3.1-labels

%matplotlib inline
from pyvista import set_plot_theme
set_plot_theme('document')

Label Points

Use string arrays in a point set to label points

# sphinx_gallery_thumbnail_number = 3
from pyvista import examples
import pyvista as pv
import numpy as np

Label String Array

This example will label the nodes of a mesh with a given array of string labels for each of the nodes.

# Make some random points
poly = pv.PolyData(np.random.rand(10, 3))

Add string labels to the point data - this associates a label with every node:

poly["My Labels"] = [f"Label {i}" for i in range(poly.n_points)]
poly
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Now plot the points with labels:

plotter = pv.Plotter()
plotter.add_point_labels(poly, "My Labels", point_size=20, font_size=36)
plotter.show()
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Label Node Locations

This example will label the nodes of a mesh with their coordinate locations

# Load example beam file
grid = pv.UnstructuredGrid(examples.hexbeamfile)

Create plotting class and add the unstructured grid

plotter = pv.Plotter()
plotter.add_mesh(grid, show_edges=True, color="tan")

# Add labels to points on the yz plane (where x == 0)
points = grid.points
mask = points[:, 0] == 0
plotter.add_point_labels(
    points[mask], points[mask].tolist(), point_size=20, font_size=36
)

plotter.camera_position = [
    (-1.5, 1.5, 3.0),
    (0.05, 0.6, 1.2),
    (0.2, 0.9, -0.25)]

plotter.show()
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Label Scalar Values

This example will label each point with their scalar values

mesh = examples.load_uniform().slice()
p = pv.Plotter()

# Add the mesh:
p.add_mesh(mesh, scalars="Spatial Point Data", show_edges=True)
# Add the points with scalar labels:
p.add_point_scalar_labels(mesh, "Spatial Point Data", point_size=20, font_size=36)

# Use a nice camera position:
p.camera_position = [(7, 4, 5), (4.4, 7.0, 7.2), (0.8, 0.5, 0.25)]

p.show()
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Basic Notebooks
3.1-cmap
Geo Notebooks
1.0-cross-section-simple