.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "gallery/scene/lasso.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_gallery_scene_lasso.py: Vispy Lasso =========== Demonstrate the use of lasso selection. The lasso selection is done on a 2D scatter but could be extended further by user. .. GENERATED FROM PYTHON SOURCE LINES 15-158 .. image-sg:: /gallery/scene/images/sphx_glr_lasso_001.png :alt: lasso :srcset: /gallery/scene/images/sphx_glr_lasso_001.png :class: sphx-glr-single-img .. code-block:: Python import sys import warnings import numpy as np from vispy import app, scene from vispy.geometry import curves from vispy.scene import visuals try: from matplotlib import path except ImportError: warnings.warn("Lasso example requires matplotlib for more accurate selection. Falling back to numpy based selection.") path = None LASSO_COLOR = (1, .1, .1) FILTERED_COLOR = (1, 1, 1, 0.3) SELECTED_COLOR = (0.3, 0, 1, 1.0) PEN_RADIUS = 2 MIN_MOVE_UPDATE_THRESHOLD = 5 NUMBER_POINT = 2000000 SCATTER_SIZE = 5 canvas = scene.SceneCanvas(keys='interactive', show=True) view = canvas.central_widget.add_view() pointer = scene.visuals.Ellipse(center=(0., 0.), radius=(PEN_RADIUS, PEN_RADIUS,), color=None, border_width=0.2, border_color="white", num_segments=10, parent=view.scene) lasso = scene.visuals.Line(pos=np.array([[0, 0], [0, 0]]), color = LASSO_COLOR, parent=view.scene, width = PEN_RADIUS , antialias=True) px, py = 0, 0 # generate data pos = 360 * np.random.normal(size=(NUMBER_POINT, 2), scale=1) # one could stop here for the data generation, the rest is just to make the # data look more interesting. Copied over from magnify.py centers = np.random.normal(size=(NUMBER_POINT, 2), scale = 1) * 960 indexes = np.random.normal(size=NUMBER_POINT, loc=centers.shape[0] / 2, scale=centers.shape[0] / 3) indexes = np.clip(indexes, 0, centers.shape[0] - 1).astype(int) pos += centers[indexes] # create scatter object and fill in the data scatter = visuals.Markers() point_color = np.full((NUMBER_POINT, 4), FILTERED_COLOR) selected_mask = np.full(NUMBER_POINT, False) scatter.set_data(pos, edge_width=0, face_color=point_color, size=SCATTER_SIZE) view.add(scatter) def points_in_polygon(polygon, pts): """Get boolean mask of points in a polygon reusing matplotlib implementation. The fallback code is based from StackOverflow answer by ``Ta946`` in this question: https://stackoverflow.com/questions/36399381/whats-the-fastest-way-of-checking-if-a-point-is-inside-a-polygon-in-python This is a proof of concept and depending on your use case, willingness to add other dependencies, and your performance needs one of the other answers on the above question would serve you better (ex. shapely, etc). """ # Filter vertices out of the polygon's bounding box, this serve as an early optimization whenever number of vertices # to filter out is huge. x1, x2, y1, y2 = min(polygon[:, 0]), max(polygon[:, 0]), min(polygon[:, 1]), max(polygon[:, 1]) selection_mask = (x1 < pts[:, 0]) & (pts[:, 0] < x2) & (y1 < pts[:, 1]) & (pts[:, 1] < y2) pts_in_bbox = pts[selection_mask] # Select vertices inside the polygon. if path is not None: polygon = path.Path(polygon[:, :2], closed = True) polygon_mask = polygon.contains_points(pts_in_bbox[:, :2]) else: contour2 = np.vstack((polygon[1:], polygon[:1])) test_diff = contour2-polygon m1 = (polygon[:,1] > pts_in_bbox[:,None,1]) != (contour2[:,1] > pts_in_bbox[:,None,1]) slope = ((pts_in_bbox[:,None,0]-polygon[:,0])*test_diff[:,1])-(test_diff[:,0]*(pts_in_bbox[:,None,1]-polygon[:,1])) m2 = slope == 0 mask2 = (m1 & m2).any(-1) m3 = (slope < 0) != (contour2[:,1] < polygon[:,1]) m4 = m1 & m3 count = np.count_nonzero(m4, axis=-1) mask3 = ~(count%2==0) polygon_mask = mask2 | mask3 # Return the full selection mask based on bounding box & polygon selection. selection_mask[np.where(selection_mask == True)] &= polygon_mask return selection_mask def select(polygon_vertices, points): # Set default mask to filter everything since user selection # is not yet calculated. selected_mask = np.full((NUMBER_POINT, 4), FILTERED_COLOR) if polygon_vertices is not None: # Optimization: It's faster to convert lasso selection straight to visual coordinates since there's generally less vertices # this would speed up the processing depending on the scene. polygon_vertices = scatter.get_transform('canvas', 'visual').map(polygon_vertices) selected_mask = points_in_polygon(polygon_vertices, points) return selected_mask @canvas.connect def on_mouse_press(event): global point_color, selected_mask if event.button == 1: # Reset lasso state. lasso.set_data(pos=np.empty((1, 2))) # Reset selected vertices to the filtered color, this would earn some time in case # scene contains a lot of vertices. point_color[selected_mask] = FILTERED_COLOR scatter.set_data(pos, edge_width=0, face_color=point_color, size=SCATTER_SIZE) @canvas.connect def on_mouse_move(event): global pointer, px, py pp = event.pos # Optimization: to avoid too much recalculation/update we can update scene only if the mouse # moved a certain amount of pixel. if (abs(px - pp[0]) > MIN_MOVE_UPDATE_THRESHOLD or abs(py - pp[1]) > MIN_MOVE_UPDATE_THRESHOLD): pointer.center = pp if event.button == 1: polygon_vertices = event.trail() lasso.set_data(pos = np.insert(polygon_vertices, len(polygon_vertices), polygon_vertices[0], axis=0)) px, py = pp @canvas.connect def on_mouse_release(event): global point_color, selected_mask if event.button == 1: selected_mask = select(event.trail(), pos) # Set selected points with selection color point_color[selected_mask] = SELECTED_COLOR scatter.set_data(pos, edge_width=0, face_color=point_color, size=SCATTER_SIZE) if __name__ == '__main__': canvas.show() if sys.flags.interactive == 0: app.run() .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 9.919 seconds) .. _sphx_glr_download_gallery_scene_lasso.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: lasso.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: lasso.py ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_