def test(ngrid=32):
from numpy import *
drt1 = "/store/stellcomp/group/pcreasey/runs/2Mpc_LG_3spheres/run_03_pmgrid_lowsoft/outputs"
drt1 = "/store/stellcomp/cecilia/sims/LG/new_7Mpc_2048/outputs"
snapnum = 0
snap = load_snapshot(directory=drt1,
snapnum=snapnum,
label_table=cecilia_labels)
modes, boxsize = snap_to_modes(snap, ngrid)
print 'Making power spectrum bins'
kmin, kmax, kbins, kvol = powerspec_bins(ngrid, boxsize)
wts = square(modes.ravel().real) + square(modes.ravel().imag)
print 'Summing power spectrum'
v1 = bincount(kbins, weights=wts)
powerspec = v1 / kvol
# work out error on power spectrum
v2 = bincount(kbins, weights=square(wts))
v0 = bincount(kbins)
p_err = sqrt((v2 * v0 - v1 * v1) / v0) / kvol
print '#k_bin_min k_bin_max k_bin_vol Power power_error'
for l, h, vol, p, er in zip(kmin, kmax, kvol, powerspec, p_err):
print l, h, vol, p, er
def animate(i):
snap = load_snapshot(file.format(i), label_table=cecilia_labels)
gas_pos = snap['POS '][0]
stars_pos = snap['POS '][4]
add_to_plot(gas, gas_pos)
add_to_plot(stars, stars_pos)
print(i)
return points,
def animate(i):
snap = load_snapshot(file.format(i), label_table=cecilia_labels)
gas_pos = snap['POS '][0]
#stars_pos = snap['POS '][4]
x, y, z = np.split(gas_pos, 3, axis=1)
points[0].set_offsets(gas_pos[:, :2])
#points[1].set_offsets([x,z])
#points[2].set_offsets([y,z])
return points,
def animate(i):
snap = load_snapshot(file.format(i), label_table=cecilia_labels)
gas_pos = snap['POS '][0]
#stars_pos = snap['POS '][4]
x, y, z = np.split(gas_pos, 3, axis=1)
points.set_data(x, y)
print(i)
return points,
def dump(name):
print '\nReading', name, '\n'
snap = load_snapshot(name)
print snap
print '\n'
header = snap.header
for hname in header_names[:-1]:
if hname in ['buffer', 'num_particles']:
# these are stripped of the object
continue
dta = getattr(snap.header, hname)
if len(dta) == 1:
print '%25s' % (hname, ), dta[0]
else:
print '%25s' % (hname, ), dta
def dump(name):
print '\nReading', name, '\n'
snap = load_snapshot(name)
print snap
print '\n'
header = snap.header
for hname in header_names[:-1]:
if hname in ['buffer', 'num_particles']:
# these are stripped of the object
continue
dta = getattr(snap.header, hname)
if len(dta)==1:
print '%25s'%(hname,), dta[0]
else:
print '%25s'%(hname,), dta
from iccpy.gadget import load_snapshot
from iccpy.gadget.labels import cecilia_labels
from iccpy.gadget.subfind import SubfindCatalogue
from iccpy.utils import match
# paths to the parent directory of the folders containing snapshots and subfind
# outputs must be supplied
subfind_path = '../../2Mpc_LG'
snap_num = 135
snap_dir = '../../2Mpc_LG'
# we create the Subfind object for that particular snapshot
cat = SubfindCatalogue(subfind_path, snap_num)
# Directory and snapnum are passed instead of filename, to open snapshot in multiple parts
snap = load_snapshot(directory=snap_dir.format(snap_num),
snapnum=snap_num,
label_table=cecilia_labels)
gas_ids = snap['ID '][0]
stars_ids = snap['ID '][4]
def plotxy_subhalo(subhalo, num_species):
"""
Given a subhalo object, and species number (0 for gas, 4 for stars, etc.),
plots the XY projection of the particles onto the axis object.
"""
# we first find the indices of the IDs array in which the subhalo IDs are
# located. We then filter out the -1s in the indexes array, since these are
# the subhalo IDs unmatched to the snap IDs for the particular species.
Program to plot
"""
import numpy as np
import matplotlib.pyplot as plt
from iccpy.gadget import load_snapshot
from iccpy.gadget.labels import cecilia_labels
plt.ion()
number_of_snapshots = 200 # actually includes snap_000
file = '/home/martin/Documents/Tesis/outputs/snap_{:03d}'
snap = load_snapshot(file.format(200), label_table=cecilia_labels)
gas_pos = snap['POS '][0]
gas_x = gas_pos[:, 0]
gas_y = gas_pos[:, 1]
gas_z = gas_pos[:, 2]
gas_r = np.sqrt(gas_x**2 + gas_y**2 + gas_z**2)
gas_U = snap['U '][0]
gas_rho = snap['RHO '][0]
plt.figure()
ax = plt.gca()
import numpy as np
import pylab as pl
from iccpy.gadget import load_snapshot
from iccpy.gadget.labels import cecilia_labels
#f = load_snapshot('/Users/cecilia/data/Aquarius/halo_C09/snap_C09_200_converted_128', label_table=cecilia_labels)
#f = load_snapshot('/home/cscannapieco/data/isolated_random/single_explosion/outputs/snap_200', label_table=cecilia_labels)
f = load_snapshot('../outputs/snap_200', label_table=cecilia_labels)
list(f)
f.header
f.header.mass
gas_pos = f['POS '][0]
pl.plot(gas_pos[:, 0], gas_pos[:, 1], ',')
pl.plot(gas_pos[:, 0], gas_pos[:, 1],
'.r') # the r is for red, the . is for dot
#pl.xlim(45,55)
#pl.ylim(45,55)
pl.xlabel('x')
pl.ylabel('y')
pl.title('first plot, latex also e.g. $\sim$ 2')
pl.show()
gas_dens = f['RHO '][0]
