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plotter2d.py
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plotter2d.py
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import sys
import os
from warnings import warn
from collections import namedtuple
import glob
import time
from numpy import *
import scipy.constants as co
import pylab
from matplotlib.colors import LogNorm
import h5py
from langevin import CylindricalLangevin
from fdtd import CylBox, CylDimensions, avg
from contexttimer import ContextTimer
X, Y, Z = 0, 1, 2
R, Z_, PHI = 0, 1, 2
Td = 1e-17 * co.centi**2
def main():
from optparse import OptionParser
parser = OptionParser()
parser.add_option("-p", "--profile", dest="profile",
help="Profile to plot (what variables)?",
action="store", default="logreduced")
parser.add_option("-W", "--watch", dest="watch",
help="Watch the directory for .h5 files to appear",
action="store_true", default=False)
parser.add_option("-w", "--wait", dest="wait",
help="Wait for files to appear",
action="store_true", default=False)
parser.add_option("-z", "--zlim", dest="zlim",
help="Range of z to plot",
type=str, default=None)
parser.add_option("-r", "--rlim", dest="rlim",
help="Range of r to plot",
type=str, default=None)
(opts, args) = parser.parse_args()
reduce_res = True
if opts.zlim is not None:
zlim = [float(s) * co.kilo for s in opts.zlim.split(':')]
reduce_res = False
else:
zlim = None
if opts.rlim is not None:
rlim = [float(s) * co.kilo for s in opts.rlim.split(':')]
reduce_res = False
else:
rlim = None
process_files(args, opts.profile, wait=opts.wait,
zlim=zlim, rlim=rlim, reduce_res=reduce_res)
if opts.watch:
w = Watcher()
w.run()
class Watcher(object):
def __init__(self):
self.done = set()
self.todo = []
def dispatch(self):
process_files(self.todo)
self.done.update(self.todo)
self.todo = []
def update(self):
self.todo.extend(item for item in glob.iglob("*.h5")
if not item in self.done)
def run(self):
while True:
self.update()
self.dispatch()
time.sleep(20)
def wait_for(fname):
printed = False
while not os.path.exists(fname):
if not printed:
print("Waiting for `%s'..." % fname)
printed = True
time.sleep(10)
# We allow an aditional 3 secs for finishing the writing
if printed:
time.sleep(4)
def process_files(fnames, profiles, wait=False, **kwargs):
for fname in fnames:
if wait:
wait_for(fname)
with ContextTimer("Loading %s" % fname):
fp = h5py.File(fname)
siml = CylindricalLangevin.load(fp)
fp.close()
for profile in profiles.split(','):
ofile = fname.replace('.h5', '-%s.png' % profile)
with ContextTimer("Writing %s" % ofile):
panel(siml, profile, ofile, **kwargs)
def panel(sim, profile, ofile, mun=2e24, **kwargs):
pylab.figure(figsize=(20, 8))
pylab.clf()
pylab.subplots_adjust(left=0.065, right=0.98, wspace=0.07, top=0.95)
jr = sum(avg(sim.j_(R), axis=R), axis=-1)
jz = sum(avg(sim.j_(Z_), axis=Z_), axis=-1)
jphi = sum(avg(sim.j_(PHI), axis=PHI), axis=-1)
eabs = sqrt(sum(sim.e**2, axis=-1))
En = (eabs * co.elementary_charge /
(mun * sim.nu[:, :, 0] * co.electron_mass))
En[:] = where(isfinite(En), En, 0.0)
logargs = dict(vmin=1e-2, vmax=1e4, norm=LogNorm())
freelogargs = dict(norm=LogNorm())
VProfile = namedtuple("VProfile", "var label args")
profiles = {
"fields": [VProfile(sim.hphi.v.T, "$H_\phi$ [SI]", {}),
VProfile(sim.ez.v.T, "$E_z$ [V/m]", {}),
VProfile(sim.hr.v.T, "$H_r$ [SI]", {}),
VProfile(sim.er.v.T, "$E_r$ [V/m]", {})],
"logfields": [VProfile(abs(sim.hphi.v.T), "$H_\phi$ [SI]", logargs),
VProfile(abs(sim.ez.v.T), "$E_z$ [V/m]", logargs),
VProfile(abs(sim.hr.v.T), "$H_r$ [SI]", logargs),
VProfile(abs(sim.er.v.T), "$E_r$ [V/m]", logargs)],
"freelogfields": [VProfile(abs(sim.hphi.v.T), "$H_\phi$ [SI]",
freelogargs),
VProfile(abs(sim.ez.v.T), "$E_z$ [V/m]",
freelogargs),
VProfile(abs(sim.hr.v.T), "$H_r$ [SI]",
freelogargs),
VProfile(abs(sim.er.v.T), "$E_r$ [V/m]",
freelogargs)],
"reduced": [VProfile(abs(jz.T), "$J_z$ [A/m$^\\mathdefault{2}$]",
{}),
VProfile(abs(jz.T), "$J_z$ [A/m$^\\mathdefault{2}$]",
{}),
VProfile(En.T / Td, "$E/N$ [Td]", {}),
VProfile(abs(sim.er.v.T), "$E_z$ [V/m]", {})],
"logreduced": [VProfile(abs(jz.T), "$J_z$ [A/m$^\\mathdefault{2}$]",
logargs),
VProfile(abs(sim.er.v.T), "$E_r$ [V/m]", logargs),
VProfile(En.T / Td, "$E/N$ [Td]", logargs),
VProfile(abs(sim.ez.v.T), "$E_z$ [V/m]", logargs)]}
print("")
print("\teabs : ", amin(eabs), amax(eabs))
pylab.title("t = %.4d $\mu$s" % (sim.te / co.micro))
for i, vp in enumerate(profiles[profile]):
pylab.subplot(2, 2, i + 1)
args = kwargs.copy()
args.update(vp.args)
plot(sim, vp.var, label=vp.label, **args)
try:
pylab.savefig(ofile)
except (ValueError, AttributeError) as e:
warn("Error saving the figure")
def plot(sim, var, label=None, rlim=None, zlim=None, reduce_res=True,
**kwargs):
rf = sim.rf
zf = sim.zf
if rlim is not None:
flt = logical_and(rf >= rlim[0], rf <= rlim[1])
rf = rf[flt]
var = var[:, flt]
if zlim is not None:
flt = logical_and(zf >= zlim[0], zf <= zlim[1])
zf = zf[flt]
var = var[flt, :]
if reduce_res:
while len(rf) > 600 or len(zf) > 600:
rf = rf[::2]
zf = zf[::2]
var = var[::2, ::2]
warn("Reducing resolution to %dx%d" % (len(rf), len(zf)))
pylab.pcolor(rf / co.kilo,
zf / co.kilo,
var, **kwargs)
try:
c = pylab.colorbar()
c.set_label(label)
except (ValueError, AttributeError) as e:
warn("Invalid values while plotting ez")
if rlim is None:
rlim = [rf[0], rf[-1]]
if zlim is None:
zlim = [zf[0], zf[-1]]
pylab.xlim([v / co.kilo for v in rlim])
pylab.ylim([v / co.kilo for v in zlim])
pylab.ylabel("z [km]")
pylab.xlabel("r [km]")
if __name__ == '__main__':
main()