def _main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--show", "--plot", action="store_true")
args = viscid.vutil.common_argparse(parser)
# args.show = True
t = viscid.linspace_datetime64('2006-06-10 12:30:00.0',
'2006-06-10 12:33:00.0', 16)
tL = viscid.as_datetime64('2006-06-10 12:31:00.0')
tR = viscid.as_datetime64('2006-06-10 12:32:00.0')
y = np.linspace(2 * np.pi, 4 * np.pi, 12)
### plots with a datetime64 axis
f0 = viscid.ones([t, y], crd_names='ty', center='node')
T, Y = f0.get_crds(shaped=True)
f0.data += np.arange(T.size).reshape(T.shape)
f0.data += np.cos(Y)
fig = plt.figure(figsize=(10, 5))
# 1D plot
vlt.subplot(121)
vlt.plot(f0[tL:tR]['y=0'], marker='^')
plt.xlim(*viscid.as_datetime(t[[0, -1]]).tolist())
# 2D plot
vlt.subplot(122)
vlt.plot(f0, x=(t[0], t[-1]))
plt.suptitle("datetime64")
vlt.auto_adjust_subplots(subplot_params=dict(top=0.9))
plt.savefig(next_plot_fname(__file__))
if args.show:
vlt.show()
plt.close(fig)
### plots with a timedelta64 axis
tL = tL - t[0]
tR = tR - t[0]
t = t - t[0]
f0 = viscid.ones([t, y], crd_names='ty', center='node')
T, Y = f0.get_crds(shaped=True)
f0.data += np.arange(T.size).reshape(T.shape)
f0.data += np.cos(Y)
fig = plt.figure(figsize=(10, 5))
# 1D plot
vlt.subplot(121)
vlt.plot(f0[tL:tR]['y=0'], marker='^')
plt.xlim(*viscid.as_datetime(t[[0, -1]]).tolist())
# 2D plot
vlt.subplot(122)
vlt.plot(f0, x=(t[0], t[-1]))
plt.suptitle("timedelta64")
vlt.auto_adjust_subplots(subplot_params=dict(top=0.9))
plt.savefig(next_plot_fname(__file__))
if args.show:
vlt.show()
plt.close(fig)
return 0
def do_test(lines, scalars, show=False, txt=""):
viscid.logger.info('--> ' + txt)
title = txt + '\n' + "\n".join(
textwrap.wrap("scalars = {0}".format(scalars), width=50))
try:
from viscid.plot import vpyplot as vlt
from matplotlib import pyplot as plt
vlt.clf()
vlt.plot_lines(lines, scalars=scalars)
plt.title(title)
vlt.savefig(next_plot_fname(__file__, series='q2'))
if show:
vlt.show()
except ImportError:
pass
try:
from mayavi import mlab
vlab, _ = get_mvi_fig()
vlab.clf()
vlab.plot_lines3d(lines, scalars=scalars)
vlab.fancy_axes()
mlab.text(0.05, 0.05, title)
vlab.savefig(next_plot_fname(__file__, series='q3'))
if show:
vlab.show(stop=True)
except ImportError:
pass
def _main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--show", "--plot", action="store_true")
args = viscid.vutil.common_argparse(parser)
# args.show = True
t = viscid.linspace_datetime64('2006-06-10 12:30:00.0',
'2006-06-10 12:33:00.0', 16)
tL = viscid.as_datetime64('2006-06-10 12:31:00.0')
tR = viscid.as_datetime64('2006-06-10 12:32:00.0')
y = np.linspace(2 * np.pi, 4 * np.pi, 12)
### plots with a datetime64 axis
f0 = viscid.ones([t, y], crd_names='ty', center='node')
T, Y = f0.get_crds(shaped=True)
f0.data += np.arange(T.size).reshape(T.shape)
f0.data += np.cos(Y)
fig = plt.figure(figsize=(10, 5))
# 1D plot
vlt.subplot(121)
vlt.plot(f0[tL:tR]['y=0'], marker='^')
plt.xlim(*viscid.as_datetime(t[[0, -1]]).tolist())
# 2D plot
vlt.subplot(122)
vlt.plot(f0, x=(t[0], t[-1]))
plt.suptitle("datetime64")
vlt.auto_adjust_subplots(subplot_params=dict(top=0.9))
plt.savefig(next_plot_fname(__file__))
if args.show:
vlt.show()
plt.close(fig)
### plots with a timedelta64 axis
tL = tL - t[0]
tR = tR - t[0]
t = t - t[0]
f0 = viscid.ones([t, y], crd_names='ty', center='node')
T, Y = f0.get_crds(shaped=True)
f0.data += np.arange(T.size).reshape(T.shape)
f0.data += np.cos(Y)
fig = plt.figure(figsize=(10, 5))
# 1D plot
vlt.subplot(121)
vlt.plot(f0[tL:tR]['y=0'], marker='^')
plt.xlim(*viscid.as_datetime(t[[0, -1]]).tolist())
# 2D plot
vlt.subplot(122)
vlt.plot(f0, x=(t[0], t[-1]))
plt.suptitle("timedelta64")
vlt.auto_adjust_subplots(subplot_params=dict(top=0.9))
plt.savefig(next_plot_fname(__file__))
if args.show:
vlt.show()
plt.close(fig)
return 0
def run_test(fld, seeds, plot2d=True, plot3d=True, add_title="",
view_kwargs=None, show=False, scatter_mpl=False, mesh_mvi=True):
interpolated_fld = viscid.interp_trilin(fld, seeds)
seed_name = seeds.__class__.__name__
if add_title:
seed_name += " " + add_title
try:
if not plot2d:
raise ImportError
from viscid.plot import vpyplot as vlt
from matplotlib import pyplot as plt
plt.clf()
# plt.plot(seeds.get_points()[2, :], fld)
mpl_plot_kwargs = dict()
if interpolated_fld.is_spherical():
mpl_plot_kwargs['hemisphere'] = 'north'
vlt.plot(interpolated_fld, **mpl_plot_kwargs)
plt.title(seed_name)
plt.savefig(next_plot_fname(__file__, series='2d'))
if show:
plt.show()
if scatter_mpl:
plt.clf()
vlt.plot2d_line(seeds.get_points(), fld, symdir='z', marker='o')
plt.savefig(next_plot_fname(__file__, series='2d'))
if show:
plt.show()
except ImportError:
pass
try:
if not plot3d:
raise ImportError
from viscid.plot import vlab
_ = get_mvi_fig(offscreen=not show)
try:
if mesh_mvi:
mesh = vlab.mesh_from_seeds(seeds, scalars=interpolated_fld)
mesh.actor.property.backface_culling = True
except RuntimeError:
pass
pts = seeds.get_points()
p = vlab.points3d(pts[0], pts[1], pts[2], interpolated_fld.flat_data,
scale_mode='none', scale_factor=0.02)
vlab.axes(p)
vlab.title(seed_name)
if view_kwargs:
vlab.view(**view_kwargs)
vlab.savefig(next_plot_fname(__file__, series='3d'))
if show:
vlab.show(stop=True)
except ImportError:
pass
def main():
parser = argparse.ArgumentParser(description="Test divergence")
parser.add_argument("--show", "--plot", action="store_true")
args = viscid.vutil.common_argparse(parser)
# args.show = True
t = viscid.linspace_datetime64("2006-06-10 12:30:00.0", "2006-06-10 12:33:00.0", 16)
tL = viscid.as_datetime64("2006-06-10 12:31:00.0")
tR = viscid.as_datetime64("2006-06-10 12:32:00.0")
y = np.linspace(2 * np.pi, 4 * np.pi, 12)
### plots with a datetime64 axis
f0 = viscid.ones([t, y], crd_names="ty", center="node")
T, Y = f0.get_crds(shaped=True)
f0.data += np.arange(T.size).reshape(T.shape)
f0.data += np.cos(Y)
fig = mpl.plt.figure(figsize=(10, 5))
# 1D plot
mpl.subplot(121)
mpl.plot(f0[tL:tR]["y=0"], marker="^")
mpl.plt.xlim(*viscid.as_datetime(t[[0, -1]]).tolist())
# 2D plot
mpl.subplot(122)
mpl.plot(f0, x=(t[0], t[-1]))
mpl.plt.suptitle("datetime64")
mpl.auto_adjust_subplots(subplot_params=dict(top=0.9))
mpl.plt.savefig(next_plot_fname(__file__))
if args.show:
mpl.show()
mpl.plt.close(fig)
### plots with a timedelta64 axis
tL = tL - t[0]
tR = tR - t[0]
t = t - t[0]
f0 = viscid.ones([t, y], crd_names="ty", center="node")
T, Y = f0.get_crds(shaped=True)
f0.data += np.arange(T.size).reshape(T.shape)
f0.data += np.cos(Y)
fig = mpl.plt.figure(figsize=(10, 5))
# 1D plot
mpl.subplot(121)
mpl.plot(f0[tL:tR]["y=0"], marker="^")
mpl.plt.xlim(*viscid.as_datetime(t[[0, -1]]).tolist())
# 2D plot
mpl.subplot(122)
mpl.plot(f0, x=(t[0], t[-1]), y=(y[0], y[-1]))
mpl.plt.suptitle("timedelta64")
mpl.auto_adjust_subplots(subplot_params=dict(top=0.9))
mpl.plt.savefig(next_plot_fname(__file__))
if args.show:
mpl.show()
mpl.plt.close(fig)
return 0
def run_test(fld, seeds, plot2d=True, plot3d=True, add_title="",
view_kwargs=None, show=False, scatter_mpl=False, mesh_mvi=True):
interpolated_fld = viscid.interp_trilin(fld, seeds)
seed_name = seeds.__class__.__name__
if add_title:
seed_name += " " + add_title
try:
if not plot2d:
raise ImportError
from viscid.plot import vpyplot as vlt
from matplotlib import pyplot as plt
plt.clf()
# plt.plot(seeds.get_points()[2, :], fld)
mpl_plot_kwargs = dict()
if interpolated_fld.is_spherical():
mpl_plot_kwargs['hemisphere'] = 'north'
vlt.plot(interpolated_fld, **mpl_plot_kwargs)
plt.title(seed_name)
plt.savefig(next_plot_fname(__file__, series='2d'))
if show:
plt.show()
if scatter_mpl:
plt.clf()
vlt.plot2d_line(seeds.get_points(), fld, symdir='z', marker='o')
plt.savefig(next_plot_fname(__file__, series='2d'))
if show:
plt.show()
except ImportError:
pass
try:
if not plot3d:
raise ImportError
vlab, _ = get_mvi_fig()
try:
if mesh_mvi:
mesh = vlab.mesh_from_seeds(seeds, scalars=interpolated_fld)
mesh.actor.property.backface_culling = True
except RuntimeError:
pass
pts = seeds.get_points()
p = vlab.points3d(pts[0], pts[1], pts[2], interpolated_fld.flat_data,
scale_mode='none', scale_factor=0.02)
vlab.axes(p)
vlab.title(seed_name)
if view_kwargs:
vlab.view(**view_kwargs)
vlab.savefig(next_plot_fname(__file__, series='3d'))
if show:
vlab.show(stop=True)
except ImportError:
pass
def run_test(_fld, _seeds, plot2d=True, plot3d=True, title='', show=False,
**kwargs):
lines, topo = viscid.calc_streamlines(_fld, _seeds, **kwargs)
topo_color = viscid.topology2color(topo)
# downsample lines for plotting
lines = [line[:, ::8] for line in lines]
try:
if not plot2d:
raise ImportError
from viscid.plot import vpyplot as vlt
from matplotlib import pyplot as plt
plt.clf()
vlt.plot2d_lines(lines, scalars=topo_color, symdir='y', marker='^')
if title:
plt.title(title)
plt.savefig(next_plot_fname(__file__, series='2d'))
if show:
plt.show()
except ImportError:
pass
try:
if not plot3d:
raise ImportError
from viscid.plot import vlab
try:
fig = _global_ns['figure']
vlab.clf()
except KeyError:
fig = vlab.figure(size=[1200, 800], offscreen=not show,
bgcolor=(1, 1, 1), fgcolor=(0, 0, 0))
_global_ns['figure'] = fig
fld_mag = np.log(viscid.magnitude(_fld))
try:
# note: mayavi.mlab.mesh can't take color tuples as scalars
# so one can't use topo_color on a mesh surface. This
# is a limitation of mayavi. To actually plot a specific
# set of colors on a mesh, one must use a texture
mesh = vlab.mesh_from_seeds(_seeds, scalars=topo, opacity=0.6)
mesh.actor.property.backface_culling = True
except RuntimeError:
pass
vlab.plot_lines(lines, scalars=fld_mag, tube_radius=0.01,
cmap='viridis')
if title:
vlab.title(title)
vlab.savefig(next_plot_fname(__file__, series='3d'))
if show:
vlab.show()
except ImportError:
pass
def run_test(fld, seeds, plot2d=True, plot3d=True, add_title="",
view_kwargs=None, show=False):
interpolated_fld = viscid.interp_trilin(fld, seeds)
seed_name = seeds.__class__.__name__
if add_title:
seed_name += " " + add_title
try:
if not plot2d:
raise ImportError
from matplotlib import pyplot as plt
from viscid.plot import vpyplot as vlt
plt.clf()
# plt.plot(seeds.get_points()[2, :], fld)
mpl_plot_kwargs = dict()
if interpolated_fld.is_spherical():
mpl_plot_kwargs['hemisphere'] = 'north'
vlt.plot(interpolated_fld, **mpl_plot_kwargs)
plt.title(seed_name)
plt.savefig(next_plot_fname(__file__, series='2d'))
if show:
plt.show()
except ImportError:
pass
try:
if not plot3d:
raise ImportError
from viscid.plot import vlab
try:
fig = _global_ns['figure']
vlab.clf()
except KeyError:
fig = vlab.figure(size=[1200, 800], offscreen=not show)
_global_ns['figure'] = fig
try:
mesh = vlab.mesh_from_seeds(seeds, scalars=interpolated_fld)
mesh.actor.property.backface_culling = True
except RuntimeError:
pass
pts = seeds.get_points()
p = vlab.points3d(pts[0], pts[1], pts[2], interpolated_fld.flat_data,
scale_mode='none', scale_factor=0.02)
vlab.axes(p)
vlab.title(seed_name)
if view_kwargs:
vlab.view(**view_kwargs)
vlab.savefig(next_plot_fname(__file__, series='3d'))
if show:
