scripts/gray/visual.py: degrade instead of failing on missing files
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9442356797
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@ -39,6 +39,20 @@ def cli_args() -> argparse.Namespace:
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return parser.parse_args()
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def placeholder(ax: plt.Axes, text: str):
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'''
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Puts a placeholder text at the center of an axis
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'''
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left, width = .25, .5
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bottom, height = .25, .5
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right = left + width
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top = bottom + height
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ax.text(0.5*(left+right), 0.5*(top+bottom), text,
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horizontalalignment='center',
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verticalalignment='center')
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def align_yaxis(*axes: [plt.Axes]):
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'''
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Aligns the origins of two axes
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@ -116,30 +130,33 @@ def plot_poloidal(inputs: Path, outputs: Path, ax: plt.Axes):
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ax.set_ylabel('$z$ / m')
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# load flux surfaces
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surfaces = gray.read_table(outputs / 'flux-surfaces.71.txt')
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surfaces = surfaces.reshape(-1, int(surfaces['i'].max()))
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try:
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surfaces = gray.read_table(outputs / 'flux-surfaces.71.txt')
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surfaces = surfaces.reshape(-1, int(surfaces['i'].max()))
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# plot plasma boundary
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bound = np.argmin(1 - surfaces['ψ_n'][:, 0])
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ax.plot(surfaces[bound]['R'], surfaces[bound]['z'],
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c='xkcd:slate grey', label='plasma boundary')
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# plot plasma boundary
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bound = np.argmin(1 - surfaces['ψ_n'][:, 0])
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ax.plot(surfaces[bound]['R'], surfaces[bound]['z'],
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c='xkcd:slate grey', label='plasma boundary')
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# manual contourplot of ψ(R,z)
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for i, surf in enumerate(surfaces[:bound]):
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ax.plot(surf['R'], surf['z'], c='xkcd:grey',
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label='flux surfaces' if i == 0 else '')
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# manual contourplot of ψ(R,z)
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for i, surf in enumerate(surfaces[:bound]):
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ax.plot(surf['R'], surf['z'], c='xkcd:grey',
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label='flux surfaces' if i == 0 else '')
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# label the rational surfaces
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labels = ['q=2', 'q=3/2', 'q=1']
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for label, surf in zip(labels, surfaces[1+bound:][::-1]):
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line = np.vstack([surf['R'], surf['z']]).T
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cont = ContourSet(ax, [1], [[line]], filled=False,
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colors='xkcd:ocean blue',
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linestyles='--')
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ax.clabel(cont, [1], inline=True,
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fontsize=10, fmt={1: label})
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ax.plot(np.nan, np.nan, '--', color='xkcd:ocean blue',
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label='rational surfaces')
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# label the rational surfaces
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labels = ['q=2', 'q=3/2', 'q=1']
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for label, surf in zip(labels, surfaces[1+bound:][::-1]):
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line = np.vstack([surf['R'], surf['z']]).T
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cont = ContourSet(ax, [1], [[line]], filled=False,
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colors='xkcd:ocean blue',
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linestyles='--')
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ax.clabel(cont, [1], inline=True,
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fontsize=10, fmt={1: label})
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ax.plot(np.nan, np.nan, '--', color='xkcd:ocean blue',
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label='rational surfaces')
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except FileNotFoundError:
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pass
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# load limiter
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limiter = gray.get_limiter(conf, inputs)
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@ -186,12 +203,15 @@ def plot_toroidal(inputs: Path, outputs: Path, ax: plt.Axes):
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limiter = gray.get_limiter(conf, inputs)
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# plot plasma boundary
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surfaces = gray.read_table(outputs / 'flux-surfaces.71.txt')
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boundary = surfaces[np.isclose(surfaces['ψ_n'], 1, 1e-3)]
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try:
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surfaces = gray.read_table(outputs / 'flux-surfaces.71.txt')
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boundary = surfaces[np.isclose(surfaces['ψ_n'], 1, 1e-3)]
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# plot plasma boundary
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plot_circle(ax, radius=boundary['R'].min(), color='xkcd:slate gray')
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plot_circle(ax, radius=boundary['R'].max(), color='xkcd:slate gray')
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# plot plasma boundary
