def test_download_kitchen_split():
data = examples.download_kitchen(split=True)
assert data.n_blocks
def test_download_kitchen():
data = examples.download_kitchen()
assert data.n_cells
Plot Over Line ~~~~~~~~~~~~~~ Plot the values of a dataset over a line through that dataset """ # sphinx_gallery_thumbnail_number = 2 import pyvista as pv from pyvista import examples ############################################################################### # Volumetric Mesh # +++++++++++++++ # # First a 3D mesh example to demonstrate mesh = examples.download_kitchen() # Make two points to construct the line between a = [mesh.bounds[0], mesh.bounds[2], mesh.bounds[4]] b = [mesh.bounds[1], mesh.bounds[3], mesh.bounds[5]] # Preview how this line intersects this mesh line = pv.Line(a, b) p = pv.Plotter() p.add_mesh(mesh, style="wireframe", color="w") p.add_mesh(line, color="b") p.show() ############################################################################### # Run the filter and produce a line plot
:func:`pyvista.WidgetHelper.clear_line_widgets` methods respectively.
Unfortunately, PyVista does not have any helper methods to utilize this
widget, so it is necessary to pass a custom callback method.
One particularly fun example is to use the line widget to create a source for
the :func:`pyvista.DataSetFilters.streamlines` filter. Again note the use of
the ``name`` argument in ``add_mesh``.
"""
import pyvista as pv
from pyvista import examples
import numpy as np
pv.set_plot_theme('doc')
mesh = examples.download_kitchen()
furniture = examples.download_kitchen(split=True)
arr = np.linalg.norm(mesh['velocity'], axis=1)
clim = [arr.min(), arr.max()]
###############################################################################
p = pv.Plotter()
p.add_mesh(furniture, name='furniture', color=True)
p.add_mesh(mesh.outline(), color='black')
p.add_axes()
def simulate(pointa, pointb):
streamlines = mesh.streamlines(n_points=10,
p = pv.Plotter() p.add_mesh(streamlines.tube(radius=0.2), lighting=False) p.add_mesh(src) p.add_mesh(boundary, color="grey", opacity=0.25) p.camera_position = [(10, 9.5, -43), (87.0, 73.5, 123.0), (-0.5, -0.7, 0.5)] p.show() ############################################################################### # Kitchen # +++++++ # kpos = [(-6.68, 11.9, 11.6), (3.5, 2.5, 1.26), (0.45, -0.4, 0.8)] mesh = examples.download_kitchen() kitchen = examples.download_kitchen(split=True) ############################################################################### streamlines = mesh.streamlines(n_points=40, source_center=(0.08, 3, 0.71)) ############################################################################### p = pv.Plotter() p.add_mesh(mesh.outline(), color="k") p.add_mesh(kitchen, color=True) p.add_mesh(streamlines.tube(radius=0.01), scalars="velocity", lighting=False) p.camera_position = kpos p.show() ###############################################################################
