def main():
"""
NAME
basemap_magic.py
NB: this program no longer maintained - use plot_mapPTS.py for greater functionality
DESCRIPTION
makes a map of locations in er_sites.txt
SYNTAX
basemap_magic.py [command line options]
OPTIONS
-h prints help message and quits
-f SFILE, specify er_sites.txt or pmag_results.txt format file
-res [c,l,i,h] specify resolution (crude,low,intermediate,high)
-etp plot the etopo20 topographic mesh
-pad [LAT LON] pad bounding box by LAT/LON (default is [.5 .5] degrees)
-grd SPACE specify grid spacing
-prj [lcc] , specify projection (lcc=lambert conic conformable), default is mercator
-n print site names (default is not)
-l print location names (default is not)
-o color ocean blue/land green (default is not)
-R don't plot details of rivers
-B don't plot national/state boundaries, etc.
-sav save plot and quit quietly
-fmt [png,svg,eps,jpg,pdf] specify format for output, default is pdf
DEFAULTS
SFILE: 'er_sites.txt'
resolution: intermediate
saved images are in pdf
"""
dir_path='.'
sites_file='er_sites.txt'
ocean=0
res='i'
proj='merc'
prn_name=0
prn_loc=0
fancy=0
rivers,boundaries=0,0
padlon,padlat,gridspace,details=.5,.5,.5,1
fmt='pdf'
if '-h' in sys.argv:
print main.__doc__
sys.exit()
if '-f' in sys.argv:
ind = sys.argv.index('-f')
sites_file=sys.argv[ind+1]
if '-res' in sys.argv:
ind = sys.argv.index('-res')
res=sys.argv[ind+1]
if '-etp' in sys.argv:fancy=1
if '-n' in sys.argv:prn_name=1
if '-l' in sys.argv:prn_loc=1
if '-o' in sys.argv:ocean=1
if '-R' in sys.argv:rivers=0
if '-B' in sys.argv:boundaries=0
if '-prj' in sys.argv:
ind = sys.argv.index('-prj')
proj=sys.argv[ind+1]
if '-fmt' in sys.argv:
ind = sys.argv.index('-fmt')
fmt=sys.argv[ind+1]
verbose=pmagplotlib.verbose
if '-sav' in sys.argv:
verbose=0
if '-pad' in sys.argv:
ind = sys.argv.index('-pad')
padlat=float(sys.argv[ind+1])
padlon=float(sys.argv[ind+2])
if '-grd' in sys.argv:
ind = sys.argv.index('-grd')
gridspace=float(sys.argv[ind+1])
if '-WD' in sys.argv:
ind = sys.argv.index('-WD')
dir_path=sys.argv[ind+1]
sites_file=dir_path+'/'+sites_file
location=""
FIG={'map':1}
pmagplotlib.plot_init(FIG['map'],6,6)
# read in er_sites file
Sites,file_type=pmag.magic_read(sites_file)
if 'results' in file_type:
latkey='average_lat'
lonkey='average_lon'
namekey='pmag_result_name'
lockey='er_location_names'
else:
latkey='site_lat'
lonkey='site_lon'
namekey='er_site_name'
lockey='er_location_name'
lats,lons=[],[]
slats,slons=[],[]
names,locs=[],[]
for site in Sites:
if prn_loc==1 and location=="":location=site['er_location_name']
lats.append(float(site[latkey]))
l=float(site[lonkey])
if l<0:l=l+360. # make positive
lons.append(l)
if prn_name==1:names.append(site[namekey])
if prn_loc==1:locs.append(site[lockey])
for lat in lats:slats.append(lat)
for lon in lons:slons.append(lon)
Opts={'res':res,'proj':proj,'loc_name':locs,'padlon':padlon,'padlat':padlat,'latmin':numpy.min(slats)-padlat,'latmax':numpy.max(slats)+padlat,'lonmin':numpy.min(slons)-padlon,'lonmax':numpy.max(slons)+padlon,'sym':'ro','boundinglat':0.,'pltgrid':1.}
Opts['lon_0']=0.5*(numpy.min(slons)+numpy.max(slons))
Opts['lat_0']=0.5*(numpy.min(slats)+numpy.max(slats))
Opts['names']=names
Opts['gridspace']=gridspace
Opts['details']={'coasts':1,'rivers':1,'states':1,'countries':1,'ocean':0}
if ocean==1:Opts['details']['ocean']=1
if rivers==1: Opts['details']['rivers']=0
if boundaries==1:
Opts['details']['states']=0
Opts['details']['countries']=0
Opts['details']['fancy']=fancy
pmagplotlib.plotMAP(FIG['map'],lats,lons,Opts)
if verbose:pmagplotlib.drawFIGS(FIG)
files={}
for key in FIG.keys():
files[key]='Site_map'+'.'+fmt
if pmagplotlib.isServer:
black = '#000000'
purple = '#800080'
titles={}
titles['map']='Site Map'
FIG = pmagplotlib.addBorders(FIG,titles,black,purple)
pmagplotlib.saveP(FIG,files)
elif verbose:
ans=raw_input(" S[a]ve to save plot, Return to quit: ")
if ans=="a":
pmagplotlib.saveP(FIG,files)
else:
pmagplotlib.saveP(FIG,files)
def main():
"""
NAME
vgpmap_magic.py
DESCRIPTION
makes a map of vgps and a95/dp,dm for site means in a pmag_results table
SYNTAX
vgpmap_magic.py [command line options]
OPTIONS
-h prints help and quits
-eye ELAT ELON [specify eyeball location], default is 90., 0.
-f FILE pmag_results format file, [default is pmag_results.txt]
-res [c,l,i,h] specify resolution (crude, low, intermediate, high]
-etp plot the etopo20 topographpy data (requires high resolution data set)
-prj PROJ, specify one of the following:
ortho = orthographic
lcc = lambert conformal
moll = molweide
merc = mercator
-sym SYM SIZE: choose a symbol and size, examples:
ro 5 : small red circles
bs 10 : intermediate blue squares
g^ 20 : large green triangles
-ell plot dp/dm or a95 ellipses
-rev RSYM RSIZE : flip reverse poles to normal antipode
-S: plot antipodes of all poles
-age : plot the ages next to the poles
-crd [g,t] : choose coordinate system, default is to plot all site VGPs
-fmt [pdf, png, eps...] specify output format, default is pdf
-sav save and quit
DEFAULTS
FILE: pmag_results.txt
res: c
prj: ortho
ELAT,ELON = 0,0
SYM SIZE: ro 8
RSYM RSIZE: g^ 8
"""
dir_path = '.'
res, ages = 'c', 0
plot = 0
proj = 'ortho'
results_file = 'pmag_results.txt'
ell, flip = 0, 0
lat_0, lon_0 = 90., 0.
fmt = 'pdf'
sym, size = 'ro', 8
rsym, rsize = 'g^', 8
anti = 0
fancy = 0
coord = ""
if '-WD' in sys.argv:
ind = sys.argv.index('-WD')
dir_path = sys.argv[ind + 1]
if '-h' in sys.argv:
print main.__doc__
sys.exit()
if '-S' in sys.argv: anti = 1
if '-fmt' in sys.argv:
ind = sys.argv.index('-fmt')
fmt = sys.argv[ind + 1]
if '-sav' in sys.argv: plot = 1
if '-res' in sys.argv:
ind = sys.argv.index('-res')
res = sys.argv[ind + 1]
if '-etp' in sys.argv: fancy = 1
if '-prj' in sys.argv:
ind = sys.argv.index('-prj')
proj = sys.argv[ind + 1]
if '-rev' in sys.argv:
flip = 1
ind = sys.argv.index('-rev')
rsym = (sys.argv[ind + 1])
rsize = int(sys.argv[ind + 2])
if '-sym' in sys.argv:
ind = sys.argv.index('-sym')
sym = (sys.argv[ind + 1])
size = int(sys.argv[ind + 2])
if '-eye' in sys.argv:
ind = sys.argv.index('-eye')
lat_0 = float(sys.argv[ind + 1])
lon_0 = float(sys.argv[ind + 2])
if '-ell' in sys.argv: ell = 1
if '-age' in sys.argv: ages = 1
if '-f' in sys.argv:
ind = sys.argv.index('-f')
results_file = sys.argv[ind + 1]
if '-crd' in sys.argv:
ind = sys.argv.index('-crd')
crd = sys.argv[ind + 1]
if crd == 'g': coord = '0'
if crd == 't': coord = '100'
results_file = dir_path + '/' + results_file
data, file_type = pmag.magic_read(results_file)
if file_type != 'pmag_results':
print "bad results file"
sys.exit()
FIG = {'map': 1}
pmagplotlib.plot_init(FIG['map'], 6, 6)
# read in er_sites file
lats, lons, dp, dm, a95 = [], [], [], [], []
Pars = []
dates, rlats, rlons = [], [], []
if 'data_type' in data[0].keys():
Results = pmag.get_dictitem(data, 'data_type', 'i',
'T') # get all site level data
else:
Results = data
Results = pmag.get_dictitem(Results, 'vgp_lat', '',
'F') # get all non-blank latitudes
Results = pmag.get_dictitem(Results, 'vgp_lon', '',
'F') # get all non-blank longitudes
if coord != "":
Results = pmag.get_dictitem(Results, 'tilt_correction', coord,
'T') # get specified coordinate system
location = ""
for rec in Results:
if rec['er_location_names'] not in location:
location = location + ':' + rec['er_location_names']
if 'average_age' in rec.keys(
) and rec['average_age'] != "" and ages == 1:
dates.append(rec['average_age'])
lat = float(rec['vgp_lat'])
lon = float(rec['vgp_lon'])
if flip == 0:
lats.append(lat)
lons.append(lon)
elif flip == 1:
if lat < 0:
rlats.append(-lat)
lon = lon + 180.
if lon > 360: lon = lon - 360.
rlons.append(lon)
else:
lats.append(lat)
lons.append(lon)
elif anti == 1:
lats.append(-lat)
lon = lon + 180.
if lon > 360: lon = lon - 360.
lons.append(lon)
ppars = []
ppars.append(lon)
ppars.append(lat)
ell1, ell2 = "", ""
if 'vgp_dm' in rec.keys() and rec['vgp_dm'] != "":
ell1 = float(rec['vgp_dm'])
if 'vgp_dp' in rec.keys() and rec['vgp_dp'] != "":
ell2 = float(rec['vgp_dp'])
if 'vgp_alpha95' in rec.keys() and rec['vgp_alpha95'] != "":
ell1, ell2 = float(rec['vgp_alpha95']), float(rec['vgp_alpha95'])
if ell1 != "" and ell2 != "":
ppars = []
ppars.append(lons[-1])
ppars.append(lats[-1])
ppars.append(ell1)
ppars.append(lons[-1])
isign = abs(lats[-1]) / lats[-1]
ppars.append(lats[-1] - isign * 90.)
ppars.append(ell2)
ppars.append(lons[-1] + 90.)
ppars.append(0.)
Pars.append(ppars)
location = location.strip(':')
Opts = {
'latmin': -90,
'latmax': 90,
'lonmin': 0.,
'lonmax': 360.,
'lat_0': lat_0,
'lon_0': lon_0,
'proj': proj,
'sym': 'bs',
'symsize': 3,
'pltgrid': 0,
'res': res,
'boundinglat': 0.
