{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n# Rain simulation\n\nSimulates rain drops on a surface by animating the scale and opacity\nof 50 scatter points.\n\nAuthor: Nicolas P. Rougier\n\nOutput generated via `matplotlib.animation.Animation.to_jshtml`.\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import matplotlib.pyplot as plt\nimport numpy as np\n\nfrom matplotlib.animation import FuncAnimation\n\n# Fixing random state for reproducibility\nnp.random.seed(19680801)\n\n\n# Create new Figure and an Axes which fills it.\nfig = plt.figure(figsize=(7, 7))\nax = fig.add_axes([0, 0, 1, 1], frameon=False)\nax.set_xlim(0, 1), ax.set_xticks([])\nax.set_ylim(0, 1), ax.set_yticks([])\n\n# Create rain data\nn_drops = 50\nrain_drops = np.zeros(n_drops, dtype=[('position', float, (2,)),\n ('size', float),\n ('growth', float),\n ('color', float, (4,))])\n\n# Initialize the raindrops in random positions and with\n# random growth rates.\nrain_drops['position'] = np.random.uniform(0, 1, (n_drops, 2))\nrain_drops['growth'] = np.random.uniform(50, 200, n_drops)\n\n# Construct the scatter which we will update during animation\n# as the raindrops develop.\nscat = ax.scatter(rain_drops['position'][:, 0], rain_drops['position'][:, 1],\n s=rain_drops['size'], lw=0.5, edgecolors=rain_drops['color'],\n facecolors='none')\n\n\ndef update(frame_number):\n # Get an index which we can use to re-spawn the oldest raindrop.\n current_index = frame_number % n_drops\n\n # Make all colors more transparent as time progresses.\n rain_drops['color'][:, 3] -= 1.0/len(rain_drops)\n rain_drops['color'][:, 3] = np.clip(rain_drops['color'][:, 3], 0, 1)\n\n # Make all circles bigger.\n rain_drops['size'] += rain_drops['growth']\n\n # Pick a new position for oldest rain drop, resetting its size,\n # color and growth factor.\n rain_drops['position'][current_index] = np.random.uniform(0, 1, 2)\n rain_drops['size'][current_index] = 5\n rain_drops['color'][current_index] = (0, 0, 0, 1)\n rain_drops['growth'][current_index] = np.random.uniform(50, 200)\n\n # Update the scatter collection, with the new colors, sizes and positions.\n scat.set_edgecolors(rain_drops['color'])\n scat.set_sizes(rain_drops['size'])\n scat.set_offsets(rain_drops['position'])\n\n\n# Construct the animation, using the update function as the animation director.\nanimation = FuncAnimation(fig, update, interval=10, save_count=100)\nplt.show()" ] } ], "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": "3.13.2" } }, "nbformat": 4, "nbformat_minor": 0 }