def save(self, outpath, resolution=75., oversample=2., size=None,
width=None, height=None):
gmt = self.gmt
self.draw_labels()
self.draw_axes()
self.draw_cities()
size_factor = 9.
if self.show_topo and self.show_topo_scale:
self._draw_topo_scale()
if self.stations:
lats = [s.lat for s in self.stations]
lons = [s.lon for s in self.stations]
self.gmt.psxy(
in_columns=(lons, lats),
S='t10p',
G='black',
*self.jxyr)
for i_station, s in enumerate(self.stations):
if self.station_label_mapping:
label = self.station_label_mapping[i_station]
else:
label = "%s"%s.station
self.add_label(s.lat, s.lon, label)
if self.event:
e = self.event
if e.moment_tensor:
if e.magnitude == None:
e.magnitude = e.moment_tensor.magnitude
size_cm = math.sqrt(math.sqrt(mag2mom(e.magnitude) / 100e17)) * size_factor
m = e.moment_tensor
m6 = m.m6_up_south_east()
data = (e.lon, e.lat, 10, m.strike1, m.dip1, m.rake1, 1, 0, 0, 'M %1.1f' % e.magnitude)
if True:
self.gmt.psmeca(
S='%s%g' % ('a', size_cm*2.0),
G='red',
#W='thinnest,%i/%i/%i' % darken(gmtpy.color_tup(colors[e.cluster])),
#L='thinnest,%i/%i/%i' % darken(gmtpy.color_tup(colors[e.cluster])),
in_rows=[data],
*self.jxyr)
gmt = self._gmt
if outpath.endswith('.eps'):
tmppath = gmt.tempfilename() + '.eps'
elif outpath.endswith('.ps'):
tmppath = gmt.tempfilename() + '.ps'
else:
tmppath = gmt.tempfilename() + '.pdf'
gmt.save(tmppath)
if any(outpath.endswith(x) for x in ('.eps', '.ps', '.pdf')):
shutil.copy(tmppath, outpath)
else:
convert_graph(tmppath, outpath,
resolution=resolution, oversample=oversample,
size=size, width=width, height=height)
def save(
self,
outpath,
resolution=75.0,
oversample=2.0,
size=None,
width=None,
height=None,
):
self.draw_labels()
self.draw_axes()
self.draw_cities()
size_factor = 9.0
if self.show_topo and self.show_topo_scale:
self._draw_topo_scale()
if self.stations:
lats = [s.lat for s in self.stations]
lons = [s.lon for s in self.stations]
self.gmt.psxy(in_columns=(lons, lats), S="t10p", G="black", *self.jxyr)
for i_station, s in enumerate(self.stations):
label = self.station_label_mapping.get(i_station, str(s.station))
self.add_label(s.lat, s.lon, label)
if self.event:
e = self.event
if e.moment_tensor:
if e.magnitude is None:
e.magnitude = e.moment_tensor.magnitude
size_cm = (
math.sqrt(math.sqrt(mag2mom(e.magnitude) / 100e17)) * size_factor
)
m = e.moment_tensor
data = (
e.lon,
e.lat,
10,
m.strike1,
m.dip1,
m.rake1,
1,
0,
0,
"M %1.1f" % e.magnitude,
)
if True:
self.gmt.psmeca(
S="%s%g" % ("a", size_cm * 2.0),
G="red",
# W='thinnest,%i/%i/%i' % darken(gmtpy.color_tup(colors[e.cluster])),
# L='thinnest,%i/%i/%i' % darken(gmtpy.color_tup(colors[e.cluster])),
in_rows=[data],
*self.jxyr
)
gmt = self._gmt
if outpath.endswith(".eps"):
tmppath = gmt.tempfilename() + ".eps"
elif outpath.endswith(".ps"):
tmppath = gmt.tempfilename() + ".ps"
else:
tmppath = gmt.tempfilename() + ".pdf"
gmt.save(tmppath)
if any(outpath.endswith(x) for x in (".eps", ".ps", ".pdf")):
shutil.copy(tmppath, outpath)
else:
convert_graph(
tmppath,
outpath,
resolution=resolution,
oversample=oversample,
size=size,
width=width,
height=height,
)
def make_map(lat=None,
lon=None,
radius=None,
outfn=None,
stations=None,
events=None,
stations_label_mapping=None,
map_parameters=None,
show_topo=True):
if map_parameters:
lat = map_parameters.lat
lon = map_parameters.lon
radius = map_parameters.radius
outfn = map_parameters.outfn
stations = map_parameters.stations