}
Opts['details'] = {
'coasts': 1,
'rivers': 0,
'states': 0,
'countries': 0,
'ocean': 1,
'fancy': fancy
}
pmagplotlib.plotMAP(
FIG['map'], [90.], [0.],
Opts) # make the base map with a blue triangle at the pole`
Opts['pltgrid'] = -1
Opts['sym'] = sym
Opts['symsize'] = size
if len(dates) > 0: Opts['names'] = dates
if len(lats) > 0:
pmagplotlib.plotMAP(FIG['map'], lats, lons,
Opts) # add the lats and lons of the poles
Opts['names'] = []
if len(rlats) > 0:
Opts['sym'] = rsym
Opts['symsize'] = rsize
pmagplotlib.plotMAP(FIG['map'], rlats, rlons,
Opts) # add the lats and lons of the poles
if plot == 0:
pmagplotlib.drawFIGS(FIG)
if ell == 1: # add ellipses if desired.
Opts['details'] = {
'coasts': 0,
'rivers': 0,
'states': 0,
'countries': 0,
'ocean': 0
}
Opts['pltgrid'] = -1 # turn off meridian replotting
Opts['symsize'] = 2
Opts['sym'] = 'g-'
for ppars in Pars:
if ppars[2] != 0:
PTS = pmagplotlib.plotELL(FIG['map'], ppars, 'g.', 0, 0)
elats, elons = [], []
for pt in PTS:
elons.append(pt[0])
elats.append(pt[1])
pmagplotlib.plotMAP(
FIG['map'], elats, elons, Opts
) # make the base map with a blue triangle at the pole`
if plot == 0: pmagplotlib.drawFIGS(FIG)
files = {}
for key in FIG.keys():
files[key] = 'LO:_' + location + '_VGP_map.' + fmt
if pmagplotlib.isServer:
black = '#000000'
purple = '#800080'
titles = {}
titles['eq'] = 'LO:_' + location + '_VGP_map'
FIG = pmagplotlib.addBorders(FIG, titles, black, purple)
pmagplotlib.saveP(FIG, files)
elif plot == 0:
pmagplotlib.drawFIGS(FIG)
ans = raw_input(" S[a]ve to save plot, Return to quit: ")
if ans == "a":
pmagplotlib.saveP(FIG, files)
else:
print "Good bye"
sys.exit()
else:
pmagplotlib.saveP(FIG, files)
def main():
"""
NAME
plot_geomagia.py
DESCRIPTION
makes a map and VADM plot of geomagia download file
SYNTAX
plot_geomagia.py [command line options]
OPTIONS
-h prints help message and quits
-f FILE, specify geomagia download file
-res [c,l,i,h] specify resolution (crude,low,intermediate,high)
-etp plot the etopo20 topographic mesh
-pad [LAT LON] pad bounding box by LAT/LON (default is [.5 .5] degrees)
-grd SPACE specify grid spacing
-prj [lcc] , specify projection (lcc=lambert conic conformable), default is mercator
-o color ocean blue/land green (default is not)
-d plot details of rivers, boundaries, etc.
-sav save plot and quit quietly
-fmt [png,svg,eps,jpg,pdf] specify format for output, default is pdf
DEFAULTS
resolution: intermediate
saved images are in pdf
"""
dir_path='.'
names,res,proj,locs,padlon,padlat,fancy,gridspace,details=[],'l','lcc','',0,0,0,15,1
Age_bounds=[-5000,2000]
Lat_bounds=[20,45]
Lon_bounds=[15,55]
fmt='pdf'
if '-h' in sys.argv:
print main.__doc__
sys.exit()
if '-f' in sys.argv:
ind = sys.argv.index('-f')
sites_file=sys.argv[ind+1]
if '-res' in sys.argv:
ind = sys.argv.index('-res')
res=sys.argv[ind+1]
if '-etp' in sys.argv:fancy=1
if '-o' in sys.argv:ocean=1
if '-d' in sys.argv:details=1
if '-prj' in sys.argv:
ind = sys.argv.index('-prj')
proj=sys.argv[ind+1]
if '-fmt' in sys.argv:
ind = sys.argv.index('-fmt')
fmt=sys.argv[ind+1]
verbose=pmagplotlib.verbose
if '-sav' in sys.argv:
verbose=0
if '-pad' in sys.argv:
ind = sys.argv.index('-pad')
padlat=float(sys.argv[ind+1])
padlon=float(sys.argv[ind+2])
if '-grd' in sys.argv:
ind = sys.argv.index('-grd')
gridspace=float(sys.argv[ind+1])
if '-WD' in sys.argv:
ind = sys.argv.index('-WD')
dir_path=sys.argv[ind+1]
sites_file=dir_path+'/'+sites_file
geo_in=open(sites_file,'rU').readlines()
Age,AgeErr,Vadm,VadmErr,slats,slons=[],[],[],[],[],[]
for line in geo_in[2:]: # skip top two rows`
rec=line.split()
if float(rec[0])>Age_bounds[0] and float(rec[0])<Age_bounds[1] \
and float(rec[12])>Lat_bounds[0] and float(rec[12]) < Lat_bounds[1]\
and float(rec[13])>Lon_bounds[0] and float(rec[13])<Lon_bounds[1]:
Age.append(float(rec[0]))
AgeErr.append(float(rec[1]))
Vadm.append(10.*float(rec[6]))
VadmErr.append(10.*float(rec[7]))
slats.append(float(rec[12]))
slons.append(float(rec[13]))
FIGS={'map':1,'vadms':2}
pmagplotlib.plot_init(FIGS['map'],6,6)
pmagplotlib.plot_init(FIGS['vadms'],6,6)
Opts={'res':res,'proj':proj,'loc_name':locs,'padlon':padlon,'padlat':padlat,'latmin':numpy.min(slats)-padlat,'latmax':numpy.max(slats)+padlat,'lonmin':numpy.min(slons)-padlon,'lonmax':numpy.max(slons)+padlon,'sym':'ro','boundinglat':0.,'pltgrid':1}
Opts['lon_0']=int(0.5*(numpy.min(slons)+numpy.max(slons)))
Opts['lat_0']=int(0.5*(numpy.min(slats)+numpy.max(slats)))
Opts['gridspace']=gridspace
if details==1:
Opts['details']={'coasts':1,'rivers':0,'states':1,'countries':1,'ocean':1}
else:
Opts['details']={'coasts':1,'rivers':0,'states':0,'countries':0,'ocean':1}
Opts['details']['fancy']=fancy
pmagplotlib.plotMAP(FIGS['map'],slats,slons,Opts)
pmagplotlib.plotXY(FIGS['vadms'],Age,Vadm,sym='bo',xlab='Age (Years CE)',ylab=r'VADM (ZAm$^2$)')
if verbose:pmagplotlib.drawFIGS(FIGS)
files={}
for key in FIGS.keys():
files[key]=key+'.'+fmt
if pmagplotlib.isServer:
black = '#000000'
purple = '#800080'
titles={}
titles['map']='Map'
titles['vadms']='VADMs'
FIG = pmagplotlib.addBorders(FIGS,titles,black,purple)
pmagplotlib.saveP(FIGS,files)
elif verbose:
ans=raw_input(" S[a]ve to save plot, Return to quit: ")
if ans=="a":
pmagplotlib.saveP(FIGS,files)
else:
pmagplotlib.saveP(FIGS,files)
def main():
"""
NAME
vgpmap_magic.py
DESCRIPTION
makes a map of vgps and a95/dp,dm for site means in a pmag_results table
SYNTAX
vgpmap_magic.py [command line options]
OPTIONS
-h prints help and quits
-eye ELAT ELON [specify eyeball location], default is 90., 0.
-f FILE pmag_results format file, [default is pmag_results.txt]
-res [c,l,i,h] specify resolution (crude, low, intermediate, high]
-etp plot the etopo20 topographpy data (requires high resolution data set)
-prj PROJ, specify one of the following:
ortho = orthographic
lcc = lambert conformal
moll = molweide
merc = mercator
-sym SYM SIZE: choose a symbol and size, examples:
ro 5 : small red circles
bs 10 : intermediate blue squares
g^ 20 : large green triangles
-ell plot dp/dm or a95 ellipses
-rev RSYM RSIZE : flip reverse poles to normal antipode
-S: plot antipodes of all poles
-age : plot the ages next to the poles
-crd [g,t] : choose coordinate system, default is to plot all site VGPs
-fmt [pdf, png, eps...] specify output format, default is pdf
-sav save and quit
DEFAULTS
FILE: pmag_results.txt
res: c
prj: ortho
ELAT,ELON = 0,0
SYM SIZE: ro 8
RSYM RSIZE: g^ 8
"""
dir_path='.'
res,ages='c',0
plot=0
proj='ortho'
results_file='pmag_results.txt'
ell,flip=0,0
lat_0,lon_0=90.,0.
fmt='pdf'
sym,size='ro',8
rsym,rsize='g^',8
anti=0
fancy=0
coord=""
if '-WD' in sys.argv:
ind = sys.argv.index('-WD')
dir_path=sys.argv[ind+1]
if '-h' in sys.argv:
print main.__doc__
sys.exit()
if '-S' in sys.argv:anti=1
if '-fmt' in sys.argv:
ind = sys.argv.index('-fmt')
fmt=sys.argv[ind+1]
if '-sav' in sys.argv:plot=1
if '-res' in sys.argv:
ind = sys.argv.index('-res')
res=sys.argv[ind+1]
if '-etp' in sys.argv:fancy=1
if '-prj' in sys.argv:
ind = sys.argv.index('-prj')
proj=sys.argv[ind+1]
if '-rev' in sys.argv:
flip=1
ind = sys.argv.index('-rev')
rsym=(sys.argv[ind+1])
rsize=int(sys.argv[ind+2])
if '-sym' in sys.argv:
ind = sys.argv.index('-sym')
sym=(sys.argv[ind+1])
size=int(sys.argv[ind+2])
if '-eye' in sys.argv:
ind = sys.argv.index('-eye')
lat_0=float(sys.argv[ind+1])
lon_0=float(sys.argv[ind+2])
if '-ell' in sys.argv: ell=1
if '-age' in sys.argv: ages=1
if '-f' in sys.argv:
ind = sys.argv.index('-f')
results_file=sys.argv[ind+1]
if '-crd' in sys.argv:
ind = sys.argv.index('-crd')
crd=sys.argv[ind+1]
if crd=='g':coord='0'
if crd=='t':coord='100'
results_file=dir_path+'/'+results_file
data,file_type=pmag.magic_read(results_file)
if file_type!='pmag_results':
print "bad results file"
sys.exit()
FIG={'map':1}
pmagplotlib.plot_init(FIG['map'],6,6)
# read in er_sites file
lats,lons,dp,dm,a95=[],[],[],[],[]
Pars=[]
dates,rlats,rlons=[],[],[]
if 'data_type' in data[0].keys():
Results=pmag.get_dictitem(data,'data_type','i','T') # get all site level data
else:
Results=data
Results=pmag.get_dictitem(Results,'vgp_lat','','F') # get all non-blank latitudes
Results=pmag.get_dictitem(Results,'vgp_lon','','F') # get all non-blank longitudes
if coord!="":Results=pmag.get_dictitem(Results,'tilt_correction',coord,'T') # get specified coordinate system
location=""
for rec in Results:
if rec['er_location_names'] not in location:location = location+':'+rec['er_location_names']
if 'average_age' in rec.keys() and rec['average_age']!="" and ages==1:
dates.append(rec['average_age'])
lat=float(rec['vgp_lat'])
lon=float(rec['vgp_lon'])
if flip==0:
lats.append(lat)
lons.append(lon)
elif flip==1:
if lat<0:
rlats.append(-lat)
lon=lon+180.
if lon>360:lon=lon-360.
rlons.append(lon)
else:
lats.append(lat)
lons.append(lon)
elif anti==1:
lats.append(-lat)
lon=lon+180.
if lon>360:lon=lon-360.
lons.append(lon)
ppars=[]
ppars.append(lon)
ppars.append(lat)
ell1,ell2="",""
if 'vgp_dm' in rec.keys() and rec['vgp_dm']!="":ell1=float(rec['vgp_dm'])
if 'vgp_dp' in rec.keys() and rec['vgp_dp']!="":ell2=float(rec['vgp_dp'])
if 'vgp_alpha95' in rec.keys() and rec['vgp_alpha95']!="":ell1,ell2=float(rec['vgp_alpha95']),float(rec['vgp_alpha95'])
if ell1!="" and ell2!="":
ppars=[]
ppars.append(lons[-1])
ppars.append(lats[-1])
ppars.append(ell1)
ppars.append(lons[-1])
isign=abs(lats[-1])/lats[-1]
ppars.append(lats[-1]-isign*90.)
ppars.append(ell2)
ppars.append(lons[-1]+90.)
ppars.append(0.)
