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# -*- coding: utf-8 -*-
# Copyright (c) Vispy Development Team. All Rights Reserved.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
from __future__ import division
import numpy as np
from .mesh import MeshVisual
from ..geometry import MeshData
class SurfacePlotVisual(MeshVisual):
"""Displays a surface plot on a regular x,y grid
Parameters
----------
x : ndarray | None
1D/2D array of values specifying the x positions of vertices in the
grid. In case 1D array given as input, the values will be replicated
to fill the 2D array of size(z). If None, values will be assumed to
be integers.
y : ndarray | None
1D/2D array of values specifying the y positions of vertices in the
grid. In case 1D array given as input, the values will be replicated
to fill the 2D array of size(z). If None, values will be assumed to
be integers.
z : ndarray
2D array of height values for each grid vertex.
colors : ndarray
(width, height, 4) array of vertex colors.
Notes
-----
All arguments are optional.
Note that if vertex positions are updated, the normal vectors for each
triangle must be recomputed. This is somewhat expensive if the surface
was initialized with smooth=False and very expensive if smooth=True.
For faster performance, initialize with compute_normals=False and use
per-vertex colors or a material that does not require normals.
"""
def __init__(self, x=None, y=None, z=None, colors=None, **kwargs):
# The x, y, z, and colors arguments are passed to set_data().
# All other keyword arguments are passed to MeshVisual.__init__().
self._x = None
self._y = None
self._z = None
self.__vertices = None
self.__faces = None
self.__meshdata = MeshData()
kwargs.setdefault('shading', 'smooth')
MeshVisual.__init__(self, **kwargs)
self.set_data(x, y, z, colors)
def _update_x_data(self, x):
if x is not None:
if self._x is None or len(x) != len(self._x):
self.__vertices = None
self._x = x
def _update_y_data(self, y):
if y is not None:
if self._y is None or len(y) != len(self._y):
self.__vertices = None
self._y = y
def _update_z_data(self, z):
if z is not None:
if self._x is not None and z.shape[0] != len(self._x):
raise TypeError('Z values must have shape (len(x), len(y))')
if self._y is not None and z.shape[1] != self._y.shape[-1]:
raise TypeError('Z values must have shape (len(x), len(y)) or (x.shape[0], y.shape[1])')
self._z = z
if (self.__vertices is not None and
self._z.shape != self.__vertices.shape[:2]):
self.__vertices = None
def _update_mesh_vertices(self, x_is_new, y_is_new, z_is_new):
new_vertices = False
update_vertices = False
update_faces = False
# Generate vertex and face array
if self.__vertices is None:
self.__vertices = np.empty((self._z.shape[0], self._z.shape[1], 3),
dtype=np.float32)
self.__faces = self._generate_faces()
new_vertices = True
update_faces = True
# Copy x, y, z data into vertex array
if new_vertices or x_is_new:
if not x_is_new and self._x is None:
x = np.arange(self._z.shape[0])
else:
x = self._x
if x.ndim == 1:
x = x.reshape(len(x), 1)
# Copy the 2D data into the appropriate slice
self.__vertices[:, :, 0] = x
update_vertices = True
if new_vertices or y_is_new:
if not y_is_new and self._y is None:
y = np.arange(self._z.shape[1])
else:
y = self._y
if y.ndim == 1:
y = y.reshape(1, len(y))
# Copy the 2D data into the appropriate slice
self.__vertices[:, :, 1] = y
update_vertices = True
if new_vertices or z_is_new:
self.__vertices[..., 2] = self._z
update_vertices = True
return update_faces, update_vertices
def _prepare_mesh_colors(self, colors):
if colors is None:
return
colors = np.asarray(colors)
if colors.ndim == 3:
# convert (width, height, 4) to (num_verts, 4)
vert_shape = self.__vertices.shape
num_vertices = vert_shape[0] * vert_shape[1]
colors = colors.reshape(num_vertices, colors.shape[-1])
return colors
def set_data(self, x=None, y=None, z=None, colors=None):
"""Update the data in this surface plot.
Parameters
----------
x : ndarray | None
1D/2D array of values specifying the x positions of vertices in
the grid. In case 1D array given as input, the values will be
replicated to fill the 2D array of size(z). If None, values will be
assumed to be integers.
y : ndarray | None
1D/2D array of values specifying the x positions of vertices in
the grid. In case 1D array given as input, the values will be
replicated to fill the 2D array of size(z). If None, values will be
assumed to be integers.
z : ndarray
2D array of height values for each grid vertex.
colors : ndarray
(width, height, 4) array of vertex colors.
"""
self._update_x_data(x)
self._update_y_data(y)
self._update_z_data(z)
if self._z is None:
# no mesh data to plot so no need to update
return
update_faces, update_vertices = self._update_mesh_vertices(
x is not None,
y is not None,
z is not None
)
colors = self._prepare_mesh_colors(colors)
update_colors = colors is not None
if update_colors:
self.__meshdata.set_vertex_colors(colors)
if update_faces:
self.__meshdata.set_faces(self.__faces)
if update_vertices:
self.__meshdata.set_vertices(
self.__vertices.reshape(self.__vertices.shape[0] *
self.__vertices.shape[1], 3))
if update_faces or update_vertices or update_colors:
MeshVisual.set_data(self, meshdata=self.__meshdata)
def _generate_faces(self):
cols = self._z.shape[1] - 1
rows = self._z.shape[0] - 1
faces = np.empty((cols * rows * 2, 3), dtype=np.uint)
rowtemplate1 = (np.arange(cols).reshape(cols, 1) +
np.array([[0, 1, cols + 1]]))
rowtemplate2 = (np.arange(cols).reshape(cols, 1) +
np.array([[cols + 1, 1, cols + 2]]))
for row in range(rows):
start = row * cols * 2
faces[start:start + cols] = rowtemplate1 + row * (cols + 1)
faces[start + cols:start + (cols * 2)] =\
rowtemplate2 + row * (cols + 1)
return faces
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