cwpearson/astaroth
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General purpose Python tool improvements.

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This commit is contained in:
Miikka Vaisala
2020-01-14 14:23:24 +08:00
parent 185b33980f
commit d947bdccb8
3 changed files with 162 additions and 36 deletions
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55
analysis/python/astar/visual/slices.py
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@@ -26,7 +26,8 @@ CM_INFERNO = plt.get_cmap('inferno')
def plot_3(mesh, input_grid, title = '', fname = 'default', bitmap=False,
slicetype = 'middle', colrange=None, colormap=CM_INFERNO ,
contourplot=False, points_from_centre = -1, bfieldlines=False, velfieldlines=False):
contourplot=False, points_from_centre = -1, bfieldlines=False, velfieldlines=False, trimghost = 0):
fig = plt.figure(figsize=(8, 8))
grid = gridspec.GridSpec(2, 3, wspace=0.4, hspace=0.4, width_ratios=[1,1, 0.15])
ax00 = fig.add_subplot( grid[0,0] )
@@ -40,21 +41,30 @@ def plot_3(mesh, input_grid, title = '', fname = 'default', bitmap=False,
yz_slice = input_grid[mesh.xmid, :, :]
xz_slice = input_grid[:, mesh.ymid, :]
xy_slice = input_grid[:, :, mesh.zmid]
if colrange==None:
plotnorm = colors.Normalize(vmin=input_grid.min(),vmax=input_grid.max())
else:
plotnorm = colors.Normalize(vmin=colrange[0],vmax=colrange[1])
elif slicetype == 'sum':
yz_slice = np.sum(input_grid, axis=0)
xz_slice = np.sum(input_grid, axis=1)
xy_slice = np.sum(input_grid, axis=2)
cmin = np.amin([yz_slice.min(), xz_slice.min(), xy_slice.min()])
cmax = np.amax([yz_slice.max(), xz_slice.max(), xy_slice.max()])
if colrange==None:
plotnorm = colors.Normalize(vmin=cmin,vmax=cmax)
else:
plotnorm = colors.Normalize(vmin=colrange[0],vmax=colrange[1])
yz_slice = yz_slice[trimghost : yz_slice.shape[0]-trimghost,
trimghost : yz_slice.shape[1]-trimghost]
xz_slice = xz_slice[trimghost : xz_slice.shape[0]-trimghost,
trimghost : xz_slice.shape[1]-trimghost]
xy_slice = xy_slice[trimghost : xy_slice.shape[0]-trimghost,
trimghost : xy_slice.shape[1]-trimghost]
mesh_xx_tmp = mesh.xx[trimghost : mesh.xx.shape[0]-trimghost]
mesh_yy_tmp = mesh.yy[trimghost : mesh.yy.shape[0]-trimghost]
mesh_zz_tmp = mesh.zz[trimghost : mesh.zz.shape[0]-trimghost]
#Set the coulourscale
cmin = np.amin([yz_slice.min(), xz_slice.min(), xy_slice.min()])
cmax = np.amax([yz_slice.max(), xz_slice.max(), xy_slice.max()])
if colrange==None:
plotnorm = colors.Normalize(vmin=cmin,vmax=cmax)
else:
plotnorm = colors.Normalize(vmin=colrange[0],vmax=colrange[1])
if points_from_centre > 0:
yz_slice = yz_slice[int(yz_slice.shape[0]/2)-points_from_centre : int(yz_slice.shape[0]/2)+points_from_centre,
int(yz_slice.shape[1]/2)-points_from_centre : int(yz_slice.shape[1]/2)+points_from_centre]
@@ -62,11 +72,11 @@ def plot_3(mesh, input_grid, title = '', fname = 'default', bitmap=False,
int(xz_slice.shape[1]/2)-points_from_centre : int(xz_slice.shape[1]/2)+points_from_centre]
xy_slice = xy_slice[int(xy_slice.shape[0]/2)-points_from_centre : int(xy_slice.shape[0]/2)+points_from_centre,
int(xy_slice.shape[1]/2)-points_from_centre : int(xy_slice.shape[1]/2)+points_from_centre]
mesh.xx = mesh.xx[int(mesh.xx.shape[0]/2)-points_from_centre : int(mesh.xx.shape[0]/2)+points_from_centre]
mesh.yy = mesh.yy[int(mesh.yy.shape[0]/2)-points_from_centre : int(mesh.yy.shape[0]/2)+points_from_centre]
mesh.zz = mesh.zz[int(mesh.zz.shape[0]/2)-points_from_centre : int(mesh.zz.shape[0]/2)+points_from_centre]
mesh_xx_tmp = mesh.xx[int(mesh.xx.shape[0]/2)-points_from_centre : int(mesh.xx.shape[0]/2)+points_from_centre]
mesh_yy_tmp = mesh.yy[int(mesh.yy.shape[0]/2)-points_from_centre : int(mesh.yy.shape[0]/2)+points_from_centre]
mesh_zz_tmp = mesh.zz[int(mesh.zz.shape[0]/2)-points_from_centre : int(mesh.zz.shape[0]/2)+points_from_centre]
yy, zz = np.meshgrid(mesh.yy, mesh.zz, indexing='ij')
yy, zz = np.meshgrid(mesh_xx_tmp, mesh_xx_tmp, indexing='ij')
if contourplot:
map1 = ax00.contourf(yy, zz, yz_slice, norm=plotnorm, cmap=colormap, nlev=10)
else:
@@ -76,9 +86,10 @@ def plot_3(mesh, input_grid, title = '', fname = 'default', bitmap=False,
ax00.set_title('%s t = %.4e' % (title, mesh.timestamp) )
ax00.set_aspect('equal')
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"]])
if mesh.minfo.contents["AC_accretion_range"] > 0.0:
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"]])
xx, zz = np.meshgrid(mesh.xx, mesh.zz, indexing='ij')
xx, zz = np.meshgrid(mesh_xx_tmp, mesh_zz_tmp, indexing='ij')
if contourplot:
ax10.contourf(xx, zz, xz_slice, norm=plotnorm, cmap=colormap, nlev=10)
else:
@@ -87,9 +98,10 @@ def plot_3(mesh, input_grid, title = '', fname = 'default', bitmap=False,
ax10.set_ylabel('z')
ax10.set_aspect('equal')
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"]])
if mesh.minfo.contents["AC_accretion_range"] > 0.0:
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"]])
xx, yy = np.meshgrid(mesh.xx, mesh.yy, indexing='ij')
xx, yy = np.meshgrid(mesh_xx_tmp, mesh_yy_tmp, indexing='ij')
if contourplot:
ax11.contourf(xx, yy, xy_slice, norm=plotnorm, cmap=colormap, nlev=10)
else:
@@ -98,7 +110,8 @@ def plot_3(mesh, input_grid, title = '', fname = 'default', bitmap=False,
ax11.set_ylabel('y')
ax11.set_aspect('equal')
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"]])
if mesh.minfo.contents["AC_accretion_range"] > 0.0:
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"]])
if bfieldlines:
ax00.streamplot(mesh.yy, mesh.zz, np.mean(mesh.bb[1], axis=0), np.mean(mesh.bb[2], axis=0))