Pars.append(ppars)
location=location.strip(':')
Opts={'latmin':-90,'latmax':90,'lonmin':0.,'lonmax':360.,'lat_0':lat_0,'lon_0':lon_0,'proj':proj,'sym':'bs','symsize':3,'pltgrid':0,'res':res,'boundinglat':0.}
Opts['details']={'coasts':1,'rivers':0, 'states':0, 'countries':0,'ocean':1,'fancy':fancy}
pmagplotlib.plotMAP(FIG['map'],[90.],[0.],Opts) # make the base map with a blue triangle at the pole`
Opts['pltgrid']=-1
Opts['sym']=sym
Opts['symsize']=size
if len(dates)>0:Opts['names']=dates
if len(lats)>0:pmagplotlib.plotMAP(FIG['map'],lats,lons,Opts) # add the lats and lons of the poles
Opts['names']=[]
if len(rlats)>0:
Opts['sym']=rsym
Opts['symsize']=rsize
pmagplotlib.plotMAP(FIG['map'],rlats,rlons,Opts) # add the lats and lons of the poles
if plot==0:
pmagplotlib.drawFIGS(FIG)
if ell==1: # add ellipses if desired.
Opts['details']={'coasts':0,'rivers':0, 'states':0, 'countries':0,'ocean':0}
Opts['pltgrid']=-1 # turn off meridian replotting
Opts['symsize']=2
Opts['sym']='g-'
for ppars in Pars:
if ppars[2]!=0:
PTS=pmagplotlib.plotELL(FIG['map'],ppars,'g.',0,0)
elats,elons=[],[]
for pt in PTS:
elons.append(pt[0])
elats.append(pt[1])
pmagplotlib.plotMAP(FIG['map'],elats,elons,Opts) # make the base map with a blue triangle at the pole`
if plot==0:pmagplotlib.drawFIGS(FIG)
files={}
for key in FIG.keys():
files[key]='LO:_'+location+'_VGP_map.'+fmt
if pmagplotlib.isServer:
black = '#000000'
purple = '#800080'
titles={}
titles['eq']='LO:_'+location+'_VGP_map'
FIG = pmagplotlib.addBorders(FIG,titles,black,purple)
pmagplotlib.saveP(FIG,files)
elif plot==0:
pmagplotlib.drawFIGS(FIG)
ans=raw_input(" S[a]ve to save plot, Return to quit: ")
if ans=="a":
pmagplotlib.saveP(FIG,files)
else:
print "Good bye"
sys.exit()
else:
pmagplotlib.saveP(FIG,files)
def main():
"""
NAME
plot_map_pts.py
DESCRIPTION
plots points on map
SYNTAX
plot_map_pts.py [command line options]
OPTIONS
-h prints help and quits
-sym [ro, bs, g^, r., b-, etc.] [1,5,10] symbol and size for points
colors are r=red,b=blue,g=green, etc.
symbols are '.' for points, ^, for triangle, s for square, etc.
-, for lines, -- for dotted lines, see matplotlib online documentation for plot()
-eye ELAT ELON [specify eyeball location]
-etp put on topography
-f FILE, specify input file
-o color ocean blue/land green (default is not)
-res [c,l,i,h] specify resolution (crude, low, intermediate, high]
-fmt [pdf,eps, png] specify output format (default is pdf)
-R don't plot details of rivers
-B don't plot national/state boundaries, etc.
-pad [LAT LON] pad bounding box by LAT/LON (default is not)
-grd SPACE specify grid spacing
-sav save plot and quit
-prj PROJ, specify one of the supported projections: (see basemap.py online documentation)
aeqd = Azimuthal Equidistant
poly = Polyconic
gnom = Gnomonic
moll = Mollweide
tmerc = Transverse Mercator
nplaea = North-Polar Lambert Azimuthal
mill = Miller Cylindrical
merc = Mercator
stere = Stereographic
npstere = North-Polar Stereographic
geos = Geostationary
laea = Lambert Azimuthal Equal Area
sinu = Sinusoidal
spstere = South-Polar Stereographic
lcc = Lambert Conformal
npaeqd = North-Polar Azimuthal Equidistant
eqdc = Equidistant Conic
cyl = Cylindrical Equidistant
omerc = Oblique Mercator
aea = Albers Equal Area
spaeqd = South-Polar Azimuthal Equidistant
ortho = Orthographic
cass= Cassini-Soldner
splaea = South-Polar Lambert Azimuthal
robin = Robinson
Special codes for MagIC formatted input files:
-n
-l
INPUTS
space or tab delimited LON LAT data
OR:
standard MagIC formatted er_sites or pmag_results table
DEFAULTS
res: c
prj: mollweide; lcc for MagIC format files
ELAT,ELON = 0,0
pad LAT,LON=0,0
NB: high resolution or lines can be very slow
"""
dir_path='.'
plot=0
ocean=0
res='c'
proj='moll'
Lats,Lons=[],[]
fmt='pdf'
sym='ro'
symsize=5
fancy=0
rivers,boundaries,ocean=1,1,0
latmin,latmax,lonmin,lonmax,lat_0,lon_0=-90,90,0.,360.,0.,0.
padlat,padlon,gridspace=0,0,30
lat_0,lon_0="",""
prn_name,prn_loc,names,locs=0,0,[],[]
if '-WD' in sys.argv:
ind = sys.argv.index('-WD')
dir_path=sys.argv[ind+1]
if '-h' in sys.argv:
print(main.__doc__)
sys.exit()
if '-fmt' in sys.argv:
ind = sys.argv.index('-fmt')
fmt=sys.argv[ind+1]
if '-res' in sys.argv:
ind = sys.argv.index('-res')
res=sys.argv[ind+1]
if res!= 'c' and res!='l':
print('this resolution will take a while - be patient')
if '-etp' in sys.argv: fancy=1
if '-sav' in sys.argv: plot=1
if '-R' in sys.argv:rivers=0
if '-B' in sys.argv:boundaries=0
if '-o' in sys.argv:ocean=1
if '-grd' in sys.argv:
ind = sys.argv.index('-grd')
gridspace=float(sys.argv[ind+1])
if '-eye' in sys.argv:
ind = sys.argv.index('-eye')
lat_0=float(sys.argv[ind+1])
lon_0=float(sys.argv[ind+2])
if '-sym' in sys.argv:
ind = sys.argv.index('-sym')
sym=sys.argv[ind+1]
symsize=int(sys.argv[ind+2])
if '-pad' in sys.argv:
ind = sys.argv.index('-pad')
padlat=float(sys.argv[ind+1])
padlon=float(sys.argv[ind+2])
if '-f' in sys.argv:
ind = sys.argv.index('-f')
file=dir_path+'/'+sys.argv[ind+1]
header=open(file,'r').readlines()[0].split('\t')
if 'tab' in header[0]:
if '-n' in sys.argv:prn_name=1
if '-l' in sys.argv:prn_loc=1
proj='lcc'
if 'results' in header[1]:
latkey='average_lat'
lonkey='average_lon'
namekey='pmag_result_name'
lockey='er_location_names'
elif 'sites' in header[1]:
latkey='site_lat'
lonkey='site_lon'
namekey='er_site_name'
lockey='er_location_name'
else:
print('file type not supported')
print(main.__doc__)
sys.exit()
Sites,file_type=pmag.magic_read(file)
Lats=pmag.get_dictkey(Sites,latkey,'f')
Lons=pmag.get_dictkey(Sites,lonkey,'f')
if prn_name==1:names=pmag.get_dictkey(Sites,namekey,'')
if prn_loc==1:names=pmag.get_dictkey(Sites,lockey,'')
else:
ptdata=numpy.loadtxt(file)
Lons=ptdata.transpose()[0]
Lats=ptdata.transpose()[1]
latmin=numpy.min(Lats)-padlat
lonmin=numpy.min(Lons)-padlon
latmax=numpy.max(Lats)+padlat
lonmax=numpy.max(Lons)+padlon
if lon_0=="":
lon_0=0.5*(lonmin+lonmax)
lat_0=0.5*(latmin+latmax)
else:
print("input file must be specified")
sys.exit()
if '-prj' in sys.argv:
ind = sys.argv.index('-prj')
proj=sys.argv[ind+1]
FIG={'map':1}
pmagplotlib.plot_init(FIG['map'],6,6)
if res=='c':skip=8
if res=='l':skip=5
if res=='i':skip=2
if res=='h':skip=1
cnt=0
Opts={'latmin':latmin,'latmax':latmax,'lonmin':lonmin,'lonmax':lonmax,'lat_0':lat_0,'lon_0':lon_0,'proj':proj,'sym':sym,'symsize':3,'pltgrid':1,'res':res,'boundinglat':0.,'padlon':padlon,'padlat':padlat,'gridspace':gridspace}
Opts['details']={}
Opts['details']['coasts']=1
Opts['details']['rivers']=rivers
Opts['details']['states']=boundaries
Opts['details']['countries']=boundaries
Opts['details']['ocean']=ocean
Opts['details']['fancy']=fancy
if len(names)>0:Opts['names']=names
if len(locs)>0:Opts['loc_name']=locs
if proj=='merc':
Opts['latmin']=-70
Opts['latmax']=70
Opts['lonmin']=-180
Opts['lonmax']=180
print('please wait to draw points')
Opts['sym']=sym
Opts['symsize']=symsize
pmagplotlib.plotMAP(FIG['map'],Lats,Lons,Opts)
files={}
titles={}
titles['map']='PT Map'
for key in list(FIG.keys()):
files[key]='Map_PTS'+'.'+fmt
if pmagplotlib.isServer:
black = '#000000'
purple = '#800080'
FIG = pmagplotlib.addBorders(FIG,titles,black,purple)
pmagplotlib.saveP(FIG,files)
if plot==1:
pmagplotlib.saveP(FIG,files)
else:
pmagplotlib.drawFIGS(FIG)
ans=input(" S[a]ve to save plot, Return to quit: ")
if ans=="a": pmagplotlib.saveP(FIG,files)
def main():
"""
NAME
vgpmap_magic.py
DESCRIPTION
makes a map of vgps and a95/dp,dm for site means in a sites table
SYNTAX
vgpmap_magic.py [command line options]
OPTIONS
-h prints help and quits
-eye ELAT ELON [specify eyeball location], default is 90., 0.