vlab.show()
except ImportError:
pass
def run_test(_fld, _seeds, plot2d=True, plot3d=True, title="", show=False, **kwargs):
lines, topo = viscid.calc_streamlines(_fld, _seeds, **kwargs)
topo_color = viscid.topology2color(topo)
# downsample lines for plotting
lines = [line[:, ::8] for line in lines]
try:
if not plot2d:
raise ImportError
from viscid.plot import mpl
mpl.plt.clf()
mpl.plot2d_lines(lines, scalars=topo_color, symdir="y", marker="^")
if title:
mpl.plt.title(title)
mpl.plt.savefig(next_plot_fname(__file__, series="2d"))
if show:
mpl.plt.show()
except ImportError:
pass
try:
if not plot3d:
raise ImportError
from viscid.plot import mvi
try:
fig = _global_ns["figure"]
mvi.clf()
except KeyError:
fig = mvi.figure(size=[1200, 800], offscreen=not show)
_global_ns["figure"] = fig
fld_mag = np.log(viscid.magnitude(_fld))
try:
# note: mayavi.mlab.mesh can't take color tuples as scalars
# so one can't use topo_color on a mesh surface. This
# is a limitation of mayavi. To actually plot a specific
# set of colors on a mesh, one must use a texture
mesh = mvi.mesh_from_seeds(_seeds, scalars=topo, opacity=0.6)
mesh.actor.property.backface_culling = True
except RuntimeError:
pass
mvi.plot_lines(lines, scalars=fld_mag, tube_radius=0.01, cmap="viridis")
if title:
mvi.title(title)
mvi.savefig(next_plot_fname(__file__, series="3d"))
if show:
mvi.show()
except ImportError:
pass
def run_test(fld, seeds, plot2d=True, plot3d=True, add_title="",
view_kwargs=None, show=False):
interpolated_fld = viscid.interp_trilin(fld, seeds)
seed_name = seeds.__class__.__name__
if add_title:
seed_name += " " + add_title
try:
if not plot2d:
raise ImportError
from viscid.plot import mpl
mpl.plt.clf()
# mpl.plt.plot(seeds.get_points()[2, :], fld)
mpl_plot_kwargs = dict()
if interpolated_fld.is_spherical():
mpl_plot_kwargs['hemisphere'] = 'north'
mpl.plot(interpolated_fld, **mpl_plot_kwargs)
mpl.plt.title(seed_name)
mpl.plt.savefig(next_plot_fname(__file__, series='2d'))
if show:
mpl.plt.show()
except ImportError:
pass
try:
if not plot3d:
raise ImportError
from viscid.plot import mvi
try:
fig = _global_ns['figure']
mvi.clf()
except KeyError:
fig = mvi.figure(size=[1200, 800], offscreen=not show)
_global_ns['figure'] = fig
try:
mesh = mvi.mesh_from_seeds(seeds, scalars=interpolated_fld)
mesh.actor.property.backface_culling = True
except RuntimeError:
pass
pts = seeds.get_points()
p = mvi.points3d(pts[0], pts[1], pts[2], interpolated_fld.flat_data,
scale_mode='none', scale_factor=0.02)
mvi.axes(p)
mvi.title(seed_name)
if view_kwargs:
mvi.view(**view_kwargs)
mvi.savefig(next_plot_fname(__file__, series='3d'))
if show:
mvi.show()
except ImportError:
pass
def main():
parser = argparse.ArgumentParser(description="Test quasi potential")
parser.add_argument("--show", "--plot", action="store_true")
args = vutil.common_argparse(parser)
b, e = make_arcade(8.0, N=[64, 64, 64])
epar = viscid.project(e, b)
epar.pretty_name = "E parallel"
###############
# Calculate Xi
seeds = viscid.Volume(xl=[-10, 0.0, -10], xh=[10, 0.0, 10],
n=[64, 1, 64])
b_lines, _ = viscid.calc_streamlines(b, seeds)
xi_dat = viscid.integrate_along_lines(b_lines, e, reduction='dot')
xi = seeds.wrap_field(xi_dat, name='xi', pretty_name=r"$\Xi$")
################################
# Make 2D Matplotlib plot of Xi
mpl.plot(xi, x=(-10, 10), y=(-10, 10), style='contourf', levels=256,
lin=(2e-4, 1.5718))
mpl.plot(xi, x=(-10, 10), y=(-10, 10), style='contour', colors='grey',
levels=[0.5, 1.0])
mpl.savefig(next_plot_fname(__file__))
if args.show:
mpl.show()
############################################################
# Make 3D mayavi plot of Xi and the 'brightest' field lines
# as well as some other field lines for context
try:
from viscid.plot import mvi
except ImportError:
xfail("Mayavi not installed")
mvi.figure(size=[1200, 800], offscreen=not args.show)
inds = np.argsort(xi_dat)[-64:]
inds = np.concatenate([inds, np.arange(len(xi_dat))[::71]])
s = mvi.plot_lines(b_lines[inds], scalars=epar, cmap='viridis')
mvi.mesh_from_seeds(seeds, scalars=xi, cmap='inferno')
mvi.colorbar(s, orientation='horizontal', title=epar.pretty_name)
# mvi.streamline(b, scalars=e, seedtype='sphere', seed_resolution=4,
# integration_direction='both')
oa = mvi.orientation_axes()
oa.marker.set_viewport(0.75, 0.75, 1.0, 1.0)
mvi.view(roll=0, azimuth=90, elevation=25, distance=30.0,
focalpoint=[0, 2, 0])
mvi.savefig(next_plot_fname(__file__))
if args.show:
mvi.show()
def run_test(_fld, _seeds, plot2d=True, plot3d=True, title='', show=False,
**kwargs):
lines, topo = viscid.calc_streamlines(_fld, _seeds, **kwargs)
topo_color = viscid.topology2color(topo)
# downsample lines for plotting
lines = [line[:, ::8] for line in lines]
try:
if not plot2d:
raise ImportError
from viscid.plot import vpyplot as vlt
from matplotlib import pyplot as plt
plt.clf()
vlt.plot2d_lines(lines, scalars=topo_color, symdir='y', marker='^')
if title:
plt.title(title)
plt.savefig(next_plot_fname(__file__, series='2d'))
if show:
plt.show()
except ImportError:
pass
try:
if not plot3d:
raise ImportError
vlab, _ = get_mvi_fig()
fld_mag = np.log(viscid.magnitude(_fld))
try:
# note: mayavi.mlab.mesh can't take color tuples as scalars
# so one can't use topo_color on a mesh surface. This
# is a limitation of mayavi. To actually plot a specific
# set of colors on a mesh, one must use a texture
mesh = vlab.mesh_from_seeds(_seeds, scalars=topo, opacity=0.6)
mesh.actor.property.backface_culling = True
except RuntimeError:
pass
vlab.plot_lines(lines, scalars=fld_mag, tube_radius=0.01,
cmap='viridis')
if title:
vlab.title(title)
vlab.savefig(next_plot_fname(__file__, series='3d'))
if show:
vlab.show()
except ImportError:
pass
def _main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--show", "--plot", action="store_true")
args = vutil.common_argparse(parser)
f = viscid.load_file(os.path.join(sample_dir, 'vpic_sample', 'global.vpc'))
# some slices that are good to check
vlt.clf()
vlt.plot(f['bx']['x=:32.01j'])
plt.close()
vlt.clf()
vlt.plot(f['bx']['x=:33.0j'])
plt.close()
_, axes = vlt.subplots(2, 2, figsize=(8, 4))
for i, ti in enumerate([0, -1]):
f.activate_time(ti)
vlt.plot(f['n_e']['y=0j'], symmetric=False, ax=axes[0, i])
vlt.plot(f['bx']['y=0j'], symmetric=True, ax=axes[1, i])
axes[0, i].set_title(f.get_grid().time)
vlt.auto_adjust_subplots()
plt.savefig(next_plot_fname(__file__))
if args.show:
vlt.show()
plt.close()
return 0
def _main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--show", "--plot", action="store_true")
args = vutil.common_argparse(parser)
####### test 5-moment uniform grids
gk_uniform = viscid.load_file(os.path.join(sample_dir,
'sample_gkeyll_uniform_q_*.h5'))
plt.figure(figsize=(9, 3))
for i, grid in enumerate(gk_uniform.iter_times(":")):
plt.subplot2grid((1, 2), (0, i))
vlt.plot(grid['rho_i'], logscale=True, style='contourf', levels=128)
seeds = viscid.Line((-1.2, 0, 0), (1.4, 0, 0), 8)
b_lines, _ = viscid.calc_streamlines(grid['b'], seeds, method='euler1',
max_length=20.0)
vlt.plot2d_lines(b_lines, scalars='#000000', symdir='z', linewidth=1.0)
plt.title(grid.format_time('.02f'))
vlt.auto_adjust_subplots()
plt.suptitle("Uniform Gkeyll Dataset")
plt.savefig(next_plot_fname(__file__))
if args.show:
plt.show()
plt.clf()
return 0
def run_mpl_testA(show=False):
logger.info("2D cell centered tests")
x = np.array(np.linspace(-10, 10, 100), dtype=dtype)
y = np.array(np.linspace(-10, 10, 120), dtype=dtype)
z = np.array(np.linspace(-1, 1, 2), dtype=dtype)
fld_s = viscid.empty([x, y, z], center='cell')
Xcc, Ycc, Zcc = fld_s.get_crds_cc(shaped=True) # pylint: disable=unused-variable
fld_s[:, :, :] = np.sin(Xcc) + np.cos(Ycc)
nrows = 4
ncols = 1
plt.subplot2grid((nrows, ncols), (0, 0))
mpl.plot(fld_s, "y=20f", show=False, plot_opts="lin_0")
plt.subplot2grid((nrows, ncols), (1, 0))
mpl.plot(fld_s, "x=0f:20f,y=0f:5f", earth=True, show=False,
plot_opts="x_-10_0,y_0_7")
plt.subplot2grid((nrows, ncols), (2, 0))
mpl.plot(fld_s, "y=0f", show=False, plot_opts="lin_-1_1")
plt.subplot2grid((nrows, ncols), (3, 0))
mpl.plot(fld_s, "z=0f,x=-20f:0f", earth=True, show=False, plot_opts="lin_-5_5")
mpl.plt.suptitle("2d cell centered")
mpl.auto_adjust_subplots()
mpl.plt.savefig(next_plot_fname(__file__))
if show:
mpl.mplshow()
def run_test_2d(f, main__file__, show=False):
mpl.clf()
slc = "x=-20f:12f, y=0f"
plot_kwargs = dict(title=True, earth=True)
mpl.subplot(141)
mpl.plot(f['pp'], slc, logscale=True, **plot_kwargs)
mpl.plot(np.abs(f['psi']), style='contour', logscale=True, levels=30,
linewidths=0.8, colors='grey', linestyles='solid', cbar=None,
x=(-20, 12))
mpl.subplot(142)
mpl.plot(viscid.magnitude(f['bcc']), slc, logscale=True, **plot_kwargs)
mpl.plot2d_quiver(f['v'][slc], step=5, color='y', pivot='mid', width=0.03,
scale=600)
mpl.subplot(143)
mpl.plot(f['jy'], slc, clim=[-0.005, 0.005], **plot_kwargs)
mpl.streamplot(f['v'][slc], linewidth=0.3)
mpl.subplot(144)
mpl.plot(f['jy'], "x=7f:12f, y=0f, z=0f")
mpl.plt.suptitle("2D File")
mpl.auto_adjust_subplots(subplot_params=dict(top=0.9, wspace=1.3))
mpl.plt.gcf().set_size_inches(10, 4)
mpl.savefig(next_plot_fname(main__file__))
if show:
mpl.show()
def run_mpl_testB(show=False):
logger.info("3D node centered tests")
x = np.array(np.linspace(-10, 10, 100), dtype=dtype)
y = np.array(np.linspace(-10, 10, 120), dtype=dtype)
z = np.array(np.linspace(-10, 10, 140), dtype=dtype)
fld_s = viscid.empty([x, y, z], center='node')
X, Y, Z = fld_s.get_crds_nc(shaped=True) # pylint: disable=W0612
fld_s[:, :, :] = np.sin(X) + np.cos(Y) - np.cos(Z)
# print("shape: ", fld_s.data.shape)
_, axes = plt.subplots(4, 1, squeeze=False)
vlt.plot(fld_s, "z=0,x=:30", ax=axes[0, 0], earth=True, plot_opts="lin_0")
vlt.plot(fld_s, "z=0.75j,x=-4:-1,y=-3j:3j", ax=axes[1, 0], earth=True)
vlt.plot(fld_s, "x=-0.5j:,y=-3j:3j,z=0j", ax=axes[2, 0], earth=True)
vlt.plot(fld_s, "x=0.0j,y=-5.0j:5.0j", ax=axes[3, 0], earth=True,
plot_opts="log,g")
plt.suptitle("3d node centered")
vlt.auto_adjust_subplots()
plt.savefig(next_plot_fname(__file__))
if show:
vlt.mplshow()
def run_mpl_testA(show=False):
logger.info("2D cell centered tests")
x = np.array(np.linspace(-10, 10, 100), dtype=dtype)
y = np.array(np.linspace(-10, 10, 120), dtype=dtype)
z = np.array(np.linspace(-1, 1, 2), dtype=dtype)
fld_s = viscid.empty([x, y, z], center='cell')
Xcc, Ycc, Zcc = fld_s.get_crds_cc(shaped=True) # pylint: disable=unused-variable
fld_s[:, :, :] = np.sin(Xcc) + np.cos(Ycc)
_, axes = plt.subplots(4, 1, squeeze=False)
vlt.plot(fld_s, "y=20j", ax=axes[0, 0], show=False, plot_opts="lin_0")
vlt.plot(fld_s, "x=0j:20j,y=0j:5j", ax=axes[1, 0], earth=True, show=False,
plot_opts="x_-10_0,y_0_7")
vlt.plot(fld_s, "y=0j", ax=axes[2, 0], show=False, plot_opts="lin_-1_1")
vlt.plot(fld_s, "z=0j,x=-20j:0j", ax=axes[3, 0], earth=True, show=False,
plot_opts="lin_-5_5")
plt.suptitle("2d cell centered")
vlt.auto_adjust_subplots()
plt.savefig(next_plot_fname(__file__))
if show:
vlt.mplshow()
def run_mpl_testB(show=False):
logger.info("3D node centered tests")