station_label_mapping = map_parameters.station_label_mapping
events = map_parameters.events
station_colors = map_parameters.station_colors
show_topo = map_parameters.show_topo
color_wet = map_parameters.color_wet
color_dry = map_parameters.color_dry
show_grid = map_parameters.show_grid
height = map_parameters.height
width = map_parameters.width
_map = JMap(width=width,
height=height,
lat=lat,
lon=lon,
radius=radius,
topo_resolution_max=200,
topo_resolution_min=40.,
show_topo=show_topo,
show_grid=show_grid,
illuminate=True,
illuminate_factor_land=0.5,
illuminate_factor_ocean=0.25,
color_wet=color_wet,
color_dry=color_dry)
#_map.draw_cities()
if stations:
for i_station, s in enumerate(stations):
lats = [s.lat]
lons = [s.lon]
if station_colors:
color = "%s" % station_colors[s.nsl()]
else:
color = "black"
_map.gmt.psxy(in_columns=(lons, lats),
S='t20p',
G=color,
*_map.jxyr)
if station_label_mapping:
label = station_label_mapping[i_station]
else:
label = "%s" % s.station
_map.add_label(s.lat, s.lon, label)
if events:
shifts = [(-0.6, -0.6), (-0.6, 0.)]
for i_e, e in enumerate(events):
if e.moment_tensor:
_map.gmt.psxy(in_columns=([e.lon], [e.lat]),
S='a25p',
G='red',
*_map.jxyr)
break
size_cm = math.sqrt(
math.sqrt(mag2mom(e.moment_tensor.magnitude) /
10e7)) * size_factor
m = e.moment_tensor
#mc = uniso(m)
#mc = mc / e.moment_tensor.scalar_moment() * mag2mom(5.0)
#m6 = to6(c)
m6 = m.m6_up_south_east()
#data = (e.lon), (e.lat) + (10,) + m6 + (1, 0, 0)
#data = lonlat_to_en1_km(e.lon, e.lat) + (10,) + m6 + (1, 0, 0)
#data = [e.lon, e.lat, 5, m6, 1,0,0]
eshift, nshift = shifts[i_e]
#data = (e.lon, e.lat, 10, m.strike1, m.dip1, m.rake1, 1, e.lon+eshift, e.lat+nshift, 'Test site')
data = (e.lon, e.lat, 10, 1, 1, 1, 0, 0, 0, 1, e.lon, e.lat,
'Test site')
if True:
_map.gmt.psmeca(
S='%s%g' % ('m', size_cm * 2.0),
#G=gmtpy.color(colors[e.cluster]),
#G=colors[i_e],
G='red',
C='3p,0/0/0',
#W='thinnest,%i/%i/%i' % (255, 255, 255),
#L='thinnest,%i/%i/%i' % (255, 255, 255),
in_rows=[data],
*_map.jxyr)
_map.save(outpath=outfn)
def make_map(lat=None, lon=None, radius=None, outfn=None, stations=None, events=None, stations_label_mapping=None, map_parameters=None, show_topo=True):
if map_parameters:
lat=map_parameters.lat
lon=map_parameters.lon
radius=map_parameters.radius
outfn = map_parameters.outfn
stations = map_parameters.stations
station_label_mapping = map_parameters.station_label_mapping
events = map_parameters.events
station_colors = map_parameters.station_colors
show_topo = map_parameters.show_topo
color_wet = map_parameters.color_wet
color_dry = map_parameters.color_dry
show_grid = map_parameters.show_grid
height = map_parameters.height
width = map_parameters.width
_map = JMap(width=width, height=height, lat=lat, lon=lon,
radius=radius,
topo_resolution_max=200,
topo_resolution_min=40.,
show_topo=show_topo,
show_grid=show_grid,
illuminate=True,
illuminate_factor_land=0.5,
illuminate_factor_ocean=0.25,
color_wet=color_wet,
color_dry=color_dry)
#_map.draw_cities()
if stations:
for i_station, s in enumerate(stations):
lats = [s.lat]
lons = [s.lon]
if station_colors:
color = "%s" % station_colors[s.nsl()]
else:
color = "black"
_map.gmt.psxy(
in_columns=(lons, lats),
S='t20p',
G=color,
*_map.jxyr)
if station_label_mapping:
label = station_label_mapping[i_station]
else:
label = "%s"%s.station
_map.add_label(s.lat, s.lon, label)
if events:
shifts = [(-0.6, -0.6), (-0.6, 0.)]
