def _profiles_overplot(profiles):
import pylab
alpha = 0.1
any_magnetic = False
for p in profiles.values():
if len(p[0]) == 3:
rho_color = next_color()
for z, rho, _ in p[1:]:
pylab.plot(z, rho, '-', color=rho_color, alpha=alpha)
# Plot best
z, rho, _ = p[0]
pylab.plot(z, rho, '-', color=dhsv(rho_color, dv=-0.2))
else:
any_magnetic = True
rho_color = next_color()
rhoM_color = next_color()
for z, rho, _, rhoM, _ in p[1:]:
pylab.plot(z, rho, '-', color=rho_color, alpha=alpha)
pylab.plot(z, rhoM, '-', color=rhoM_color, alpha=alpha)
# Plot best
z, rho, _, rhoM, _ = p[0]
pylab.plot(z, rho, '-', color=dhsv(rho_color, dv=-0.2))
pylab.plot(z, rhoM, '-', color=dhsv(rhoM_color, dv=-0.2))
_profiles_labels(any_magnetic)
def _profiles_contour(profiles, contours=_CONTOURS, npoints=200):
import pylab
any_magnetic = False
for p in profiles.values():
# Find limits of all profiles
z = np.hstack([line[0] for line in p])
zp = np.linspace(np.min(z), np.max(z), npoints)
if len(p[0]) == 3:
rho_color = next_color()
# Interpolate rho on common z
rho = np.vstack([np.interp(zp, L[0], L[1]) for L in p])
# Plot the quantiles
plot_quantiles(zp, rho, contours, rho_color)
# Plot the best
pylab.plot(zp, rho[0], '-', color=dhsv(rho_color, dv=-0.2))
else:
any_magnetic = True
rho_color = next_color()
rhoM_color = next_color()
# Interpolate rho, rhoM on common z
rho = np.vstack([np.interp(zp, L[0], L[1]) for L in p])
rhoM = np.vstack([np.interp(zp, L[0], L[3]) for L in p])
# Plot the quantiles
plot_quantiles(zp, rho, contours, rho_color)
plot_quantiles(zp, rhoM, contours, rhoM_color)
# Plot the best
pylab.plot(zp, rho[0], '-', color=dhsv(rho_color, dv=-0.2))
pylab.plot(zp, rhoM[0], '-', color=dhsv(rhoM_color, dv=-0.2))
_profiles_labels(any_magnetic)
def _residuals_contour(Q, residuals, contours=_CONTOURS):
import pylab
shift = 0
for m, r in residuals.items():
color = next_color()
plot_quantiles(Q[m], shift+r.T, contours, color)
pylab.plot(Q[m], shift+r[:, 0], '.', markersize=1,
color=dhsv(color, dv=-0.2)) # best
shift += 5
_residuals_labels()
def _residuals_overplot(Q, residuals):
import pylab
alpha = 0.4
shift = 0
for m, r in residuals.items():
color = next_color()
pylab.plot(Q[m], shift+r[:, 1:], '.', markersize=1,
color=color, alpha=alpha)
pylab.plot(Q[m], shift+r[:, 0], '.', markersize=1,
color=dhsv(color, dv=-0.2)) # best
shift += 5
_residuals_labels()
def dark(color):
return dhsv(color, dv=-0.2)
