Add max graph to animate
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be32887eee
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9833D3C5A25BD227
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@ -22,6 +22,12 @@ parser.add_argument(
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help="Output directory for pickled data",
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required=True,
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)
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parser.add_argument(
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"-m",
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"--max",
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help="Only compute maximum rather than animation",
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action="store_true",
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)
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args = parser.parse_args()
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logging.basicConfig(level=max((10, 20 - 10 * args.verbose)))
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@ -41,37 +47,38 @@ with (
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x0, idx0 = np.unique(model.x.astype(np.half), return_inverse=True)
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z0, idz0 = np.unique(model.z.astype(np.half), return_inverse=True)
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ix0 = np.argsort(x0)
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iz0 = np.argsort(z0)[::-1]
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X, Z = np.meshgrid(x0, z0)
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P = np.full((model.t.size, *X.shape), np.nan)
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P[:, idz0, idx0] = model.fields["porosity"]
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P[:, iz0[idz0], ix0[idx0]] = model.fields["porosity"]
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AW = np.full((model.t.size, *X.shape), np.nan)
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AW[:, idz0, idx0] = model.fields["alpha.water"]
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AW[:, iz0[idz0], ix0[idx0]] = model.fields["alpha.water"]
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U = np.full((model.t.size, *X.shape), np.nan)
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U[:, idz0, idx0] = np.linalg.norm(model.fields["U"], axis=1)
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U[:, iz0[idz0], ix0[idx0]] = np.linalg.norm(model.fields["U"], axis=1)
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fig = plt.figure(figsize=(19.2, 10.8), dpi=100)
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gs = GridSpec(3, 1, figure=fig, height_ratios=[1, 0.05, 0.05])
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ax = fig.add_subplot(gs[0])
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cax1 = fig.add_subplot(gs[1])
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cax2 = fig.add_subplot(gs[2])
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tit = ax.text(
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0.5,
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0.95,
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f"t={model.t[0]}s",
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horizontalalignment="center",
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verticalalignment="top",
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transform=ax.transAxes,
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aw_m = ax.imshow(
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AW[0],
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vmin=0,
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vmax=1,
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extent=(x0.min(), x0.max(), z0.min(), z0.max()),
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cmap="Blues",
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zorder=1,
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)
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aw_m = ax.pcolormesh(X, Z, AW[0], vmin=0, vmax=1, cmap="Blues", zorder=1)
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p_m = ax.pcolormesh(
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X,
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Z,
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p_m = ax.imshow(
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P[1],
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vmin=0,
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vmax=1,
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extent=(x0.min(), x0.max(), z0.min(), z0.max()),
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cmap="Greys_r",
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alpha=(np.nan_to_num(1 - P[1]) / 2).clip(0, 1),
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zorder=1.1,
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@ -85,62 +92,84 @@ ax.set(xlabel="x (m)", ylabel="z (m)", aspect="equal", facecolor="#000000")
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ax.grid(c="k", alpha=0.2)
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def anim(i):
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tit.set_text(f"t={model.t[i]}s")
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aw_m.set_array(AW[i])
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figU = plt.figure(figsize=(19.2, 10.8), dpi=100)
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gsU = GridSpec(3, 1, figure=figU, height_ratios=[1, 0.05, 0.05])
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gsU = GridSpec(
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2 if args.max else 3,
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1,
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figure=figU,
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height_ratios=[1, 0.05] if args.max else [1, 0.05, 0.05],
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)
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axU = figU.add_subplot(gsU[0])
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caxu1 = figU.add_subplot(gsU[1])
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caxu2 = figU.add_subplot(gsU[2])
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u_m = axU.pcolormesh(
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X,
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Z,
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if not args.max:
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caxu2 = figU.add_subplot(gsU[2])
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u_m = axU.imshow(
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U[0],
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cmap="BuPu",
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vmin=0,
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vmax=np.nanmax(U),
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vmax=np.nanmax(np.where(AW > 0.5, U, np.nan), initial=0),
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extent=(x0.min(), x0.max(), z0.min(), z0.max()),
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zorder=1,
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alpha=np.nan_to_num(AW[0]).clip(0, 1),
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)
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ur_m = axU.pcolormesh(
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X,
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Z,
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ur_m = axU.imshow(
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U[0],
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cmap="YlOrBr",
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vmin=0,
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vmax=np.nanmax(U),
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vmax=np.nanmax(np.where(AW > 0.5, U, np.nan), initial=0),
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extent=(x0.min(), x0.max(), z0.min(), z0.max()),
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zorder=1,
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alpha=1 - np.nan_to_num(AW[0]).clip(0, 1),
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)
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# aw_u = axU.contour(X, Z, AW[0], levels=(.5,))
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axU.set(xlabel="x (m)", ylabel="z (m)", aspect="equal", facecolor="#bebebe")
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axU.grid(c="k", alpha=0.2)
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titU = axU.text(
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figU.colorbar(u_m, label=r"$U_w$", cax=caxu1, shrink=0.6, orientation="horizontal")
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if args.max:
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aw_m.set_array(AW.max(axis=0))
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u_m.set_array(np.nanmax(np.where(AW > 0.5, U, np.nan), axis=0, initial=0))
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u_m.set_alpha(1)
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u_m.set_cmap("hot_r")
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ur_m.remove()
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fig.savefig(out.joinpath("max_aw.pdf"))
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figU.savefig(out.joinpath("max_U.pdf"))
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else:
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figU.colorbar(ur_m, label=r"$U_a$", cax=caxu2, shrink=0.6, orientation="horizontal")
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tit = ax.text(
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0.5,
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0.95,
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f"t={model.t[0]}s",
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horizontalalignment="center",
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verticalalignment="top",
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transform=ax.transAxes,
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)
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titU = axU.text(
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0.5,
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0.95,
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f"t={model.t[0]}s",
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horizontalalignment="center",
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verticalalignment="top",
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transform=axU.transAxes,
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)
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)
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figU.colorbar(u_m, label=r"$U_w$", cax=caxu1, shrink=0.6, orientation="horizontal")
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figU.colorbar(ur_m, label=r"$U_a$", cax=caxu2, shrink=0.6, orientation="horizontal")
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def anim(i):
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tit.set_text(f"t={model.t[i]}s")
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aw_m.set_array(AW[i])
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def animU(i):
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def animU(i):
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titU.set_text(f"t={model.t[i]}s")
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u_m.set_array(U[i])
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u_m.set_alpha(np.nan_to_num(AW[i]).clip(0, 1))
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ur_m.set_array(U[i])
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ur_m.set_alpha(1 - np.nan_to_num(AW[i]).clip(0, 1))
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ani = animation.FuncAnimation(fig, anim, frames=model.t.size, interval=1 / 24)
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aniU = animation.FuncAnimation(figU, animU, frames=model.t.size, interval=1 / 24)
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ani = animation.FuncAnimation(fig, anim, frames=model.t.size, interval=1 / 24)
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aniU = animation.FuncAnimation(figU, animU, frames=model.t.size, interval=1 / 24)
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ani.save(out.joinpath("anim.mp4"), fps=24)
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aniU.save(out.joinpath("animU.mp4"), fps=24)
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ani.save(out.joinpath("anim.mp4"), fps=24)
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aniU.save(out.joinpath("animU.mp4"), fps=24)
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