def main():
"""
NAME
eqarea_magic.py
DESCRIPTION
makes equal area projections from declination/inclination data
SYNTAX
eqarea_magic.py [command line options]
INPUT
takes magic formatted pmag_results, pmag_sites, pmag_samples or pmag_specimens
OPTIONS
-h prints help message and quits
-f FILE: specify input magic format file from magic,default='pmag_results.txt'
supported types=[magic_measurements,pmag_specimens, pmag_samples, pmag_sites, pmag_results, magic_web]
-obj OBJ: specify level of plot [all, sit, sam, spc], default is all
-crd [s,g,t]: specify coordinate system, [s]pecimen, [g]eographic, [t]ilt adjusted
default is geographic, unspecified assumed geographic
-fmt [svg,png,jpg] format for output plots
-ell [F,K,B,Be,Bv] plot Fisher, Kent, Bingham, Bootstrap ellipses or Boostrap eigenvectors
-c plot as colour contour
-sav save plot and quit quietly
NOTE
all: entire file; sit: site; sam: sample; spc: specimen
"""
FIG = {} # plot dictionary
FIG['eqarea'] = 1 # eqarea is figure 1
in_file, plot_key, coord, crd = 'pmag_results.txt', 'all', "0", 'g'
plotE, contour = 0, 0
dir_path = '.'
fmt = 'svg'
verbose = pmagplotlib.verbose
if '-h' in sys.argv:
print main.__doc__
sys.exit()
if '-WD' in sys.argv:
ind = sys.argv.index('-WD')
dir_path = sys.argv[ind + 1]
pmagplotlib.plot_init(FIG['eqarea'], 5, 5)
if '-f' in sys.argv:
ind = sys.argv.index("-f")
in_file = dir_path + "/" + sys.argv[ind + 1]
if '-obj' in sys.argv:
ind = sys.argv.index('-obj')
plot_by = sys.argv[ind + 1]
if plot_by == 'all': plot_key = 'all'
if plot_by == 'sit': plot_key = 'er_site_name'
if plot_by == 'sam': plot_key = 'er_sample_name'
if plot_by == 'spc': plot_key = 'er_specimen_name'
if '-c' in sys.argv: contour = 1
plots = 0
if '-sav' in sys.argv:
plots = 1
verbose = 0
if '-ell' in sys.argv:
plotE = 1
ind = sys.argv.index('-ell')
ell_type = sys.argv[ind + 1]
if ell_type == 'F': dist = 'F'
if ell_type == 'K': dist = 'K'
if ell_type == 'B': dist = 'B'
if ell_type == 'Be': dist = 'BE'
if ell_type == 'Bv':
dist = 'BV'
FIG['bdirs'] = 2
pmagplotlib.plot_init(FIG['bdirs'], 5, 5)
if '-crd' in sys.argv:
ind = sys.argv.index("-crd")
crd = sys.argv[ind + 1]
if crd == 's': coord = "-1"
if crd == 'g': coord = "0"
if crd == 't': coord = "100"
if '-fmt' in sys.argv:
ind = sys.argv.index("-fmt")
fmt = sys.argv[ind + 1]
Dec_keys = ['site_dec', 'sample_dec', 'specimen_dec', 'measurement_dec', 'average_dec', 'none']
Inc_keys = ['site_inc', 'sample_inc', 'specimen_inc', 'measurement_inc', 'average_inc', 'none']
Tilt_keys = ['tilt_correction', 'site_tilt_correction', 'sample_tilt_correction', 'specimen_tilt_correction',
'none']
Dir_type_keys = ['', 'site_direction_type', 'sample_direction_type', 'specimen_direction_type']
Name_keys = ['er_specimen_name', 'er_sample_name', 'er_site_name', 'pmag_result_name']
data, file_type = pmag.magic_read(in_file)
if file_type == 'pmag_results' and plot_key != "all": plot_key = plot_key + 's' # need plural for results table
if verbose:
print len(data), ' records read from ', in_file
#
#
# find desired dec,inc data:
#
dir_type_key = ''
#
# get plotlist if not plotting all records
#
plotlist = []
if plot_key != "all":
plots = pmag.get_dictitem(data, plot_key, '', 'F')
for rec in plots:
if rec[plot_key] not in plotlist:
plotlist.append(rec[plot_key])
plotlist.sort()
else:
plotlist.append('All')
for plot in plotlist:
if verbose: print plot
DIblock = []
GCblock = []
SLblock, SPblock = [], []
title = plot
mode = 1
dec_key, inc_key, tilt_key, name_key, k = "", "", "", "", 0
if plot != "All":
odata = pmag.get_dictitem(data, plot_key, plot, 'T')
else:
odata = data # data for this obj
for dec_key in Dec_keys:
Decs = pmag.get_dictitem(odata, dec_key, '', 'F') # get all records with this dec_key not blank
if len(Decs) > 0: break
for inc_key in Inc_keys:
Incs = pmag.get_dictitem(Decs, inc_key, '', 'F') # get all records with this inc_key not blank
if len(Incs) > 0: break
for tilt_key in Tilt_keys:
if tilt_key in Incs[0].keys(): break # find the tilt_key for these records
if tilt_key == 'none': # no tilt key in data, need to fix this with fake data which will be unknown tilt
tilt_key = 'tilt_correction'
for rec in Incs: rec[tilt_key] = ''
cdata = pmag.get_dictitem(Incs, tilt_key, coord, 'T') # get all records matching specified coordinate system
if coord == '0': # geographic
udata = pmag.get_dictitem(Incs, tilt_key, '', 'T') # get all the blank records - assume geographic
if len(cdata) == 0: crd = ''
if len(udata) > 0:
for d in udata: cdata.append(d)
crd = crd + 'u'
for name_key in Name_keys:
Names = pmag.get_dictitem(cdata, name_key, '', 'F') # get all records with this name_key not blank
if len(Names) > 0: break
for dir_type_key in Dir_type_keys:
Dirs = pmag.get_dictitem(cdata, dir_type_key, '', 'F') # get all records with this direction type
if len(Dirs) > 0: break
if dir_type_key == "": dir_type_key = 'direction_type'
locations, site, sample, specimen = "", "", "", ""
for rec in cdata: # pick out the data
if 'er_location_name' in rec.keys() and rec['er_location_name'] != "" and rec[
'er_location_name'] not in locations: locations = locations + rec['er_location_name'].replace("/",
"") + "_"
if 'er_location_names' in rec.keys() and rec['er_location_names'] != "":
locs = rec['er_location_names'].split(':')
for loc in locs:
if loc not in locations: locations = locations + loc.replace("/", "") + '_'
if plot_key == 'er_site_name' or plot_key == 'er_sample_name' or plot_key == 'er_specimen_name':
site = rec['er_site_name']
if plot_key == 'er_sample_name' or plot_key == 'er_specimen_name':
sample = rec['er_sample_name']
if plot_key == 'er_specimen_name':
specimen = rec['er_specimen_name']
if plot_key == 'er_site_names' or plot_key == 'er_sample_names' or plot_key == 'er_specimen_names':
site = rec['er_site_names']
if plot_key == 'er_sample_names' or plot_key == 'er_specimen_names':
sample = rec['er_sample_names']
if plot_key == 'er_specimen_names':
specimen = rec['er_specimen_names']
if dir_type_key not in rec.keys() or rec[dir_type_key] == "": rec[dir_type_key] = 'l'
if 'magic_method_codes' not in rec.keys(): rec['magic_method_codes'] = ""
DIblock.append([float(rec[dec_key]), float(rec[inc_key])])
SLblock.append([rec[name_key], rec['magic_method_codes']])
if rec[tilt_key] == coord and rec[dir_type_key] != 'l' and rec[dec_key] != "" and rec[inc_key] != "":
GCblock.append([float(rec[dec_key]), float(rec[inc_key])])
SPblock.append([rec[name_key], rec['magic_method_codes']])
if len(DIblock) == 0 and len(GCblock) == 0:
if verbose: print "no records for plotting"
sys.exit()
if verbose:
for k in range(len(SLblock)):
print '%s %s %7.1f %7.1f' % (SLblock[k][0], SLblock[k][1], DIblock[k][0], DIblock[k][1])
for k in range(len(SPblock)):
print '%s %s %7.1f %7.1f' % (SPblock[k][0], SPblock[k][1], GCblock[k][0], GCblock[k][1])
if len(DIblock) > 0:
if contour == 0:
pmagplotlib.plotEQ(FIG['eqarea'], DIblock, title)
else:
pmagplotlib.plotEQcont(FIG['eqarea'], DIblock)
else:
pmagplotlib.plotNET(FIG['eqarea'])
if len(GCblock) > 0:
for rec in GCblock: pmagplotlib.plotC(FIG['eqarea'], rec, 90., 'g')
if plotE == 1:
ppars = pmag.doprinc(DIblock) # get principal directions
nDIs, rDIs, npars, rpars = [], [], [], []
for rec in DIblock:
angle = pmag.angle([rec[0], rec[1]], [ppars['dec'], ppars['inc']])
if angle > 90.:
rDIs.append(rec)
else:
nDIs.append(rec)
if dist == 'B': # do on whole dataset
etitle = "Bingham confidence ellipse"
bpars = pmag.dobingham(DIblock)
for key in bpars.keys():
if key != 'n' and verbose: print " ", key, '%7.1f' % (bpars[key])
if key == 'n' and verbose: print " ", key, ' %i' % (bpars[key])
npars.append(bpars['dec'])
npars.append(bpars['inc'])
npars.append(bpars['Zeta'])
npars.append(bpars['Zdec'])
npars.append(bpars['Zinc'])
npars.append(bpars['Eta'])
npars.append(bpars['Edec'])
npars.append(bpars['Einc'])
if dist == 'F':
etitle = "Fisher confidence cone"
if len(nDIs) > 2:
fpars = pmag.fisher_mean(nDIs)
for key in fpars.keys():
if key != 'n' and verbose: print " ", key, '%7.1f' % (fpars[key])
if key == 'n' and verbose: print " ", key, ' %i' % (fpars[key])
mode += 1
npars.append(fpars['dec'])
npars.append(fpars['inc'])
npars.append(fpars['alpha95']) # Beta
npars.append(fpars['dec'])
isign = abs(fpars['inc']) / fpars['inc']
npars.append(fpars['inc'] - isign * 90.) #Beta inc
npars.append(fpars['alpha95']) # gamma
npars.append(fpars['dec'] + 90.) # Beta dec
npars.append(0.) #Beta inc
if len(rDIs) > 2:
fpars = pmag.fisher_mean(rDIs)
if verbose: print "mode ", mode
for key in fpars.keys():
if key != 'n' and verbose: print " ", key, '%7.1f' % (fpars[key])
if key == 'n' and verbose: print " ", key, ' %i' % (fpars[key])
mode += 1
rpars.append(fpars['dec'])
rpars.append(fpars['inc'])
rpars.append(fpars['alpha95']) # Beta
rpars.append(fpars['dec'])
isign = abs(fpars['inc']) / fpars['inc']
rpars.append(fpars['inc'] - isign * 90.) #Beta inc
rpars.append(fpars['alpha95']) # gamma
rpars.append(fpars['dec'] + 90.) # Beta dec
rpars.append(0.) #Beta inc
if dist == 'K':
etitle = "Kent confidence ellipse"
if len(nDIs) > 3:
kpars = pmag.dokent(nDIs, len(nDIs))
if verbose: print "mode ", mode
for key in kpars.keys():
if key != 'n' and verbose: print " ", key, '%7.1f' % (kpars[key])
if key == 'n' and verbose: print " ", key, ' %i' % (kpars[key])
mode += 1
npars.append(kpars['dec'])
npars.append(kpars['inc'])
npars.append(kpars['Zeta'])
npars.append(kpars['Zdec'])
npars.append(kpars['Zinc'])
npars.append(kpars['Eta'])
npars.append(kpars['Edec'])
npars.append(kpars['Einc'])
if len(rDIs) > 3:
kpars = pmag.dokent(rDIs, len(rDIs))
if verbose: print "mode ", mode
for key in kpars.keys():
if key != 'n' and verbose: print " ", key, '%7.1f' % (kpars[key])
if key == 'n' and verbose: print " ", key, ' %i' % (kpars[key])
mode += 1
rpars.append(kpars['dec'])
rpars.append(kpars['inc'])
rpars.append(kpars['Zeta'])
rpars.append(kpars['Zdec'])
rpars.append(kpars['Zinc'])
rpars.append(kpars['Eta'])
rpars.append(kpars['Edec'])
rpars.append(kpars['Einc'])
else: # assume bootstrap
if dist == 'BE':
if len(nDIs) > 5:
BnDIs = pmag.di_boot(nDIs)
Bkpars = pmag.dokent(BnDIs, 1.)