for i_e, e in enumerate(events):
if e.moment_tensor:
_map.gmt.psxy(
in_columns=([e.lon], [e.lat]),
S='a25p',
G='red',
*_map.jxyr)
break
size_cm = math.sqrt(math.sqrt(mag2mom(e.moment_tensor.magnitude) / 10e7)) * size_factor
m = e.moment_tensor
#mc = uniso(m)
#mc = mc / e.moment_tensor.scalar_moment() * mag2mom(5.0)
#m6 = to6(c)
m6 = m.m6_up_south_east()
#data = (e.lon), (e.lat) + (10,) + m6 + (1, 0, 0)
#data = lonlat_to_en1_km(e.lon, e.lat) + (10,) + m6 + (1, 0, 0)
#data = [e.lon, e.lat, 5, m6, 1,0,0]
eshift, nshift = shifts[i_e]
#data = (e.lon, e.lat, 10, m.strike1, m.dip1, m.rake1, 1, e.lon+eshift, e.lat+nshift, 'Test site')
data = (e.lon, e.lat, 10, 1,1,1,0,0,0, 1, e.lon, e.lat, 'Test site')
if True:
_map.gmt.psmeca(
S='%s%g' % ('m', size_cm*2.0),
#G=gmtpy.color(colors[e.cluster]),
#G=colors[i_e],
G='red',
C='3p,0/0/0',
#W='thinnest,%i/%i/%i' % (255, 255, 255),
#L='thinnest,%i/%i/%i' % (255, 255, 255),
in_rows=[data],
*_map.jxyr)
_map.save(outpath=outfn)
def save(self,
outpath,
resolution=75.,
oversample=2.,
size=None,
width=None,
height=None):
gmt = self.gmt
self.draw_labels()
self.draw_axes()
self.draw_cities()
size_factor = 9.
if self.show_topo and self.show_topo_scale:
self._draw_topo_scale()
if self.stations:
lats = [s.lat for s in self.stations]
lons = [s.lon for s in self.stations]
self.gmt.psxy(in_columns=(lons, lats),
S='t10p',
G='black',
*self.jxyr)
for i_station, s in enumerate(self.stations):
label = self.station_label_mapping.get(i_station,
str(s.station))
self.add_label(s.lat, s.lon, label)
if self.event:
e = self.event
if e.moment_tensor:
if e.magnitude == None:
e.magnitude = e.moment_tensor.magnitude
size_cm = math.sqrt(math.sqrt(
mag2mom(e.magnitude) / 100e17)) * size_factor
m = e.moment_tensor
m6 = m.m6_up_south_east()
data = (e.lon, e.lat, 10, m.strike1, m.dip1, m.rake1, 1, 0, 0,
'M %1.1f' % e.magnitude)
if True:
self.gmt.psmeca(
S='%s%g' % ('a', size_cm * 2.0),
G='red',
#W='thinnest,%i/%i/%i' % darken(gmtpy.color_tup(colors[e.cluster])),
#L='thinnest,%i/%i/%i' % darken(gmtpy.color_tup(colors[e.cluster])),
in_rows=[data],
*self.jxyr)
gmt = self._gmt
if outpath.endswith('.eps'):
tmppath = gmt.tempfilename() + '.eps'
elif outpath.endswith('.ps'):
tmppath = gmt.tempfilename() + '.ps'
else:
tmppath = gmt.tempfilename() + '.pdf'
gmt.save(tmppath)
if any(outpath.endswith(x) for x in ('.eps', '.ps', '.pdf')):
shutil.copy(tmppath, outpath)
else:
convert_graph(tmppath,
outpath,
resolution=resolution,
oversample=oversample,
size=size,
width=width,
height=height)