = Image.open(stem + ".stupid.png")
if cfg['stain_paper']:
utils.stain_paper(stupid_image)
utils.add_rings(stupid_image, cfg['coffee_rings'])
if cfg['scribble']:
utils.add_scribble(stupid_image)
stupid_image.save(stem + ".stupid.png")
s = "Saved stupid file stupid.png in {:.1f} s"
t4 = time.time()
Notice.ok(s.format(t4-t3))
return
def main(target, cfg):
"""
Puts everything together.
"""
t0 = time.time()
# Read the file.
section = readSEGY(target, unpack_headers=True)
# Calculate some things
nsamples = section.traces[0].header.number_of_samples_in_this_trace
dt = section.traces[0].header.sample_interval_in_ms_for_this_trace
ntraces = len(section.traces)
tbase = 0.001 * np.arange(0, nsamples * dt, dt)
tstart = 0
tend = np.amax(tbase)
wsd = ntraces / cfg['tpi']
# Build the data container
elev, esp, ens, tsq = [], [], [], [] # energy source point number
data = np.zeros((nsamples, ntraces))
for i, trace in enumerate(section.traces):
data[:, i] = trace.data
elev.append(trace.header.receiver_group_elevation)
esp.append(trace.header.energy_source_point_number)
ens.append(trace.header.ensemble_number)
tsq.append(trace.header.trace_sequence_number_within_line)
clip_val = np.percentile(data, 99.0)
# Notify user of parameters
Notice.info("n_traces {}".format(ntraces))
Notice.info("n_samples {}".format(nsamples))
Notice.info("dt {}".format(dt))
Notice.info("t_start {}".format(tstart))
Notice.info("t_end {}".format(tend))
Notice.info("max_val {}".format(np.amax(data)))
Notice.info("min_val {}".format(np.amin(data)))
Notice.info("clip_val {}".format(clip_val))
t1 = time.time()
Notice.ok("Read data successfully in {:.1f} s".format(t1-t0))
#####################################################################
#
# MAKE PLOT
#
#####################################################################
Notice.hr_header("Plotting")
##################################
# Plot size parameters
# Some constants
wsl = 6 # Width of sidelabel
mih = 10 # Minimum plot height
fhh = 5 # File header height
m = 0.5 # margin in inches
# Margins, CSS like
mt, mb, ml, mr = m, m, 2 * m, 2 * m
mm = mr / 2 # padded margin between seismic and label
# Width is determined by tpi, plus a constant for the sidelabel, plus 1 in
w = ml + wsd + wsl + mr + mm
# Height is given by ips, but with a minimum of 8 inches, plus 1 in
h = max(mih, cfg['ips'] * (np.amax(tbase) - np.amin(tbase)) / 1000 + mt + mb)
# More settings
ssl = (ml + wsd + mm) / w # Start of side label (ratio)
fs = cfg['fontsize']
Notice.info("Width of plot {} in".format(w))
Notice.info("Height of plot {} in".format(h))
##################################
# Make the figure.
fig = plt.figure(figsize=(w, h), facecolor='w')
ax = fig.add_axes([ml / w, mb / h, wsd / w, (h - mb - mt) / h])
# make parasitic axes for labeling CDP number
par1 = ax.twiny()
par1.spines["top"].set_position(("axes", 1.0))
tickfmt = mtick.FormatStrFormatter('%.0f')
par1.plot(ens, np.zeros_like(ens))
par1.set_xlabel("CDP number", fontsize=fs-2)
par1.set_xticklabels(par1.get_xticks(), fontsize=fs-2)
par1.xaxis.set_major_formatter(tickfmt)
ax = wiggle_plot(ax,
data,
tbase,
ntraces,
skip=cfg['skip'],
gain=cfg['gain'],
rgb=cfg['colour'],
alpha=cfg['opacity'],
lw=cfg['lineweight']
)
ax = decorate_seismic(ax, ntraces, tickfmt, fs)
# Plot title
title_ax = fig.add_axes([ssl, 1-mt/h, wsl/w, mt/(2*h)])
title_ax = plot_title(title_ax, target, fs=fs)
# Plot text header.
s = str(section.textual_file_header)[2:-1]
start = (h - mt - fhh) / h
head_ax = fig.add_axes([ssl, start, wsl/w, fhh/h])
head_ax = plot_header(head_ax, s, fs)
# Plot histogram.
pad = 0.05
charty = 0.125 # height of chart
xhist = (ssl + pad)
whist = (1 - ssl - (ml/w)) - 2 * pad
hist_ax = fig.add_axes([xhist, 1.5 * mb/h + charty + pad, whist, charty])
hist_ax = plot_histogram(hist_ax, data, fs)
# Plot spectrum.
spec_ax = fig.add_axes([xhist, 1.5 * mb/h, whist, charty])
spec_ax = plot_spectrum(spec_ax, data, dt, fs)
t2 = time.time()
Notice.ok("Built plot in {:.1f} s".format(t2-t1))
#####################################################################
#
# SAVE FILE
#
#####################################################################
Notice.hr_header("Saving")
s = "Saved image file {} in {:.1f} s"
if cfg['outfile']:
fig.savefig(cfg['outfile'])
t3 = time.time()
Notice.ok(s.format(cfg['outfile'], t3-t2))
else:
stem, _ = os.path.splitext(target)
fig.savefig(stem)
t3 = time.time()
Notice.ok(s.format(stem+'.png', t3-t2))
return
# !/Users/Uqer/anaconda/bin/python #Test codes import numpy as np from numpy import sqrt, square from psmodules.pspicker import merpicker from psmodules.pspdf import pdftp from obspy.segy.segy import readSEGY from psmodules.psarray import dharray geonum = 12 gx, gy, gz = dharray(geonum, 0, 0, 3000, 25) filename = '/Users/Uqer/Dropbox/SEGY/dr01.sgy' st = readSEGY(filename) tr = st.traces[0].data # pick = merpicker(tr, 512, 0.25, 20, 600, "true" ) x1 = 500 x2 = 1000 z1 = 1000 z2 = 3000 vel = 3000 ns = 512 srate = 0.25 win = 20 threshold = 600 N = 12 to = 0