if verbose: print "mode ", mode
for key in Bkpars.keys():
if key != 'n' and verbose: print " ", key, '%7.1f' % (Bkpars[key])
if key == 'n' and verbose: print " ", key, ' %i' % (Bkpars[key])
mode += 1
npars.append(Bkpars['dec'])
npars.append(Bkpars['inc'])
npars.append(Bkpars['Zeta'])
npars.append(Bkpars['Zdec'])
npars.append(Bkpars['Zinc'])
npars.append(Bkpars['Eta'])
npars.append(Bkpars['Edec'])
npars.append(Bkpars['Einc'])
if len(rDIs) > 5:
BrDIs = pmag.di_boot(rDIs)
Bkpars = pmag.dokent(BrDIs, 1.)
if verbose: print "mode ", mode
for key in Bkpars.keys():
if key != 'n' and verbose: print " ", key, '%7.1f' % (Bkpars[key])
if key == 'n' and verbose: print " ", key, ' %i' % (Bkpars[key])
mode += 1
rpars.append(Bkpars['dec'])
rpars.append(Bkpars['inc'])
rpars.append(Bkpars['Zeta'])
rpars.append(Bkpars['Zdec'])
rpars.append(Bkpars['Zinc'])
rpars.append(Bkpars['Eta'])
rpars.append(Bkpars['Edec'])
rpars.append(Bkpars['Einc'])
etitle = "Bootstrapped confidence ellipse"
elif dist == 'BV':
sym = {'lower': ['o', 'c'], 'upper': ['o', 'g'], 'size': 3, 'edgecolor': 'face'}
if len(nDIs) > 5:
BnDIs = pmag.di_boot(nDIs)
pmagplotlib.plotEQsym(FIG['bdirs'], BnDIs, 'Bootstrapped Eigenvectors', sym)
if len(rDIs) > 5:
BrDIs = pmag.di_boot(rDIs)
if len(nDIs) > 5: # plot on existing plots
pmagplotlib.plotDIsym(FIG['bdirs'], BrDIs, sym)
else:
pmagplotlib.plotEQ(FIG['bdirs'], BrDIs, 'Bootstrapped Eigenvectors')
if dist == 'B':
if len(nDIs) > 3 or len(rDIs) > 3: pmagplotlib.plotCONF(FIG['eqarea'], etitle, [], npars, 0)
elif len(nDIs) > 3 and dist != 'BV':
pmagplotlib.plotCONF(FIG['eqarea'], etitle, [], npars, 0)
if len(rDIs) > 3:
pmagplotlib.plotCONF(FIG['eqarea'], etitle, [], rpars, 0)
elif len(rDIs) > 3 and dist != 'BV':
pmagplotlib.plotCONF(FIG['eqarea'], etitle, [], rpars, 0)
if verbose: pmagplotlib.drawFIGS(FIG)
#
files = {}
locations = locations[:-1]
for key in FIG.keys():
filename = 'LO:_' + locations + '_SI:_' + site + '_SA:_' + sample + '_SP:_' + specimen + '_CO:_' + crd + '_TY:_' + key + '_.' + fmt
files[key] = filename
if pmagplotlib.isServer:
black = '#000000'
purple = '#800080'
titles = {}
titles['eq'] = 'Equal Area Plot'
FIG = pmagplotlib.addBorders(FIG, titles, black, purple)
pmagplotlib.saveP(FIG, files)
elif verbose:
ans = raw_input(" S[a]ve to save plot, [q]uit, Return to continue: ")
if ans == "q": sys.exit()
if ans == "a":
pmagplotlib.saveP(FIG, files)
if plots:
pmagplotlib.saveP(FIG, files)
def main():
"""
NAME
eqarea_magic.py
DESCRIPTION
makes equal area projections from declination/inclination data
SYNTAX
eqarea_magic.py [command line options]
INPUT
takes magic formatted pmag_results, pmag_sites, pmag_samples or pmag_specimens
OPTIONS
-h prints help message and quits
-f FILE: specify input magic format file from magic,default='pmag_results.txt'
supported types=[magic_measurements,pmag_specimens, pmag_samples, pmag_sites, pmag_results, magic_web]
-obj OBJ: specify level of plot [all, sit, sam, spc], default is all
-crd [s,g,t]: specify coordinate system, [s]pecimen, [g]eographic, [t]ilt adjusted
default is geographic
-fmt [svg,png,jpg] format for output plots
-ell [F,K,B,Be,Bv] plot Fisher, Kent, Bingham, Bootstrap ellipses or Boostrap eigenvectors
-c plot as colour contour
NOTE
all: entire file; sit: site; sam: sample; spc: specimen
"""
FIG={} # plot dictionary
FIG['eq']=1 # eqarea is figure 1
in_file,plot_key,coord,crd='pmag_results.txt','all',"-1",'g'
fmt,dist,mode='svg','F',1
plotE,contour=0,0
dir_path='.'