-f FILE sites format file, [default is sites.txt]
-res [c,l,i,h] specify resolution (crude, low, intermediate, high]
-etp plot the etopo20 topographpy data (requires high resolution data set)
-prj PROJ, specify one of the following:
ortho = orthographic
lcc = lambert conformal
moll = molweide
merc = mercator
-sym SYM SIZE: choose a symbol and size, examples:
ro 5 : small red circles
bs 10 : intermediate blue squares
g^ 20 : large green triangles
-ell plot dp/dm or a95 ellipses
-rev RSYM RSIZE : flip reverse poles to normal antipode
-S: plot antipodes of all poles
-age : plot the ages next to the poles
-crd [g,t] : choose coordinate system, default is to plot all site VGPs
-fmt [pdf, png, eps...] specify output format, default is pdf
-sav save and quit
DEFAULTS
FILE: pmag_results.txt
res: c
prj: ortho
ELAT,ELON = 0,0
SYM SIZE: ro 8
RSYM RSIZE: g^ 8
"""
if '-h' in sys.argv:
print(main.__doc__)
sys.exit()
dir_path = pmag.get_named_arg_from_sys("-WD", ".")
# plot: default is 0, if -sav in sys.argv should be 1
plot = pmag.get_flag_arg_from_sys("-sav", true=1, false=0)
fmt = pmag.get_named_arg_from_sys("-fmt", "pdf")
res = pmag.get_named_arg_from_sys("-res", "c")
proj = pmag.get_named_arg_from_sys("-prj", "ortho")
anti = pmag.get_flag_arg_from_sys("-S", true=1, false=0)
fancy = pmag.get_flag_arg_from_sys("-etp", true=1, false=0)
ell = pmag.get_flag_arg_from_sys("-ell", true=1, false=0)
ages = pmag.get_flag_arg_from_sys("-age", true=1, false=0)
if '-rev' in sys.argv:
flip = 1
ind = sys.argv.index('-rev')
rsym = (sys.argv[ind + 1])
rsize = int(sys.argv[ind + 2])
else:
flip, rsym, rsize = 0, "g^", 8
if '-sym' in sys.argv:
ind = sys.argv.index('-sym')
sym = (sys.argv[ind + 1])
size = int(sys.argv[ind + 2])
else:
sym, size = 'ro', 8
if '-eye' in sys.argv:
ind = sys.argv.index('-eye')
lat_0 = float(sys.argv[ind + 1])
lon_0 = float(sys.argv[ind + 2])
else:
lat_0, lon_0 = 90., 0.
crd = pmag.get_named_arg_from_sys("-crd", "")
coord_dict = {'g': 0, 't': 100}
coord = coord_dict[crd] if crd else ""
results_file = pmag.get_named_arg_from_sys("-f", "sites.txt")
con = nb.Contribution(dir_path, single_file=results_file)
if not list(con.tables.keys()):
print("-W - Couldn't read in data")
return
FIG = {'map': 1}
pmagplotlib.plot_init(FIG['map'], 6, 6)
# read in er_sites file
lats, lons = [], []
Pars = []
dates, rlats, rlons = [], [], []
site_container = con.tables['sites']
site_df = site_container.df
# use individual results
site_df = site_df[site_df['result_type'] == 'i']
# use records with vgp_lat and vgp_lon
cond1, cond2 = site_df['vgp_lat'].notnull(), site_df['vgp_lon'].notnull()
Results = site_df[cond1 & cond2]
# use tilt correction
if coord and 'dir_tilt_correction' in Results.columns:
Results = Results[Results['dir_tilt_correction'] == coord]
# get location name and average ages
location = ":".join(Results['location'].unique())
if 'average_age' in Results.columns and ages == 1:
dates = Results['average_age'].unique()
# go through rows and extract data
for ind, row in Results.iterrows():
lat, lon = float(row['vgp_lat']), float(row['vgp_lon'])
if anti == 1:
lats.append(-lat)
lon = lon + 180.
if lon > 360:
lon = lon - 360.
lons.append(lon)
elif flip == 0:
lats.append(lat)
lons.append(lon)
elif flip == 1:
if lat < 0:
rlats.append(-lat)
lon = lon + 180.
if lon > 360:
lon = lon - 360
rlons.append(lon)
else:
lats.append(lat)
lons.append(lon)
ppars = []
ppars.append(lon)
ppars.append(lat)
ell1, ell2 = "", ""
if 'vgp_dm' in list(row.keys()) and row['vgp_dm']:
ell1 = float(row['vgp_dm'])
if 'vgp_dp' in list(row.keys()) and row['vgp_dp']:
ell2 = float(row['vgp_dp'])
if 'vgp_alpha95' in list(row.keys()) and row['vgp_alpha95'].notnull():
ell1, ell2 = float(row['vgp_alpha95']), float(row['vgp_alpha95'])
if ell1 and ell2:
ppars = []
ppars.append(lons[-1])
ppars.append(lats[-1])
ppars.append(ell1)
ppars.append(lons[-1])
isign = old_div(abs(lats[-1]), lats[-1])
ppars.append(lats[-1] - isign * 90.)
ppars.append(ell2)
ppars.append(lons[-1] + 90.)
ppars.append(0.)
Pars.append(ppars)
location = location.strip(':')
Opts = {
'latmin': -90,
'latmax': 90,
'lonmin': 0.,
'lonmax': 360.,
'lat_0': lat_0,
'lon_0': lon_0,
'proj': proj,
'sym': 'bs',
'symsize': 3,
'pltgrid': 0,
'res': res,
'boundinglat': 0.
}
Opts['details'] = {
'coasts': 1,
'rivers': 0,
'states': 0,
'countries': 0,
'ocean': 1,
'fancy': fancy
}
# make the base map with a blue triangle at the pole
pmagplotlib.plotMAP(FIG['map'], [90.], [0.], Opts)
Opts['pltgrid'] = -1
Opts['sym'] = sym
Opts['symsize'] = size
if len(dates) > 0:
Opts['names'] = dates
if len(lats) > 0:
# add the lats and lons of the poles
pmagplotlib.plotMAP(FIG['map'], lats, lons, Opts)
Opts['names'] = []
if len(rlats) > 0:
Opts['sym'] = rsym
Opts['symsize'] = rsize
# add the lats and lons of the poles
pmagplotlib.plotMAP(FIG['map'], rlats, rlons, Opts)
if plot == 0:
pmagplotlib.drawFIGS(FIG)
if ell == 1: # add ellipses if desired.
Opts['details'] = {
'coasts': 0,
'rivers': 0,
'states': 0,
'countries': 0,
'ocean': 0,
'fancy': fancy
}
Opts['pltgrid'] = -1 # turn off meridian replotting
Opts['symsize'] = 2
Opts['sym'] = 'g-'
for ppars in Pars:
if ppars[2] != 0:
PTS = pmagplotlib.plotELL(FIG['map'], ppars, 'g.', 0, 0)
elats, elons = [], []
for pt in PTS:
elons.append(pt[0])
elats.append(pt[1])
# make the base map with a blue triangle at the pole
pmagplotlib.plotMAP(FIG['map'], elats, elons, Opts)
if plot == 0:
pmagplotlib.drawFIGS(FIG)
files = {}
for key in list(FIG.keys()):
if pmagplotlib.isServer: # use server plot naming convention
files[key] = 'LO:_' + location + '_VGP_map.' + fmt
else: # use more readable naming convention
files[key] = '{}_VGP_map.{}'.format(location, fmt)
if pmagplotlib.isServer:
black = '#000000'
purple = '#800080'
titles = {}
titles['eq'] = 'LO:_' + location + '_VGP_map'
FIG = pmagplotlib.addBorders(FIG, titles, black, purple)
pmagplotlib.saveP(FIG, files)
elif plot == 0:
pmagplotlib.drawFIGS(FIG)
ans = input(" S[a]ve to save plot, Return to quit: ")
if ans == "a":
pmagplotlib.saveP(FIG, files)
else:
print("Good bye")
sys.exit()
else:
pmagplotlib.saveP(FIG, files)
def main():
"""
NAME
cont_rot.py
DESCRIPTION
rotates continental fragments according to specified Euler pole
SYNTAX
cont_rot.py [command line options]
OPTIONS
-h prints help and quits
-con [af, congo, kala, aus, balt, eur, ind, sam, ant, grn, lau, nam, gond] , specify colon delimited list of continents to be displayed, e.g., af, af:aus], etc
-age use finite rotations of Torsvik et al. 2008 for specific age (5 Ma increments <325Ma)
rotates to paleomagnetic reference frame
available conts: [congo kala aus eur ind sam ant grn nam]
-sac include rotation of south african craton to pmag reference
-sym [ro, bs, g^, r., b-, etc.] [1,5,10] symbol and size for continent
colors are r=red,b=blue,g=green, etc.
symbols are '.' for points, ^, for triangle, s for square, etc.
-, for lines, -- for dotted lines, see matplotlib online documentation for plot()
-eye ELAT ELON [specify eyeball location]
-pfr PLAT PLON OMEGA [specify pole of finite rotation lat,lon and degrees]
-ffr FFILE, specifies series of finite rotations
vector in tab delimited file
-sr treat poles as sequential rotations
-fpp PFILE, specifies series of paleopoles from which
euler poles can be calculated: vector in tab delimited file
-pt LAT LON, specify a point to rotate along with continent
-fpt PTFILE, specifies file with a series of points to be plotted
-res [c,l,i,h] specify resolution (crude, low, intermediate, high]
-fmt [png,jpg,svg,pdf] format for saved figure - pdf is default
-sav saves plots and quits
-prj PROJ, specify one of the supported projections: (see basemap.py online documentation)
aeqd = Azimuthal Equidistant
poly = Polyconic
gnom = Gnomonic
moll = Mollweide
tmerc = Transverse Mercator
nplaea = North-Polar Lambert Azimuthal
mill = Miller Cylindrical
merc = Mercator
stere = Stereographic
npstere = North-Polar Stereographic
geos = Geostationary
laea = Lambert Azimuthal Equal Area
sinu = Sinusoidal
spstere = South-Polar Stereographic
lcc = Lambert Conformal
npaeqd = North-Polar Azimuthal Equidistant
eqdc = Equidistant Conic
cyl = Cylindrical Equidistant
omerc = Oblique Mercator
aea = Albers Equal Area
spaeqd = South-Polar Azimuthal Equidistant
ortho = Orthographic
cass= Cassini-Soldner
splaea = South-Polar Lambert Azimuthal
robin = Robinson
DEFAULTS
con: nam
res: c
prj: mollweide
ELAT,ELON = 0,0
NB: high resolution or lines can be very slow
"""
dir_path='.'
ocean=0
res='c'
proj='moll'
euler_file=''
Conts=[]
Poles=[]
PTS=[]
lat_0,lon_0=0.,0.
fmt='pdf'
sym='r.'
