133 lines
6.5 KiB
Python
133 lines
6.5 KiB
Python
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'''
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Copyright (C) 2014-2020, Johannes Pekkila, Miikka Vaisala.
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This file is part of Astaroth.
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Astaroth is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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Astaroth is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with Astaroth. If not, see <http://www.gnu.org/licenses/>.
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'''
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import pylab as plt
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import numpy as np
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import matplotlib.gridspec as gridspec
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import matplotlib.colors as colors
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CM_INFERNO = plt.get_cmap('inferno')
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def plot_3(mesh, input_grid, title = '', fname = 'default', bitmap=False,
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slicetype = 'middle', colrange=None, colormap=CM_INFERNO ,
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contourplot=False, points_from_centre = -1, bfieldlines=False, velfieldlines=False):
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fig = plt.figure(figsize=(8, 8))
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grid = gridspec.GridSpec(2, 3, wspace=0.4, hspace=0.4, width_ratios=[1,1, 0.15])
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ax00 = fig.add_subplot( grid[0,0] )
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ax10 = fig.add_subplot( grid[0,1] )
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ax11 = fig.add_subplot( grid[1,1] )
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axcbar = fig.add_subplot( grid[:,2] )
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print(mesh.minfo.contents.keys())
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if slicetype == 'middle':
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yz_slice = input_grid[mesh.xmid, :, :]
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xz_slice = input_grid[:, mesh.ymid, :]
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xy_slice = input_grid[:, :, mesh.zmid]
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if colrange==None:
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plotnorm = colors.Normalize(vmin=input_grid.min(),vmax=input_grid.max())
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else:
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plotnorm = colors.Normalize(vmin=colrange[0],vmax=colrange[1])
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elif slicetype == 'sum':
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yz_slice = np.sum(input_grid, axis=0)
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xz_slice = np.sum(input_grid, axis=1)
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xy_slice = np.sum(input_grid, axis=2)
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cmin = np.amin([yz_slice.min(), xz_slice.min(), xy_slice.min()])
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cmax = np.amax([yz_slice.max(), xz_slice.max(), xy_slice.max()])
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if colrange==None:
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plotnorm = colors.Normalize(vmin=cmin,vmax=cmax)
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else:
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plotnorm = colors.Normalize(vmin=colrange[0],vmax=colrange[1])
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if points_from_centre > 0:
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yz_slice = yz_slice[int(yz_slice.shape[0]/2)-points_from_centre : int(yz_slice.shape[0]/2)+points_from_centre,
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int(yz_slice.shape[1]/2)-points_from_centre : int(yz_slice.shape[1]/2)+points_from_centre]
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xz_slice = xz_slice[int(xz_slice.shape[0]/2)-points_from_centre : int(xz_slice.shape[0]/2)+points_from_centre,
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int(xz_slice.shape[1]/2)-points_from_centre : int(xz_slice.shape[1]/2)+points_from_centre]
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xy_slice = xy_slice[int(xy_slice.shape[0]/2)-points_from_centre : int(xy_slice.shape[0]/2)+points_from_centre,
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int(xy_slice.shape[1]/2)-points_from_centre : int(xy_slice.shape[1]/2)+points_from_centre]
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mesh.xx = mesh.xx[int(mesh.xx.shape[0]/2)-points_from_centre : int(mesh.xx.shape[0]/2)+points_from_centre]
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mesh.yy = mesh.yy[int(mesh.yy.shape[0]/2)-points_from_centre : int(mesh.yy.shape[0]/2)+points_from_centre]
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mesh.zz = mesh.zz[int(mesh.zz.shape[0]/2)-points_from_centre : int(mesh.zz.shape[0]/2)+points_from_centre]
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yy, zz = np.meshgrid(mesh.yy, mesh.zz, indexing='ij')
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if contourplot:
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map1 = ax00.contourf(yy, zz, yz_slice, norm=plotnorm, cmap=colormap, nlev=10)
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else:
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map1 = ax00.pcolormesh(yy, zz, yz_slice, norm=plotnorm, cmap=colormap)
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ax00.set_xlabel('y')
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ax00.set_ylabel('z')
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ax00.set_title('%s t = %.4e' % (title, mesh.timestamp) )
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ax00.set_aspect('equal')
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ax00.contour(yy, zz, np.sqrt((yy-yy.max()/2.0)**2.0 + (zz-zz.max()/2.0)**2.0), [mesh.minfo.contents["AC_accretion_range"]])
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xx, zz = np.meshgrid(mesh.xx, mesh.zz, indexing='ij')
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if contourplot:
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ax10.contourf(xx, zz, xz_slice, norm=plotnorm, cmap=colormap, nlev=10)
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else:
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ax10.pcolormesh(xx, zz, xz_slice, norm=plotnorm, cmap=colormap)
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ax10.set_xlabel('x')
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ax10.set_ylabel('z')
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ax10.set_aspect('equal')
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ax10.contour(xx, zz, np.sqrt((xx-xx.max()/2.0)**2.0 + (zz-zz.max()/2.0)**2.0), [mesh.minfo.contents["AC_accretion_range"]])
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xx, yy = np.meshgrid(mesh.xx, mesh.yy, indexing='ij')
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if contourplot:
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ax11.contourf(xx, yy, xy_slice, norm=plotnorm, cmap=colormap, nlev=10)
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else:
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ax11.pcolormesh(xx, yy, xy_slice, norm=plotnorm, cmap=colormap)
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ax11.set_xlabel('x')
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ax11.set_ylabel('y')
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ax11.set_aspect('equal')
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ax11.contour(xx, yy, np.sqrt((xx-xx.max()/2.0)**2.0 + (yy-yy.max()/2.0)**2.0), [mesh.minfo.contents["AC_accretion_range"]])
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if bfieldlines:
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ax00.streamplot(mesh.yy, mesh.zz, np.mean(mesh.bb[1], axis=0), np.mean(mesh.bb[2], axis=0))
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ax10.streamplot(mesh.xx, mesh.zz, np.mean(mesh.bb[0], axis=1), np.mean(mesh.bb[2], axis=1))
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ax11.streamplot(mesh.xx, mesh.yy, np.mean(mesh.bb[0], axis=2), np.mean(mesh.bb[1], axis=2))
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#ax00.streamplot(mesh.yy, mesh.zz, mesh.bb[1][mesh.xmid, :, :], mesh.bb[2][mesh.xmid, :, :])
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#ax10.streamplot(mesh.xx, mesh.zz, mesh.bb[0][:, mesh.ymid, :], mesh.bb[2][:, mesh.ymid, :])
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#ax11.streamplot(mesh.xx, mesh.yy, mesh.bb[0][:, : ,mesh.zmid], mesh.bb[1][:, :, mesh.zmid])
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#ax00.quiver(mesh.bb[2][mesh.xmid, ::10, ::10], mesh.bb[1][mesh.xmid, ::10, ::10], pivot='middle')
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#ax10.quiver(mesh.bb[2][::10, mesh.ymid, ::10], mesh.bb[0][::10, mesh.ymid, ::10], pivot='middle')
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#ax11.quiver(mesh.bb[1][::10, ::10, mesh.zmid], mesh.bb[0][::10, ::10, mesh.zmid], pivot='middle')
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#ax00.quiver(mesh.yy, mesh.zz, mesh.bb[2][mesh.xmid, :, :], mesh.bb[1][mesh.xmid, :, :], pivot='middle')
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#ax10.quiver(mesh.xx, mesh.zz, mesh.bb[2][:, mesh.ymid, :], mesh.bb[0][:, mesh.ymid, :], pivot='middle')
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#ax11.quiver(mesh.xx, mesh.yy, mesh.bb[1][:, :, mesh.zmid], mesh.bb[0][:, :, mesh.zmid], pivot='middle')
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if velfieldlines:
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ax00.streamplot(mesh.yy, mesh.zz, mesh.uu[2][mesh.xmid, :, :], mesh.uu[1][mesh.xmid, :, :])
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ax10.streamplot(mesh.xx, mesh.zz, mesh.uu[2][:, mesh.ymid, :], mesh.uu[0][:, mesh.ymid, :])
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ax11.streamplot(mesh.xx, mesh.yy, mesh.uu[1][:, :, mesh.zmid], mesh.uu[0][:, : ,mesh.zmid])
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cbar = plt.colorbar(map1, cax=axcbar)
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if bitmap:
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plt.savefig('%s_%s.png' % (fname, mesh.framenum))
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print('Saved %s_%s.png' % (fname, mesh.framenum))
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plt.close(fig)
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