x = np.array(np.linspace(-10, 10, 100), dtype=dtype)
y = np.array(np.linspace(-10, 10, 120), dtype=dtype)
z = np.array(np.linspace(-10, 10, 140), dtype=dtype)
fld_s = viscid.empty([x, y, z], center='node')
X, Y, Z = fld_s.get_crds_nc(shaped=True) # pylint: disable=W0612
fld_s[:, :, :] = np.sin(X) + np.cos(Y) - np.cos(Z)
# print("shape: ", fld_s.data.shape)
nrows = 4
ncols = 1
plt.subplot2grid((nrows, ncols), (0, 0))
mpl.plot(fld_s, "z=0,x=:30", earth=True, plot_opts="lin_0")
plt.subplot2grid((nrows, ncols), (1, 0))
mpl.plot(fld_s, "z=0.75f,x=-4:-1,y=-3f:3f", earth=True)
plt.subplot2grid((nrows, ncols), (2, 0))
mpl.plot(fld_s, "x=-0.5f:,y=-3f:3f,z=0f", earth=True)
plt.subplot2grid((nrows, ncols), (3, 0))
mpl.plot(fld_s, "x=0.0f,y=-5.0f:5.0f", earth=True, plot_opts="log,g")
mpl.plt.suptitle("3d node centered")
mpl.auto_adjust_subplots()
mpl.plt.savefig(next_plot_fname(__file__))
if show:
mpl.mplshow()
def _main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--show", "--plot", action="store_true")
args = vutil.common_argparse(parser)
####### test 5-moment uniform grids
gk_uniform = viscid.load_file(os.path.join(sample_dir,
'sample_gkeyll_uniform_q_*.h5'))
_, axes = plt.subplots(1, 2, figsize=(9, 3))
for i, grid in enumerate(gk_uniform.iter_times(":")):
vlt.plot(grid['rho_i'], logscale=True, style='contourf', levels=128,
ax=axes[i])
seeds = viscid.Line((-1.2, 0, 0), (1.4, 0, 0), 8)
b_lines, _ = viscid.calc_streamlines(grid['b'], seeds, method='euler1',
max_length=20.0)
vlt.plot2d_lines(b_lines, scalars='#000000', symdir='z', linewidth=1.0)
plt.title(grid.format_time('.02f'))
vlt.auto_adjust_subplots()
plt.suptitle("Uniform Gkeyll Dataset")
plt.savefig(next_plot_fname(__file__))
if args.show:
plt.show()
plt.clf()
return 0
def run_mag_test(fld, title="", show=False):
vx, vy, vz = fld.component_views() # pylint: disable=W0612
vx, vy, vz = fld.component_fields()
try:
t0 = time()
mag_ne = viscid.magnitude(fld, preferred="numexpr", only=False)
t1 = time()
logger.info("numexpr mag runtime: %g", t1 - t0)
except viscid.verror.BackendNotFound:
xfail("Numexpr is not installed")
planes = ["z=0", "y=0"]
nrows = 4
ncols = len(planes)
_, axes = plt.subplots(nrows, ncols, sharex=True, sharey=True, squeeze=False)
for ind, p in enumerate(planes):
vlt.plot(vx, p, ax=axes[0, ind], show=False)
vlt.plot(vy, p, ax=axes[1, ind], show=False)
vlt.plot(vz, p, ax=axes[2, ind], show=False)
vlt.plot(mag_ne, p, ax=axes[3, ind], show=False)
plt.suptitle(title)
vlt.auto_adjust_subplots(subplot_params=dict(top=0.9, right=0.9))
plt.gcf().set_size_inches(6, 7)
plt.savefig(next_plot_fname(__file__))
if show:
vlt.mplshow()
def run_mpl_testB(show=False):
logger.info("3D node centered tests")
x = np.array(np.linspace(-10, 10, 100), dtype=dtype)
y = np.array(np.linspace(-10, 10, 120), dtype=dtype)
z = np.array(np.linspace(-10, 10, 140), dtype=dtype)
fld_s = viscid.empty([x, y, z], center='node')
X, Y, Z = fld_s.get_crds_nc(shaped=True) # pylint: disable=W0612
fld_s[:, :, :] = np.sin(X) + np.cos(Y) - np.cos(Z)
# print("shape: ", fld_s.data.shape)
nrows = 4
ncols = 1
plt.subplot2grid((nrows, ncols), (0, 0))
vlt.plot(fld_s, "z=0,x=:30", earth=True, plot_opts="lin_0")
plt.subplot2grid((nrows, ncols), (1, 0))
vlt.plot(fld_s, "z=0.75f,x=-4:-1,y=-3f:3f", earth=True)
plt.subplot2grid((nrows, ncols), (2, 0))
vlt.plot(fld_s, "x=-0.5f:,y=-3f:3f,z=0f", earth=True)
plt.subplot2grid((nrows, ncols), (3, 0))
vlt.plot(fld_s, "x=0.0f,y=-5.0f:5.0f", earth=True, plot_opts="log,g")
plt.suptitle("3d node centered")
vlt.auto_adjust_subplots()
plt.savefig(next_plot_fname(__file__))
if show:
vlt.mplshow()
def run_mpl_testB(show=False):
logger.info("3D node centered tests")
x = np.array(np.linspace(-10, 10, 100), dtype=dtype)
y = np.array(np.linspace(-10, 10, 120), dtype=dtype)
z = np.array(np.linspace(-10, 10, 140), dtype=dtype)
fld_s = viscid.empty([x, y, z], center='node')
X, Y, Z = fld_s.get_crds_nc(shaped=True) # pylint: disable=W0612
fld_s[:, :, :] = np.sin(X) + np.cos(Y) - np.cos(Z)
# print("shape: ", fld_s.data.shape)
_, axes = plt.subplots(4, 1, squeeze=False)
vlt.plot(fld_s, "z=0,x=:30", ax=axes[0, 0], earth=True, plot_opts="lin_0")
vlt.plot(fld_s, "z=0.75j,x=-4:-1,y=-3j:3j", ax=axes[1, 0], earth=True)
vlt.plot(fld_s, "x=-0.5j:,y=-3j:3j,z=0j", ax=axes[2, 0], earth=True)
vlt.plot(fld_s,
"x=0.0j,y=-5.0j:5.0j",
ax=axes[3, 0],
earth=True,
plot_opts="log,g")
plt.suptitle("3d node centered")
vlt.auto_adjust_subplots()
plt.savefig(next_plot_fname(__file__))
if show:
vlt.mplshow()
def _main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--show", "--plot", action="store_true")
args = vutil.common_argparse(parser)
f = viscid.load_file(os.path.join(sample_dir, 'vpic_sample', 'global.vpc'))
# some slices that are good to check
vlt.clf()
vlt.plot(f['bx']['x=:32.01j'])
plt.close()
vlt.clf()
vlt.plot(f['bx']['x=:33.0j'])
plt.close()
_, axes = vlt.subplots(2, 2, figsize=(8, 4))
for i, ti in enumerate([0, -1]):
f.activate_time(ti)
vlt.plot(f['n_e']['y=0j'], symmetric=False, ax=axes[0, i])
vlt.plot(f['bx']['y=0j'], symmetric=True, ax=axes[1, i])
axes[0, i].set_title(f.get_grid().time)
vlt.auto_adjust_subplots()
plt.savefig(next_plot_fname(__file__))
if args.show:
vlt.show()
plt.close()
return 0
def run_test_iof(f, main__file__, show=False):
vlt.clf()
fac_tot = 1e9 * f["fac_tot"]
plot_args = dict(projection="polar",
lin=[-300, 300],
bounding_lat=35.0,
drawcoastlines=True, # for basemap only
title="Total FAC\n",
gridec='gray',
label_lat=True,
label_mlt=True,
colorbar=True,
cbar_kwargs=dict(pad=0.15) # pad the colorbar away from the plot
)
ax1 = vlt.subplot(121, projection='polar')
vlt.plot(fac_tot, ax=ax1, hemisphere='north', **plot_args)
ax1.annotate('(a)', xy=(0, 0), textcoords="axes fraction",
xytext=(-0.1, 1.0), fontsize=18)
ax2 = vlt.subplot(122, projection='polar')
plot_args['gridec'] = False
vlt.plot(fac_tot, ax=ax2, hemisphere="south", style="contourf",
levels=50, extend="both", **plot_args)
ax2.annotate('(b)', xy=(0, 0), textcoords="axes fraction",
xytext=(-0.1, 1.0), fontsize=18)
vlt.auto_adjust_subplots(subplot_params=dict())
plt.gcf().set_size_inches(8, 4)
plt.savefig(next_plot_fname(main__file__))
if show:
vlt.mplshow()
def run_div_test(fld, exact, title='', show=False, ignore_inexact=False):
t0 = time()
result_numexpr = viscid.div(fld, preferred="numexpr", only=False)
t1 = time()
logger.info("numexpr magnitude runtime: %g", t1 - t0)
result_diff = viscid.diff(result_numexpr, exact)['x=1:-1, y=1:-1, z=1:-1']
if not ignore_inexact and not (result_diff.data < 5e-5).all():
logger.warn("numexpr result is far from the exact result")
logger.info("min/max(abs(numexpr - exact)): %g / %g",
np.min(result_diff.data), np.max(result_diff.data))
planes = ["y=0f", "z=0f"]
nrows = 2
ncols = len(planes)
ax = plt.subplot2grid((nrows, ncols), (0, 0))
ax.axis("equal")
for i, p in enumerate(planes):
plt.subplot2grid((nrows, ncols), (0, i), sharex=ax, sharey=ax)
mpl.plot(result_numexpr, p, show=False)
plt.subplot2grid((nrows, ncols), (1, i), sharex=ax, sharey=ax)
mpl.plot(result_diff, p, show=False)
mpl.plt.suptitle(title)
mpl.auto_adjust_subplots(subplot_params=dict(top=0.9))
mpl.plt.savefig(next_plot_fname(__file__))
if show:
mpl.mplshow()
def run_mag_test(fld, title="", show=False):
vx, vy, vz = fld.component_views() # pylint: disable=W0612
vx, vy, vz = fld.component_fields()
try:
t0 = time()
mag_ne = viscid.magnitude(fld, preferred="numexpr", only=False)
t1 = time()
logger.info("numexpr mag runtime: %g", t1 - t0)
except viscid.verror.BackendNotFound:
xfail("Numexpr is not installed")
planes = ["z=0", "y=0"]
nrows = 4
ncols = len(planes)
ax = plt.subplot2grid((nrows, ncols), (0, 0))
ax.axis("equal")
for ind, p in enumerate(planes):
plt.subplot2grid((nrows, ncols), (0, ind), sharex=ax, sharey=ax)
mpl.plot(vx, p, show=False)
plt.subplot2grid((nrows, ncols), (1, ind), sharex=ax, sharey=ax)
mpl.plot(vy, p, show=False)
plt.subplot2grid((nrows, ncols), (2, ind), sharex=ax, sharey=ax)
mpl.plot(vz, p, show=False)
plt.subplot2grid((nrows, ncols), (3, ind), sharex=ax, sharey=ax)
mpl.plot(mag_ne, p, show=False)
mpl.plt.suptitle(title)
mpl.auto_adjust_subplots(subplot_params=dict(top=0.9))
mpl.plt.gcf().set_size_inches(6, 7)
mpl.plt.savefig(next_plot_fname(__file__))
if show:
mpl.mplshow()
def run_test_3d(f, main__file__, show=False):
vlt.clf()
slc = "x=-20f:12f, y=0f"
plot_kwargs = dict(title=True, earth=True)
vlt.subplot(141)
vlt.plot(f['pp'], slc, logscale=True, **plot_kwargs)
vlt.subplot(142)
vlt.plot(viscid.magnitude(f['bcc']), slc, logscale=True, **plot_kwargs)
vlt.plot2d_quiver(f['v'][slc],
step=5,
color='y',
pivot='mid',
width=0.03,
scale=600)
vlt.subplot(143)
vlt.plot(f['jy'], slc, clim=(-0.005, 0.005), **plot_kwargs)
vlt.streamplot(f['v'][slc], linewidth=0.3)
vlt.subplot(144)
vlt.plot(f['jy'], "x=7f:12f, y=0f, z=0f")
plt.suptitle("3D File")
vlt.auto_adjust_subplots(subplot_params=dict(top=0.9, wspace=1.3))
plt.gcf().set_size_inches(10, 4)
vlt.savefig(next_plot_fname(main__file__))
if show:
vlt.show()
def run_test_iof(f, main__file__, show=False):
mpl.clf()
fac_tot = 1e9 * f["fac_tot"]
plot_args = dict(projection="polar",
lin=[-300, 300],
bounding_lat=35.0,
drawcoastlines=True, # for basemap only
title="Total FAC\n",
gridec='gray',
label_lat=True,
label_mlt=True,
colorbar=dict(pad=0.1) # pad the colorbar away from the plot
)
ax1 = mpl.subplot(121, projection='polar')
mpl.plot(fac_tot, ax=ax1, hemisphere='north', **plot_args)
ax1.annotate('(a)', xy=(0, 0), textcoords="axes fraction",
xytext=(-0.1, 1.0), fontsize=18)
ax2 = mpl.subplot(122, projection='polar')
plot_args['gridec'] = False
mpl.plot(fac_tot, ax=ax2, hemisphere="south", style="contourf",
levels=50, extend="both", **plot_args)
ax2.annotate('(b)', xy=(0, 0), textcoords="axes fraction",
xytext=(-0.1, 1.0), fontsize=18)
mpl.auto_adjust_subplots(subplot_params=dict())
mpl.plt.gcf().set_size_inches(8, 4)
mpl.plt.savefig(next_plot_fname(main__file__))
if show:
mpl.mplshow()
def run_div_test(fld, exact, title='', show=False, ignore_inexact=False):
t0 = time()
result_numexpr = viscid.div(fld, preferred="numexpr", only=False)
t1 = time()
logger.info("numexpr magnitude runtime: %g", t1 - t0)
result_diff = viscid.diff(result_numexpr, exact)['x=1:-1, y=1:-1, z=1:-1']
if not ignore_inexact and not (result_diff.data < 5e-5).all():
logger.warning("numexpr result is far from the exact result")
logger.info("min/max(abs(numexpr - exact)): %g / %g",
np.min(result_diff.data), np.max(result_diff.data))
planes = ["y=0j", "z=0j"]
nrows = 2
ncols = len(planes)
_, axes = plt.subplots(nrows, ncols, squeeze=False)
for i, p in enumerate(planes):
vlt.plot(result_numexpr, p, ax=axes[0, i], show=False)
vlt.plot(result_diff, p, ax=axes[1, i], show=False)
plt.suptitle(title)
vlt.auto_adjust_subplots(subplot_params=dict(top=0.9))
plt.savefig(next_plot_fname(__file__))
if show:
vlt.mplshow()
def run_test_2d(f, main__file__, show=False):
vlt.clf()
slc = "x=-20j:12j, y=0j"
plot_kwargs = dict(title=True, earth=True)