symsize=5
plot=0
SEQ,age,SAC=0,0,0
rconts=['af','congo','kala','aus','eur','ind','sam','ant','grn','nam']
if '-WD' in sys.argv:
ind = sys.argv.index('-WD')
dir_path=sys.argv[ind+1]
if '-h' in sys.argv:
print main.__doc__
sys.exit()
if '-fmt' in sys.argv:
ind = sys.argv.index('-fmt')
fmt=sys.argv[ind+1]
if '-con' in sys.argv:
ind = sys.argv.index('-con')
Conts=sys.argv[ind+1].split(':')
if '-age' in sys.argv:
ind = sys.argv.index('-age')
age=int(sys.argv[ind+1])
if age%5!=0 and age>320:
print main.__doc__
print 'age must be multiple of 5 less than 325'
sys.exit()
import pmagpy.frp as frp
if '-res' in sys.argv:
ind = sys.argv.index('-res')
res=sys.argv[ind+1]
if res!= 'c' and res!='l':
print 'this resolution will take a while - be patient'
if '-prj' in sys.argv:
ind = sys.argv.index('-prj')
proj=sys.argv[ind+1]
if '-sav' in sys.argv: plot=1
if '-eye' in sys.argv:
ind = sys.argv.index('-eye')
lat_0=float(sys.argv[ind+1])
lon_0=float(sys.argv[ind+2])
if '-pt' in sys.argv:
ind = sys.argv.index('-pt')
pt_lat=float(sys.argv[ind+1])
pt_lon=float(sys.argv[ind+2])
PTS.append([pt_lat,pt_lon])
if '-sym' in sys.argv:
ind = sys.argv.index('-sym')
sym=sys.argv[ind+1]
symsize=int(sys.argv[ind+2])
# if '-rsym' in sys.argv:
# ind = sys.argv.index('-rsym')
# rsym=sys.argv[ind+1]
# rsymsize=int(sys.argv[ind+2])
if '-sr' in sys.argv: SEQ=1
if '-sac' in sys.argv: SAC=1
if '-pfr' in sys.argv:
ind = sys.argv.index('-pfr')
Poles.append([float(sys.argv[ind+1]),float(sys.argv[ind+2]),float(sys.argv[ind+3])])
elif '-ffr' in sys.argv:
ind = sys.argv.index('-ffr')
file=dir_path+'/'+sys.argv[ind+1]
f=open(file,'rU')
edata=f.readlines()
for line in edata:
rec=line.split()
Poles.append([float(rec[0]),float(rec[1]),float(rec[2])])
elif '-fpp' in sys.argv:
ind = sys.argv.index('-fpp')
file=dir_path+'/'+sys.argv[ind+1]
f=open(file,'rU')
pdata=f.readlines()
for line in pdata:
rec=line.split()
# transform paleopole to Euler pole taking shortest route
Poles.append([0.,float(rec[1])-90.,90.-float(rec[0])])
if '-fpt' in sys.argv:
ind = sys.argv.index('-fpt')
file=dir_path+'/'+sys.argv[ind+1]
f=open(file,'rU')
ptdata=f.readlines()
for line in ptdata:
rec=line.split()
PTS.append([float(rec[0]),float(rec[1])])
FIG={'map':1}
pmagplotlib.plot_init(FIG['map'],6,6)
# read in er_sites file
if res=='c':skip=8
if res=='l':skip=5
if res=='i':skip=2
if res=='h':skip=1
cnt=0
Opts={'latmin':-90,'latmax':90,'lonmin':0.,'lonmax':360.,'lat_0':lat_0,'lon_0':lon_0,'proj':proj,'sym':sym,'symsize':3,'pltgrid':0,'res':res,'boundinglat':0.}
if proj=='merc':
Opts['latmin']=-70
Opts['latmax']=70
Opts['lonmin']=-180
Opts['lonmax']=180
pmagplotlib.plotMAP(FIG['map'],[],[],Opts) # plot the basemap
Opts['pltgrid']=-1 # turn off replotting of gridlines
if '-pt' in sys.argv:
Opts['sym']=sym
Opts['symsize']=symsize
pmagplotlib.plotMAP(FIG['map'],[pt_lat],[pt_lon],Opts)
if plot==0:pmagplotlib.drawFIGS(FIG)
for cont in Conts:
Opts['sym']=sym
lats,lons=[],[]
if age!=0:
Poles=[]
rcont=cont
if rcont not in rconts:
print main.__doc__
print rcont
print 'continents must be one of following: '
print rconts
sys.exit()
if rcont=='congo':rcont='nwaf'
if rcont=='kala':rcont='neaf'
if rcont=='sam':rcont='sac'
if rcont=='ant':rcont='eant'
if rcont!='af':
Poles.append(frp.get_pole(rcont,age))
else:
Poles.append([0,0,0])
if SAC==1:Poles.append(frp.get_pole('saf',age))
SEQ=1
if Poles[-1]=='NONE':
print 'continent does not exist for rotation, try again '
sys.exit()
data=continents.get_continent(cont+'.asc')
for line in data:
if float(line[0])==0 and float(line[1])==0:line[0]='100.' # change stupid 0,0s to delimeters with lat=100
if float(line[0])>90:
lats.append(float(line[0]))
lons.append(float(line[1]))
elif cnt%skip==0:
lats.append(float(line[0]))
lons.append(float(line[1]))
cnt+=1
if len(lats)>0 and len(Poles)==0:
pmagplotlib.plotMAP(FIG['map'],lats,lons,Opts)
if plot==0:pmagplotlib.drawFIGS(FIG)
newlats,newlons=[],[]
for lat in lats:newlats.append(lat)
for lon in lons:newlons.append(lon)
Opts['pltgrid']=-1 # turns off replotting of meridians and parallels
for pole in Poles:
Rlats,Rlons=pmag.PTrot(pole,newlats,newlons)
Opts['sym']=sym
Opts['symsize']=3
if SEQ==0:
pmagplotlib.plotMAP(FIG['map'],Rlats,Rlons,Opts)
elif pole==Poles[-1]: # plot only last pole for sequential rotations
pmagplotlib.plotMAP(FIG['map'],Rlats,Rlons,Opts)
if plot==0:pmagplotlib.drawFIGS(FIG)
if SEQ==1: # treat poles as sequential rotations
newlats,newlons=[],[]
for lat in Rlats:newlats.append(lat)
for lon in Rlons:newlons.append(lon)
for pt in PTS:
pt_lat=pt[0]
pt_lon=pt[1]
Opts['sym']='r*'
Opts['symsize']=5
pmagplotlib.plotMAP(FIG['map'],[pt[0]],[pt[1]],Opts)
if plot==0:pmagplotlib.drawFIGS(FIG)
Opts['pltgrid']=-1 # turns off replotting of meridians and parallels
for pole in Poles:
Opts['sym']=sym
Opts['symsize']=symsize
Rlats,Rlons=pmag.PTrot(pole,[pt_lat],[pt_lon])
print Rlats,Rlons
pmagplotlib.plotMAP(FIG['map'],Rlats,Rlons,Opts)
if plot==0:pmagplotlib.drawFIGS(FIG)
Opts['sym']='g^'
Opts['symsize']=5
pmagplotlib.plotMAP(FIG['map'],[pole[0]],[pole[1]],Opts)
if plot==0:pmagplotlib.drawFIGS(FIG)
files={}
for key in FIG.keys():
files[key]='Cont_rot'+'.'+fmt
if plot==1:
pmagplotlib.saveP(FIG,files)
sys.exit()
if pmagplotlib.isServer:
black = '#000000'
purple = '#800080'
titles={}
titles['eq']='Site Map'
FIG = pmagplotlib.addBorders(FIG,titles,black,purple)
pmagplotlib.saveP(FIG,files)
else:
pmagplotlib.drawFIGS(FIG)
ans=raw_input(" S[a]ve to save plot, Return to quit: ")
if ans=="a":
pmagplotlib.saveP(FIG,files)
def main():
"""
NAME
cont_rot.py
DESCRIPTION
rotates continental fragments according to specified Euler pole
SYNTAX
cont_rot.py [command line options]
OPTIONS
-h prints help and quits
-con [af, congo, kala, aus, balt, eur, ind, sam, ant, grn, lau, nam, gond] , specify colon delimited list of continents to be displayed, e.g., af, af:aus], etc
-age use finite rotations of Torsvik et al. 2008 for specific age (5 Ma increments <325Ma)
rotates to paleomagnetic reference frame
available conts: [congo kala aus eur ind sam ant grn nam]
-sac include rotation of south african craton to pmag reference
-sym [ro, bs, g^, r., b-, etc.] [1,5,10] symbol and size for continent
colors are r=red,b=blue,g=green, etc.
symbols are '.' for points, ^, for triangle, s for square, etc.
-, for lines, -- for dotted lines, see matplotlib online documentation for plot()
-eye ELAT ELON [specify eyeball location]
-pfr PLAT PLON OMEGA [specify pole of finite rotation lat,lon and degrees]
-ffr FFILE, specifies series of finite rotations
vector in tab delimited file
-sr treat poles as sequential rotations
-fpp PFILE, specifies series of paleopoles from which
euler poles can be calculated: vector in tab delimited file
-pt LAT LON, specify a point to rotate along with continent
-fpt PTFILE, specifies file with a series of points to be plotted
-res [c,l,i,h] specify resolution (crude, low, intermediate, high]
-fmt [png,jpg,svg,pdf] format for saved figure - pdf is default
-sav saves plots and quits
-prj PROJ, specify one of the supported projections: (see basemap.py online documentation)
aeqd = Azimuthal Equidistant
poly = Polyconic
gnom = Gnomonic
moll = Mollweide
tmerc = Transverse Mercator
nplaea = North-Polar Lambert Azimuthal
mill = Miller Cylindrical
merc = Mercator
stere = Stereographic
npstere = North-Polar Stereographic
geos = Geostationary
laea = Lambert Azimuthal Equal Area
sinu = Sinusoidal
spstere = South-Polar Stereographic
lcc = Lambert Conformal
npaeqd = North-Polar Azimuthal Equidistant
eqdc = Equidistant Conic
cyl = Cylindrical Equidistant
omerc = Oblique Mercator
aea = Albers Equal Area
spaeqd = South-Polar Azimuthal Equidistant
ortho = Orthographic
cass= Cassini-Soldner
splaea = South-Polar Lambert Azimuthal
robin = Robinson
DEFAULTS
con: nam
res: c
prj: mollweide
ELAT,ELON = 0,0
NB: high resolution or lines can be very slow
"""
dir_path='.'
ocean=0
res='c'
proj='moll'
euler_file=''
Conts=[]
Poles=[]
PTS=[]
lat_0,lon_0=0.,0.
fmt='pdf'
sym='r.'
