def read_data():
plot3d = tvtk.MultiBlockPLOT3DReader(xyz_file_name="combxyz.bin",
q_file_name="combq.bin",
scalar_function_number=100,
vector_function_number=200)
plot3d.update()
return plot3d
def read_data(): # 读入数据
plot3d = tvtk.MultiBlockPLOT3DReader(
xyz_file_name="combxyz.bin", # 网格文件
q_file_name="combq.bin", # 空气动力学结果文件
scalar_function_number=100, # 设置标量数据数量
vector_function_number=200 # 设置矢量数据数量
)
plot3d.update()
return plot3d
def read_data():
# 读入数据
folder = path.dirname(__file__)
plot3d = tvtk.MultiBlockPLOT3DReader(
xyz_file_name=path.join(folder, "combxyz.bin"),
q_file_name=path.join(folder, "combq.bin"),
scalar_function_number=100, vector_function_number=200
)
plot3d.update()
return plot3d
def test3(self):
plot3d = tvtk.MultiBlockPLOT3DReader(xyz_file_name="combxyz.bin",
q_file_name="combq,bin",
scalar_function_number=100,
vector_function_number=200)
plot3d.update()
grid = plot3d.output.get_block(0)
con = tvtk.ContourFilter()
con.set_input_data(grid)
con.generate_values(10, grid.point_data.scalars.range)
m = tvtk.PolyDataMapper(scalar_range=grid.point_data.scalars.range,
input_connection=con.output_port)
a = tvtk.Actor(mapper=m)
a.property.opacity = 0.5
win = self.ivtk_scene(a)
win.scene.isometric_view()
self.event_loop()
from tvtk.api import tvtk
from CStvtkfunc import ivtk_scene, event_loop
#读入PLot3D数据
plot3d = tvtk.MultiBlockPLOT3DReader(xyz_file_name="Element\combxyz.bin",
q_file_name="Element\combq.bin",
scalar_function_number=100,
vector_function_number=200)
plot3d.update()
grid = plot3d.output.get_block(0)
#对数据集中的数据进行随机选取，每50个点选择一个点
mask = tvtk.MaskPoints(random_mode=True, on_ratio=50)
mask.set_input_data(grid)
#创建表示箭头的PolyData数据集
glyph_source = tvtk.ConeSource()
#在Mask采样后的PolyData数据集每个点上放置一个箭头
#箭头的方向、长度和颜色由于点对应的矢量和标量数据决定
glyph = tvtk.Glyph3D(input_connection=mask.output_port, scale_factor=2)
glyph.set_source_connection(glyph_source.output_port)
m = tvtk.PolyDataMapper(scalar_range=grid.point_data.scalars.range,
input_connection=glyph.output_port)
a = tvtk.Actor(mapper=m)
#窗口绘制
win = ivtk_scene(a)
win.scene.isometric_view()
event_loop()
# scalar_function_number=100, # 设置标量数据数量
# vector_function_number=200 # 设置矢量数据数量
# )
# plot3d.update()
# return plot3d
#
# plot3d = read_data()
# grid = plot3d.output.get_block(0)
# PLOT3D标量数据可视化
from tvtk.api import tvtk
from tvtkfunc import ivtk_scene, event_loop
plot3d = tvtk.MultiBlockPLOT3DReader(
xyz_file_name="data/combxyz.bin",
q_file_name="data/combq.bin",
scalar_function_number=100, vector_function_number=200
) # 读入Plot3D数据
plot3d.update() # 让plot3D计算其输出数据
grid = plot3d.output.get_block(0) # 获取读入的数据集对象
con = tvtk.ContourFilter() # 创建等值面对象
con.set_input_data(grid) # 使用数据集对象创建等值面
con.generate_values(10, grid.point_data.scalars.range) # 指定轮廓数和标量数据范围
# 设定映射器的变量范围属性
m = tvtk.PolyDataMapper(scalar_range=grid.point_data.scalars.range,
input_connection=con.output_port)
# 设置对象
a = tvtk.Actor(mapper=m)
a.property.opacity = 0.5 # 设定对象透明度为0.5