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plot_circle(ax, radius=boundary['R'].min(), color='xkcd:slate gray')
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plot_circle(ax, radius=boundary['R'].max(), color='xkcd:slate gray')
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except FileNotFoundError:
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pass
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# plot limiter
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if limiter[0].size > 0:
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@ -374,36 +394,42 @@ def plot_inputs(inputs: Path, outputs: Path, axes: [plt.Axes]):
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'''
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from matplotlib.colors import TwoSlopeNorm
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maps = gray.read_table(outputs / 'inputs-maps.72.txt')
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conf = gray.read_conf(inputs / 'gray.ini')
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# filter valid points
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maps = maps[maps['ψ_n'] > 0]
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flux = maps['R'], maps['z'], maps['ψ_n']
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try:
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maps = gray.read_table(outputs / 'inputs-maps.72.txt')
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# filter valid points
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maps = maps[maps['ψ_n'] > 0]
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flux = maps['R'], maps['z'], maps['ψ_n']
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except FileNotFoundError:
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maps = None
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placeholder(axes['B'], 'inputs-maps.72.txt not found')
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# contour levels
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ψ_max = maps['ψ_n'].max() if maps is not None else 1.2
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inner_levels = np.linspace(0, 0.99, 8)
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outer_levels = np.linspace(0.9991, maps['ψ_n'].max()*0.99, 6)
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outer_levels = np.linspace(0.9991, ψ_max*0.99, 6)
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all_levels = np.concatenate([inner_levels, outer_levels])
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# contour style
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norm = TwoSlopeNorm(vmin=0, vcenter=1, vmax=maps['ψ_n'].max())
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norm = TwoSlopeNorm(vmin=0, vcenter=1, vmax=ψ_max)
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cmap = plt.cm.RdYlGn_r
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borders = dict(colors='xkcd:grey', linestyles='-', linewidths=0.8)
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# interpolated equilibrium
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interp = axes['B']
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interp.set_title('poloidal flux', loc='right')
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interp.set_xlabel('$R$ / m')
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interp.set_ylabel('$z$ / m')
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interp.tricontourf(*flux, levels=all_levels, norm=norm, cmap=cmap)
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interp.tricontour(*flux, levels=all_levels, **borders)
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interp.tricontour(*flux, levels=[1], colors='xkcd:slate gray')
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interp.plot(np.nan, np.nan, c='xkcd:slate gray', label='plasma boundary')
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if maps is not None:
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interp = axes['B']
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interp.set_title('poloidal flux', loc='right')
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interp.set_xlabel('$R$ / m')
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interp.set_ylabel('$z$ / m')
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interp.tricontourf(*flux, levels=all_levels, norm=norm, cmap=cmap)
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interp.tricontour(*flux, levels=all_levels, **borders)
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interp.tricontour(*flux, levels=[1], colors='xkcd:slate gray')
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interp.plot(np.nan, np.nan, c='xkcd:slate gray', label='plasma boundary')
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# add limiter
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conf = gray.read_conf(inputs / 'gray.ini')
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limiter = gray.get_limiter(conf, inputs)
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interp.plot(*limiter, c='xkcd:black', label='limiter')
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# add limiter
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limiter = gray.get_limiter(conf, inputs)
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interp.plot(*limiter, c='xkcd:black', label='limiter')
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# original MHD equilibrium
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orig = axes['A']
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@ -418,14 +444,18 @@ def plot_inputs(inputs: Path, outputs: Path, axes: [plt.Axes]):
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orig.plot(*eqdsk.limiter, c='xkcd:black')
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orig.plot(*eqdsk.boundary, c='xkcd:slate gray')
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else:
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orig.axis('off')
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placeholder(orig, 'not an EQDSK')
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# colorbar
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bar = plt.colorbar(plt.cm.ScalarMappable(norm, cmap), cax=axes['C'])
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bar.set_label(label='normalised poloidal flux', labelpad=10)
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# Plasma radial profiles
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profiles = gray.read_table(outputs / 'kinetic-profiles.55.txt')
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try:
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profiles = gray.read_table(outputs / 'kinetic-profiles.55.txt')
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except FileNotFoundError:
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placeholder(axes['D'], 'kinetic-profiles.55.txt not found')
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return
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axes['D'].set_title('plasma profiles', loc='right')
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add_alt_axis(axes['D'], profiles['ρ_t'], profiles['ψ_n']**0.5,
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