symsize=5
plot=0
SEQ,age,SAC=0,0,0
rconts=['af','congo','kala','aus','eur','ind','sam','ant','grn','nam']
if '-WD' in sys.argv:
ind = sys.argv.index('-WD')
dir_path=sys.argv[ind+1]
if '-h' in sys.argv:
print main.__doc__
sys.exit()
if '-fmt' in sys.argv:
ind = sys.argv.index('-fmt')
fmt=sys.argv[ind+1]
if '-con' in sys.argv:
ind = sys.argv.index('-con')
Conts=sys.argv[ind+1].split(':')
if '-age' in sys.argv:
ind = sys.argv.index('-age')
age=int(sys.argv[ind+1])
if age%5!=0 and age>320:
print main.__doc__
print 'age must be multiple of 5 less than 325'
sys.exit()
import pmagpy.frp as frp
if '-res' in sys.argv:
ind = sys.argv.index('-res')
res=sys.argv[ind+1]
if res!= 'c' and res!='l':
print 'this resolution will take a while - be patient'
if '-prj' in sys.argv:
ind = sys.argv.index('-prj')
proj=sys.argv[ind+1]
if '-sav' in sys.argv: plot=1
if '-eye' in sys.argv:
ind = sys.argv.index('-eye')
lat_0=float(sys.argv[ind+1])
lon_0=float(sys.argv[ind+2])
if '-pt' in sys.argv:
ind = sys.argv.index('-pt')
pt_lat=float(sys.argv[ind+1])
pt_lon=float(sys.argv[ind+2])
PTS.append([pt_lat,pt_lon])
if '-sym' in sys.argv:
ind = sys.argv.index('-sym')
sym=sys.argv[ind+1]
symsize=int(sys.argv[ind+2])
# if '-rsym' in sys.argv:
# ind = sys.argv.index('-rsym')
# rsym=sys.argv[ind+1]
# rsymsize=int(sys.argv[ind+2])
if '-sr' in sys.argv: SEQ=1
if '-sac' in sys.argv: SAC=1
if '-pfr' in sys.argv:
ind = sys.argv.index('-pfr')
Poles.append([float(sys.argv[ind+1]),float(sys.argv[ind+2]),float(sys.argv[ind+3])])
elif '-ffr' in sys.argv:
ind = sys.argv.index('-ffr')
file=dir_path+'/'+sys.argv[ind+1]
f=open(file,'rU')
edata=f.readlines()
for line in edata:
rec=line.split()
Poles.append([float(rec[0]),float(rec[1]),float(rec[2])])
elif '-fpp' in sys.argv:
ind = sys.argv.index('-fpp')
file=dir_path+'/'+sys.argv[ind+1]
f=open(file,'rU')
pdata=f.readlines()
for line in pdata:
rec=line.split()
# transform paleopole to Euler pole taking shortest route
Poles.append([0.,float(rec[1])-90.,90.-float(rec[0])])
if '-fpt' in sys.argv:
ind = sys.argv.index('-fpt')
file=dir_path+'/'+sys.argv[ind+1]
f=open(file,'rU')
ptdata=f.readlines()
for line in ptdata:
rec=line.split()
PTS.append([float(rec[0]),float(rec[1])])
FIG={'map':1}
pmagplotlib.plot_init(FIG['map'],6,6)
# read in er_sites file
if res=='c':skip=8
if res=='l':skip=5
if res=='i':skip=2
if res=='h':skip=1
cnt=0
Opts={'latmin':-90,'latmax':90,'lonmin':0.,'lonmax':360.,'lat_0':lat_0,'lon_0':lon_0,'proj':proj,'sym':sym,'symsize':3,'pltgrid':0,'res':res,'boundinglat':0.}
if proj=='merc':
Opts['latmin']=-70
Opts['latmax']=70
Opts['lonmin']=-180
Opts['lonmax']=180
pmagplotlib.plotMAP(FIG['map'],[],[],Opts) # plot the basemap
Opts['pltgrid']=-1 # turn off replotting of gridlines
if '-pt' in sys.argv:
Opts['sym']=sym
Opts['symsize']=symsize
pmagplotlib.plotMAP(FIG['map'],[pt_lat],[pt_lon],Opts)
if plot==0:pmagplotlib.drawFIGS(FIG)
for cont in Conts:
Opts['sym']=sym
lats,lons=[],[]
if age!=0:
Poles=[]
rcont=cont
if rcont not in rconts:
print main.__doc__
print rcont
print 'continents must be one of following: '
print rconts
sys.exit()
if rcont=='congo':rcont='nwaf'
if rcont=='kala':rcont='neaf'
if rcont=='sam':rcont='sac'
if rcont=='ant':rcont='eant'
if rcont!='af':
Poles.append(frp.get_pole(rcont,age))
else:
Poles.append([0,0,0])
if SAC==1:Poles.append(frp.get_pole('saf',age))
SEQ=1
if Poles[-1]=='NONE':
print 'continent does not exist for rotation, try again '
sys.exit()
data=continents.get_continent(cont+'.asc')
for line in data:
if float(line[0])==0 and float(line[1])==0:line[0]='100.' # change stupid 0,0s to delimeters with lat=100
if float(line[0])>90:
lats.append(float(line[0]))
lons.append(float(line[1]))
elif cnt%skip==0:
lats.append(float(line[0]))
lons.append(float(line[1]))
cnt+=1
if len(lats)>0 and len(Poles)==0:
pmagplotlib.plotMAP(FIG['map'],lats,lons,Opts)
if plot==0:pmagplotlib.drawFIGS(FIG)
newlats,newlons=[],[]
for lat in lats:newlats.append(lat)
for lon in lons:newlons.append(lon)
Opts['pltgrid']=-1 # turns off replotting of meridians and parallels
for pole in Poles:
Rlats,Rlons=pmag.PTrot(pole,newlats,newlons)
Opts['sym']=sym
Opts['symsize']=3
if SEQ==0:
pmagplotlib.plotMAP(FIG['map'],Rlats,Rlons,Opts)
elif pole==Poles[-1]: # plot only last pole for sequential rotations
pmagplotlib.plotMAP(FIG['map'],Rlats,Rlons,Opts)
if plot==0:pmagplotlib.drawFIGS(FIG)
if SEQ==1: # treat poles as sequential rotations
newlats,newlons=[],[]
for lat in Rlats:newlats.append(lat)
for lon in Rlons:newlons.append(lon)
for pt in PTS:
pt_lat=pt[0]
pt_lon=pt[1]
Opts['sym']='r*'
Opts['symsize']=5
pmagplotlib.plotMAP(FIG['map'],[pt[0]],[pt[1]],Opts)
if plot==0:pmagplotlib.drawFIGS(FIG)
Opts['pltgrid']=-1 # turns off replotting of meridians and parallels
for pole in Poles:
Opts['sym']=sym
Opts['symsize']=symsize
Rlats,Rlons=pmag.PTrot(pole,[pt_lat],[pt_lon])
print Rlats,Rlons
pmagplotlib.plotMAP(FIG['map'],Rlats,Rlons,Opts)
if plot==0:pmagplotlib.drawFIGS(FIG)
Opts['sym']='g^'
Opts['symsize']=5
pmagplotlib.plotMAP(FIG['map'],[pole[0]],[pole[1]],Opts)
if plot==0:pmagplotlib.drawFIGS(FIG)
files={}
for key in FIG.keys():
files[key]='Cont_rot'+'.'+fmt
if plot==1:
pmagplotlib.saveP(FIG,files)
sys.exit()
if pmagplotlib.isServer:
black = '#000000'
purple = '#800080'
titles={}
titles['eq']='Site Map'
FIG = pmagplotlib.addBorders(FIG,titles,black,purple)
pmagplotlib.saveP(FIG,files)
else:
pmagplotlib.drawFIGS(FIG)
ans=raw_input(" S[a]ve to save plot, Return to quit: ")
if ans=="a":
pmagplotlib.saveP(FIG,files)
def main():
"""
NAME
plot_geomagia.py
DESCRIPTION
makes a map and VADM plot of geomagia download file
SYNTAX
plot_geomagia.py [command line options]
OPTIONS
-h prints help message and quits
-f FILE, specify geomagia download file
-res [c,l,i,h] specify resolution (crude,low,intermediate,high)
-etp plot the etopo20 topographic mesh
-pad [LAT LON] pad bounding box by LAT/LON (default is [.5 .5] degrees)
-grd SPACE specify grid spacing
-prj [lcc] , specify projection (lcc=lambert conic conformable), default is mercator
-o color ocean blue/land green (default is not)
-d plot details of rivers, boundaries, etc.
-sav save plot and quit quietly
-fmt [png,svg,eps,jpg,pdf] specify format for output, default is pdf
DEFAULTS
resolution: intermediate
saved images are in pdf
"""
dir_path = '.'
names, res, proj, locs, padlon, padlat, fancy, gridspace, details = [], 'l', 'lcc', '', 0, 0, 0, 15, 1
Age_bounds = [-5000, 2000]
Lat_bounds = [20, 45]
Lon_bounds = [15, 55]
fmt = 'pdf'
if '-h' in sys.argv:
print(main.__doc__)
sys.exit()
if '-f' in sys.argv:
ind = sys.argv.index('-f')
sites_file = sys.argv[ind + 1]
if '-res' in sys.argv:
ind = sys.argv.index('-res')
res = sys.argv[ind + 1]
if '-etp' in sys.argv: fancy = 1
if '-o' in sys.argv: ocean = 1
if '-d' in sys.argv: details = 1
if '-prj' in sys.argv:
ind = sys.argv.index('-prj')
proj = sys.argv[ind + 1]
if '-fmt' in sys.argv:
ind = sys.argv.index('-fmt')
fmt = sys.argv[ind + 1]
verbose = pmagplotlib.verbose
if '-sav' in sys.argv:
verbose = 0
if '-pad' in sys.argv:
ind = sys.argv.index('-pad')
padlat = float(sys.argv[ind + 1])
padlon = float(sys.argv[ind + 2])
if '-grd' in sys.argv:
ind = sys.argv.index('-grd')
gridspace = float(sys.argv[ind + 1])
if '-WD' in sys.argv:
ind = sys.argv.index('-WD')
dir_path = sys.argv[ind + 1]
sites_file = dir_path + '/' + sites_file
geo_in = open(sites_file, 'r').readlines()
Age, AgeErr, Vadm, VadmErr, slats, slons = [], [], [], [], [], []
for line in geo_in[2:]: # skip top two rows`
rec = line.split()
if float(rec[0])>Age_bounds[0] and float(rec[0])<Age_bounds[1] \
and float(rec[12])>Lat_bounds[0] and float(rec[12]) < Lat_bounds[1]\
and float(rec[13])>Lon_bounds[0] and float(rec[13])<Lon_bounds[1]:
Age.append(float(rec[0]))
AgeErr.append(float(rec[1]))
Vadm.append(10. * float(rec[6]))
VadmErr.append(10. * float(rec[7]))
slats.append(float(rec[12]))
slons.append(float(rec[13]))
FIGS = {'map': 1, 'vadms': 2}
pmagplotlib.plot_init(FIGS['map'], 6, 6)
pmagplotlib.plot_init(FIGS['vadms'], 6, 6)
Opts = {
'res': res,
'proj': proj,
'loc_name': locs,
'padlon': padlon,
'padlat': padlat,
'latmin': numpy.min(slats) - padlat,
'latmax': numpy.max(slats) + padlat,
'lonmin': numpy.min(slons) - padlon,
'lonmax': numpy.max(slons) + padlon,
'sym': 'ro',
'boundinglat': 0.,
'pltgrid': 1
}
Opts['lon_0'] = int(0.5 * (numpy.min(slons) + numpy.max(slons)))
Opts['lat_0'] = int(0.5 * (numpy.min(slats) + numpy.max(slats)))
Opts['gridspace'] = gridspace
if details == 1:
Opts['details'] = {
'coasts': 1,
'rivers': 0,
'states': 1,
'countries': 1,
'ocean': 1
}
else:
Opts['details'] = {
'coasts': 1,
'rivers': 0,
'states': 0,
'countries': 0,
'ocean': 1
}
Opts['details']['fancy'] = fancy
pmagplotlib.plotMAP(FIGS['map'], slats, slons, Opts)
pmagplotlib.plotXY(FIGS['vadms'],
Age,
Vadm,
sym='bo',
xlab='Age (Years CE)',
ylab=r'VADM (ZAm$^2$)')
if verbose: pmagplotlib.drawFIGS(FIGS)
files = {}
for key in list(FIGS.keys()):
files[key] = key + '.' + fmt
if pmagplotlib.isServer:
black = '#000000'
purple = '#800080'
titles = {}
titles['map'] = 'Map'
titles['vadms'] = 'VADMs'
FIG = pmagplotlib.addBorders(FIGS, titles, black, purple)
pmagplotlib.saveP(FIGS, files)
elif verbose:
ans = input(" S[a]ve to save plot, Return to quit: ")
if ans == "a":
pmagplotlib.saveP(FIGS, files)
else:
pmagplotlib.saveP(FIGS, files)
def main():
"""
NAME
basemap_magic.py
NB: this program no longer maintained - use plot_mapPTS.py for greater functionality
DESCRIPTION
makes a map of locations in er_sites.txt
SYNTAX
basemap_magic.py [command line options]
OPTIONS
-h prints help message and quits
-f SFILE, specify er_sites.txt or pmag_results.txt format file
-res [c,l,i,h] specify resolution (crude,low,intermediate,high)
-etp plot the etopo20 topographic mesh
-pad [LAT LON] pad bounding box by LAT/LON (default is [.5 .5] degrees)
-grd SPACE specify grid spacing
-prj [lcc] , specify projection (lcc=lambert conic conformable), default is mercator
-n print site names (default is not)
-l print location names (default is not)
-o color ocean blue/land green (default is not)
-R don't plot details of rivers
-B don't plot national/state boundaries, etc.
