Scalar Quantities

Visualize scalar valued data at the nodes or edges of a curve network.

curve network scalar demo


import numpy as np
import polyscope as ps

# register a curve network 
N_node = 100
N_edge = 250
nodes = np.random.rand(N_node, 3)
edges = np.random.randint(0, N_node, size=(N_edge,2))
ps_net = ps.register_curve_network("my network", nodes, edges)

# visualize some random data per-node
vals_node = np.random.rand(N_node)
ps_net.add_scalar_quantity("rand vals", vals_node, enabled=True)

# visualize some random data per-edge
vals_edge = np.random.rand(N_edge)
ps_net.add_scalar_quantity("rand vals2", vals_edge, defined_on='edges')

# as always, we can customize the initial appearance
ps_net.add_scalar_quantity("rand vals2 opt", vals_edge, defined_on='edges', 
                           enabled=True, vminmax=(-3., 3.), cmap='reds')

# view the network with all of these quantities 

CurveNetwork.add_scalar_quantity(name, values, defined_on='nodes', enabled=None, datatype="standard", vminmax=None, cmap=None)

Add a scalar quantity to the network.

  • name string, a name for the quantity
  • values a length N numpy array, scalars at nodes/edges
  • defined_on string, one of nodes or edges, is this data a value per-node or a value per-edge?

Additional optional keyword arguments:

  • enabled boolean, whether the quantity is initially enabled (note that generally only one quantity can be shown at a time; the most recent will be used)
  • datatype, one of standard, symmetric, or magnitude, affects default colormap and map range
  • vminmax, a 2-tuple of floats, specifying the min and max range to colormap in to
  • cmap, which colormap to use

if not specified, these optional parameters will assume a reasonable default value, or a persistent value if previously set.