deploy: napari/docs@c6329fb

dev/html/.buildinfo

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+# Sphinx build info version 1
+# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
+config: 8e851b6de6e482421765994aeda5d8bb
+tags: 645f666f9bcd5a90fca523b33c5a78b7

dev/html/_downloads/0151608a12a917be578012c602f3d75b/nD_multiscale_image.py

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+"""
+nD multiscale image
+===================
+
+Displays an nD multiscale image
+
+.. tags:: visualization-advanced
+"""
+
+import numpy as np
+from skimage.transform import pyramid_gaussian
+
+import napari
+
+# create multiscale from random data
+base = np.random.random((1536, 1536))
+base = np.array([base * (8 - i) / 8 for i in range(8)])
+print('base shape', base.shape)
+multiscale = list(
+    pyramid_gaussian(base, downscale=2, max_layer=2, channel_axis=-1)
+)
+print('multiscale level shapes: ', [p.shape for p in multiscale])
+
+# add image multiscale
+viewer = napari.view_image(multiscale, contrast_limits=[0, 1], multiscale=True)
+
+if __name__ == '__main__':
+    napari.run()

dev/html/_downloads/02abd904ab6dfedb781bffb4eb5c091d/mouse_drag_callback.py

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+"""
+Mouse drag callback
+===================
+
+Example updating the status bar with line profile info while dragging
+lines around in a shapes layer.
+
+.. tags:: gui
+"""
+
+import numpy as np
+from skimage import data, measure
+
+import napari
+
+
+def profile_lines(image, shape_layer):
+    profile_data = [
+        measure.profile_line(image, line[0], line[1], mode='reflect').mean()
+        for line in shape_layer.data
+    ]
+    print(f"profile means: [{', '.join(f'{d:.2f}' for d in profile_data)}]")
+
+
+np.random.seed(1)
+viewer = napari.Viewer()
+blobs = data.binary_blobs(length=512, volume_fraction=0.1, n_dim=2)
+viewer.add_image(blobs, name='blobs')
+line1 = np.array([[11, 13], [111, 113]])
+line2 = np.array([[200, 200], [400, 300]])
+lines = [line1, line2]
+shapes_layer = viewer.add_shapes(
+    lines,
+    shape_type='line',
+    edge_width=5,
+    edge_color='coral',
+    face_color='royalblue',
+)
+shapes_layer.mode = 'select'
+
+
+@shapes_layer.mouse_drag_callbacks.append
+def profile_lines_drag(layer, event):
+    profile_lines(blobs, layer)
+    yield
+    while event.type == 'mouse_move':
+        profile_lines(blobs, layer)
+        # the yield statement allows the mouse UI to keep working while
+        # this loop is executed repeatedly
+        yield
+
+
+if __name__ == '__main__':
+    napari.run()

dev/html/_downloads/03b8aca5ce2cf0ea3dcfe976abd763e0/cursor_position.ipynb

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+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Cursor position\n\nAdd small data to examine cursor positions\n\n.. tags:: interactivity\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "import numpy as np\n\nimport napari\n\nviewer = napari.Viewer()\nimage = np.array([[1, 0, 0, 1],\n                  [0, 0, 1, 1],\n                  [1, 0, 3, 0],\n                  [0, 2, 0, 0]], dtype=int)\n\nviewer.add_labels(image)\n\npoints = np.array([[0, 0], [2, 0], [1, 3]])\nviewer.add_points(points, size=0.25)\n\nrect = np.array([[0, 0], [3, 1]])\nviewer.add_shapes(rect, shape_type='rectangle', edge_width=0.1)\n\nvect = np.array([[[3, 2], [-1, 1]]])\nviewer.add_vectors(vect, edge_width=0.1)\n\nif __name__ == '__main__':\n    napari.run()"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.10.14"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}

dev/html/_downloads/05c99088daf94818055a38d86842b92a/add_points_with_multicolor_text.py

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+"""
+Add points with multicolor text
+===============================
+
+Display a points layer on top of an image layer with text using
+multiple face colors mapped from features for the points and text.
+
+.. tags:: visualization-basic
+"""
+
+import numpy as np
+
+import napari
+
+# add the image with three points
+viewer = napari.view_image(np.zeros((400, 400)))
+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 points face and text colors
+color_cycle = ['blue', 'green']
+
+text = {
+    'string': 'Confidence is {confidence:.2f}',
+    'size': 20,
+    'color': {'feature': 'good_point', 'colormap': color_cycle},
+    '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=color_cycle,
+)
+
+# set the border_color mode to colormap
+points_layer.border_color_mode = 'colormap'
+
+if __name__ == '__main__':
+    napari.run()