vlt.subplot(141)
vlt.plot(f['pp'], slc, logscale=True, **plot_kwargs)
vlt.plot(np.abs(f['psi']), style='contour', logscale=True, levels=30,
linewidths=0.8, colors='grey', linestyles='solid', colorbar=None,
x=(-20, 12))
vlt.subplot(142)
vlt.plot(viscid.magnitude(f['bcc']), slc, logscale=True, **plot_kwargs)
vlt.plot2d_quiver(f['v'][slc], step=5, color='y', pivot='mid', width=0.03,
scale=600)
vlt.subplot(143)
vlt.plot(f['jy'], slc, clim=[-0.005, 0.005], **plot_kwargs)
vlt.streamplot(f['v'][slc], linewidth=0.3)
vlt.subplot(144)
vlt.plot(f['jy'], "x=7j:12j, y=0j, z=0j")
plt.suptitle("2D File")
vlt.auto_adjust_subplots(subplot_params=dict(top=0.9, wspace=1.3))
plt.gcf().set_size_inches(10, 4)
vlt.savefig(next_plot_fname(main__file__))
if show:
vlt.show()
def run_mpl_testA(show=False):
logger.info("2D cell centered tests")
x = np.array(np.linspace(-10, 10, 100), dtype=dtype)
y = np.array(np.linspace(-10, 10, 120), dtype=dtype)
z = np.array(np.linspace(-1, 1, 2), dtype=dtype)
fld_s = viscid.empty([x, y, z], center='cell')
Xcc, Ycc, Zcc = fld_s.get_crds_cc(shaped=True) # pylint: disable=unused-variable
fld_s[:, :, :] = np.sin(Xcc) + np.cos(Ycc)
_, axes = plt.subplots(4, 1, squeeze=False)
vlt.plot(fld_s, "y=20j", ax=axes[0, 0], show=False, plot_opts="lin_0")
vlt.plot(fld_s,
"x=0j:20j,y=0j:5j",
ax=axes[1, 0],
earth=True,
show=False,
plot_opts="x_-10_0,y_0_7")
vlt.plot(fld_s, "y=0j", ax=axes[2, 0], show=False, plot_opts="lin_-1_1")
vlt.plot(fld_s,
"z=0j,x=-20j:0j",
ax=axes[3, 0],
earth=True,
show=False,
plot_opts="lin_-5_5")
plt.suptitle("2d cell centered")
vlt.auto_adjust_subplots()
plt.savefig(next_plot_fname(__file__))
if show:
vlt.mplshow()
def run_test(show=False):
f = viscid.load_file(os.path.join(viscid.sample_dir, "amr.xdmf"))
plot_kwargs = dict(patchec='y')
vlt.plot(f['f'], "z=0.0f", **plot_kwargs)
plt.savefig(next_plot_fname(__file__))
if show:
vlt.show()
def run_test(fld, seeds, kind, show=False):
plt.clf()
vlt.plot(viscid.interp(fld, seeds, kind=kind))
plt.title(kind)
plt.savefig(next_plot_fname(__file__))
if show:
vlt.show()
def run_test(fld, seeds, kind, show=False):
plt.clf()
vlt.plot(viscid.interp(fld, seeds, kind=kind))
plt.title(kind)
plt.savefig(next_plot_fname(__file__))
if show:
vlt.show()
def run_test(show=False):
f = viscid.load_file(os.path.join(viscid.sample_dir, "amr.xdmf"))
plot_kwargs = dict(patchec='y')
vlt.plot(f['f'], "z=0.0j", **plot_kwargs)
plt.savefig(next_plot_fname(__file__))
if show:
vlt.show()
def run_test(show=False):
f = viscid.load_file(sample_dir + "/amr.xdmf")
plot_kwargs = dict(patchec="y")
mpl.plot(f["f"], "z=0.0f", **plot_kwargs)
mpl.plt.savefig(next_plot_fname(__file__))
if show:
mpl.show()
def main():
parser = argparse.ArgumentParser(description="Test xdmf")
parser.add_argument("--show", "--plot", action="store_true")
args = vutil.common_argparse(parser)
f = viscid.load_file(sample_dir + '/test.asc')
mpl.plot(f['c1'], show=False)
mpl.plt.savefig(next_plot_fname(__file__))
if args.show:
mpl.show()
def _main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--show", "--plot", action="store_true")
args = vutil.common_argparse(parser)
f = viscid.load_file(os.path.join(viscid.sample_dir, "test.asc"))
vlt.plot(f['c1'], show=False)
plt.savefig(next_plot_fname(__file__))
if args.show:
vlt.show()
return 0
def do_test(lines, scalars, show=False, txt=""):
viscid.logger.info('--> ' + txt)
title = txt + '\n' + "\n".join(textwrap.wrap("scalars = {0}".format(scalars),
width=50))
try:
from viscid.plot import vpyplot as vlt
from matplotlib import pyplot as plt
vlt.clf()
vlt.plot_lines(lines, scalars=scalars)
plt.title(title)
vlt.savefig(next_plot_fname(__file__, series='q2'))
if show:
vlt.show()
except ImportError:
pass
try:
from mayavi import mlab
from viscid.plot import vlab
try:
fig = _global_ns['figure']
vlab.clf()
except KeyError:
fig = vlab.figure(size=[1200, 800], offscreen=not show,
bgcolor=(1, 1, 1), fgcolor=(0, 0, 0))
_global_ns['figure'] = fig
vlab.clf()
vlab.plot_lines3d(lines, scalars=scalars)
vlab.fancy_axes()
mlab.text(0.05, 0.05, title)
vlab.savefig(next_plot_fname(__file__, series='q3'))
if show:
vlab.show(stop=True)
except ImportError:
pass
def do_test(lines, scalars, show=False, txt=""):
viscid.logger.info('--> ' + txt)
title = txt + '\n' + "\n".join(textwrap.wrap("scalars = {0}".format(scalars),
width=50))
try:
from matplotlib import pyplot as plt
from viscid.plot import vpyplot as vlt
vlt.clf()
vlt.plot_lines(lines, scalars=scalars)
plt.title(title)
vlt.savefig(next_plot_fname(__file__, series='q2'))
if show:
vlt.show()
except ImportError:
pass
try:
from mayavi import mlab
from viscid.plot import vlab
try:
fig = _global_ns['figure']
vlab.clf()
except KeyError:
fig = vlab.figure(size=[1200, 800], offscreen=not show,
bgcolor=(1, 1, 1), fgcolor=(0, 0, 0))
_global_ns['figure'] = fig
vlab.clf()
vlab.plot_lines3d(lines, scalars=scalars)
vlab.fancy_axes()
mlab.text(0.05, 0.05, title)
vlab.savefig(next_plot_fname(__file__, series='q3'))
if show:
vlab.show(stop=True)
except ImportError:
pass
def _main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--show", "--plot", action="store_true")
args = vutil.common_argparse(parser)
####### test binary files
f_bin = viscid.load_file(os.path.join(sample_dir, 'ath_sample.*.bin'))
for i, grid in enumerate(f_bin.iter_times(":")):
plt.subplot2grid((2, 2), (0, i))
vlt.plot(grid['bx'])
plt.subplot2grid((2, 2), (1, i))
vlt.plot(grid['by'])
plt.suptitle("athena bin (binary) files")
vlt.auto_adjust_subplots(subplot_params=dict(top=0.9))
plt.savefig(next_plot_fname(__file__))
if args.show:
vlt.show()
plt.clf()
####### test ascii files
f_tab = viscid.load_file(os.path.join(sample_dir, 'ath_sample.*.tab'))
for i, grid in enumerate(f_tab.iter_times(":")):
plt.subplot2grid((2, 2), (0, i))
vlt.plot(grid['bx'])
plt.subplot2grid((2, 2), (1, i))
vlt.plot(grid['by'])
plt.suptitle("athena tab (ascii) files")
vlt.auto_adjust_subplots(subplot_params=dict(top=0.9))
plt.savefig(next_plot_fname(__file__))
if args.show:
vlt.show()
plt.clf()
return 0
def _main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--show", "--plot", action="store_true")
args = vutil.common_argparse(parser)
####### test binary files
f_bin = viscid.load_file(os.path.join(sample_dir, 'ath_sample.*.bin'))
_, axes = plt.subplots(2, 2)
for i, grid in enumerate(f_bin.iter_times(":")):
vlt.plot(grid['bx'], ax=axes[0, i])
vlt.plot(grid['by'], ax=axes[1, i])
plt.suptitle("athena bin (binary) files")
vlt.auto_adjust_subplots(subplot_params=dict(top=0.9))
plt.savefig(next_plot_fname(__file__))
if args.show:
vlt.show()
plt.close()
####### test ascii files
f_tab = viscid.load_file(os.path.join(sample_dir, 'ath_sample.*.tab'))
_, axes = plt.subplots(2, 2)
for i, grid in enumerate(f_tab.iter_times(":")):
vlt.plot(grid['bx'], ax=axes[0, i])
vlt.plot(grid['by'], ax=axes[1, i])
plt.suptitle("athena tab (ascii) files")
vlt.auto_adjust_subplots(subplot_params=dict(top=0.9))
plt.savefig(next_plot_fname(__file__))
if args.show:
vlt.show()
plt.close()
return 0
def main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--show", "--plot", action="store_true")
args = vutil.common_argparse(parser)
####### test binary files
f_bin = viscid.load_file(sample_dir + '/ath_sample.*.bin')
for i, grid in enumerate(f_bin.iter_times(":")):
plt.subplot2grid((2, 2), (0, i))
mpl.plot(grid['bx'])
plt.subplot2grid((2, 2), (1, i))
mpl.plot(grid['by'])
mpl.plt.suptitle("athena bin (binary) files")
mpl.auto_adjust_subplots(subplot_params=dict(top=0.9))
mpl.plt.savefig(next_plot_fname(__file__))
if args.show:
mpl.show()
plt.clf()
####### test ascii files
f_tab = viscid.load_file(sample_dir + '/ath_sample.*.tab')
for i, grid in enumerate(f_tab.iter_times(":")):
plt.subplot2grid((2, 2), (0, i))
mpl.plot(grid['bx'])
plt.subplot2grid((2, 2), (1, i))
mpl.plot(grid['by'])
mpl.plt.suptitle("athena tab (ascii) files")
mpl.auto_adjust_subplots(subplot_params=dict(top=0.9))
mpl.plt.savefig(next_plot_fname(__file__))
if args.show:
mpl.show()
plt.clf()
def _main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--show", "--plot", action="store_true")
parser.add_argument("--keep", action="store_true")
args = vutil.common_argparse(parser)
# setup a simple force free field
x = np.linspace(-2, 2, 20)
y = np.linspace(-2.5, 2.5, 25)
z = np.linspace(-3, 3, 30)
psi = viscid.empty([x, y, z], name='psi', center='node')
b = viscid.empty([x, y, z],
nr_comps=3,
name='b',
center='cell',
layout='interlaced')
X, Y, Z = psi.get_crds_nc("xyz", shaped=True)
Xcc, Ycc, Zcc = psi.get_crds_cc("xyz", shaped=True)
psi[:, :, :] = 0.5 * (X**2 + Y**2 - Z**2)
b['x'] = Xcc
b['y'] = Ycc
b['z'] = -Zcc
# save an hdf5 file with companion xdmf file
h5_fname = os.path.join(viscid.sample_dir, "test.h5")
viscid.save_fields(h5_fname, [psi, b])
# load the companion xdmf file
xdmf_fname = h5_fname[:-3] + ".xdmf"
f = viscid.load_file(xdmf_fname)
plt.subplot(131)
vlt.plot(f['psi'], "y=0")
plt.subplot(132)
vlt.plot(f['b'].component_fields()[0], "y=0")
plt.subplot(133)
vlt.plot(f['b'].component_fields()[2], "y=0")
plt.savefig(next_plot_fname(__file__))
if args.show:
plt.show()
if not args.keep:
os.remove(h5_fname)
os.remove(xdmf_fname)
return 0
def _main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--show", "--plot", action="store_true")
parser.add_argument("--keep", action="store_true")
args = vutil.common_argparse(parser)
# setup a simple force free field
x = np.linspace(-2, 2, 20)
y = np.linspace(-2.5, 2.5, 25)
z = np.linspace(-3, 3, 30)
psi = viscid.empty([x, y, z], name='psi', center='node')
b = viscid.empty([x, y, z], nr_comps=3, name='b', center='cell',
layout='interlaced')
X, Y, Z = psi.get_crds_nc("xyz", shaped=True)
Xcc, Ycc, Zcc = psi.get_crds_cc("xyz", shaped=True)
psi[:, :, :] = 0.5 * (X**2 + Y**2 - Z**2)
b['x'] = Xcc
b['y'] = Ycc
b['z'] = -Zcc
# save an hdf5 file with companion xdmf file
h5_fname = os.path.join(".", "test.h5")
viscid.save_fields(h5_fname, [psi, b])
# load the companion xdmf file
xdmf_fname = h5_fname[:-3] + ".xdmf"
f = viscid.load_file(xdmf_fname)
plt.subplot(131)
vlt.plot(f['psi'], "y=0")
plt.subplot(132)
vlt.plot(f['b'].component_fields()[0], "y=0")
plt.subplot(133)
vlt.plot(f['b'].component_fields()[2], "y=0")
plt.savefig(next_plot_fname(__file__))
if args.show:
plt.show()
if not args.keep:
os.remove(h5_fname)
os.remove(xdmf_fname)
return 0
def main():
parser = argparse.ArgumentParser(description="Test xdmf")
parser.add_argument("--show", "--plot", action="store_true")
parser.add_argument("--keep", action="store_true")
args = vutil.common_argparse(parser)
# setup a simple force free field
x = np.linspace(-2, 2, 20)
y = np.linspace(-2.5, 2.5, 25)
z = np.linspace(-3, 3, 30)
psi = viscid.empty([x, y, z], name="psi", center="node")
b = viscid.empty([x, y, z], nr_comps=3, name="b", center="cell", layout="interlaced")
X, Y, Z = psi.get_crds_nc("xyz", shaped=True)
Xcc, Ycc, Zcc = psi.get_crds_cc("xyz", shaped=True)
psi[:, :, :] = 0.5 * (X ** 2 + Y ** 2 - Z ** 2)
b["x"] = Xcc
