{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Spy Demos\n\nPlot the sparsity pattern of arrays.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\nimport numpy as np\n\n# Fixing random state for reproducibility\nnp.random.seed(19680801)\n\nfig, axs = plt.subplots(2, 2)\nax1 = axs[0, 0]\nax2 = axs[0, 1]\nax3 = axs[1, 0]\nax4 = axs[1, 1]\n\nx = np.random.randn(20, 20)\nx[5, :] = 0.\nx[:, 12] = 0.\n\nax1.spy(x, markersize=5)\nax2.spy(x, precision=0.1, markersize=5)\n\nax3.spy(x)\nax4.spy(x, precision=0.1)\n\nplt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        ".. admonition:: References\n\n   The use of the following functions, methods, classes and modules is shown\n   in this example:\n\n   - `matplotlib.axes.Axes.spy` / `matplotlib.pyplot.spy`\n\n"
      ]
    }
  ],
  "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
}