if '-h' in sys.argv:
print main.__doc__
sys.exit()
if '-WD' in sys.argv:
ind=sys.argv.index('-WD')
dir_path=sys.argv[ind+1]
pmagplotlib.plot_init(FIG['eq'],5,5)
if '-f' in sys.argv:
ind=sys.argv.index("-f")
in_file=dir_path+"/"+sys.argv[ind+1]
if '-obj' in sys.argv:
ind=sys.argv.index('-obj')
plot_by=sys.argv[ind+1]
if plot_by=='all':plot_key='all'
if plot_by=='sit':plot_key='er_site_name'
if plot_by=='sam':plot_key='er_sample_name'
if plot_by=='spc':plot_key='er_specimen_name'
if '-c' in sys.argv: contour=1
if '-ell' in sys.argv:
plotE=1
ind=sys.argv.index('-ell')
ell_type=sys.argv[ind+1]
if ell_type=='F':dist='F'
if ell_type=='K':dist='K'
if ell_type=='B':dist='B'
if ell_type=='Be':dist='BE'
if ell_type=='Bv':
dist='BV'
FIG['bdirs']=2
pmagplotlib.plot_init(FIG['bdirs'],5,5)
if '-crd' in sys.argv:
ind=sys.argv.index("-crd")
coord=sys.argv[ind+1]
if coord=='g':coord="0"
if coord=='t':coord="100"
if '-fmt' in sys.argv:
ind=sys.argv.index("-fmt")
fmt=sys.argv[ind+1]
Dec_keys=['site_dec','sample_dec','specimen_dec','measurement_dec','average_dec']
Inc_keys=['site_inc','sample_inc','specimen_inc','measurement_inc','average_inc']
Tilt_keys=['tilt_correction','site_tilt_correction','sample_tilt_correction','specimen_tilt_correction']
Dir_type_keys=['','site_direction_type','sample_direction_type','specimen_direction_type']
Name_keys=['er_specimen_name','er_sample_name','er_site_name','pmag_result_name']
data,file_type=pmag.magic_read(in_file)
if file_type=='pmag_results' and plot_key!="all":plot_key=plot_key+'s' # need plural for results table
if pmagplotlib.verbose:
print len(data),' records read from ',in_file
#
#
# find desired dec,inc data:
#
dir_type_key=''
#
# get plotlist if not plotting all records
#
plotlist=[]
if plot_key!="all":
for rec in data:
if rec[plot_key] not in plotlist:
plotlist.append(rec[plot_key])
plotlist.sort()
else:
plotlist.append('Whole file')
for plot in plotlist:
DIblock=[]
GCblock=[]
SLblock,SPblock=[],[]
tilt_key=""
mode=1
for rec in data: # find what data are available
if plot_key=='all' or rec[plot_key]==plot:
if plot_key!="all":
title=rec[plot_key]
else:
title=plot
if coord=='-1':title=title+' Specimen Coordinates'
if coord=='0':title=title+' Geographic Coordinates'
if coord=='100':title=title+' Tilt corrected Coordinates'
dec_key,inc_key,tilt_key,name_key,k="","","","",0
while dec_key=="" and k<len(Dec_keys):
if Dec_keys[k] in rec.keys() and rec[Dec_keys[k]]!="" and Inc_keys[k] in rec.keys() and rec[Inc_keys[k]]!="":
dec_key,inc_key =Dec_keys[k],Inc_keys[k]
k+=1
k=0
while tilt_key=="" and k<len(Tilt_keys):
if Tilt_keys[k] in rec.keys():tilt_key=Tilt_keys[k]
k+=1
k=0
while name_key=="" and k<len(Name_keys):
if Name_keys[k] in rec.keys():name_key=Name_keys[k]
k+=1
k=1
while dir_type_key=="" and k<len(Dir_type_keys):
if Dir_type_keys[k] in rec.keys():dir_type_key=Dir_type_keys[k]
k+=1
if dec_key!="":break
if tilt_key=="":tilt_key='-1'
if dir_type_key=="":dir_type_key='direction_type'
for rec in data: # pick out the data
if (plot_key=='all' or rec[plot_key]==plot) and rec[dec_key].strip()!="" and rec[inc_key].strip()!="":
if dir_type_key not in rec.keys() or rec[dir_type_key]=="":rec[dir_type_key]='l'
if tilt_key not in rec.keys():rec[tilt_key]='-1' # assume specimen coordinates unless otherwise specified
if coord=='-1':
DIblock.append([float(rec[dec_key]),float(rec[inc_key])])
SLblock.append([rec[name_key],rec['magic_method_codes']])
elif rec[tilt_key]==coord and rec[dir_type_key]=='l' and rec[dec_key]!="" and rec[inc_key]!="":
if rec[tilt_key]==coord and rec[dir_type_key]=='l' and rec[dec_key]!="" and rec[inc_key]!="":
DIblock.append([float(rec[dec_key]),float(rec[inc_key])])
SLblock.append([rec[name_key],rec['magic_method_codes']])
elif rec[tilt_key]==coord and rec[dir_type_key]!='l' and rec[dec_key]!="" and rec[inc_key]!="":
GCblock.append([float(rec[dec_key]),float(rec[inc_key])])
SPblock.append([rec[name_key],rec['magic_method_codes']])
if len(DIblock)==0 and len(GCblock)==0:
if pmagplotlib.verbose: print "no records for plotting"
sys.exit()
if pmagplotlib.verbose:
for k in range(len(SLblock)):
print '%s %s %7.1f %7.1f'%(SLblock[k][0],SLblock[k][1],DIblock[k][0],DIblock[k][1])
for k in range(len(SPblock)):
print '%s %s %7.1f %7.1f'%(SPblock[k][0],SPblock[k][1],GCblock[k][0],GCblock[k][1])
if len(DIblock)>0:
if contour==0:
pmagplotlib.plotEQ(FIG['eq'],DIblock,title)
else:
pmagplotlib.plotEQcont(FIG['eq'],DIblock)
else: pmagplotlib.plotNET(FIG['eq'])
if len(GCblock)>0:
for rec in GCblock: pmagplotlib.plotC(FIG['eq'],rec,90.,'g')
if plotE==1:
ppars=pmag.doprinc(DIblock) # get principal directions
nDIs,rDIs,npars,rpars=[],[],[],[]
for rec in DIblock:
angle=pmag.angle([rec[0],rec[1]],[ppars['dec'],ppars['inc']])
if angle>90.:
rDIs.append(rec)
else:
nDIs.append(rec)
if dist=='B': # do on whole dataset
etitle="Bingham confidence ellipse"
bpars=pmag.dobingham(DIblock)
for key in bpars.keys():
if key!='n' and pmagplotlib.verbose:print " ",key, '%7.1f'%(bpars[key])
if key=='n' and pmagplotlib.verbose:print " ",key, ' %i'%(bpars[key])
npars.append(bpars['dec'])
npars.append(bpars['inc'])
npars.append(bpars['Zeta'])
npars.append(bpars['Zdec'])
npars.append(bpars['Zinc'])
npars.append(bpars['Eta'])
npars.append(bpars['Edec'])
npars.append(bpars['Einc'])
if dist=='F':
etitle="Fisher confidence cone"
if len(nDIs)>2:
fpars=pmag.fisher_mean(nDIs)
for key in fpars.keys():
if key!='n' and pmagplotlib.verbose:print " ",key, '%7.1f'%(fpars[key])
if key=='n' and pmagplotlib.verbose:print " ",key, ' %i'%(fpars[key])
mode+=1
npars.append(fpars['dec'])
npars.append(fpars['inc'])
npars.append(fpars['alpha95']) # Beta
npars.append(fpars['dec'])
isign=abs(fpars['inc'])/fpars['inc']
npars.append(fpars['inc']-isign*90.) #Beta inc
npars.append(fpars['alpha95']) # gamma
npars.append(fpars['dec']+90.) # Beta dec
npars.append(0.) #Beta inc
if len(rDIs)>2:
fpars=pmag.fisher_mean(rDIs)
if pmagplotlib.verbose:print "mode ",mode
for key in fpars.keys():
if key!='n' and pmagplotlib.verbose:print " ",key, '%7.1f'%(fpars[key])
if key=='n' and pmagplotlib.verbose:print " ",key, ' %i'%(fpars[key])
mode+=1
rpars.append(fpars['dec'])
rpars.append(fpars['inc'])
rpars.append(fpars['alpha95']) # Beta
rpars.append(fpars['dec'])
isign=abs(fpars['inc'])/fpars['inc']
rpars.append(fpars['inc']-isign*90.) #Beta inc
rpars.append(fpars['alpha95']) # gamma
rpars.append(fpars['dec']+90.) # Beta dec
rpars.append(0.) #Beta inc
if dist=='K':
etitle="Kent confidence ellipse"
if len(nDIs)>3:
kpars=pmag.dokent(nDIs,len(nDIs))
if pmagplotlib.verbose:print "mode ",mode
for key in kpars.keys():
if key!='n' and pmagplotlib.verbose:print " ",key, '%7.1f'%(kpars[key])
if key=='n' and pmagplotlib.verbose:print " ",key, ' %i'%(kpars[key])
mode+=1
npars.append(kpars['dec'])
npars.append(kpars['inc'])
npars.append(kpars['Zeta'])
npars.append(kpars['Zdec'])
npars.append(kpars['Zinc'])
npars.append(kpars['Eta'])
npars.append(kpars['Edec'])
npars.append(kpars['Einc'])
if len(rDIs)>3:
kpars=pmag.dokent(rDIs,len(rDIs))
if pmagplotlib.verbose:print "mode ",mode
for key in kpars.keys():
if key!='n' and pmagplotlib.verbose:print " ",key, '%7.1f'%(kpars[key])
if key=='n' and pmagplotlib.verbose:print " ",key, ' %i'%(kpars[key])
mode+=1
rpars.append(kpars['dec'])
rpars.append(kpars['inc'])
rpars.append(kpars['Zeta'])
rpars.append(kpars['Zdec'])
rpars.append(kpars['Zinc'])
rpars.append(kpars['Eta'])
rpars.append(kpars['Edec'])
rpars.append(kpars['Einc'])
else: # assume bootstrap
if dist=='BE':
if len(nDIs)>5:
BnDIs=pmag.di_boot(nDIs)
Bkpars=pmag.dokent(BnDIs,1.)
if pmagplotlib.verbose:print "mode ",mode
for key in Bkpars.keys():
if key!='n' and pmagplotlib.verbose:print " ",key, '%7.1f'%(Bkpars[key])
if key=='n' and pmagplotlib.verbose:print " ",key, ' %i'%(Bkpars[key])
mode+=1
npars.append(Bkpars['dec'])
npars.append(Bkpars['inc'])
npars.append(Bkpars['Zeta'])
npars.append(Bkpars['Zdec'])
npars.append(Bkpars['Zinc'])
npars.append(Bkpars['Eta'])
npars.append(Bkpars['Edec'])
npars.append(Bkpars['Einc'])
if len(rDIs)>5:
BrDIs=pmag.di_boot(rDIs)
Bkpars=pmag.dokent(BrDIs,1.)
