297 lines
8.3 KiB
Python
Executable File
297 lines
8.3 KiB
Python
Executable File
#! /usr/bin/env python3
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import matplotlib as mpl
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import matplotlib.pyplot as plt
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import numpy as np
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import h5py
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from argparse import ArgumentParser
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def gridlines(obj, x, y):
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for j in range(1, x.shape[0] - 1):
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obj.plot(x[j, :], y[j, :], color="#7f7f7f", linewidth=0.1, alpha=0.3)
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for j in range(1, x.shape[1] - 1):
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obj.plot(x[:, j], y[:, j], color="#7f7f7f", linewidth=0.1, alpha=0.3)
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obj.plot(x[0, :], y[0, :], color="#7f7f7f", linewidth=0.2)
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obj.plot(x[-1, :], y[-1, :], color="#7f7f7f", linewidth=0.2)
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obj.plot(x[:, 0], y[:, 0], color="#7f7f7f", linewidth=0.2)
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obj.plot(x[:, -1], y[:, -1], color="#7f7f7f", linewidth=0.2)
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def plot_all(grids, save: bool, filename="figure.png"):
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sym_cmap = plt.get_cmap("PiYG") # Symmetric around zero
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e_cmap = plt.get_cmap("Greys")
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f, axarr = plt.subplots(2, 2)
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min_rho = min(np.min(g["rho"][-1, :, :]) for g in grids)
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max_rho = max(np.max(g["rho"][-1, :, :]) for g in grids)
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r = 1.2 * max(abs(min_rho - 1), abs(max_rho - 1))
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rho_levels = np.linspace(1 - r, 1 + r, 34)
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min_rhou = min(np.min(g["rhou"][-1, :, :]) for g in grids)
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max_rhou = max(np.max(g["rhov"][-1, :, :]) for g in grids)
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r = 1.2 * max(abs(min_rhou - 1), abs(max_rhou - 1))
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rhou_levels = np.linspace(1 - r, 1 + r, 20)
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min_rhov = min(np.min(g["rhov"][-1, :, :]) for g in grids)
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max_rhov = max(np.max(g["rhov"][-1, :, :]) for g in grids)
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r = 1.2 * max(abs(min_rhov), abs(max_rhov))
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rhov_levels = np.linspace(-r, r, 20)
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min_e = min(np.min(g["e"][-1, :, :]) for g in grids)
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max_e = max(np.max(g["e"][-1, :, :]) for g in grids)
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e_levels = np.linspace(min_e, max_e)
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for g in grids:
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x = g["x"]
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y = g["y"]
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axarr[0, 0].contourf(x, y, g["rho"][-1, :, :], cmap=sym_cmap, levels=rho_levels)
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gridlines(axarr[0, 0], x, y)
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axarr[0, 1].contourf(
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x, y, g["rhou"][-1, :, :], cmap=sym_cmap, levels=rhou_levels
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)
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gridlines(axarr[0, 1], x, y)
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axarr[1, 0].contourf(
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x, y, g["rhov"][-1, :, :], cmap=sym_cmap, levels=rhov_levels
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)
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gridlines(axarr[1, 0], x, y)
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axarr[1, 1].contourf(x, y, g["e"][-1, :, :], cmap=e_cmap, levels=e_levels)
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gridlines(axarr[1, 1], x, y)
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axarr[0, 0].set_title(r"$\rho$")
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axarr[0, 0].set_xlabel("x")
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axarr[0, 0].set_ylabel("y")
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norm = mpl.colors.Normalize(vmin=rho_levels[0], vmax=rho_levels[-1])
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sm = plt.cm.ScalarMappable(cmap=sym_cmap, norm=norm)
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sm.set_array([])
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plt.colorbar(sm, ax=axarr[0, 0])
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axarr[0, 1].set_title(r"$\rho u$")
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axarr[0, 1].set_xlabel("x")
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axarr[0, 1].set_ylabel("y")
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norm = mpl.colors.Normalize(vmin=rhou_levels[0], vmax=rhou_levels[-1])
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sm = plt.cm.ScalarMappable(cmap=sym_cmap, norm=norm)
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sm.set_array([])
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plt.colorbar(sm, ax=axarr[0, 1])
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axarr[1, 0].set_title(r"$\rho v$")
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axarr[1, 0].set_xlabel("x")
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axarr[1, 0].set_ylabel("y")
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norm = mpl.colors.Normalize(vmin=rhov_levels[0], vmax=rhov_levels[-1])
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sm = plt.cm.ScalarMappable(cmap=sym_cmap, norm=norm)
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sm.set_array([])
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plt.colorbar(sm, ax=axarr[1, 0])
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axarr[1, 1].set_title(r"$e$")
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axarr[1, 1].set_xlabel("x")
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axarr[1, 1].set_ylabel("y")
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norm = mpl.colors.Normalize(vmin=e_levels[0], vmax=e_levels[-1])
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sm = plt.cm.ScalarMappable(cmap=e_cmap, norm=norm)
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sm.set_array([])
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plt.colorbar(sm, ax=axarr[1, 1])
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if save:
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plt.savefig(filename, bbox_inches="tight", dpi=600)
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plt.show()
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def pressure(rho, rhou, rhov, e):
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gamma = 1.4
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return (gamma - 1) * (e - (rhou ** 2 + rhov ** 2) / (2 * rho))
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def plot_pressure(grids, save: bool, filename="figure.png"):
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cmap = plt.get_cmap("RdGy")
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Mach = 0.5
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gamma = 1.4
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p = [
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pressure(
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g["rho"][-1, :, :],
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g["rhou"][-1, :, :],
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g["rhov"][-1, :, :],
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g["e"][-1, :, :],
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)
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for g in grids
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]
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flat_p = np.array([])
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for p_ in p:
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flat_p = np.append(flat_p, p_)
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max_p = np.max(flat_p)
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min_p = np.min(flat_p)
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p_inf = 1 / (gamma * Mach ** 2)
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r = max(max_p - p_inf, p_inf - min_p)
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levels = np.linspace(p_inf - r, p_inf + r, 30)
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for g, p_ in zip(grids, p):
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x = g["x"]
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y = g["y"]
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plt.contourf(x, y, p_, cmap=cmap, levels=levels)
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gridlines(plt, x, y)
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plt.title("Pressure")
