def taco(s):
return gmt_color(tango_colors[s])
def taco(s):
return gmt_color(tango_colors[s])
def taco(s):
return gmt_color(tango_colors[s])
symbol_best_result = '-Sa20p -G%s -W1p/%s' % (taco('scarletred1'), taco('scarletred3'))
#
# Plot configurations using autoplot
#
zebra = [ b or c for c in graph_colors for b in None, (0,0,0) ]
seismogram_plot_config = dict(
fit = True,
width = 4,
yspacing = 0.1,
symbols_SGW = ['-W1.5p/%s' % gmt_color(c) for c in zebra ],
yannotevery = 0,
yfunit = 'off',
ylabelofs = 0.15,
xlabel = 'Time',
xunit = 's',
xautoscale = 'min-max',
)
spectrum_plot_config = dict(
fit = True,
width = 4,
yspacing = 0.1,
symbols_SGW = ['-W1.5p/%s' % gmt_color(c) for c in zebra ],
yannotevery = 0,
yfunit = 'off',
return gmt_color(tango_colors[s])
symbol_best_result = '-Sa20p -G%s -W1p/%s' % (taco('scarletred1'),
taco('scarletred3'))
#
# Plot configurations using autoplot
#
zebra = [b or c for c in graph_colors for b in None, (0, 0, 0)]
seismogram_plot_config = dict(
fit=True,
width=4,
yspacing=0.1,
symbols_SGW=['-W1.5p/%s' % gmt_color(c) for c in zebra],
yannotevery=0,
yfunit='off',
ylabelofs=0.15,
xlabel='Time',
xunit='s',
xautoscale='min-max',
)
spectrum_plot_config = dict(
fit=True,
width=4,
yspacing=0.1,
symbols_SGW=['-W1.5p/%s' % gmt_color(c) for c in zebra],
yannotevery=0,
yfunit='off',