-sav save plot and quit quietly
-fmt [png,svg,eps,jpg,pdf] specify format for output, default is pdf
DEFAULTS
SFILE: 'er_sites.txt'
resolution: intermediate
saved images are in pdf
"""
dir_path = '.'
sites_file = 'er_sites.txt'
ocean = 0
res = 'i'
proj = 'merc'
prn_name = 0
prn_loc = 0
fancy = 0
rivers, boundaries = 0, 0
padlon, padlat, gridspace, details = .5, .5, .5, 1
fmt = 'pdf'
if '-h' in sys.argv:
print(main.__doc__)
sys.exit()
if '-f' in sys.argv:
ind = sys.argv.index('-f')
sites_file = sys.argv[ind + 1]
if '-res' in sys.argv:
ind = sys.argv.index('-res')
res = sys.argv[ind + 1]
if '-etp' in sys.argv: fancy = 1
if '-n' in sys.argv: prn_name = 1
if '-l' in sys.argv: prn_loc = 1
if '-o' in sys.argv: ocean = 1
if '-R' in sys.argv: rivers = 0
if '-B' in sys.argv: boundaries = 0
if '-prj' in sys.argv:
ind = sys.argv.index('-prj')
proj = sys.argv[ind + 1]
if '-fmt' in sys.argv:
ind = sys.argv.index('-fmt')
fmt = sys.argv[ind + 1]
verbose = pmagplotlib.verbose
if '-sav' in sys.argv:
verbose = 0
if '-pad' in sys.argv:
ind = sys.argv.index('-pad')
padlat = float(sys.argv[ind + 1])
padlon = float(sys.argv[ind + 2])
if '-grd' in sys.argv:
ind = sys.argv.index('-grd')
gridspace = float(sys.argv[ind + 1])
if '-WD' in sys.argv:
ind = sys.argv.index('-WD')
dir_path = sys.argv[ind + 1]
sites_file = dir_path + '/' + sites_file
location = ""
FIG = {'map': 1}
pmagplotlib.plot_init(FIG['map'], 6, 6)
# read in er_sites file
Sites, file_type = pmag.magic_read(sites_file)
if 'results' in file_type:
latkey = 'average_lat'
lonkey = 'average_lon'
namekey = 'pmag_result_name'
lockey = 'er_location_names'
else:
latkey = 'site_lat'
lonkey = 'site_lon'
namekey = 'er_site_name'
lockey = 'er_location_name'
lats, lons = [], []
slats, slons = [], []
names, locs = [], []
for site in Sites:
if prn_loc == 1 and location == "": location = site['er_location_name']
lats.append(float(site[latkey]))
l = float(site[lonkey])
if l < 0: l = l + 360. # make positive
lons.append(l)
if prn_name == 1: names.append(site[namekey])
if prn_loc == 1: locs.append(site[lockey])
for lat in lats:
slats.append(lat)
for lon in lons:
slons.append(lon)
Opts = {
'res': res,
'proj': proj,
'loc_name': locs,
'padlon': padlon,
'padlat': padlat,
'latmin': numpy.min(slats) - padlat,
'latmax': numpy.max(slats) + padlat,
'lonmin': numpy.min(slons) - padlon,
'lonmax': numpy.max(slons) + padlon,
'sym': 'ro',
'boundinglat': 0.,
'pltgrid': 1.
}
Opts['lon_0'] = 0.5 * (numpy.min(slons) + numpy.max(slons))
Opts['lat_0'] = 0.5 * (numpy.min(slats) + numpy.max(slats))
Opts['names'] = names
Opts['gridspace'] = gridspace
Opts['details'] = {
'coasts': 1,
'rivers': 1,
'states': 1,
'countries': 1,
'ocean': 0
}
if ocean == 1: Opts['details']['ocean'] = 1
if rivers == 1: Opts['details']['rivers'] = 0
if boundaries == 1:
Opts['details']['states'] = 0
Opts['details']['countries'] = 0
Opts['details']['fancy'] = fancy
pmagplotlib.plotMAP(FIG['map'], lats, lons, Opts)
if verbose: pmagplotlib.drawFIGS(FIG)
files = {}
for key in list(FIG.keys()):
files[key] = 'Site_map' + '.' + fmt
if pmagplotlib.isServer:
black = '#000000'
purple = '#800080'
titles = {}
titles['map'] = 'Site Map'
FIG = pmagplotlib.addBorders(FIG, titles, black, purple)
pmagplotlib.saveP(FIG, files)
elif verbose:
ans = input(" S[a]ve to save plot, Return to quit: ")
if ans == "a":
pmagplotlib.saveP(FIG, files)
else:
pmagplotlib.saveP(FIG, files)
def main():
"""
NAME
vgpmap_magic.py
DESCRIPTION
makes a map of vgps and a95/dp,dm for site means in a sites table
SYNTAX
vgpmap_magic.py [command line options]
OPTIONS
-h prints help and quits
-eye ELAT ELON [specify eyeball location], default is 90., 0.
-f FILE sites format file, [default is sites.txt]
-res [c,l,i,h] specify resolution (crude, low, intermediate, high]
-etp plot the etopo20 topographpy data (requires high resolution data set)
-prj PROJ, specify one of the following:
ortho = orthographic
lcc = lambert conformal
moll = molweide
merc = mercator
-sym SYM SIZE: choose a symbol and size, examples:
ro 5 : small red circles
bs 10 : intermediate blue squares
g^ 20 : large green triangles
-ell plot dp/dm or a95 ellipses
-rev RSYM RSIZE : flip reverse poles to normal antipode
-S: plot antipodes of all poles
-age : plot the ages next to the poles
-crd [g,t] : choose coordinate system, default is to plot all site VGPs
-fmt [pdf, png, eps...] specify output format, default is pdf
-sav save and quit
DEFAULTS
FILE: pmag_results.txt
res: c
prj: ortho
ELAT,ELON = 0,0
SYM SIZE: ro 8
RSYM RSIZE: g^ 8
"""
if "-h" in sys.argv:
print main.__doc__
sys.exit()
dir_path = pmag.get_named_arg_from_sys("-WD", ".")
# plot: default is 0, if -sav in sys.argv should be 1
plot = pmag.get_flag_arg_from_sys("-sav", true=1, false=0)
fmt = pmag.get_named_arg_from_sys("-fmt", "pdf")
res = pmag.get_named_arg_from_sys("-res", "c")
proj = pmag.get_named_arg_from_sys("-prj", "ortho")
anti = pmag.get_flag_arg_from_sys("-S", true=1, false=0)
fancy = pmag.get_flag_arg_from_sys("-etp", true=1, false=0)
ell = pmag.get_flag_arg_from_sys("-ell", true=1, false=0)
ages = pmag.get_flag_arg_from_sys("-age", true=1, false=0)
if "-rev" in sys.argv:
flip = 1
ind = sys.argv.index("-rev")
rsym = sys.argv[ind + 1]
rsize = int(sys.argv[ind + 2])
else:
flip, rsym, rsize = 0, "g^", 8
if "-sym" in sys.argv:
ind = sys.argv.index("-sym")
sym = sys.argv[ind + 1]
size = int(sys.argv[ind + 2])
else:
sym, size = "ro", 8
if "-eye" in sys.argv:
ind = sys.argv.index("-eye")
lat_0 = float(sys.argv[ind + 1])
lon_0 = float(sys.argv[ind + 2])
else:
lat_0, lon_0 = 90.0, 0.0
crd = pmag.get_named_arg_from_sys("-crd", "")
coord_dict = {"g": 0, "t": 100}
coord = coord_dict[crd] if crd else ""
results_file = pmag.get_named_arg_from_sys("-f", "sites.txt")
con = nb.Contribution(dir_path, single_file=results_file)
if not con.tables.keys():
print "-W - Couldn't read in data"
return
FIG = {"map": 1}
pmagplotlib.plot_init(FIG["map"], 6, 6)
# read in er_sites file
lats, lons = [], []
Pars = []
dates, rlats, rlons = [], [], []
site_container = con.tables["sites"]
site_df = site_container.df
# use individual results
site_df = site_df[site_df["result_type"] == "i"]
# use records with vgp_lat and vgp_lon
cond1, cond2 = site_df["vgp_lat"].notnull(), site_df["vgp_lon"].notnull()
Results = site_df[cond1 & cond2]
# use tilt correction
if coord and "dir_tilt_correction" in Results.columns:
Results = Results[Results["dir_tilt_correction"] == coord]
# get location name and average ages
location = ":".join(Results["location"].unique())
if "average_age" in Results.columns and ages == 1:
dates = Results["average_age"].unique()
# go through rows and extract data
for ind, row in Results.iterrows():
lat, lon = float(row["vgp_lat"]), float(row["vgp_lon"])
if anti == 1:
lats.append(-lat)
lon = lon + 180.0
if lon > 360:
lon = lon - 360.0
lons.append(lon)
elif flip == 0:
lats.append(lat)
lons.append(lon)
elif flip == 1:
if lat < 0:
rlats.append(-lat)
lon = lon + 180.0
if lon > 360:
lon = lon - 360
rlons.append(lon)
else:
lats.append(lat)
lons.append(lon)
ppars = []
ppars.append(lon)
ppars.append(lat)
ell1, ell2 = "", ""
if "vgp_dm" in row.keys() and row["vgp_dm"]:
ell1 = float(row["vgp_dm"])
if "vgp_dp" in row.keys() and row["vgp_dp"]:
ell2 = float(row["vgp_dp"])
if "vgp_alpha95" in row.keys() and row["vgp_alpha95"].notnull():
ell1, ell2 = float(row["vgp_alpha95"]), float(row["vgp_alpha95"])
if ell1 and ell2:
ppars = []
ppars.append(lons[-1])
ppars.append(lats[-1])
ppars.append(ell1)
ppars.append(lons[-1])
isign = abs(lats[-1]) / lats[-1]
ppars.append(lats[-1] - isign * 90.0)
ppars.append(ell2)
ppars.append(lons[-1] + 90.0)
ppars.append(0.0)
Pars.append(ppars)
location = location.strip(":")
Opts = {
"latmin": -90,
"latmax": 90,
"lonmin": 0.0,
"lonmax": 360.0,
"lat_0": lat_0,
"lon_0": lon_0,
"proj": proj,
"sym": "bs",
"symsize": 3,
"pltgrid": 0,
"res": res,
"boundinglat": 0.0,
}
Opts["details"] = {"coasts": 1, "rivers": 0, "states": 0, "countries": 0, "ocean": 1, "fancy": fancy}
# make the base map with a blue triangle at the pole
pmagplotlib.plotMAP(FIG["map"], [90.0], [0.0], Opts)
Opts["pltgrid"] = -1
Opts["sym"] = sym
Opts["symsize"] = size
if len(dates) > 0:
Opts["names"] = dates
if len(lats) > 0:
# add the lats and lons of the poles
pmagplotlib.plotMAP(FIG["map"], lats, lons, Opts)
Opts["names"] = []
if len(rlats) > 0:
Opts["sym"] = rsym
Opts["symsize"] = rsize
# add the lats and lons of the poles
pmagplotlib.plotMAP(FIG["map"], rlats, rlons, Opts)
if plot == 0:
pmagplotlib.drawFIGS(FIG)
if ell == 1: # add ellipses if desired.