b["y"] = Ycc
b["z"] = -Zcc
# save an hdf5 file with companion xdmf file
h5_fname = sample_dir + "/test.h5"
viscid.save_fields(h5_fname, [psi, b])
# load the companion xdmf file
xdmf_fname = h5_fname[:-3] + ".xdmf"
f = viscid.load_file(xdmf_fname)
plt.subplot(131)
mpl.plot(f["psi"], "y=0")
plt.subplot(132)
mpl.plot(f["b"].component_fields()[0], "y=0")
plt.subplot(133)
mpl.plot(f["b"].component_fields()[2], "y=0")
mpl.plt.savefig(next_plot_fname(__file__))
if args.show:
plt.show()
if not args.keep:
os.remove(h5_fname)
os.remove(xdmf_fname)
def main():
parser = argparse.ArgumentParser(description="Test xdmf")
parser.add_argument("--show", "--plot", action="store_true")
parser.add_argument("--keep", action="store_true")
args = vutil.common_argparse(parser)
# setup a simple force free field
x = np.linspace(-2, 2, 20)
y = np.linspace(-2.5, 2.5, 25)
z = np.linspace(-3, 3, 30)
psi = viscid.empty([x, y, z], name='psi', center='node')
b = viscid.empty([x, y, z], nr_comps=3, name='b', center='cell',
layout='interlaced')
X, Y, Z = psi.get_crds_nc("xyz", shaped=True)
Xcc, Ycc, Zcc = psi.get_crds_cc("xyz", shaped=True)
psi[:, :, :] = 0.5 * (X**2 + Y**2 - Z**2)
b['x'] = Xcc
b['y'] = Ycc
b['z'] = -Zcc
fname = sample_dir + '/test.npz'
viscid.save_fields(fname, [psi, b])
f = viscid.load_file(fname)
plt.subplot(131)
mpl.plot(f['psi'], "y=0")
plt.subplot(132)
mpl.plot(f['b'].component_fields()[0], "y=0")
plt.subplot(133)
mpl.plot(f['b'].component_fields()[2], "y=0")
mpl.plt.savefig(next_plot_fname(__file__))
if args.show:
plt.show()
if not args.keep:
os.remove(fname)
def run_test_timeseries(f, main__file__, show=False):
vlt.clf()
ntimes = f.nr_times()
t = [None] * ntimes
pressure = np.zeros((ntimes, ), dtype='f4')
for i, grid in enumerate(f.iter_times()):
t[i] = grid.time_as_datetime()
pressure[i] = grid['pp']['x=10.0f, y=0.0f, z=0.0f']
plt.plot(t, pressure)
plt.ylabel('Pressure')
dateFmt = mdates.DateFormatter('%H:%M:%S')
plt.gca().xaxis.set_major_formatter(dateFmt)
plt.gcf().autofmt_xdate()
plt.gca().grid(True)
plt.gcf().set_size_inches(8, 4)
plt.savefig(next_plot_fname(main__file__))
if show:
vlt.mplshow()
def run_mpl_testA(show=False):
logger.info("2D cell centered tests")
x = np.array(np.linspace(-10, 10, 100), dtype=dtype)
y = np.array(np.linspace(-10, 10, 120), dtype=dtype)
z = np.array(np.linspace(-1, 1, 2), dtype=dtype)
fld_s = viscid.empty([x, y, z], center='cell')
Xcc, Ycc, Zcc = fld_s.get_crds_cc(shaped=True) # pylint: disable=unused-variable
fld_s[:, :, :] = np.sin(Xcc) + np.cos(Ycc)
nrows = 4
ncols = 1
plt.subplot2grid((nrows, ncols), (0, 0))
vlt.plot(fld_s, "y=20f", show=False, plot_opts="lin_0")
plt.subplot2grid((nrows, ncols), (1, 0))
vlt.plot(fld_s,
"x=0f:20f,y=0f:5f",
earth=True,
show=False,
plot_opts="x_-10_0,y_0_7")
plt.subplot2grid((nrows, ncols), (2, 0))
vlt.plot(fld_s, "y=0f", show=False, plot_opts="lin_-1_1")
plt.subplot2grid((nrows, ncols), (3, 0))
vlt.plot(fld_s,
"z=0f,x=-20f:0f",
earth=True,
show=False,
plot_opts="lin_-5_5")
plt.suptitle("2d cell centered")
vlt.auto_adjust_subplots()
plt.savefig(next_plot_fname(__file__))
if show:
vlt.mplshow()
def _main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--notwo", dest='notwo', action="store_true")
parser.add_argument("--nothree", dest='nothree', action="store_true")
parser.add_argument("--show", "--plot", action="store_true")
args = viscid.vutil.common_argparse(parser, default_verb=0)
plot2d = not args.notwo
plot3d = not args.nothree
# plot2d = True
# plot3d = True
# args.show = True
img = np.load(os.path.join(sample_dir, "logo.npy"))
x = np.linspace(-1, 1, img.shape[0])
y = np.linspace(-1, 1, img.shape[1])
z = np.linspace(-1, 1, img.shape[2])
logo = viscid.arrays2field([x, y, z], img)
if 1:
viscid.logger.info('Testing Line...')
seeds = viscid.Line([-1, -1, 0], [1, 1, 2], n=5)
run_test(logo, seeds, plot2d=plot2d, plot3d=plot3d, show=args.show)
if 1:
viscid.logger.info('Testing Plane...')
seeds = viscid.Plane([0.0, 0.0, 0.0], [1, 1, 1], [1, 0, 0], 2, 2,
nl=160, nm=170, NL_are_vectors=True)
run_test(logo, seeds, plot2d=plot2d, plot3d=plot3d, show=args.show)
if 1:
viscid.logger.info('Testing Volume...')
seeds = viscid.Volume([-0.8, -0.8, -0.8], [0.8, 0.8, 0.8],
n=[64, 64, 3])
# note: can't make a 2d plot of the volume w/o a slice
run_test(logo, seeds, plot2d=False, plot3d=plot3d, add_title="3d",
show=args.show)
if 1:
viscid.logger.info('Testing Volume (with ignorable dim)...')
seeds = viscid.Volume([-0.8, -0.8, 0.0], [0.8, 0.8, 0.0],
n=[64, 64, 1])
run_test(logo, seeds, plot2d=plot2d, plot3d=plot3d, add_title="2d",
show=args.show)
if 1:
viscid.logger.info('Testing Spherical Sphere (phi, theta)...')
seeds = viscid.Sphere([0, 0, 0], r=1.0, ntheta=160, nphi=170,
pole=[-1, -1, -1], theta_phi=False)
run_test(logo, seeds, plot2d=plot2d, plot3d=plot3d, add_title="PT",
show=args.show)
if 1:
viscid.logger.info('Testing Spherical Sphere (theta, phi)...')
seeds = viscid.Sphere([0, 0, 0], r=1.0, ntheta=160, nphi=170,
pole=[-1, -1, -1], theta_phi=True)
run_test(logo, seeds, plot2d=plot2d, plot3d=plot3d, add_title="TP",
show=args.show)
if 1:
viscid.logger.info('Testing Spherical Cap (phi, theta)...')
seeds = viscid.SphericalCap(p0=[0, 0, 0], r=1.0, ntheta=64, nphi=80,
pole=[-1, -1, -1], theta_phi=False)
run_test(logo, seeds, plot2d=plot2d, plot3d=plot3d, add_title="PT",
view_kwargs=dict(azimuth=180, elevation=180), show=args.show)
if 1:
viscid.logger.info('Testing Spherical Cap (theta, phi)...')
seeds = viscid.SphericalCap(p0=[0, 0, 0], r=1.0, ntheta=64, nphi=80,
pole=[-1, -1, -1], theta_phi=True)
run_test(logo, seeds, plot2d=plot2d, plot3d=plot3d, add_title="TP",
view_kwargs=dict(azimuth=180, elevation=180), show=args.show)
if 1:
viscid.logger.info('Testing Spherical Patch...')
seeds = viscid.SphericalPatch(p0=[0, 0, 0], p1=[0, -0, -1],
max_alpha=30.0, max_beta=59.9,
nalpha=65, nbeta=80, r=0.5, roll=45.0)
run_test(logo, seeds, plot2d=plot2d, plot3d=plot3d, show=args.show)
if 1:
viscid.logger.info('Testing RectilinearMeshPoints...')
f = viscid.load_file(os.path.join(sample_dir, 'sample_xdmf.3d.[-1].xdmf'))
slc = 'x=-40f:12f, y=-10f:10f, z=-10f:10f'
b = f['b'][slc]
z = b.get_crd('z')
sheet_iz = np.argmin(b['x']**2, axis=2)
sheet_pts = b['z=0:1'].get_points()
sheet_pts[2, :] = z[sheet_iz].reshape(-1)
isphere_mask = np.sum(sheet_pts[:2, :]**2, axis=0) < 5**2
day_mask = sheet_pts[0:1, :] > -1.0
sheet_pts[2, :] = np.choose(isphere_mask, [sheet_pts[2, :], 0])
sheet_pts[2, :] = np.choose(day_mask, [sheet_pts[2, :], 0])
nx, ny, _ = b.sshape
sheet_seed = viscid.RectilinearMeshPoints(sheet_pts.reshape(3, nx, ny))
vx_sheet = viscid.interp_nearest(f['vx'], sheet_seed)
try:
if not plot2d:
raise ImportError
from matplotlib import pyplot as plt
from viscid.plot import vpyplot as vlt
vlt.clf()
vlt.plot(vx_sheet, symmetric=True)
plt.savefig(next_plot_fname(__file__, series='2d'))
if args.show:
vlt.show()
except ImportError:
pass
try:
if not plot3d:
raise ImportError
from viscid.plot import vlab
vlab.clf()
mesh = vlab.mesh_from_seeds(sheet_seed, scalars=vx_sheet,
clim=(-400, 400))
vlab.plot_earth_3d(crd_system=b)
vlab.view(azimuth=+90.0 + 45.0, elevation=90.0 - 25.0,
distance=30.0, focalpoint=(-10.0, +1.0, +1.0))
vlab.title("RectilinearMeshPoints")
vlab.savefig(next_plot_fname(__file__, series='3d'))
if args.show:
vlab.show()
except ImportError:
pass
# prevent weird xorg bad-instructions on tear down
if 'figure' in _global_ns and _global_ns['figure'] is not None:
from viscid.plot import vlab
vlab.mlab.close(_global_ns['figure'])
return 0
def _main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--show", "--plot", action="store_true")
parser.add_argument("--interact", "-i", action="store_true")
args = vutil.common_argparse(parser)
f3d = viscid.load_file(os.path.join(sample_dir, 'sample_xdmf.3d.[0].xdmf'))
f_iono = viscid.load_file(
os.path.join(sample_dir, "sample_xdmf.iof.[0].xdmf"))
b = f3d["b"]
v = f3d["v"]
pp = f3d["pp"]
e = f3d["e_cc"]
vlab.mlab.options.offscreen = not args.show
vlab.figure(size=(1280, 800))
##########################################################
# make b a dipole inside 3.1Re and set e = 0 inside 4.0Re
cotr = viscid.Cotr(time='1990-03-21T14:48', dip_tilt=0.0) # pylint: disable=not-callable
moment = cotr.get_dipole_moment(crd_system=b)
isphere_mask = viscid.make_spherical_mask(b, rmax=3.1)
viscid.fill_dipole(b, m=moment, mask=isphere_mask)
e_mask = viscid.make_spherical_mask(b, rmax=4.0)
viscid.set_in_region(e, 0.0, alpha=0.0, mask=e_mask, out=e)
######################################
# plot a scalar cut plane of pressure
pp_src = vlab.field2source(pp, center='node')
scp = vlab.scalar_cut_plane(pp_src,
plane_orientation='z_axes',
opacity=0.5,
transparent=True,
view_controls=False,
cmap="inferno",
logscale=True)
scp.implicit_plane.normal = [0, 0, -1]
scp.implicit_plane.origin = [0, 0, 0]
scp.enable_contours = True
scp.contour.filled_contours = True
scp.contour.number_of_contours = 64
cbar = vlab.colorbar(scp, title=pp.name, orientation='vertical')
cbar.scalar_bar_representation.position = (0.01, 0.13)
cbar.scalar_bar_representation.position2 = (0.08, 0.76)
######################################
# plot a vector cut plane of the flow
vcp = vlab.vector_cut_plane(v,
scalars=pp_src,
plane_orientation='z_axes',
view_controls=False,
mode='arrow',
cmap='Greens_r')
vcp.implicit_plane.normal = [0, 0, -1]
vcp.implicit_plane.origin = [0, 0, 0]
##############################
# plot very faint isosurfaces
vx_src = vlab.field2source(v['x'], center='node')
iso = vlab.iso_surface(vx_src,
contours=[0.0],
opacity=0.008,
cmap='Pastel1')
##############################################################
# calculate B field lines && topology in Viscid and plot them
seedsA = viscid.SphericalPatch([0, 0, 0], [2, 0, 1],
30,
15,
r=5.0,
nalpha=5,
nbeta=5)
seedsB = viscid.SphericalPatch([0, 0, 0], [1.9, 0, -20],
30,
15,
r=5.0,
nalpha=1,
nbeta=5)
seeds = np.concatenate([seedsA, seedsB], axis=1)
b_lines, topo = viscid.calc_streamlines(b,
seeds,
ibound=3.5,
obound0=[-25, -20, -20],
obound1=[15, 20, 20],
wrap=True)
vlab.plot_lines(b_lines, scalars=viscid.topology2color(topo))
######################################################################
# plot a random circle at geosynchronus orbit with scalars colored
# by the Matplotlib viridis color map, just because we can; this is
# a useful toy for debugging
circle = viscid.Circle(p0=[0, 0, 0], r=6.618, n=128, endpoint=True)
scalar = np.sin(circle.as_local_coordinates().get_crd('phi'))
surf = vlab.plot_line(circle.get_points(),
scalars=scalar,
clim=0.8,
cmap="Spectral_r")
######################################################################
# Use Mayavi (VTK) to calculate field lines using an interactive seed
# These field lines are colored by E parallel
epar = viscid.project(e, b)
epar.name = "Epar"
bsl2 = vlab.streamline(b,
epar,
seedtype='plane',
seed_resolution=4,
integration_direction='both',
clim=(-0.05, 0.05))
# now tweak the VTK streamlines
bsl2.stream_tracer.maximum_propagation = 20.
