update

particle.py

@@ -163,6 +163,26 @@ class Particles:
                 self.attr[key] %= self.period[axis]
         return
 
+    def extend_periodic(self,rep=1,axis=0):
+        '''Duplicates particle along a periodic direction.'''
+        assert axis<3, "'axis' must be smaller than 3."
+        assert self.period[axis] is not None, "Cannot duplicate along non-periodic direction."
+        npart  = self.num*(rep+1)
+        period = list(self.period)
+        period[axis] *= (rep+1)
+        attr = {}
+        for key in self.attr:
+            attr[key] = np.empty(npart,dtype=self.attr[key].dtype) 
+        offset = 0
+        for irep in range(rep+1):
+            attr['id'][offset:offset+self.num] = self.attr['id']+offset
+            for key in self.attr:
+                if key=='id': continue
+                attr[key][offset:offset+self.num] = self.attr[key]
+            attr[('x','y','z')[axis]][offset:offset+self.num] += irep*self.period[axis]
+            offset += self.num
+        return Particles(npart,self.time,attr,period)
+
     def position_with_duplicates(self,ipart,padding=0.0):
         pos  = np.array(
             (self.attr['x'][ipart],

visu.py

@@ -44,7 +44,7 @@ def camera_from_distance(pl,bounds,viewvec,dist,
     focal_point = get_focal_point(bounds,focus,is_focus_relative)
     position = focal_point-viewvec/np.linalg.norm(viewvec)*dist
     return camera_from_position(pl,
-                bounds,viewvec,position,
+                bounds,position,
                 focus=focal_point,
                 viewup=viewup,
                 zoom=zoom,
@@ -150,3 +150,33 @@ def translate_circular(pd,translation,bounds,axis=0):
     pd_hi.translate(shift_back)
     # return the merged PolyData
     return pd_lo+pd_hi
+
+def warped_surface_rectilinear(x,y,z,data,axis):
+    import numpy as np
+    import pyvista as pv
+    x = np.array(x).flatten()
+    y = np.array(y).flatten()
+    z = np.array(z).flatten()
+    if axis==0: assert x.shape[0]==1
+    if axis==1: assert y.shape[0]==1
+    if axis==2: assert z.shape[0]==1
+    normal = [0,0,0]
+    normal[axis] = 1
+    grid = pv.RectilinearGrid(x,y,z)
+    grid['warp'] = data.transpose().ravel()
+    return grid.warp_by_scalar(normal=normal)
+
+def warped_surface_uniform(origin,spacing,data,axis):
+    import numpy as np
+    import pyvista as pv
+    assert data.shape[axis]==1
+    normal = [0,0,0]
+    normal[axis] = 1
+    grid = pv.UniformGrid()
+    grid.dimensions = data.shape
+    grid.origin     = origin
+    grid.spacing    = spacing
+    grid['warp']    = data.transpose().ravel()
+    return grid.warp_by_scalar(normal=normal)
+
+#def extend_structuredgrid(sg,bounds,rep,axis):