if pmagplotlib.verbose:print "mode ",mode
for key in Bkpars.keys():
if key!='n' and pmagplotlib.verbose:print " ",key, '%7.1f'%(Bkpars[key])
if key=='n' and pmagplotlib.verbose:print " ",key, ' %i'%(Bkpars[key])
mode+=1
rpars.append(Bkpars['dec'])
rpars.append(Bkpars['inc'])
rpars.append(Bkpars['Zeta'])
rpars.append(Bkpars['Zdec'])
rpars.append(Bkpars['Zinc'])
rpars.append(Bkpars['Eta'])
rpars.append(Bkpars['Edec'])
rpars.append(Bkpars['Einc'])
etitle="Bootstrapped confidence ellipse"
elif dist=='BV':
if len(nDIs)>5:
BnDIs=pmag.di_boot(nDIs)
pmagplotlib.plotEQ(FIG['bdirs'],BnDIs,'Bootstrapped Eigenvectors')
if len(rDIs)>5:
BrDIs=pmag.di_boot(rDIs)
if len(nDIs)>5: # plot on existing plots
pmagplotlib.plotDI(FIG['bdirs'],BrDIs)
else:
pmagplotlib.plotEQ(FIG['bdirs'],BrDIs,'Bootstrapped Eigenvectors')
if dist=='B':
if len(nDIs)> 3 or len(rDIs)>3: pmagplotlib.plotCONF(FIG['eq'],etitle,[],npars,0)
elif len(nDIs)>3 and dist!='BV':
pmagplotlib.plotCONF(FIG['eq'],etitle,[],npars,0)
if len(rDIs)>3:
pmagplotlib.plotCONF(FIG['eq'],etitle,[],rpars,0)
elif len(rDIs)>3 and dist!='BV':
pmagplotlib.plotCONF(FIG['eq'],etitle,[],rpars,0)
pmagplotlib.drawFIGS(FIG)
#
files={}
for key in FIG.keys():
files[key]=title.replace(" ","_")+'_'+'eqarea'+'.'+fmt
if pmagplotlib.isServer:
black = '#000000'
purple = '#800080'
titles={}
titles['eq']='Equal Area Plot'
FIG = pmagplotlib.addBorders(FIG,titles,black,purple)
pmagplotlib.saveP(FIG,files)
else:
ans=raw_input(" S[a]ve to save plot, [q]uit, Return to continue: ")
if ans=="q": sys.exit()
if ans=="a":
pmagplotlib.saveP(FIG,files)
def main():
"""
NAME
aniso_magic.py
DESCRIPTION
plots anisotropy data with either bootstrap or hext ellipses
SYNTAX
aniso_magic.py [-h] [command line options]
OPTIONS
-h plots help message and quits
-usr USER: set the user name
-f AFILE, specify rmag_anisotropy formatted file for input
-F RFILE, specify rmag_results formatted file for output
-x Hext [1963] and bootstrap
-B DON'T do bootstrap, do Hext
-par Tauxe [1998] parametric bootstrap
-v plot bootstrap eigenvectors instead of ellipses
-sit plot by site instead of entire file
-crd [s,g,t] coordinate system, default is specimen (g=geographic, t=tilt corrected)
-P don't make any plots - just make rmag_results table
-sav don't make the rmag_results table - just save all the plots
-fmt [svg, jpg, eps] format for output images, pdf default
-gtc DEC INC dec,inc of pole to great circle [down(up) in green (cyan)
-d Vi DEC INC; Vi (1,2,3) to compare to direction DEC INC
-nb N; specifies the number of bootstraps - default is 1000
DEFAULTS
AFILE: rmag_anisotropy.txt
RFILE: rmag_results.txt
plot bootstrap ellipses of Constable & Tauxe [1987]
NOTES
minor axis: circles
major axis: triangles
principal axis: squares
directions are plotted on the lower hemisphere
for bootstrapped eigenvector components: Xs: blue, Ys: red, Zs: black
"""
#
dir_path = "."
version_num = pmag.get_version()
verbose = pmagplotlib.verbose
args = sys.argv
ipar, ihext, ivec, iboot, imeas, isite, iplot, vec = 0, 0, 0, 1, 1, 0, 1, 0
hpars, bpars, PDir = [], [], []
CS, crd = "-1", "s"
nb = 1000
fmt = "pdf"
ResRecs = []
orlist = []
outfile, comp, Dir, gtcirc, PDir = "rmag_results.txt", 0, [], 0, []
infile = "rmag_anisotropy.txt"
if "-h" in args:
print main.__doc__
sys.exit()
if "-WD" in args:
ind = args.index("-WD")
dir_path = args[ind + 1]
if "-nb" in args:
ind = args.index("-nb")
nb = int(args[ind + 1])
if "-usr" in args:
ind = args.index("-usr")
user = args[ind + 1]
else:
user = ""
if "-B" in args:
iboot, ihext = 0, 1
if "-par" in args:
ipar = 1
if "-x" in args:
ihext = 1
if "-v" in args:
ivec = 1
if "-sit" in args:
isite = 1
if "-P" in args:
iplot = 0
if "-f" in args:
ind = args.index("-f")
infile = args[ind + 1]
if "-F" in args:
ind = args.index("-F")
outfile = args[ind + 1]
if "-crd" in sys.argv:
ind = sys.argv.index("-crd")
crd = sys.argv[ind + 1]
if crd == "g":
CS = "0"
if crd == "t":
CS = "100"
if "-fmt" in args:
ind = args.index("-fmt")
fmt = args[ind + 1]
if "-sav" in args:
plots = 1
verbose = 0
else:
plots = 0
if "-gtc" in args:
ind = args.index("-gtc")
d, i = float(args[ind + 1]), float(args[ind + 2])
PDir.append(d)
PDir.append(i)
if "-d" in args:
comp = 1
ind = args.index("-d")
vec = int(args[ind + 1]) - 1
Dir = [float(args[ind + 2]), float(args[ind + 3])]
#
# set up plots
#
if infile[0] != "/":
infile = dir_path + "/" + infile
if outfile[0] != "/":
outfile = dir_path + "/" + outfile
ANIS = {}
initcdf, inittcdf = 0, 0
ANIS["data"], ANIS["conf"] = 1, 2
if iboot == 1:
ANIS["tcdf"] = 3
if iplot == 1:
inittcdf = 1
pmagplotlib.plot_init(ANIS["tcdf"], 5, 5)
if comp == 1 and iplot == 1:
initcdf = 1
ANIS["vxcdf"], ANIS["vycdf"], ANIS["vzcdf"] = 4, 5, 6
pmagplotlib.plot_init(ANIS["vxcdf"], 5, 5)
pmagplotlib.plot_init(ANIS["vycdf"], 5, 5)
pmagplotlib.plot_init(ANIS["vzcdf"], 5, 5)
if iplot == 1:
pmagplotlib.plot_init(ANIS["conf"], 5, 5)
pmagplotlib.plot_init(ANIS["data"], 5, 5)
# read in the data
data, ifiletype = pmag.magic_read(infile)
for rec in data: # find all the orientation systems
if "anisotropy_tilt_correction" not in rec.keys():
rec["anisotropy_tilt_correction"] = "-1"
if rec["anisotropy_tilt_correction"] not in orlist:
orlist.append(rec["anisotropy_tilt_correction"])
if CS not in orlist:
if len(orlist) > 0:
CS = orlist[0]
else:
CS = "-1"
if CS == "-1":
crd = "s"
if CS == "0":
crd = "g"
if CS == "100":
crd = "t"
if verbose:
print "desired coordinate system not available, using available: ", crd
if isite == 1:
sitelist = []
for rec in data:
if rec["er_site_name"] not in sitelist:
sitelist.append(rec["er_site_name"])
sitelist.sort()
plt = len(sitelist)
else:
plt = 1
k = 0
while k < plt:
site = ""
sdata, Ss = [], [] # list of S format data
Locs, Sites, Samples, Specimens, Cits = [], [], [], [], []
if isite == 0:
sdata = data
else:
site = sitelist[k]
for rec in data:
if rec["er_site_name"] == site:
sdata.append(rec)
anitypes = []
csrecs = pmag.get_dictitem(sdata, "anisotropy_tilt_correction", CS, "T")
for rec in csrecs:
if rec["anisotropy_type"] not in anitypes:
anitypes.append(rec["anisotropy_type"])
if rec["er_location_name"] not in Locs:
Locs.append(rec["er_location_name"])
if rec["er_site_name"] not in Sites:
Sites.append(rec["er_site_name"])
if rec["er_sample_name"] not in Samples:
Samples.append(rec["er_sample_name"])
if rec["er_specimen_name"] not in Specimens:
Specimens.append(rec["er_specimen_name"])
if rec["er_citation_names"] not in Cits:
Cits.append(rec["er_citation_names"])
s = []
s.append(float(rec["anisotropy_s1"]))
s.append(float(rec["anisotropy_s2"]))
s.append(float(rec["anisotropy_s3"]))
s.append(float(rec["anisotropy_s4"]))
s.append(float(rec["anisotropy_s5"]))
s.append(float(rec["anisotropy_s6"]))
if s[0] <= 1.0:
Ss.append(s) # protect against crap
# tau,Vdirs=pmag.doseigs(s)
fpars = pmag.dohext(int(rec["anisotropy_n"]) - 6, float(rec["anisotropy_sigma"]), s)