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norm = mpl.colors.Normalize(vmin=levels[0], vmax=levels[-1])
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sm = plt.cm.ScalarMappable(cmap=cmap, norm=norm)
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sm.set_array([])
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plt.colorbar(sm)
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plt.xlabel("x")
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plt.ylabel("y")
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if save:
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plt.savefig(filename, bbox_inches="tight", dpi=600)
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plt.show()
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def plot_pressure_slider(grids, save: bool, filename="figure.png"):
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cmap = plt.get_cmap("RdGy")
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gamma = 1.4 # Assumption might be wrong
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Mach = 0.5
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def p(itime):
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return [
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pressure(
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g["rho"][itime, :, :],
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g["rhou"][itime, :, :],
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g["rhov"][itime, :, :],
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g["e"][itime, :, :],
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)
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for g in grids
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]
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max_p = 3.0
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min_p = 1.75
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p_inf = 1 / (gamma * Mach ** 2)
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r = max(max_p - p_inf, p_inf - min_p)
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levels = np.linspace(p_inf - r, p_inf + r, 30)
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fig = plt.figure()
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gs = mpl.gridspec.GridSpec(
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2, 2, figure=fig, width_ratios=[1, 0.02], height_ratios=[1, 0.02]
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)
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ax = fig.add_subplot(gs[0, 0])
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slider_ax = fig.add_subplot(gs[1, 0])
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cbar_ax = fig.add_subplot(gs[0, 1])
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xmin, xmax = np.inf, -np.inf
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ymin, ymax = np.inf, -np.inf
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for g in grids:
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x = g["x"]
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xmin = min(xmin, x.min())
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xmax = max(xmax, x.max())
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y = g["y"]
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ymin = min(ymin, y.min())
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ymax = max(ymax, y.max())
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gridlines(ax, x, y)
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ax.set_xlim(xmin, xmax)
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ax.set_ylim(ymin, ymax)
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plt.title("Pressure")
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norm = mpl.colors.Normalize(vmin=levels[0], vmax=levels[-1])
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sm = plt.cm.ScalarMappable(cmap=cmap, norm=norm)
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plt.colorbar(sm, cax=cbar_ax)
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plt.xlabel("x")
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plt.ylabel("y")
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itime = len(t) - 1
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slider = mpl.widgets.Slider(
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slider_ax, "itime", 0, itime, valinit=itime, valstep=1, valfmt="%0.0f"
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)
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contours = []
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def update(itime):
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global contours
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contours = []
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itime = int(itime)
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for ct in contours:
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for coll in ct.collections:
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coll.remove()
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for g in grids:
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ct = ax.contourf(
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g["x"],
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g["y"],
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pressure(
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g["rho"][itime, :, :],
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g["rhou"][itime, :, :],
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g["rhov"][itime, :, :],
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g["e"][itime, :, :],
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),
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cmap=cmap,
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levels=levels,
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)
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contours.append(ct)
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slider.valtext.set_text(t[itime])
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update(itime)
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slider.on_changed(update)
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plt.show()
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def read_from_file(filename):
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grids = []
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file = h5py.File(filename, "r")
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for groupname in file:
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group = file[groupname]
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if not isinstance(group, h5py.Group):
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continue
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grids.append(
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{
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"x": group["x"][:],
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"y": group["y"][:],
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"rho": group["rho"][:],
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"rhou": group["rhou"][:],
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"rhov": group["rhov"][:],
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"e": group["e"][:],
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}
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)
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return grids, file["t"]
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if __name__ == "__main__":
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parser = ArgumentParser(description="Plot a solution from the eulersolver")
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parser.add_argument("filename", metavar="filename", type=str)
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parser.add_argument("-s", help="Save figure", action="store_true", dest="save")
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parser.add_argument(
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"-o",
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help="Output of saved figure",
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type=str,
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default="figure.png",
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dest="output",
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)
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parser.add_argument(
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"-a", help="Show all four variables", action="store_true", dest="all"
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)
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parser.add_argument("--slider", help="Add slider", action="store_true")
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args = parser.parse_args()
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filename = args.filename
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grids, t = read_from_file(filename)
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if args.all:
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plot_all(grids, args.save, args.output)
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else:
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if args.slider:
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plot_pressure_slider(grids, t)
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else:
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plot_pressure(grids, args.save, args.output)
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