"""
.. _point_labels_example:

Label Points
~~~~~~~~~~~~

Use string arrays in a point set to label points
"""

import numpy as np
import pyvista as pv

# sphinx_gallery_start_ignore
# labels are not currently supported by vtk-js
PYVISTA_GALLERY_FORCE_STATIC_IN_DOCUMENT = True
# sphinx_gallery_end_ignore

# sphinx_gallery_thumbnail_number = 3
from pyvista import examples

# %%
# 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. Seed the rng for reproducibility.
rng = np.random.default_rng(seed=0)
poly = pv.PolyData(rng.random((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

# %%
# Now plot the points with labels using :func:`~pyvista.Plotter.add_point_labels`.

pl = pv.Plotter()
pl.add_point_labels(poly, 'My Labels', point_size=20, font_size=36)
pl.show()


# %%
# 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
pl = pv.Plotter()
pl.add_mesh(grid, show_edges=True, color='lightblue')

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

pl.camera_position = pv.CameraPosition(
    position=(-1.5, 1.5, 3.0), focal_point=(0.05, 0.6, 1.2), viewup=(0.2, 0.9, -0.25)
)

pl.show()


# %%
# Label Scalar Values
# +++++++++++++++++++
#
# This example will label each point with their scalar values

mesh = examples.load_uniform().slice()

# %%
pl = pv.Plotter()

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

# Use a nice camera position:
pl.camera_position = pv.CameraPosition(
    position=(7, 4, 5), focal_point=(4.4, 7.0, 7.2), viewup=(0.8, 0.5, 0.25)
)

pl.show()
# %%
# .. tags:: plot