ResRec = {}
ResRec["er_location_names"] = rec["er_location_name"]
ResRec["er_citation_names"] = rec["er_citation_names"]
ResRec["er_site_names"] = rec["er_site_name"]
ResRec["er_sample_names"] = rec["er_sample_name"]
ResRec["er_specimen_names"] = rec["er_specimen_name"]
ResRec["rmag_result_name"] = rec["er_specimen_name"] + ":" + rec["anisotropy_type"]
ResRec["er_analyst_mail_names"] = user
ResRec["tilt_correction"] = CS
ResRec["anisotropy_type"] = rec["anisotropy_type"]
ResRec["anisotropy_v1_dec"] = "%7.1f" % (fpars["v1_dec"])
ResRec["anisotropy_v2_dec"] = "%7.1f" % (fpars["v2_dec"])
ResRec["anisotropy_v3_dec"] = "%7.1f" % (fpars["v3_dec"])
ResRec["anisotropy_v1_inc"] = "%7.1f" % (fpars["v1_inc"])
ResRec["anisotropy_v2_inc"] = "%7.1f" % (fpars["v2_inc"])
ResRec["anisotropy_v3_inc"] = "%7.1f" % (fpars["v3_inc"])
ResRec["anisotropy_t1"] = "%10.8f" % (fpars["t1"])
ResRec["anisotropy_t2"] = "%10.8f" % (fpars["t2"])
ResRec["anisotropy_t3"] = "%10.8f" % (fpars["t3"])
ResRec["anisotropy_ftest"] = "%10.3f" % (fpars["F"])
ResRec["anisotropy_ftest12"] = "%10.3f" % (fpars["F12"])
ResRec["anisotropy_ftest23"] = "%10.3f" % (fpars["F23"])
ResRec["result_description"] = "F_crit: " + fpars["F_crit"] + "; F12,F23_crit: " + fpars["F12_crit"]
ResRec["anisotropy_type"] = pmag.makelist(anitypes)
ResRecs.append(ResRec)
if len(Ss) > 1:
title = "LO:_" + ResRec["er_location_names"] + "_SI:_" + site + "_SA:__SP:__CO:_" + crd
ResRec["er_location_names"] = pmag.makelist(Locs)
bpars, hpars = pmagplotlib.plotANIS(ANIS, Ss, iboot, ihext, ivec, ipar, title, iplot, comp, vec, Dir, nb)
if len(PDir) > 0:
pmagplotlib.plotC(ANIS["data"], PDir, 90.0, "g")
pmagplotlib.plotC(ANIS["conf"], PDir, 90.0, "g")
if verbose and plots == 0:
pmagplotlib.drawFIGS(ANIS)
ResRec["er_location_names"] = pmag.makelist(Locs)
if plots == 1:
save(ANIS, fmt, title)
ResRec = {}
ResRec["er_citation_names"] = pmag.makelist(Cits)
ResRec["er_location_names"] = pmag.makelist(Locs)
ResRec["er_site_names"] = pmag.makelist(Sites)
ResRec["er_sample_names"] = pmag.makelist(Samples)
ResRec["er_specimen_names"] = pmag.makelist(Specimens)
ResRec["rmag_result_name"] = pmag.makelist(Sites) + ":" + pmag.makelist(anitypes)
ResRec["anisotropy_type"] = pmag.makelist(anitypes)
ResRec["er_analyst_mail_names"] = user
ResRec["tilt_correction"] = CS
if isite == "0":
ResRec["result_description"] = "Study average using coordinate system: " + CS
if isite == "1":
ResRec["result_description"] = "Site average using coordinate system: " + CS
if hpars != [] and ihext == 1:
HextRec = {}
for key in ResRec.keys():
HextRec[key] = ResRec[key] # copy over stuff
HextRec["anisotropy_v1_dec"] = "%7.1f" % (hpars["v1_dec"])
HextRec["anisotropy_v2_dec"] = "%7.1f" % (hpars["v2_dec"])
HextRec["anisotropy_v3_dec"] = "%7.1f" % (hpars["v3_dec"])
HextRec["anisotropy_v1_inc"] = "%7.1f" % (hpars["v1_inc"])
HextRec["anisotropy_v2_inc"] = "%7.1f" % (hpars["v2_inc"])
HextRec["anisotropy_v3_inc"] = "%7.1f" % (hpars["v3_inc"])
HextRec["anisotropy_t1"] = "%10.8f" % (hpars["t1"])
HextRec["anisotropy_t2"] = "%10.8f" % (hpars["t2"])
HextRec["anisotropy_t3"] = "%10.8f" % (hpars["t3"])
HextRec["anisotropy_hext_F"] = "%7.1f " % (hpars["F"])
HextRec["anisotropy_hext_F12"] = "%7.1f " % (hpars["F12"])
HextRec["anisotropy_hext_F23"] = "%7.1f " % (hpars["F23"])
HextRec["anisotropy_v1_eta_semi_angle"] = "%7.1f " % (hpars["e12"])
HextRec["anisotropy_v1_eta_dec"] = "%7.1f " % (hpars["v2_dec"])
HextRec["anisotropy_v1_eta_inc"] = "%7.1f " % (hpars["v2_inc"])
HextRec["anisotropy_v1_zeta_semi_angle"] = "%7.1f " % (hpars["e13"])
HextRec["anisotropy_v1_zeta_dec"] = "%7.1f " % (hpars["v3_dec"])
HextRec["anisotropy_v1_zeta_inc"] = "%7.1f " % (hpars["v3_inc"])
HextRec["anisotropy_v2_eta_semi_angle"] = "%7.1f " % (hpars["e12"])
HextRec["anisotropy_v2_eta_dec"] = "%7.1f " % (hpars["v1_dec"])
HextRec["anisotropy_v2_eta_inc"] = "%7.1f " % (hpars["v1_inc"])
HextRec["anisotropy_v2_zeta_semi_angle"] = "%7.1f " % (hpars["e23"])
HextRec["anisotropy_v2_zeta_dec"] = "%7.1f " % (hpars["v3_dec"])
HextRec["anisotropy_v2_zeta_inc"] = "%7.1f " % (hpars["v3_inc"])
HextRec["anisotropy_v3_eta_semi_angle"] = "%7.1f " % (hpars["e12"])
HextRec["anisotropy_v3_eta_dec"] = "%7.1f " % (hpars["v1_dec"])
HextRec["anisotropy_v3_eta_inc"] = "%7.1f " % (hpars["v1_inc"])
HextRec["anisotropy_v3_zeta_semi_angle"] = "%7.1f " % (hpars["e23"])
HextRec["anisotropy_v3_zeta_dec"] = "%7.1f " % (hpars["v2_dec"])
HextRec["anisotropy_v3_zeta_inc"] = "%7.1f " % (hpars["v2_inc"])
HextRec["magic_method_codes"] = "LP-AN:AE-H"
if verbose:
print "Hext Statistics: "
print " tau_i, V_i_D, V_i_I, V_i_zeta, V_i_zeta_D, V_i_zeta_I, V_i_eta, V_i_eta_D, V_i_eta_I"
print HextRec["anisotropy_t1"], HextRec["anisotropy_v1_dec"], HextRec["anisotropy_v1_inc"], HextRec[
"anisotropy_v1_eta_semi_angle"
], HextRec["anisotropy_v1_eta_dec"], HextRec["anisotropy_v1_eta_inc"], HextRec[
"anisotropy_v1_zeta_semi_angle"
], HextRec[
"anisotropy_v1_zeta_dec"
], HextRec[
"anisotropy_v1_zeta_inc"
]
print HextRec["anisotropy_t2"], HextRec["anisotropy_v2_dec"], HextRec["anisotropy_v2_inc"], HextRec[
"anisotropy_v2_eta_semi_angle"
], HextRec["anisotropy_v2_eta_dec"], HextRec["anisotropy_v2_eta_inc"], HextRec[
"anisotropy_v2_zeta_semi_angle"
], HextRec[
"anisotropy_v2_zeta_dec"
], HextRec[
"anisotropy_v2_zeta_inc"
]
print HextRec["anisotropy_t3"], HextRec["anisotropy_v3_dec"], HextRec["anisotropy_v3_inc"], HextRec[
"anisotropy_v3_eta_semi_angle"
], HextRec["anisotropy_v3_eta_dec"], HextRec["anisotropy_v3_eta_inc"], HextRec[
"anisotropy_v3_zeta_semi_angle"
], HextRec[
"anisotropy_v3_zeta_dec"
], HextRec[
"anisotropy_v3_zeta_inc"
]
HextRec["magic_software_packages"] = version_num
ResRecs.append(HextRec)
if bpars != []:
BootRec = {}
for key in ResRec.keys():
BootRec[key] = ResRec[key] # copy over stuff
BootRec["anisotropy_v1_dec"] = "%7.1f" % (bpars["v1_dec"])
BootRec["anisotropy_v2_dec"] = "%7.1f" % (bpars["v2_dec"])
BootRec["anisotropy_v3_dec"] = "%7.1f" % (bpars["v3_dec"])
BootRec["anisotropy_v1_inc"] = "%7.1f" % (bpars["v1_inc"])
BootRec["anisotropy_v2_inc"] = "%7.1f" % (bpars["v2_inc"])
BootRec["anisotropy_v3_inc"] = "%7.1f" % (bpars["v3_inc"])
BootRec["anisotropy_t1"] = "%10.8f" % (bpars["t1"])
BootRec["anisotropy_t2"] = "%10.8f" % (bpars["t2"])
BootRec["anisotropy_t3"] = "%10.8f" % (bpars["t3"])
BootRec["anisotropy_v1_eta_inc"] = "%7.1f " % (bpars["v1_eta_inc"])
BootRec["anisotropy_v1_eta_dec"] = "%7.1f " % (bpars["v1_eta_dec"])
BootRec["anisotropy_v1_eta_semi_angle"] = "%7.1f " % (bpars["v1_eta"])
BootRec["anisotropy_v1_zeta_inc"] = "%7.1f " % (bpars["v1_zeta_inc"])
BootRec["anisotropy_v1_zeta_dec"] = "%7.1f " % (bpars["v1_zeta_dec"])
BootRec["anisotropy_v1_zeta_semi_angle"] = "%7.1f " % (bpars["v1_zeta"])
BootRec["anisotropy_v2_eta_inc"] = "%7.1f " % (bpars["v2_eta_inc"])
BootRec["anisotropy_v2_eta_dec"] = "%7.1f " % (bpars["v2_eta_dec"])
