#!/usr/bin/env ipython from pylab import * #from load_data import sh, mc, cr import func_data as fd import share.funcs as ff import matplotlib.patches as patches import matplotlib.transforms as transforms #++++++++++++++++++++++++++++++++++++++++++++++++++++ dir_inp_sh = '../../../../sheaths/ascii/MCflag2/wShiftCorr/_test_Vmc_' dir_inp_mc = '../../../../mcs/ascii/MCflag2/wShiftCorr/_test_Vmc_' fname_inp_part = 'MCflag2_2before.4after_fgap0.2_Wang90.0' mgr = fd.mgr_data(dir_inp_sh, dir_inp_mc, fname_inp_part) sh, mc, cr = mgr.run(vlo=100.0, vhi=450.0) fname_fig = '../figs/nCR_vlo.%4.1f.vhi.%4.1f.png' % (mgr.vlo, mgr.vhi) #++++++++++++++++++++++++++++++++++++++++++++++++++++ #-- mc: mc.cc = (mc.t > 0.0) & (mc.t <= 2.0) mc.tout = 3.0 * mc.t[mc.cc] + 1.0 mc.rms = mc.rmsB[mc.cc] mc.B = mc.B[mc.cc] cr.mc.crs = cr.mc.avr[mc.cc] #-- sheath sh.cc = sh.t < 1.0 sh.tout = sh.t[sh.cc] sh.rms = sh.rmsB[sh.cc] sh.B = sh.B[sh.cc] cr.sh.crs = cr.sh.avr[sh.cc]
'--seed_' + seed_nm,
nargs=3,
type=str_to_other,
default=seed_default,
help='try seeds uniformly equiparted in a given range, \
for `' + seed_nm + '` parameter.',
metavar=('MIN', 'MAX', 'BINS'),
)
#--- END
pa = parser.parse_args()
dir_inp_sh = pa.left #'{dir}/sheaths.icmes/ascii/MCflag0.1.2.2H/woShiftCorr/_auger_/' .format(dir=env['MEAN_PROFILES_ACE'])
dir_inp_mc = pa.right #'{dir}/icmes/ascii/MCflag0.1.2.2H/woShiftCorr/_auger_/' .format(dir=env['MEAN_PROFILES_ACE'])
CRstr = pa.suffix #'CRs.Auger_scals'
mgr = fd.mgr_data(dir_inp_sh, dir_inp_mc, pa.prefix)
sh, mc, cr = mgr.run(vlo=pa.lim[0], vhi=pa.lim[1], CRstr=pa.suffix)
#sh, mc, cr = mgr.run(vlo=375.0, vhi=450.0, CRstr=CRstr)
#sh, mc, cr = mgr.run(vlo=450.0, vhi=3000.0, CRstr=CRstr)
#--- `fig` argument must be full-filename or directory!
if pa.fig == '':
raise SystemExit(' --> must specify filename or directory!')
elif pa.fig[-1] == '/':
fname_fig = pa.fig + 'nCR' +\
'_' if pa.lim==[None,None] else\
'_vlo.{lo:4.1f}.vhi.{hi:4.1f}'.format(lo=mgr.vlo,hi=mgr.vhi) +\
'_%s.png' % pa.suffix
else:
fname_fig = pa.fig
#++++++++++++++++++++++++++++++++++++++++++++++++++++
