{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import k3d\n", "import numpy as np\n", "\n", "points_number = 15\n", "spread_range = 30\n", "positions = spread_range * np.random.random_sample((points_number, 3)) - spread_range / 2\n", "colors = np.random.randint(0, 0xFFFFFF, points_number)\n", "\n", "plot = k3d.plot(height=240)\n", "points = k3d.points(positions.astype(np.float32), colors.astype(np.uint32), point_size=3.0, shader='mesh')\n", "plot += points\n", "plot.display()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import ipywidgets\n", "from IPython import display\n", "\n", "# recommended for animations\n", "plot.camera_auto_fit = False\n", "plot.grid_auto_fit = False\n", "\n", "speeds = -0.5 * np.sign(positions)\n", "out = ipywidgets.Output()\n", "\n", "@plot.yield_screenshots\n", "def coroutine():\n", " global positions\n", " for i in range(20):\n", " positions += speeds\n", " points.positions = positions.astype(np.float32)\n", " plot.fetch_screenshot()\n", " screenshot = yield\n", " with open('screenshot_{}.png'.format(i), 'wb') as f:\n", " f.write(screenshot)\n", " with out:\n", " print('screenshot_{}.png saved.'.format(i))\n", " with out:\n", " print('done.')\n", "\n", "coroutine()\n", "print('loop is running in background...')\n", "out" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from IPython import display\n", "\n", "display.Image('screenshot_0.png')" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "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": "3.6.8" } }, "nbformat": 4, "nbformat_minor": 2 }