BootRec["anisotropy_v2_eta_semi_angle"] = "%7.1f " % (bpars["v2_eta"])
BootRec["anisotropy_v2_zeta_inc"] = "%7.1f " % (bpars["v2_zeta_inc"])
BootRec["anisotropy_v2_zeta_dec"] = "%7.1f " % (bpars["v2_zeta_dec"])
BootRec["anisotropy_v2_zeta_semi_angle"] = "%7.1f " % (bpars["v2_zeta"])
BootRec["anisotropy_v3_eta_inc"] = "%7.1f " % (bpars["v3_eta_inc"])
BootRec["anisotropy_v3_eta_dec"] = "%7.1f " % (bpars["v3_eta_dec"])
BootRec["anisotropy_v3_eta_semi_angle"] = "%7.1f " % (bpars["v3_eta"])
BootRec["anisotropy_v3_zeta_inc"] = "%7.1f " % (bpars["v3_zeta_inc"])
BootRec["anisotropy_v3_zeta_dec"] = "%7.1f " % (bpars["v3_zeta_dec"])
BootRec["anisotropy_v3_zeta_semi_angle"] = "%7.1f " % (bpars["v3_zeta"])
BootRec["anisotropy_hext_F"] = ""
BootRec["anisotropy_hext_F12"] = ""
BootRec["anisotropy_hext_F23"] = ""
BootRec["magic_method_codes"] = "LP-AN:AE-H:AE-BS" # regular bootstrap
if ipar == 1:
BootRec["magic_method_codes"] = "LP-AN:AE-H:AE-BS-P" # parametric bootstrap
if verbose:
print "Boostrap Statistics: "
print " tau_i, V_i_D, V_i_I, V_i_zeta, V_i_zeta_D, V_i_zeta_I, V_i_eta, V_i_eta_D, V_i_eta_I"
print BootRec["anisotropy_t1"], BootRec["anisotropy_v1_dec"], BootRec["anisotropy_v1_inc"], BootRec[
"anisotropy_v1_eta_semi_angle"
], BootRec["anisotropy_v1_eta_dec"], BootRec["anisotropy_v1_eta_inc"], BootRec[
"anisotropy_v1_zeta_semi_angle"
], BootRec[
"anisotropy_v1_zeta_dec"
], BootRec[
"anisotropy_v1_zeta_inc"
]
print BootRec["anisotropy_t2"], BootRec["anisotropy_v2_dec"], BootRec["anisotropy_v2_inc"], BootRec[
"anisotropy_v2_eta_semi_angle"
], BootRec["anisotropy_v2_eta_dec"], BootRec["anisotropy_v2_eta_inc"], BootRec[
"anisotropy_v2_zeta_semi_angle"
], BootRec[
"anisotropy_v2_zeta_dec"
], BootRec[
"anisotropy_v2_zeta_inc"
]
print BootRec["anisotropy_t3"], BootRec["anisotropy_v3_dec"], BootRec["anisotropy_v3_inc"], BootRec[
"anisotropy_v3_eta_semi_angle"
], BootRec["anisotropy_v3_eta_dec"], BootRec["anisotropy_v3_eta_inc"], BootRec[
"anisotropy_v3_zeta_semi_angle"
], BootRec[
"anisotropy_v3_zeta_dec"
], BootRec[
"anisotropy_v3_zeta_inc"
]
BootRec["magic_software_packages"] = version_num
ResRecs.append(BootRec)
k += 1
goon = 1
while goon == 1 and iplot == 1 and verbose:
if iboot == 1:
print "compare with [d]irection "
print " plot [g]reat circle, change [c]oord. system, change [e]llipse calculation, s[a]ve plots, [q]uit "
if isite == 1:
print " [p]revious, [s]ite, [q]uit, <return> for next "
ans = raw_input("")
if ans == "q":
sys.exit()
if ans == "e":
iboot, ipar, ihext, ivec = 1, 0, 0, 0
e = raw_input("Do Hext Statistics 1/[0]: ")
if e == "1":
ihext = 1
e = raw_input("Suppress bootstrap 1/[0]: ")
if e == "1":
iboot = 0
if iboot == 1:
e = raw_input("Parametric bootstrap 1/[0]: ")
if e == "1":
ipar = 1
e = raw_input("Plot bootstrap eigenvectors: 1/[0]: ")
if e == "1":
ivec = 1
if iplot == 1:
if inittcdf == 0:
ANIS["tcdf"] = 3
pmagplotlib.plot_init(ANIS["tcdf"], 5, 5)
inittcdf = 1
bpars, hpars = pmagplotlib.plotANIS(
ANIS, Ss, iboot, ihext, ivec, ipar, title, iplot, comp, vec, Dir, nb
)
if verbose and plots == 0:
pmagplotlib.drawFIGS(ANIS)
if ans == "c":
print "Current Coordinate system is: "
if CS == "-1":
print " Specimen"
if CS == "0":
print " Geographic"
if CS == "100":
print " Tilt corrected"
key = raw_input(" Enter desired coordinate system: [s]pecimen, [g]eographic, [t]ilt corrected ")
if key == "s":
CS = "-1"
if key == "g":
CS = "0"
if key == "t":
CS = "100"
if CS not in orlist:
if len(orlist) > 0:
CS = orlist[0]
else:
CS = "-1"
if CS == "-1":
crd = "s"
if CS == "0":
crd = "g"
if CS == "100":
crd = "t"
print "desired coordinate system not available, using available: ", crd
k -= 1
goon = 0
if ans == "":
if isite == 1:
goon = 0
else:
print "Good bye "
sys.exit()
if ans == "d":
if initcdf == 0:
initcdf = 1
ANIS["vxcdf"], ANIS["vycdf"], ANIS["vzcdf"] = 4, 5, 6
pmagplotlib.plot_init(ANIS["vxcdf"], 5, 5)
pmagplotlib.plot_init(ANIS["vycdf"], 5, 5)
pmagplotlib.plot_init(ANIS["vzcdf"], 5, 5)
Dir, comp = [], 1
print """
Input: Vi D I to compare eigenvector Vi with direction D/I
where Vi=1: principal
Vi=2: major
Vi=3: minor
D= declination of comparison direction
I= inclination of comparison direction"""
con = 1
while con == 1:
try:
vdi = raw_input("Vi D I: ").split()
vec = int(vdi[0]) - 1
Dir = [float(vdi[1]), float(vdi[2])]
con = 0
except IndexError:
print " Incorrect entry, try again "
bpars, hpars = pmagplotlib.plotANIS(
ANIS, Ss, iboot, ihext, ivec, ipar, title, iplot, comp, vec, Dir, nb
)
Dir, comp = [], 0
if ans == "g":
con, cnt = 1, 0
while con == 1:
try:
print " Input: input pole to great circle ( D I) to plot a great circle: "
di = raw_input(" D I: ").split()
PDir.append(float(di[0]))
PDir.append(float(di[1]))
con = 0
except:
cnt += 1
if cnt < 10:
print " enter the dec and inc of the pole on one line "
else:
print "ummm - you are doing something wrong - i give up"
sys.exit()
pmagplotlib.plotC(ANIS["data"], PDir, 90.0, "g")
pmagplotlib.plotC(ANIS["conf"], PDir, 90.0, "g")
if verbose and plots == 0:
pmagplotlib.drawFIGS(ANIS)
if ans == "p":
k -= 2
goon = 0
if ans == "q":
k = plt
goon = 0
if ans == "s":
keepon = 1
site = raw_input(" print site or part of site desired: ")
while keepon == 1:
try:
k = sitelist.index(site)
keepon = 0
except:
tmplist = []
for qq in range(len(sitelist)):
if site in sitelist[qq]:
tmplist.append(sitelist[qq])
print site, " not found, but this was: "
print tmplist
site = raw_input("Select one or try again\n ")
k = sitelist.index(site)
goon, ans = 0, ""
if ans == "a":
locs = pmag.makelist(Locs)
title = "LO:_" + locs + "_SI:__" + "_SA:__SP:__CO:_" + crd
save(ANIS, fmt, title)
goon = 0
else:
if verbose:
print "skipping plot - not enough data points"
k += 1
# put rmag_results stuff here
if len(ResRecs) > 0:
ResOut, keylist = pmag.fillkeys(ResRecs)
pmag.magic_write(outfile, ResOut, "rmag_results")
if verbose:
print " Good bye "
def main():
"""
NAME
aniso_magic.py
DESCRIPTION
plots anisotropy data with either bootstrap or hext ellipses
SYNTAX
aniso_magic.py [-h] [command line options]
OPTIONS
-h plots help message and quits
-usr USER: set the user name
-f AFILE, specify rmag_anisotropy formatted file for input
-F RFILE, specify rmag_results formatted file for output
-x Hext [1963]
-B DON'T do bootstrap
-par Tauxe [1998] parametric bootstrap
-v plot bootstrap eigenvectors instead of ellipses
-sit plot by site instead of entire file
-crd [s,g,t] coordinate system, default is specimen (g=geographic, t=tilt corrected)
-P don't make any plots - just make rmag_results table
-fmt [svg, png, jpg] format for output images
DEFAULTS
AFILE: rmag_anisotropy.txt
RFILE: rmag_results.txt
plot bootstrap ellipses of Constable & Tauxe [1987]
NOTES
minor axis: circles
major axis: triangles
principal axis: squares
directions are plotted on the lower hemisphere
for bootstrapped eigenvector components: Xs: blue, Ys: red, Zs: black
"""
#
dir_path="."