bsl2.seed.widget.origin = [-11, -5.0, -2.0]
bsl2.seed.widget.point1 = [-11, 5.0, -2.0]
bsl2.seed.widget.point2 = [-11.0, -5.0, 2.0]
bsl2.streamline_type = 'tube'
bsl2.tube_filter.radius = 0.03
bsl2.stop() # this stop/start was a hack to get something to update
bsl2.start()
bsl2.seed.widget.enabled = False
cbar = vlab.colorbar(bsl2,
title=epar.name,
label_fmt='%.3f',
orientation='horizontal')
cbar.scalar_bar_representation.position = (0.15, 0.01)
cbar.scalar_bar_representation.position2 = (0.72, 0.10)
###############################################################
# Make a contour at the open-closed boundary in the ionosphere
seeds_iono = viscid.Sphere(r=1.063,
pole=-moment,
ntheta=256,
nphi=256,
thetalim=(0, 180),
philim=(0, 360),
crd_system=b)
_, topo_iono = viscid.calc_streamlines(b,
seeds_iono,
ibound=1.0,
nr_procs='all',
output=viscid.OUTPUT_TOPOLOGY)
topo_iono = np.log2(topo_iono)
m = vlab.mesh_from_seeds(seeds_iono,
scalars=topo_iono,
opacity=1.0,
clim=(0, 3),
color=(0.992, 0.445, 0.0))
m.enable_contours = True
m.actor.property.line_width = 4.0
m.contour.number_of_contours = 4
####################################################################
# Plot the ionosphere, note that the sample data has the ionosphere
# at a different time, so the open-closed boundary found above
# will not be consistant with the field aligned currents
fac_tot = 1e9 * f_iono['fac_tot']
m = vlab.plot_ionosphere(fac_tot,
bounding_lat=30.0,
vmin=-300,
vmax=300,
opacity=0.75,
rotate=cotr,
crd_system=b)
m.actor.property.backface_culling = True
########################################################################
# Add some markers for earth, i.e., real earth, and dayside / nightside
# representation
vlab.plot_blue_marble(r=1.0,
lines=False,
ntheta=64,
nphi=128,
rotate=cotr,
crd_system=b)
# now shade the night side with a transparent black hemisphere
vlab.plot_earth_3d(radius=1.01, night_only=True, opacity=0.5, crd_system=b)
####################
# Finishing Touches
# vlab.axes(pp_src, nb_labels=5)
oa = vlab.orientation_axes()
oa.marker.set_viewport(0.75, 0.75, 1.0, 1.0)
# note that resize won't work if the current figure has the
# off_screen_rendering flag set
# vlab.resize([1200, 800])
vlab.view(azimuth=45, elevation=70, distance=35.0, focalpoint=[-2, 0, 0])
##############
# Save Figure
# print("saving png")
# vlab.savefig('mayavi_msphere_sample.png')
# print("saving x3d")
# # x3d files can be turned into COLLADA files with meshlab, and
# # COLLADA (.dae) files can be opened in OS X's preview
# #
# # IMPORTANT: for some reason, using bounding_lat in vlab.plot_ionosphere
# # causes a segfault when saving x3d files
# #
# vlab.savefig('mayavi_msphere_sample.x3d')
# print("done")
vlab.savefig(next_plot_fname(__file__))
###########################
# Interact Programatically
if args.interact:
vlab.interact()
#######################
# Interact Graphically
if args.show:
vlab.show()
try:
vlab.mlab.close()
except AttributeError:
pass
return 0
def _main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--show", "--plot", action="store_true")
args = vutil.common_argparse(parser)
b, e = make_arcade(8.0, N=[64, 64, 64])
epar = viscid.project(e, b)
epar.pretty_name = "E parallel"
###############
# Calculate Xi
seeds = viscid.Volume(xl=[-10, 0.0, -10], xh=[10, 0.0, 10], n=[64, 1, 64])
b_lines, _ = viscid.calc_streamlines(b, seeds)
xi_dat = viscid.integrate_along_lines(b_lines, e, reduction='dot')
xi = seeds.wrap_field(xi_dat, name='xi', pretty_name=r"$\Xi$")
################################
# Make 2D Matplotlib plot of Xi
vlt.plot(xi,
x=(-10, 10),
y=(-10, 10),
style='contourf',
levels=256,
lin=(2e-4, 1.5718))
vlt.plot(xi,
x=(-10, 10),
y=(-10, 10),
style='contour',
colors='grey',
levels=[0.5, 1.0])
vlt.savefig(next_plot_fname(__file__))
if args.show:
vlt.show()
############################################################
# Make 3D mayavi plot of Xi and the 'brightest' field lines
# as well as some other field lines for context
try:
from viscid.plot import vlab
except ImportError:
xfail("Mayavi not installed")
vlab.figure(size=[1200, 800], offscreen=not args.show)
inds = np.argsort(xi_dat)[-64:]
inds = np.concatenate([inds, np.arange(len(xi_dat))[::71]])
s = vlab.plot_lines(b_lines[inds], scalars=epar, cmap='viridis')
vlab.mesh_from_seeds(seeds, scalars=xi, cmap='inferno')
vlab.colorbar(s, orientation='horizontal', title=epar.pretty_name)
# vlab.streamline(b, scalars=e, seedtype='sphere', seed_resolution=4,
# integration_direction='both')
oa = vlab.orientation_axes()
oa.marker.set_viewport(0.75, 0.75, 1.0, 1.0)
vlab.view(roll=0,
azimuth=90,
elevation=25,
distance=30.0,
focalpoint=[0, 2, 0])
vlab.savefig(next_plot_fname(__file__))
if args.show:
vlab.show()
try:
vlab.mlab.close()
except AttributeError:
pass
return 0
def _main():
global offscreen_vlab
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--notwo", dest='notwo', action="store_true")
parser.add_argument("--nothree", dest='nothree', action="store_true")
parser.add_argument("--show", "--plot", action="store_true")
args = viscid.vutil.common_argparse(parser, default_verb=0)
plot2d = not args.notwo
plot3d = not args.nothree
# plot2d = True
# plot3d = True
# args.show = True
offscreen_vlab = not args.show
img = np.load(os.path.join(sample_dir, "logo.npy"))
x = np.linspace(-1, 1, img.shape[0])
y = np.linspace(-1, 1, img.shape[1])
z = np.linspace(-1, 1, img.shape[2])
logo = viscid.arrays2field([x, y, z], img)
if 1:
viscid.logger.info('Testing Point with custom local coordinates...')
pts = np.vstack([[-1, -0.5, 0, 0.5, 1],
[-1, -0.5, 0, 0.5, 1],
[ 0, 0.5, 1, 1.5, 2]])
local_crds = viscid.asarray_datetime64([0, 60, 120, 180, 240],
conservative=True)
seeds = viscid.Point(pts, local_crds=local_crds)
run_test(logo, seeds, plot2d=plot2d, plot3d=plot3d, show=args.show)
if 1:
viscid.logger.info('Testing Line...')
seeds = viscid.Line([-1, -1, 0], [1, 1, 2], n=5)
run_test(logo, seeds, plot2d=plot2d, plot3d=plot3d, show=args.show)
if 1:
viscid.logger.info('Testing Plane...')
seeds = viscid.Plane([0.0, 0.0, 0.0], [1, 1, 1], [1, 0, 0], 2, 2,
nl=160, nm=170, NL_are_vectors=True)
run_test(logo, seeds, plot2d=plot2d, plot3d=plot3d, show=args.show)
if 1:
viscid.logger.info('Testing Volume...')
seeds = viscid.Volume([-0.8, -0.8, -0.8], [0.8, 0.8, 0.8],
n=[64, 64, 3])
# note: can't make a 2d plot of the volume w/o a slice
run_test(logo, seeds, plot2d=False, plot3d=plot3d, add_title="3d",
show=args.show)
if 1:
viscid.logger.info('Testing Volume (with ignorable dim)...')
seeds = viscid.Volume([-0.8, -0.8, 0.0], [0.8, 0.8, 0.0],
n=[64, 64, 1])
run_test(logo, seeds, plot2d=plot2d, plot3d=plot3d, add_title="2d",
show=args.show)
if 1:
viscid.logger.info('Testing Spherical Sphere (phi, theta)...')
seeds = viscid.Sphere([0, 0, 0], r=1.0, ntheta=160, nphi=170,
pole=[-1, -1, -1], theta_phi=False)
run_test(logo, seeds, plot2d=plot2d, plot3d=plot3d, add_title="PT",
show=args.show)
if 1:
viscid.logger.info('Testing Spherical Sphere (theta, phi)...')
seeds = viscid.Sphere([0, 0, 0], r=1.0, ntheta=160, nphi=170,
pole=[-1, -1, -1], theta_phi=True)
run_test(logo, seeds, plot2d=plot2d, plot3d=plot3d, add_title="TP",
show=args.show)
if 1:
viscid.logger.info('Testing Spherical Cap (phi, theta)...')
seeds = viscid.SphericalCap(p0=[0, 0, 0], r=1.0, ntheta=64, nphi=80,
pole=[-1, -1, -1], theta_phi=False)
run_test(logo, seeds, plot2d=plot2d, plot3d=plot3d, add_title="PT",
view_kwargs=dict(azimuth=180, elevation=180), show=args.show)
if 1:
viscid.logger.info('Testing Spherical Cap (theta, phi)...')
seeds = viscid.SphericalCap(p0=[0, 0, 0], r=1.0, ntheta=64, nphi=80,
pole=[-1, -1, -1], theta_phi=True)
run_test(logo, seeds, plot2d=plot2d, plot3d=plot3d, add_title="TP",
view_kwargs=dict(azimuth=180, elevation=180), show=args.show)
if 1:
viscid.logger.info('Testing Spherical Patch...')
seeds = viscid.SphericalPatch(p0=[0, 0, 0], p1=[0, -0, -1],
max_alpha=30.0, max_beta=59.9,
nalpha=65, nbeta=80, r=0.5, roll=45.0)
run_test(logo, seeds, plot2d=plot2d, plot3d=plot3d, show=args.show)
if 1:
# this spline test is very custom
viscid.logger.info('Testing Spline...')
try:
import scipy.interpolate as interpolate
except ImportError:
msg = "XFail: ImportError (is scipy installed?)"
