Note
Go to the end to download the full example as a Python script or as a Jupyter notebook.
Add points with text#
Display a points layer on top of an image layer using the add_points
and
add_image
APIs
import numpy as np
import napari
# add the image
viewer = napari.view_image(np.zeros((400, 400)))
# add the points
points = np.array([[100, 100], [200, 300], [333, 111]])
# create features for each point
features = {
'confidence': np.array([1, 0.5, 0]),
'good_point': np.array([True, False, False]),
}
# define the color cycle for the face_color annotation
face_color_cycle = ['blue', 'green']
text = {
'string': 'Confidence is {confidence:.2f}',
'size': 20,
'color': 'green',
'translation': np.array([-30, 0]),
}
# create a points layer where the face_color is set by the good_point feature
# and the border_color is set via a color map (grayscale) on the confidence
# feature.
points_layer = viewer.add_points(
points,
features=features,
text=text,
size=20,
border_width=7,
border_width_is_relative=False,
border_color='confidence',
border_colormap='gray',
face_color='good_point',
face_color_cycle=face_color_cycle,
)
# set the border_color mode to colormap
points_layer.border_color_mode = 'colormap'
if __name__ == '__main__':
napari.run()