version_num=pmag.get_version()
args=sys.argv
ipar,ihext,ivec,iboot,imeas,isite,iplot,vec=0,0,0,1,1,0,1,0
hpars,bpars=[],[]
CS='-1'
fmt='svg'
ResRecs=[]
orlist=[]
outfile,comp,Dir,gtcirc,PDir='rmag_results.txt',0,[],0,[]
infile='rmag_anisotropy.txt'
if "-h" in args:
print main.__doc__
sys.exit()
if '-WD' in args:
ind=args.index('-WD')
dir_path=args[ind+1]
if '-usr' in args:
ind=args.index('-usr')
user=args[ind+1]
else:
user=""
if '-B' in args:iboot=0
if '-par' in args:ipar=1
if '-x' in args:ihext=1
if '-v' in args:ivec=1
if '-sit' in args:isite=1
if '-P' in args:iplot=0
if '-f' in args:
ind=args.index('-f')
infile=args[ind+1]
if '-F' in args:
ind=args.index('-F')
outfile=args[ind+1]
if '-crd' in sys.argv:
ind=sys.argv.index('-crd')
key=sys.argv[ind+1]
if key=='g':CS='0'
if key=='t': CS='100'
if '-fmt' in args:
ind=args.index('-fmt')
fmt=args[ind+1]
#
# set up plots
#
infile=dir_path+'/'+infile
outfile=dir_path+'/'+outfile
ANIS={}
initcdf,inittcdf=0,0
ANIS['data'],ANIS['conf']=1,2
if iboot==1:
ANIS['tcdf']=3
if iplot==1:
inittcdf=1
pmagplotlib.plot_init(ANIS['tcdf'],5,5)
if comp==1:
if iplot==1:
initcdf=1
ANIS['vxcdf'],ANIS['vycdf'],ANIS['vzcdf']=4,5,6
pmagplotlib.plot_init(ANIS['vxcdf'],5,5)
pmagplotlib.plot_init(ANIS['vycdf'],5,5)
pmagplotlib.plot_init(ANIS['vzcdf'],5,5)
if iplot==1:
pmagplotlib.plot_init(ANIS['conf'],5,5)
pmagplotlib.plot_init(ANIS['data'],5,5)
# read in the data
data,ifiletype=pmag.magic_read(infile)
for rec in data: # find all the orientation systems
if 'anisotropy_tilt_correction' not in rec.keys():rec['anisotropy_tilt_correction']='-1'
if rec['anisotropy_tilt_correction'] not in orlist:
orlist.append(rec['anisotropy_tilt_correction'])
if CS not in orlist:
if len(orlist)>0:
CS=orlist[0]
else:
CS='-1'
if CS=='-1':crd='specimen'
if CS=='0':crd='geographic'
if CS=='100':crd='tilt corrected'
print "desired coordinate system not available, using available: ",crd
if isite==1:
sitelist=[]
for rec in data:
if rec['er_site_name'] not in sitelist:sitelist.append(rec['er_site_name'])
sitelist.sort()
plt=len(sitelist)
else:plt=1
k=0
while k<plt:
sdata,Ss=[],[] # list of S format data
Locs,Sites,Samples,Specimens,Cits=[],[],[],[],[]
PDir,Dir=[],[]
if isite==0:
sdata=data
title='Data'
else:
site=sitelist[k]
title=site
for rec in data:
if rec['er_site_name']==site:sdata.append(rec)
if CS=="-1":title=title+': Specimen coordinates'
if CS=="0":title=title+': Geographic coordinates'
if CS=="100":title=title+': Tilt Corrected coordinates'
anitypes=[]
for rec in sdata:
if rec["anisotropy_tilt_correction"]==CS:
if rec['anisotropy_type'] not in anitypes:anitypes.append(rec['anisotropy_type'])
if rec['er_location_name'] not in Locs:Locs.append(rec['er_location_name'])
if rec['er_site_name'] not in Sites:Sites.append(rec['er_site_name'])
if rec['er_sample_name'] not in Samples:Samples.append(rec['er_sample_name'])
if rec['er_specimen_name'] not in Specimens:Specimens.append(rec['er_specimen_name'])
if rec['er_citation_names'] not in Cits:Cits.append(rec['er_citation_names'])
s=[]
s.append(float(rec["anisotropy_s1"]))
s.append(float(rec["anisotropy_s2"]))
s.append(float(rec["anisotropy_s3"]))
s.append(float(rec["anisotropy_s4"]))
s.append(float(rec["anisotropy_s5"]))
s.append(float(rec["anisotropy_s6"]))
if s[0]<=1.0:Ss.append(s) # protect against crap
tau,Vdirs=pmag.doseigs(s)
ResRec={}
ResRec['er_location_names']=rec['er_location_name']
ResRec['er_citation_names']=rec['er_citation_names']
ResRec['er_site_names']=rec['er_site_name']
ResRec['er_sample_names']=rec['er_sample_name']
ResRec['er_specimen_names']=rec['er_specimen_name']
ResRec['rmag_result_name']=rec['er_specimen_name']+":"+rec['anisotropy_type']
ResRec["er_analyst_mail_names"]=user
ResRec["tilt_correction"]=CS
ResRec["anisotropy_v1_dec"]='%7.1f'%(Vdirs[0][0])
ResRec["anisotropy_v2_dec"]='%7.1f'%(Vdirs[1][0])
ResRec["anisotropy_v3_dec"]='%7.1f'%(Vdirs[2][0])
ResRec["anisotropy_v1_inc"]='%7.1f'%(Vdirs[0][1])
ResRec["anisotropy_v2_inc"]='%7.1f'%(Vdirs[1][1])
ResRec["anisotropy_v3_inc"]='%7.1f'%(Vdirs[2][1])
ResRec["anisotropy_t1"]='%10.8f'%(tau[0])
ResRec["anisotropy_t2"]='%10.8f'%(tau[1])
ResRec["anisotropy_t3"]='%10.8f'%(tau[2])
ResRecs.append(ResRec)
if len(Ss)>1:
bpars,hpars=pmagplotlib.plotANIS(ANIS,Ss,iboot,ihext,ivec,ipar,title,iplot,comp,vec,Dir)
if len(PDir)>0:
pmagplotlib.plotC(ANIS['data'],PDir,90.,'g')
pmagplotlib.plotC(ANIS['conf'],PDir,90.,'g')
ResRec={}
ResRec['er_location_names']=pmag.makelist(Locs)
ResRec['er_citation_names']=pmag.makelist(Cits)
ResRec['er_site_names']=pmag.makelist(Sites)
ResRec['er_sample_names']=pmag.makelist(Samples)
ResRec['er_specimen_names']=pmag.makelist(Specimens)
ResRec['rmag_result_name']=pmag.makelist(Sites)+":"+pmag.makelist(anitypes)
ResRec["er_analyst_mail_names"]=user
ResRec["tilt_correction"]=CS
if isite=="0":ResRec['result_description']="Study average using coordinate system: "+ CS
if isite=="1":ResRec['result_description']="Site average using coordinate system: " +CS
if hpars!=[] and ihext==1:
HextRec={}
for key in ResRec.keys():HextRec[key]=ResRec[key] # copy over stuff
HextRec["anisotropy_v1_dec"]='%7.1f'%(hpars["v1_dec"])
HextRec["anisotropy_v2_dec"]='%7.1f'%(hpars["v2_dec"])
HextRec["anisotropy_v3_dec"]='%7.1f'%(hpars["v3_dec"])
HextRec["anisotropy_v1_inc"]='%7.1f'%(hpars["v1_inc"])
HextRec["anisotropy_v2_inc"]='%7.1f'%(hpars["v2_inc"])
HextRec["anisotropy_v3_inc"]='%7.1f'%(hpars["v3_inc"])
HextRec["anisotropy_t1"]='%10.8f'%(hpars["t1"])
HextRec["anisotropy_t2"]='%10.8f'%(hpars["t2"])
HextRec["anisotropy_t3"]='%10.8f'%(hpars["t3"])
HextRec["anisotropy_hext_F"]='%7.1f '%(hpars["F"])
HextRec["anisotropy_hext_F12"]='%7.1f '%(hpars["F12"])
HextRec["anisotropy_hext_F23"]='%7.1f '%(hpars["F23"])
HextRec["anisotropy_v1_eta_semi_angle"]='%7.1f '%(hpars["e12"])
HextRec["anisotropy_v1_eta_dec"]='%7.1f '%(hpars["v2_dec"])
HextRec["anisotropy_v1_eta_inc"]='%7.1f '%(hpars["v2_inc"])
HextRec["anisotropy_v1_zeta_semi_angle"]='%7.1f '%(hpars["e13"])
HextRec["anisotropy_v1_zeta_dec"]='%7.1f '%(hpars["v3_dec"])
HextRec["anisotropy_v1_zeta_inc"]='%7.1f '%(hpars["v3_inc"])
HextRec["anisotropy_v2_eta_semi_angle"]='%7.1f '%(hpars["e12"])
HextRec["anisotropy_v2_eta_dec"]='%7.1f '%(hpars["v1_dec"])
HextRec["anisotropy_v2_eta_inc"]='%7.1f '%(hpars["v1_inc"])
HextRec["anisotropy_v2_zeta_semi_angle"]='%7.1f '%(hpars["e23"])
HextRec["anisotropy_v2_zeta_dec"]='%7.1f '%(hpars["v3_dec"])
HextRec["anisotropy_v2_zeta_inc"]='%7.1f '%(hpars["v3_inc"])
HextRec["anisotropy_v3_eta_semi_angle"]='%7.1f '%(hpars["e12"])
HextRec["anisotropy_v3_eta_dec"]='%7.1f '%(hpars["v1_dec"])
HextRec["anisotropy_v3_eta_inc"]='%7.1f '%(hpars["v1_inc"])
HextRec["anisotropy_v3_zeta_semi_angle"]='%7.1f '%(hpars["e23"])
HextRec["anisotropy_v3_zeta_dec"]='%7.1f '%(hpars["v2_dec"])
HextRec["anisotropy_v3_zeta_inc"]='%7.1f '%(hpars["v2_inc"])
HextRec["magic_method_codes"]='LP-AN:AE-H'
print "Hext Statistics: "
print " tau_i, V_i_D, V_i_I, V_i_zeta, V_i_zeta_D, V_i_zeta_I, V_i_eta, V_i_eta_D, V_i_eta_I"
print HextRec["anisotropy_t1"], HextRec["anisotropy_v1_dec"], HextRec["anisotropy_v1_inc"], HextRec["anisotropy_v1_eta_semi_angle"], HextRec["anisotropy_v1_eta_dec"], HextRec["anisotropy_v1_eta_inc"], HextRec["anisotropy_v1_zeta_semi_angle"], HextRec["anisotropy_v1_zeta_dec"], HextRec["anisotropy_v1_zeta_inc"]