if plot2d:
try:
from viscid.plot import vpyplot as vlt
from matplotlib import pyplot as plt
plt.clf()
plt.annotate(msg, xy=(0.3, 0.4), xycoords='axes fraction')
plt.savefig(next_plot_fname(__file__, series='2d'))
plt.savefig(next_plot_fname(__file__, series='2d'))
plt.savefig(next_plot_fname(__file__, series='3d'))
if args.show:
plt.show()
except ImportError:
pass
else:
knots = np.array([[ 0.2, 0.5, 0.0], [-0.2, 0.5, 0.2],
[-0.2, 0.0, 0.4], [ 0.2, 0.0, 0.2],
[ 0.2, -0.5, 0.0], [-0.2, -0.5, 0.2]]).T
seed_name = "Spline"
fld = logo
seeds = viscid.Spline(knots)
seed_pts = seeds.get_points()
interp_fld = viscid.interp_trilin(fld, seeds)
if plot2d:
try:
from viscid.plot import vpyplot as vlt
from matplotlib import pyplot as plt
plt.clf()
vlt.plot(interp_fld)
plt.title(seed_name)
plt.savefig(next_plot_fname(__file__, series='2d'))
if args.show:
plt.show()
plt.clf()
from matplotlib import rcParams
_ms = rcParams['lines.markersize']
plt.gca().scatter(knots[0, :], knots[1, :],
s=(2 * _ms)**2, marker='^', color='y')
plt.gca().scatter(seed_pts[0, :], seed_pts[1, :],
s=(1.5 * _ms)**2, marker='o', color='k')
vlt.plot2d_line(seed_pts, scalars=interp_fld.flat_data,
symdir='z')
plt.title(seed_name)
plt.savefig(next_plot_fname(__file__, series='2d'))
if args.show:
plt.show()
except ImportError:
pass
if plot3d:
try:
vlab, _ = get_mvi_fig()
vlab.points3d(knots[0], knots[1], knots[2],
color=(1.0, 1.0, 0), scale_mode='none',
scale_factor=0.04)
p = vlab.points3d(seed_pts[0], seed_pts[1], seed_pts[2],
color=(0, 0, 0), scale_mode='none',
scale_factor=0.03)
vlab.plot_line(seed_pts, scalars=interp_fld.flat_data,
tube_radius=0.01)
vlab.axes(p)
vlab.title(seed_name)
vlab.mlab.roll(-90.0)
vlab.savefig(next_plot_fname(__file__, series='3d'))
if args.show:
vlab.show(stop=True)
except ImportError:
pass
if 1:
viscid.logger.info('Testing RectilinearMeshPoints...')
f = viscid.load_file(os.path.join(sample_dir, 'sample_xdmf.3d.[-1].xdmf'))
slc = 'x=-40j:12j, y=-10j:10j, z=-10j:10j'
b = f['b'][slc]
z = b.get_crd('z')
sheet_iz = np.argmin(b['x']**2, axis=2)
sheet_pts = b['z=0:1'].get_points()
sheet_pts[2, :] = z[sheet_iz].reshape(-1)
isphere_mask = np.sum(sheet_pts[:2, :]**2, axis=0) < 5**2
day_mask = sheet_pts[0:1, :] > -1.0
sheet_pts[2, :] = np.choose(isphere_mask, [sheet_pts[2, :], 0])
sheet_pts[2, :] = np.choose(day_mask, [sheet_pts[2, :], 0])
nx, ny, _ = b.sshape
sheet_seed = viscid.RectilinearMeshPoints(sheet_pts.reshape(3, nx, ny))
vx_sheet = viscid.interp_nearest(f['vx'], sheet_seed)
try:
if not plot2d:
raise ImportError
from viscid.plot import vpyplot as vlt
from matplotlib import pyplot as plt
vlt.clf()
vlt.plot(vx_sheet, symmetric=True)
plt.savefig(next_plot_fname(__file__, series='2d'))
if args.show:
vlt.show()
except ImportError:
pass
try:
if not plot3d:
raise ImportError
vlab, _ = get_mvi_fig()
mesh = vlab.mesh_from_seeds(sheet_seed, scalars=vx_sheet,
clim=(-400, 400))
vlab.plot_earth_3d(crd_system=b)
vlab.view(azimuth=+90.0 + 45.0, elevation=90.0 - 25.0,
distance=30.0, focalpoint=(-10.0, +1.0, +1.0))
vlab.title("RectilinearMeshPoints")
vlab.savefig(next_plot_fname(__file__, series='3d'))
if args.show:
vlab.show(stop=True)
except ImportError:
pass
# prevent weird xorg bad-instructions on tear down
if 'figure' in _global_ns and _global_ns['figure'] is not None:
from viscid.plot import vlab
vlab.mlab.close(_global_ns['figure'])
return 0
def _main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--prof", action="store_true")
parser.add_argument("--show", "--plot", action="store_true")
args = vutil.common_argparse(parser)
b = viscid.make_dipole(l=(-5, -5, -5), h=(5, 5, 5), n=(255, 255, 127),
m=(0, 0, -1))
b2 = np.sum(b * b, axis=b.nr_comp)
if args.prof:
print("Without boundaries")
viscid.timeit(viscid.grad, b2, bnd=False, timeit_repeat=10,
timeit_print_stats=True)
print("With boundaries")
viscid.timeit(viscid.grad, b2, bnd=True, timeit_repeat=10,
timeit_print_stats=True)
grad_b2 = viscid.grad(b2)
grad_b2.pretty_name = r"$\nabla$ B$^2$"
conv = viscid.convective_deriv(b)
conv.pretty_name = r"(B $\cdot \nabla$) B"
_ = plt.figure(figsize=(9, 4.2))
ax1 = vlt.subplot(231)
vlt.plot(b2['z=0f'], logscale=True)
vlt.plot(b2['z=0f'], logscale=True, style='contour', levels=10, colors='grey')
# vlt.plot2d_quiver(viscid.normalize(b['z=0f']), step=16, pivot='mid')
ax2 = vlt.subplot(234)
vlt.plot(b2['y=0f'], logscale=True)
vlt.plot(b2['y=0f'], logscale=True, style='contour', levels=10, colors='grey')
vlt.plot2d_quiver(viscid.normalize(b['y=0f'], preferred='numpy'),
step=16, pivot='mid')
vlt.subplot(232, sharex=ax1, sharey=ax1)
vlt.plot(1e-4 + viscid.magnitude(grad_b2['z=0f']), logscale=True)
vlt.plot(1e-4 + viscid.magnitude(grad_b2['z=0f']), logscale=True,
style='contour', levels=10, colors='grey')
vlt.plot2d_quiver(viscid.normalize(grad_b2['z=0f']), step=16, pivot='mid')
vlt.subplot(235, sharex=ax2, sharey=ax2)
vlt.plot(1e-4 + viscid.magnitude(grad_b2['y=0f']), logscale=True)
vlt.plot(1e-4 + viscid.magnitude(grad_b2['y=0f']), logscale=True,
style='contour', levels=10, colors='grey')
vlt.plot2d_quiver(viscid.normalize(grad_b2['y=0f']), step=16, pivot='mid')
vlt.subplot(233, sharex=ax1, sharey=ax1)
vlt.plot(viscid.magnitude(conv['z=0f']), logscale=True)
vlt.plot(viscid.magnitude(conv['z=0f']), logscale=True,
style='contour', levels=10, colors='grey')
vlt.plot2d_quiver(viscid.normalize(conv['z=0f']), step=16, pivot='mid')
vlt.subplot(236, sharex=ax2, sharey=ax2)
vlt.plot(viscid.magnitude(conv['y=0f']), logscale=True)
vlt.plot(viscid.magnitude(conv['y=0f']), logscale=True,
style='contour', levels=10, colors='grey')
vlt.plot2d_quiver(viscid.normalize(conv['y=0f']), step=16, pivot='mid')
vlt.auto_adjust_subplots()
plt.savefig(next_plot_fname(__file__))
if args.show:
vlt.show()
return 0
def _main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--notwo", dest='notwo', action="store_true")
parser.add_argument("--nothree", dest='nothree', action="store_true")
parser.add_argument("--show", "--plot", action="store_true")
args = viscid.vutil.common_argparse(parser, default_verb=0)
plot2d = not args.notwo
plot3d = not args.nothree
# #################################################
# viscid.logger.info("Testing field lines on 2d field...")
B = viscid.make_dipole(twod=True)
line = viscid.seed.Line((0.2, 0.0, 0.0), (1.0, 0.0, 0.0), 10)
obound0 = np.array([-4, -4, -4], dtype=B.data.dtype)
obound1 = np.array([4, 4, 4], dtype=B.data.dtype)
run_test(B,
line,
plot2d=plot2d,
plot3d=plot3d,
title='2D',
show=args.show,
ibound=0.07,
obound0=obound0,
obound1=obound1)
#################################################
viscid.logger.info("Testing field lines on 3d field...")
B = viscid.make_dipole(m=[0.2, 0.3, -0.9])
sphere = viscid.seed.Sphere((0.0, 0.0, 0.0), 2.0, ntheta=20, nphi=10)
obound0 = np.array([-4, -4, -4], dtype=B.data.dtype)
obound1 = np.array([4, 4, 4], dtype=B.data.dtype)
run_test(B,
sphere,
plot2d=plot2d,
plot3d=plot3d,
title='3D',
show=args.show,
ibound=0.12,
obound0=obound0,
obound1=obound1,
method=viscid.RK12)
# The Remainder of this test makes sure higher order methods are indeed
# more accurate than lower order methods... this could find a bug in
# the integrators
##################################################
# test accuracy of streamlines in an ideal dipole
cotr = viscid.Cotr(dip_tilt=15.0, dip_gsm=21.0) # pylint: disable=not-callable
m = cotr.get_dipole_moment(crd_system='gse')
seeds = viscid.seed.Sphere((0.0, 0.0, 0.0),
2.0,
pole=-m,
ntheta=25,
nphi=25,
thetalim=(5, 90),
philim=(5, 360),
phi_endpoint=False)
B = viscid.make_dipole(m=m,
crd_system='gse',
n=(256, 256, 256),
l=(-25, -25, -25),
h=(25, 25, 25),
dtype='f8')
seeds_xyz = seeds.get_points()
# seeds_lsp = viscid.xyz2lsrlp(seeds_xyz, cotr=cotr, crd_system=B)[(0, 3), :]
seeds_lsp = viscid.xyz2lsrlp(seeds_xyz, cotr=cotr, crd_system=B)[(0, 3), :]
e1_lines, e1_lsps, t_e1 = lines_and_lsps(B,
seeds,
method='euler1',
ibound=1.0,
cotr=cotr)
rk2_lines, rk2_lsps, t_rk2 = lines_and_lsps(B,
seeds,
method='rk2',
ibound=1.0,
cotr=cotr)
rk4_lines, rk4_lsps, t_rk4 = lines_and_lsps(B,
seeds,
method='rk4',
ibound=1.0,
cotr=cotr)
e1a_lines, e1a_lsps, t_e1a = lines_and_lsps(B,
seeds,
method='euler1a',
ibound=1.0,
cotr=cotr)
rk12_lines, rk12_lsps, t_rk12 = lines_and_lsps(B,
seeds,
method='rk12',
ibound=1.0,
cotr=cotr)
rk45_lines, rk45_lsps, t_rk45 = lines_and_lsps(B,
seeds,
method='rk45',
ibound=1.0,
cotr=cotr)
def _calc_rel_diff(_lsp, _ideal_lsp, _d):
_diffs = []
for _ilsp, _iideal in zip(_lsp, _ideal_lsp.T):
_a = _ilsp[_d, :]
_b = _iideal[_d]
_diffs.append((_a - _b) / _b)
return _diffs
lshell_diff_e1 = _calc_rel_diff(e1_lsps, seeds_lsp, 0)
phi_diff_e1 = _calc_rel_diff(e1_lsps, seeds_lsp, 1)
lshell_diff_rk2 = _calc_rel_diff(rk2_lsps, seeds_lsp, 0)
phi_diff_rk2 = _calc_rel_diff(rk2_lsps, seeds_lsp, 1)
lshell_diff_rk4 = _calc_rel_diff(rk4_lsps, seeds_lsp, 0)
phi_diff_rk4 = _calc_rel_diff(rk4_lsps, seeds_lsp, 1)
lshell_diff_e1a = _calc_rel_diff(e1a_lsps, seeds_lsp, 0)
phi_diff_e1a = _calc_rel_diff(e1a_lsps, seeds_lsp, 1)
lshell_diff_rk12 = _calc_rel_diff(rk12_lsps, seeds_lsp, 0)
phi_diff_rk12 = _calc_rel_diff(rk12_lsps, seeds_lsp, 1)
lshell_diff_rk45 = _calc_rel_diff(rk45_lsps, seeds_lsp, 0)
phi_diff_rk45 = _calc_rel_diff(rk45_lsps, seeds_lsp, 1)
methods = [
'Euler 1', 'Runge Kutta 2', 'Runge Kutta 4', 'Euler 1 Adaptive Step',
'Runge Kutta 12 Adaptive Step', 'Runge Kutta 45 Adaptive Step'
]
wall_ts = [t_e1, t_rk2, t_rk4, t_e1a, t_rk12, t_rk45]
all_lines = [
e1_lines, rk2_lines, rk4_lines, e1a_lines, rk12_lines, rk45_lines
]
all_lshell_diffs = [
lshell_diff_e1, lshell_diff_rk2, lshell_diff_rk4, lshell_diff_e1a,
lshell_diff_rk12, lshell_diff_rk45
]
lshell_diffs = [
np.abs(np.concatenate(lshell_diff_e1, axis=0)),
np.abs(np.concatenate(lshell_diff_rk2, axis=0)),
np.abs(np.concatenate(lshell_diff_rk4, axis=0)),
np.abs(np.concatenate(lshell_diff_e1a, axis=0)),
np.abs(np.concatenate(lshell_diff_rk12, axis=0)),
np.abs(np.concatenate(lshell_diff_rk45, axis=0))
]
phi_diffs = [
np.abs(np.concatenate(phi_diff_e1, axis=0)),
np.abs(np.concatenate(phi_diff_rk2, axis=0)),
np.abs(np.concatenate(phi_diff_rk4, axis=0)),
np.abs(np.concatenate(phi_diff_e1a, axis=0)),
np.abs(np.concatenate(phi_diff_rk12, axis=0)),
np.abs(np.concatenate(phi_diff_rk45, axis=0))
]
npts = [len(lsd) for lsd in lshell_diffs]
lshell_75 = [np.percentile(lsdiff, 75) for lsdiff in lshell_diffs]
