{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n# Animated line plot\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\nimport matplotlib.animation as animation\n\nfig, ax = plt.subplots()\n\nx = np.arange(0, 2*np.pi, 0.01)\nline, = ax.plot(x, np.sin(x))\n\n\ndef animate(i):\n line.set_ydata(np.sin(x + i / 50)) # update the data.\n return line,\n\n\nani = animation.FuncAnimation(\n fig, animate, interval=20, blit=True, save_count=50)\n\n# To save the animation, use e.g.\n#\n# ani.save(\"movie.mp4\")\n#\n# or\n#\n# writer = animation.FFMpegWriter(\n# fps=15, metadata=dict(artist='Me'), bitrate=1800)\n# ani.save(\"movie.mp4\", writer=writer)\n\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 }