print HextRec["anisotropy_t2"],HextRec["anisotropy_v2_dec"], HextRec["anisotropy_v2_inc"], HextRec["anisotropy_v2_eta_semi_angle"], HextRec["anisotropy_v2_eta_dec"], HextRec["anisotropy_v2_eta_inc"], HextRec["anisotropy_v2_zeta_semi_angle"], HextRec["anisotropy_v2_zeta_dec"], HextRec["anisotropy_v2_zeta_inc"]
print HextRec["anisotropy_t3"], HextRec["anisotropy_v3_dec"], HextRec["anisotropy_v3_inc"], HextRec["anisotropy_v3_eta_semi_angle"], HextRec["anisotropy_v3_eta_dec"], HextRec["anisotropy_v3_eta_inc"], HextRec["anisotropy_v3_zeta_semi_angle"], HextRec["anisotropy_v3_zeta_dec"], HextRec["anisotropy_v3_zeta_inc"]
HextRec['magic_software_packages']=version_num
ResRecs.append(HextRec)
if bpars!=[]:
BootRec={}
for key in ResRec.keys():BootRec[key]=ResRec[key] # copy over stuff
BootRec["anisotropy_v1_dec"]='%7.1f'%(bpars["v1_dec"])
BootRec["anisotropy_v2_dec"]='%7.1f'%(bpars["v2_dec"])
BootRec["anisotropy_v3_dec"]='%7.1f'%(bpars["v3_dec"])
BootRec["anisotropy_v1_inc"]='%7.1f'%(bpars["v1_inc"])
BootRec["anisotropy_v2_inc"]='%7.1f'%(bpars["v2_inc"])
BootRec["anisotropy_v3_inc"]='%7.1f'%(bpars["v3_inc"])
BootRec["anisotropy_t1"]='%10.8f'%(bpars["t1"])
BootRec["anisotropy_t2"]='%10.8f'%(bpars["t2"])
BootRec["anisotropy_t3"]='%10.8f'%(bpars["t3"])
BootRec["anisotropy_v1_eta_inc"]='%7.1f '%(bpars["v1_eta_inc"])
BootRec["anisotropy_v1_eta_dec"]='%7.1f '%(bpars["v1_eta_dec"])
BootRec["anisotropy_v1_eta_semi_angle"]='%7.1f '%(bpars["v1_eta"])
BootRec["anisotropy_v1_zeta_inc"]='%7.1f '%(bpars["v1_zeta_inc"])
BootRec["anisotropy_v1_zeta_dec"]='%7.1f '%(bpars["v1_zeta_dec"])
BootRec["anisotropy_v1_zeta_semi_angle"]='%7.1f '%(bpars["v1_zeta"])
BootRec["anisotropy_v2_eta_inc"]='%7.1f '%(bpars["v2_eta_inc"])
BootRec["anisotropy_v2_eta_dec"]='%7.1f '%(bpars["v2_eta_dec"])
BootRec["anisotropy_v2_eta_semi_angle"]='%7.1f '%(bpars["v2_eta"])
BootRec["anisotropy_v2_zeta_inc"]='%7.1f '%(bpars["v2_zeta_inc"])
BootRec["anisotropy_v2_zeta_dec"]='%7.1f '%(bpars["v2_zeta_dec"])
BootRec["anisotropy_v2_zeta_semi_angle"]='%7.1f '%(bpars["v2_zeta"])
BootRec["anisotropy_v3_eta_inc"]='%7.1f '%(bpars["v3_eta_inc"])
BootRec["anisotropy_v3_eta_dec"]='%7.1f '%(bpars["v3_eta_dec"])
BootRec["anisotropy_v3_eta_semi_angle"]='%7.1f '%(bpars["v3_eta"])
BootRec["anisotropy_v3_zeta_inc"]='%7.1f '%(bpars["v3_zeta_inc"])
BootRec["anisotropy_v3_zeta_dec"]='%7.1f '%(bpars["v3_zeta_dec"])
BootRec["anisotropy_v3_zeta_semi_angle"]='%7.1f '%(bpars["v3_zeta"])
BootRec["anisotropy_hext_F"]=''
BootRec["anisotropy_hext_F12"]=''
BootRec["anisotropy_hext_F23"]=''
BootRec["magic_method_codes"]='LP-AN:AE-H:AE-BS' # regular bootstrap
if ipar==1:BootRec["magic_method_codes"]='LP-AN:AE-H:AE-BS-P' # parametric bootstrap
print "Boostrap Statistics: "
print " tau_i, V_i_D, V_i_I, V_i_zeta, V_i_zeta_D, V_i_zeta_I, V_i_eta, V_i_eta_D, V_i_eta_I"
print BootRec["anisotropy_t1"], BootRec["anisotropy_v1_dec"], BootRec["anisotropy_v1_inc"], BootRec["anisotropy_v1_eta_semi_angle"], BootRec["anisotropy_v1_eta_dec"], BootRec["anisotropy_v1_eta_inc"], BootRec["anisotropy_v1_zeta_semi_angle"], BootRec["anisotropy_v1_zeta_dec"], BootRec["anisotropy_v1_zeta_inc"]
print BootRec["anisotropy_t2"],BootRec["anisotropy_v2_dec"], BootRec["anisotropy_v2_inc"], BootRec["anisotropy_v2_eta_semi_angle"], BootRec["anisotropy_v2_eta_dec"], BootRec["anisotropy_v2_eta_inc"], BootRec["anisotropy_v2_zeta_semi_angle"], BootRec["anisotropy_v2_zeta_dec"], BootRec["anisotropy_v2_zeta_inc"]
print BootRec["anisotropy_t3"], BootRec["anisotropy_v3_dec"], BootRec["anisotropy_v3_inc"], BootRec["anisotropy_v3_eta_semi_angle"], BootRec["anisotropy_v3_eta_dec"], BootRec["anisotropy_v3_eta_inc"], BootRec["anisotropy_v3_zeta_semi_angle"], BootRec["anisotropy_v3_zeta_dec"], BootRec["anisotropy_v3_zeta_inc"]
BootRec['magic_software_packages']=version_num
ResRecs.append(BootRec)
k+=1
goon=1
while goon==1:
if iboot==1: print "compare with [d]irection "
print " plot [g]reat circle, change [c]oord. system, change [e]llipse calculation, s[a]ve plots, [q]uit "
if isite==1: print " [p]revious, [s]ite, [q]uit, <return> for next "
ans=raw_input("")
if ans=="q":
sys.exit()
if ans=="e":
iboot,ipar,ihext,ivec=1,0,0,0
e=raw_input("Do Hext Statistics 1/[0]: ")
if e=="1":ihext=1
e=raw_input("Suppress bootstrap 1/[0]: ")
if e=="1":iboot=0
if iboot==1:
e=raw_input("Parametric bootstrap 1/[0]: ")
if e=="1":ipar=1
e=raw_input("Plot bootstrap eigenvectors: 1/[0]: ")
if e=="1":ivec=1
if iplot==1:
if inittcdf==0:
ANIS['tcdf']=3
pmagplotlib.plot_init(ANIS['tcdf'],5,5)
inittcdf=1
bpars,hpars=pmagplotlib.plotANIS(ANIS,Ss,iboot,ihext,ivec,ipar,title,iplot,comp,vec,Dir)
print 'you may have to click on the figure to refresh'
if ans=="c":
print "Current Coordinate system is: "
if CS=='-1':print " Specimen"
if CS=='0':print " Geographic"
if CS=='100':print " Tilt corrected"
key=raw_input(" Enter desired coordinate system: [s]pecimen, [g]eographic, [t]ilt corrected ")
if key=='s':CS='-1'
if key=='g':CS='0'
if key=='t': CS='100'
if CS not in orlist:
if len(orlist)>0:
CS=orlist[0]
else:
CS='-1'
if CS=='-1':crd='specimen'
if CS=='0':crd='geographic'
if CS=='100':crd='tilt corrected'
print "desired coordinate system not available, using available: ",crd
k-=1
goon=0
if ans=="":
if isite==1:
goon=0
else:
print "Good bye "
sys.exit()
if ans=='d':
if initcdf==0:
initcdf=1
ANIS['vxcdf'],ANIS['vycdf'],ANIS['vzcdf']=4,5,6
pmagplotlib.plot_init(ANIS['vxcdf'],5,5)
pmagplotlib.plot_init(ANIS['vycdf'],5,5)
pmagplotlib.plot_init(ANIS['vzcdf'],5,5)
Dir,comp=[],1
print """
Input: Vi D I to compare eigenvector Vi with direction D/I
where Vi=1: principal
Vi=2: major
Vi=3: minor
D= declination of comparison direction
I= inclination of comparison direction"""
con=1
while con==1:
try:
vdi=raw_input("Vi D I: ").split()
vec=int(vdi[0])-1
Dir.append(float(vdi[1]))
Dir.append(float(vdi[2]))
Dir.append(1.)
con=0
except IndexError:
print " Incorrect entry, try again "
bpars,hpars=pmagplotlib.plotANIS(ANIS,Ss,iboot,ihext,ivec,ipar,title,iplot,comp,vec,Dir)
Dir,comp=[],0
if ans=='g':
con,cnt=1,0
while con==1:
try:
print " Input: input pole to great circle ( D I) to plot a great circle: "
di=raw_input(" D I: ").split()
PDir=[]
PDir.append(float(di[0]))
PDir.append(float(di[1]))
con=0
except:
cnt+=1
if cnt<10:
print " enter the dec and inc of the pole on one line "
else:
print "ummm - you are doing something wrong - i give up"
sys.exit()
pmagplotlib.plotC(ANIS['data'],PDir,90.,'g')
pmagplotlib.plotC(ANIS['conf'],PDir,90.,'g')
if ans=="p":
k-=2
goon=0
if ans=="q":
k=plt
goon=0
if ans=="s":
keepon=1
site=raw_input(" print site or part of site desired: ")
while keepon==1:
try:
k=sitelist.index(site)
keepon=0
except:
tmplist=[]
for qq in range(len(sitelist)):
if site in sitelist[qq]:tmplist.append(sitelist[qq])
print site," not found, but this was: "
print tmplist
site=raw_input('Select one or try again\n ')
k=sitelist.index(site)
goon,ans=0,""
if ans=="a":
files={}
for key in ANIS.keys():
savetitle=title.replace(" ","")
files[key]=savetitle+'_'+key+'.'+fmt
pmagplotlib.saveP(ANIS,files)
goon=0
else:
print 'skipping plot - not enough data points'
k+=1
# put rmag_results stuff here
if len(ResRecs)>0:
pmag.magic_write(outfile,ResRecs,'rmag_results')
print "Anisotropy results saved in ",outfile
print " Good bye "