# # 3D DEBUG PLOT:: for really getting under the covers
# vlab.clf()
# earth1 = viscid.seed.Sphere((0.0, 0.0, 0.0), 1.0, pole=-m, ntheta=60, nphi=120,
# thetalim=(15, 165), philim=(0, 360))
# ls1 = viscid.xyz2lsrlp(earth1.get_points(), cotr=cotr, crd_system='gse')[0, :]
# earth2 = viscid.seed.Sphere((0.0, 0.0, 0.0), 2.0, pole=-m, ntheta=60, nphi=120,
# thetalim=(15, 165), philim=(0, 360))
# ls2 = viscid.xyz2lsrlp(earth2.get_points(), cotr=cotr, crd_system='gse')[0, :]
# earth4 = viscid.seed.Sphere((0.0, 0.0, 0.0), 4.0, pole=-m, ntheta=60, nphi=120,
# thetalim=(15, 165), philim=(0, 360))
# ls4 = viscid.xyz2lsrlp(earth4.get_points(), cotr=cotr, crd_system='gse')[0, :]
# clim = [2.0, 6.0]
# vlab.mesh_from_seeds(earth1, scalars=ls1, clim=clim, logscale=True)
# vlab.mesh_from_seeds(earth2, scalars=ls2, clim=clim, logscale=True, opacity=0.5)
# vlab.mesh_from_seeds(earth4, scalars=ls2, clim=clim, logscale=True, opacity=0.25)
# vlab.plot3d_lines(e1_lines, scalars=[_e1_lsp[0, :] for _e1_lsp in e1_lsps],
# clim=clim, logscale=True)
# vlab.colorbar(title="L-Shell")
# vlab.show()
assert lshell_75[1] < lshell_75[0], "RK2 should have less error than Euler"
assert lshell_75[2] < lshell_75[1], "RK4 should have less error than RK2"
assert lshell_75[3] < lshell_75[
0], "Euler 1a should have less error than Euler 1"
assert lshell_75[4] < lshell_75[
0], "RK 12 should have less error than Euler 1"
assert lshell_75[5] < lshell_75[1], "RK 45 should have less error than RK2"
try:
if not plot2d:
raise ImportError
from matplotlib import pyplot as plt
from viscid.plot import vpyplot as vlt
# stats on error for all points on all lines
_ = plt.figure(figsize=(15, 8))
ax1 = vlt.subplot(121)
v = plt.violinplot(lshell_diffs,
showextrema=False,
showmedians=False,
vert=False)
colors = set_violin_colors(v)
xl, xh = plt.gca().get_xlim()
for i, txt, c in zip(count(), methods, colors):
t_txt = ", took {0:.2e} seconds".format(wall_ts[i])
stat_txt = format_data_range(lshell_diffs[i])
plt.text(xl + 0.35 * (xh - xl), i + 1.15, txt + t_txt, color=c)
plt.text(xl + 0.35 * (xh - xl), i + 0.85, stat_txt, color=c)
ax1.get_yaxis().set_visible(False)
plt.title('L-Shell')
plt.xlabel('Relative Difference from Ideal (as fraction)')
ax2 = vlt.subplot(122)
v = plt.violinplot(phi_diffs,
showextrema=False,
showmedians=False,
vert=False)
colors = set_violin_colors(v)
xl, xh = plt.gca().get_xlim()
for i, txt, c in zip(count(), methods, colors):
t_txt = ", took {0:.2e} seconds".format(wall_ts[i])
stat_txt = format_data_range(phi_diffs[i])
plt.text(xl + 0.35 * (xh - xl), i + 1.15, txt + t_txt, color=c)
plt.text(xl + 0.35 * (xh - xl), i + 0.85, stat_txt, color=c)
ax2.get_yaxis().set_visible(False)
plt.title('Longitude')
plt.xlabel('Relative Difference from Ideal (as fraction)')
vlt.auto_adjust_subplots()
vlt.savefig(next_plot_fname(__file__, series='q2'))
if args.show:
vlt.show()
# stats for ds for all points on all lines
_ = plt.figure(figsize=(10, 8))
ax1 = vlt.subplot(111)
ds = [
np.concatenate([
np.linalg.norm(_l[:, 1:] - _l[:, :-1], axis=0) for _l in lines
]) for lines in all_lines
]
v = plt.violinplot(ds,
showextrema=False,
showmedians=False,
vert=False)
colors = set_violin_colors(v)
xl, xh = plt.gca().get_xlim()
for i, txt, c in zip(count(), methods, colors):
stat_txt = format_data_range(ds[i])
plt.text(xl + 0.01 * (xh - xl), i + 1.15, txt, color=c)
plt.text(xl + 0.01 * (xh - xl), i + 0.85, stat_txt, color=c)
ax1.get_yaxis().set_visible(False)
plt.xscale('log')
plt.title('Step Size')
plt.xlabel('Absolute Step Size')
vlt.savefig(next_plot_fname(__file__, series='q2'))
if args.show:
vlt.show()
# random other information
_ = plt.figure(figsize=(13, 10))
## wall time for each method
vlt.subplot(221)
plt.scatter(range(len(methods)),
wall_ts,
color=colors,
s=150,
marker='s',
edgecolors='none')
for i, meth in enumerate(methods):
meth = meth.replace(" Adaptive Step", "\nAdaptive Step")
plt.annotate(meth, (i, wall_ts[i]),
xytext=(0, 15.0),
color=colors[i],
horizontalalignment='center',
verticalalignment='bottom',
textcoords='offset points')
plt.ylabel("Wall Time (s)")
x_padding = 0.5
plt.xlim(-x_padding, len(methods) - x_padding)
yl, yh = np.min(wall_ts), np.max(wall_ts)
y_padding = 0.4 * (yh - yl)
plt.ylim(yl - y_padding, yh + y_padding)
plt.gca().get_xaxis().set_visible(False)
for _which in ('right', 'top'):
plt.gca().spines[_which].set_color('none')
## number of points calculated for each method
vlt.subplot(222)
plt.scatter(range(len(methods)),
npts,
color=colors,
s=150,
marker='s',
edgecolors='none')
for i, meth in enumerate(methods):
meth = meth.replace(" Adaptive Step", "\nAdaptive Step")
plt.annotate(meth, (i, npts[i]),
xytext=(0, 15.0),
color=colors[i],
horizontalalignment='center',
verticalalignment='bottom',
textcoords='offset points')
plt.ylabel("Number of Streamline Points Calculated")
x_padding = 0.5
plt.xlim(-x_padding, len(methods) - x_padding)
yl, yh = np.min(npts), np.max(npts)
y_padding = 0.4 * (yh - yl)
plt.ylim(yl - y_padding, yh + y_padding)
plt.gca().get_xaxis().set_visible(False)
for _which in ('right', 'top'):
plt.gca().spines[_which].set_color('none')
## Wall time per segment, this should show the overhead of the method
vlt.subplot(223)
wall_t_per_seg = np.asarray(wall_ts) / np.asarray(npts)
plt.scatter(range(len(methods)),
wall_t_per_seg,
color=colors,
s=150,
marker='s',
edgecolors='none')
for i, meth in enumerate(methods):
meth = meth.replace(" Adaptive Step", "\nAdaptive Step")
plt.annotate(meth, (i, wall_t_per_seg[i]),
xytext=(0, 15.0),
color=colors[i],
horizontalalignment='center',
verticalalignment='bottom',
textcoords='offset points')
plt.ylabel("Wall Time Per Line Segment")
x_padding = 0.5
plt.xlim(-x_padding, len(methods) - x_padding)
yl, yh = np.min(wall_t_per_seg), np.max(wall_t_per_seg)
y_padding = 0.4 * (yh - yl)
plt.ylim(yl - y_padding, yh + y_padding)
plt.gca().get_xaxis().set_visible(False)
plt.gca().xaxis.set_major_formatter(viscid.plot.mpl_extra.steve_axfmt)
for _which in ('right', 'top'):
plt.gca().spines[_which].set_color('none')
## 75th percentile of l-shell error for each method
vlt.subplot(224)
plt.scatter(range(len(methods)),
lshell_75,
color=colors,
s=150,
marker='s',
edgecolors='none')
plt.yscale('log')
for i, meth in enumerate(methods):
meth = meth.replace(" Adaptive Step", "\nAdaptive Step")
plt.annotate(meth, (i, lshell_75[i]),
xytext=(0, 15.0),
color=colors[i],
horizontalalignment='center',
verticalalignment='bottom',
textcoords='offset points')
plt.ylabel("75th Percentile of Relative L-Shell Error")
x_padding = 0.5
plt.xlim(-x_padding, len(methods) - x_padding)
ymin, ymax = np.min(lshell_75), np.max(lshell_75)
plt.ylim(0.75 * ymin, 2.5 * ymax)
plt.gca().get_xaxis().set_visible(False)
for _which in ('right', 'top'):
plt.gca().spines[_which].set_color('none')
vlt.auto_adjust_subplots(subplot_params=dict(wspace=0.25, hspace=0.15))
vlt.savefig(next_plot_fname(__file__, series='q2'))
if args.show:
vlt.show()
except ImportError:
pass
try:
if not plot3d:
raise ImportError
from viscid.plot import vlab
try:
fig = _global_ns['figure']
vlab.clf()
except KeyError:
fig = vlab.figure(size=[1200, 800],
offscreen=not args.show,
bgcolor=(1, 1, 1),
fgcolor=(0, 0, 0))
_global_ns['figure'] = fig
for i, method in zip(count(), methods):
# if i in (3, 4):
# next_plot_fname(__file__, series='q3')
# print(i, "::", [line.shape[1] for line in all_lines[i]])
# # continue
vlab.clf()
_lshell_diff = [np.abs(s) for s in all_lshell_diffs[i]]
vlab.plot3d_lines(all_lines[i], scalars=_lshell_diff)
vlab.colorbar(title="Relative L-Shell Error (as fraction)")
vlab.title(method, size=0.5)
vlab.orientation_axes()
vlab.view(azimuth=40,
elevation=140,
distance=80.0,
focalpoint=[0, 0, 0])
vlab.savefig(next_plot_fname(__file__, series='q3'))
if args.show:
vlab.show()
except ImportError:
pass
# prevent weird xorg bad-instructions on tear down
if 'figure' in _global_ns and _global_ns['figure'] is not None:
from viscid.plot import vlab
vlab.mlab.close(_global_ns['figure'])
return 0
def _main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--show", "--plot", action="store_true")
args = vutil.common_argparse(parser)
dtype = 'float32'
########################################################################
# hard core test transpose (since this is used for mapfield transforms)
x = np.array(np.linspace(1, -1, 9), dtype=dtype)
y = np.array(np.linspace(-1, 1, 9), dtype=dtype)
z = np.array(np.linspace(-1, 1, 9), dtype=dtype)
vI1 = viscid.empty([x, y, z],
nr_comps=3,
name='V',
center='cell',
layout='interlaced')
vI2 = viscid.empty([z, y, x],
nr_comps=3,
name='V',
center='cell',
layout='interlaced',
crd_names='zyx')
vF1 = viscid.empty([x, y, z],
nr_comps=3,
name='V',
center='cell',
layout='flat')
vF2 = viscid.empty([z, y, x],
nr_comps=3,
name='V',
center='cell',
layout='flat',
crd_names='zyx')
X1, Y1, Z1 = vI1.get_crds_cc(shaped=True)
X2, Y2, Z2 = vI2.get_crds_cc(shaped=True)
for v in (vI1, vF1):
v['x'] = (0.5 * X1) + (0.0 * Y1) + (0.0 * Z1)
v['y'] = (0.0 * X1) + (0.5 * Y1) + (0.5 * Z1)
v['z'] = (0.0 * X1) + (0.5 * Y1) + (0.5 * Z1)
for v in (vI2, vF2):
v['z'] = (0.5 * X2) + (0.5 * Y2) + (0.0 * Z2)
v['y'] = (0.5 * X2) + (0.5 * Y2) + (0.0 * Z2)
v['x'] = (0.0 * X2) + (0.0 * Y2) + (0.5 * Z2)
assert_different(vI1, vI2)
# test some straight up transposes of both interlaced and flat fields
assert_similar(vI1.spatial_transpose(), vI2)
assert_similar(vI1.ST, vI2)
assert_similar(vF1.spatial_transpose(), vF2)
assert_similar(vI1.transpose(), vF2)
assert_similar(vI1.T, vF2)
assert_different(vI1.transpose(), vI2)
assert_similar(vF1.transpose(), vI2)
assert_different(vF1.transpose(), vF2)
assert_similar(np.transpose(vI1), vF2)
assert_similar(np.transpose(vF1), vI2)
# now specify specific axes using all 3 interfaces
assert_similar(vI1.spatial_transpose('x', 'z', 'y'), vI1)
assert_similar(np.transpose(vI1, axes=[0, 2, 1, 3]), vI1)
assert_similar(vI1.transpose(0, 2, 1, 3), vI1)
assert_similar(vF1.spatial_transpose('x', 'z', 'y'), vF1)
assert_similar(np.transpose(vF1, axes=(0, 1, 3, 2)), vF1)
assert_similar(vF1.transpose(0, 1, 3, 2), vF1)
# now test swapaxes since that uses
assert_similar(vI1.swapaxes(1, 2), vI1)
assert_similar(np.swapaxes(vI1, 1, 2), vI1)
assert_similar(vI1.swap_crd_axes('y', 'z'), vI1)
##############################
# test some other mathy stuff
x = np.array(np.linspace(-1, 1, 2), dtype=dtype)
y = np.array(np.linspace(-2, 2, 30), dtype=dtype)
z = np.array(np.linspace(-5, 5, 90), dtype=dtype)
v = viscid.empty([x, y, z],
nr_comps=3,
name='V',
center='cell',
layout='interlaced')
X, Y, Z = v.get_crds_cc(shaped=True)
v['x'] = (0.5 * X**2) + (Y) + (0.0 * Z)
v['y'] = (0.0 * X) + (0.5 * Y**2) + (0.0 * Z)
v['z'] = (0.0 * X) + (0.0 * Y) + (0.5 * Z**2)
mag = viscid.magnitude(v)
mag2 = np.sqrt(np.sum(v * v, axis=v.nr_comp))
another = np.transpose(mag)
plt.subplot(151)
vlt.plot(v['x'])
plt.subplot(152)
vlt.plot(v['y'])
plt.subplot(153)
vlt.plot(mag)
plt.subplot(154)
vlt.plot(mag2)
plt.subplot(155)
vlt.plot(another)
plt.savefig(next_plot_fname(__file__))
if args.show:
plt.show()
return 0
