{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# scatter(x, y)\nA scatter plot of y vs. x with varying marker size and/or color.\n\nSee `~matplotlib.axes.Axes.scatter`.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\nimport numpy as np\n\nplt.style.use('_mpl-gallery')\n\n# make the data\nnp.random.seed(3)\nx = 4 + np.random.normal(0, 2, 24)\ny = 4 + np.random.normal(0, 2, len(x))\n# size and color:\nsizes = np.random.uniform(15, 80, len(x))\ncolors = np.random.uniform(15, 80, len(x))\n\n# plot\nfig, ax = plt.subplots()\n\nax.scatter(x, y, s=sizes, c=colors, vmin=0, vmax=100)\n\nax.set(xlim=(0, 8), xticks=np.arange(1, 8),\n       ylim=(0, 8), yticks=np.arange(1, 8))\n\nplt.show()"
      ]
    }
  ],
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    "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": "3.13.5"
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