Opts["details"] = {"coasts": 0, "rivers": 0, "states": 0, "countries": 0, "ocean": 0, "fancy": fancy}
Opts["pltgrid"] = -1 # turn off meridian replotting
Opts["symsize"] = 2
Opts["sym"] = "g-"
for ppars in Pars:
if ppars[2] != 0:
PTS = pmagplotlib.plotELL(FIG["map"], ppars, "g.", 0, 0)
elats, elons = [], []
for pt in PTS:
elons.append(pt[0])
elats.append(pt[1])
# make the base map with a blue triangle at the pole
pmagplotlib.plotMAP(FIG["map"], elats, elons, Opts)
if plot == 0:
pmagplotlib.drawFIGS(FIG)
files = {}
for key in FIG.keys():
files[key] = "LO:_" + location + "_VGP_map." + fmt
if pmagplotlib.isServer:
black = "#000000"
purple = "#800080"
titles = {}
titles["eq"] = "LO:_" + location + "_VGP_map"
FIG = pmagplotlib.addBorders(FIG, titles, black, purple)
pmagplotlib.saveP(FIG, files)
elif plot == 0:
pmagplotlib.drawFIGS(FIG)
ans = raw_input(" S[a]ve to save plot, Return to quit: ")
if ans == "a":
pmagplotlib.saveP(FIG, files)
else:
print "Good bye"
sys.exit()
else:
pmagplotlib.saveP(FIG, files)
def main():
"""
NAME
vgpmap_magic.py
DESCRIPTION
makes a map of vgps and a95/dp,dm for site means in a sites table
SYNTAX
vgpmap_magic.py [command line options]
OPTIONS
-h prints help and quits
-eye ELAT ELON [specify eyeball location], default is 90., 0.
-f FILE sites format file, [default is sites.txt]
-res [c,l,i,h] specify resolution (crude, low, intermediate, high]
-etp plot the etopo20 topographpy data (requires high resolution data set)
-prj PROJ, specify one of the following:
ortho = orthographic
lcc = lambert conformal
moll = molweide
merc = mercator
-sym SYM SIZE: choose a symbol and size, examples:
ro 5 : small red circles
bs 10 : intermediate blue squares
g^ 20 : large green triangles
-ell plot dp/dm or a95 ellipses
-rev RSYM RSIZE : flip reverse poles to normal antipode
-S: plot antipodes of all poles
-age : plot the ages next to the poles
-crd [g,t] : choose coordinate system, default is to plot all site VGPs
-fmt [pdf, png, eps...] specify output format, default is pdf
-sav save and quit
DEFAULTS
FILE: pmag_results.txt
res: c
prj: ortho
ELAT,ELON = 0,0
SYM SIZE: ro 8
RSYM RSIZE: g^ 8
"""
if '-h' in sys.argv:
print(main.__doc__)
sys.exit()
dir_path = pmag.get_named_arg_from_sys("-WD", ".")
# plot: default is 0, if -sav in sys.argv should be 1
plot = pmag.get_flag_arg_from_sys("-sav", true=1, false=0)
fmt = pmag.get_named_arg_from_sys("-fmt", "pdf")
res = pmag.get_named_arg_from_sys("-res", "c")
proj = pmag.get_named_arg_from_sys("-prj", "ortho")
anti = pmag.get_flag_arg_from_sys("-S", true=1, false=0)
fancy = pmag.get_flag_arg_from_sys("-etp", true=1, false=0)
ell = pmag.get_flag_arg_from_sys("-ell", true=1, false=0)
ages = pmag.get_flag_arg_from_sys("-age", true=1, false=0)
if '-rev' in sys.argv:
flip = 1
ind = sys.argv.index('-rev')
rsym = (sys.argv[ind + 1])
rsize = int(sys.argv[ind + 2])
else:
flip, rsym, rsize = 0, "g^", 8
if '-sym' in sys.argv:
ind = sys.argv.index('-sym')
sym = (sys.argv[ind + 1])
size = int(sys.argv[ind + 2])
else:
sym, size = 'ro', 8
if '-eye' in sys.argv:
ind = sys.argv.index('-eye')
lat_0 = float(sys.argv[ind + 1])
lon_0 = float(sys.argv[ind + 2])
else:
lat_0, lon_0 = 90., 0.
crd = pmag.get_named_arg_from_sys("-crd", "")
coord_dict = {'g': 0, 't': 100}
coord = coord_dict[crd] if crd else ""
results_file = pmag.get_named_arg_from_sys("-f", "sites.txt")
con = nb.Contribution(dir_path, single_file=results_file)
if not list(con.tables.keys()):
print("-W - Couldn't read in data")
return
FIG = {'map': 1}
pmagplotlib.plot_init(FIG['map'], 6, 6)
# read in er_sites file
lats, lons = [], []
Pars = []
dates, rlats, rlons = [], [], []
site_container = con.tables['sites']
site_df = site_container.df
# use individual results
site_df = site_df[site_df['result_type'] == 'i']
# use records with vgp_lat and vgp_lon
cond1, cond2 = site_df['vgp_lat'].notnull(), site_df['vgp_lon'].notnull()
Results = site_df[cond1 & cond2]
# use tilt correction
if coord and 'dir_tilt_correction' in Results.columns:
Results = Results[Results['dir_tilt_correction'] == coord]
# get location name and average ages
location = ":".join(Results['location'].unique())
if 'average_age' in Results.columns and ages == 1:
dates = Results['average_age'].unique()
# go through rows and extract data
for ind, row in Results.iterrows():
lat, lon = float(row['vgp_lat']), float(row['vgp_lon'])
if anti == 1:
lats.append(-lat)
lon = lon + 180.
if lon > 360:
lon = lon - 360.
lons.append(lon)
elif flip == 0:
lats.append(lat)
lons.append(lon)
elif flip == 1:
if lat < 0:
rlats.append(-lat)
lon = lon + 180.
if lon > 360:
lon = lon - 360
rlons.append(lon)
else:
lats.append(lat)
lons.append(lon)
ppars = []
ppars.append(lon)
ppars.append(lat)
ell1, ell2 = "", ""
if 'vgp_dm' in list(row.keys()) and row['vgp_dm']:
ell1 = float(row['vgp_dm'])
if 'vgp_dp' in list(row.keys()) and row['vgp_dp']:
ell2 = float(row['vgp_dp'])
if 'vgp_alpha95' in list(row.keys()) and row['vgp_alpha95'].notnull():
ell1, ell2 = float(row['vgp_alpha95']), float(row['vgp_alpha95'])
if ell1 and ell2:
ppars = []
ppars.append(lons[-1])
ppars.append(lats[-1])
ppars.append(ell1)
ppars.append(lons[-1])
isign = old_div(abs(lats[-1]), lats[-1])
ppars.append(lats[-1] - isign * 90.)
ppars.append(ell2)
ppars.append(lons[-1] + 90.)
ppars.append(0.)
Pars.append(ppars)
location = location.strip(':')
Opts = {'latmin': -90, 'latmax': 90, 'lonmin': 0., 'lonmax': 360.,
'lat_0': lat_0, 'lon_0': lon_0, 'proj': proj, 'sym': 'bs',
'symsize': 3, 'pltgrid': 0, 'res': res, 'boundinglat': 0.}
Opts['details'] = {'coasts': 1, 'rivers': 0, 'states': 0,
'countries': 0, 'ocean': 1, 'fancy': fancy}
# make the base map with a blue triangle at the pole
pmagplotlib.plotMAP(FIG['map'], [90.], [0.], Opts)
Opts['pltgrid'] = -1
Opts['sym'] = sym
Opts['symsize'] = size
if len(dates) > 0:
Opts['names'] = dates
if len(lats) > 0:
# add the lats and lons of the poles
pmagplotlib.plotMAP(FIG['map'], lats, lons, Opts)
Opts['names'] = []
if len(rlats) > 0:
Opts['sym'] = rsym
Opts['symsize'] = rsize
# add the lats and lons of the poles
pmagplotlib.plotMAP(FIG['map'], rlats, rlons, Opts)
if plot == 0:
pmagplotlib.drawFIGS(FIG)
if ell == 1: # add ellipses if desired.
Opts['details'] = {'coasts': 0, 'rivers': 0, 'states': 0,
'countries': 0, 'ocean': 0, 'fancy': fancy}
Opts['pltgrid'] = -1 # turn off meridian replotting
Opts['symsize'] = 2
Opts['sym'] = 'g-'
for ppars in Pars:
if ppars[2] != 0:
PTS = pmagplotlib.plotELL(FIG['map'], ppars, 'g.', 0, 0)
elats, elons = [], []
for pt in PTS:
elons.append(pt[0])
elats.append(pt[1])
# make the base map with a blue triangle at the pole
pmagplotlib.plotMAP(FIG['map'], elats, elons, Opts)
if plot == 0:
pmagplotlib.drawFIGS(FIG)
files = {}
for key in list(FIG.keys()):
if pmagplotlib.isServer: # use server plot naming convention
files[key] = 'LO:_' + location + '_VGP_map.' + fmt
else: # use more readable naming convention
files[key] = '{}_VGP_map.{}'.format(location, fmt)
if pmagplotlib.isServer:
black = '#000000'
purple = '#800080'
titles = {}
titles['eq'] = 'LO:_' + location + '_VGP_map'
FIG = pmagplotlib.addBorders(FIG, titles, black, purple)
pmagplotlib.saveP(FIG, files)
elif plot == 0:
pmagplotlib.drawFIGS(FIG)
ans = input(" S[a]ve to save plot, Return to quit: ")
if ans == "a":
pmagplotlib.saveP(FIG, files)
else:
print("Good bye")
sys.exit()
else:
pmagplotlib.saveP(FIG, files)
