{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# 2D and 3D Axes in same figure\n\nThis example shows a how to plot a 2D and a 3D plot on the same figure.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\nimport numpy as np\n\n\ndef f(t):\n    return np.cos(2*np.pi*t) * np.exp(-t)\n\n\n# Set up a figure twice as tall as it is wide\nfig = plt.figure(figsize=plt.figaspect(2.))\nfig.suptitle('A tale of 2 subplots')\n\n# First subplot\nax = fig.add_subplot(2, 1, 1)\n\nt1 = np.arange(0.0, 5.0, 0.1)\nt2 = np.arange(0.0, 5.0, 0.02)\nt3 = np.arange(0.0, 2.0, 0.01)\n\nax.plot(t1, f(t1), 'bo',\n        t2, f(t2), 'k--', markerfacecolor='green')\nax.grid(True)\nax.set_ylabel('Damped oscillation')\n\n# Second subplot\nax = fig.add_subplot(2, 1, 2, projection='3d')\n\nX = np.arange(-5, 5, 0.25)\nY = np.arange(-5, 5, 0.25)\nX, Y = np.meshgrid(X, Y)\nR = np.sqrt(X**2 + Y**2)\nZ = np.sin(R)\n\nsurf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1,\n                       linewidth=0, antialiased=False)\nax.set_zlim(-1, 1)\n\nplt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        ".. tags::\n   plot-type: 3D,\n   component: subplot,\n   level: beginner\n\n"
      ]
    }
  ],
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    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
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      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.14.6"
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