{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Example with Matplotlib\n\nThe mother of all matplotlib figures.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "# This code is a copy of the following example:\n# https://matplotlib.org/stable/gallery/showcase/anatomy.html\n\nimport numpy as np\nfrom pylatex import NoEscape\nfrom latexdocs import Document\nimport matplotlib.pyplot as plt\nfrom matplotlib.patches import Circle\nfrom matplotlib.patheffects import withStroke\nfrom matplotlib.ticker import AutoMinorLocator, MultipleLocator\n\ndoc = Document()\n\nroyal_blue = [0, 20/256, 82/256]\n\n# make the figure\n\nnp.random.seed(19680801)\n\nX = np.linspace(0.5, 3.5, 100)\nY1 = 3+np.cos(X)\nY2 = 1+np.cos(1 + X / 0.75) / 2\nY3 = np.random.uniform(Y1, Y2, len(X))\n\nfig = plt.figure(figsize=(7.5, 7.5))\nax = fig.add_axes([0.2, 0.17, 0.68, 0.7], aspect=1)\n\nax.xaxis.set_major_locator(MultipleLocator(1.000))\nax.xaxis.set_minor_locator(AutoMinorLocator(4))\nax.yaxis.set_major_locator(MultipleLocator(1.000))\nax.yaxis.set_minor_locator(AutoMinorLocator(4))\nax.xaxis.set_minor_formatter(\"{x:.2f}\")\n\nax.set_xlim(0, 4)\nax.set_ylim(0, 4)\n\nax.tick_params(which='major', width=1.0, length=10, labelsize=14)\nax.tick_params(which='minor', width=1.0, length=5, labelsize=10,\n               labelcolor='0.25')\n\nax.grid(linestyle=\"--\", linewidth=0.5, color='.25', zorder=-10)\n\nax.plot(X, Y1, c='C0', lw=2.5, label=\"Blue signal\", zorder=10)\nax.plot(X, Y2, c='C1', lw=2.5, label=\"Orange signal\")\nax.plot(X[::3], Y3[::3], linewidth=0, markersize=9,\n        marker='s', markerfacecolor='none', markeredgecolor='C4',\n        markeredgewidth=2.5)\n\nax.set_title(\"Anatomy of a figure\", fontsize=20, verticalalignment='bottom')\nax.set_xlabel(\"x Axis label\", fontsize=14)\nax.set_ylabel(\"y Axis label\", fontsize=14)\nax.legend(loc=\"upper right\", fontsize=14)\n\n\n# Annotate the figure\n\ndef annotate(x, y, text, code):\n    # Circle marker\n    c = Circle((x, y), radius=0.15, clip_on=False, zorder=10, linewidth=2.5,\n               edgecolor=royal_blue + [0.6], facecolor='none',\n               path_effects=[withStroke(linewidth=7, foreground='white')])\n    ax.add_artist(c)\n\n    # use path_effects as a background for the texts\n    # draw the path_effects and the colored text separately so that the\n    # path_effects cannot clip other texts\n    for path_effects in [[withStroke(linewidth=7, foreground='white')], []]:\n        color = 'white' if path_effects else royal_blue\n        ax.text(x, y-0.2, text, zorder=100,\n                ha='center', va='top', weight='bold', color=color,\n                style='italic', fontfamily='Courier New',\n                path_effects=path_effects)\n\n        color = 'white' if path_effects else 'black'\n        ax.text(x, y-0.33, code, zorder=100,\n                ha='center', va='top', weight='normal', color=color,\n                fontfamily='monospace', fontsize='medium',\n                path_effects=path_effects)\n\n\nannotate(3.5, -0.13, \"Minor tick label\", \"ax.xaxis.set_minor_formatter\")\nannotate(-0.03, 1.0, \"Major tick\", \"ax.yaxis.set_major_locator\")\nannotate(0.00, 3.75, \"Minor tick\", \"ax.yaxis.set_minor_locator\")\nannotate(-0.15, 3.00, \"Major tick label\", \"ax.yaxis.set_major_formatter\")\nannotate(1.68, -0.39, \"xlabel\", \"ax.set_xlabel\")\nannotate(-0.38, 1.67, \"ylabel\", \"ax.set_ylabel\")\nannotate(1.52, 4.15, \"Title\", \"ax.set_title\")\nannotate(1.75, 2.80, \"Line\", \"ax.plot\")\nannotate(2.25, 1.54, \"Markers\", \"ax.scatter\")\nannotate(3.00, 3.00, \"Grid\", \"ax.grid\")\nannotate(3.60, 3.58, \"Legend\", \"ax.legend\")\nannotate(2.5, 0.55, \"Axes\", \"fig.subplots\")\nannotate(4, 4.5, \"Figure\", \"plt.figure\")\nannotate(0.65, 0.01, \"x Axis\", \"ax.xaxis\")\nannotate(0, 0.36, \"y Axis\", \"ax.yaxis\")\nannotate(4.0, 0.7, \"Spine\", \"ax.spines\")\n\n# frame around figure\nfig.patch.set(linewidth=4, edgecolor='0.5')\n\nplt.savefig(\"mpl_anatomy.pdf\")\n\ncontent = r\"\"\"\n\\begin{figure}[htp] \\centering{\n\\includegraphics[scale=1.0]{mpl_anatomy.pdf}}\n\\caption{The anatomy of a matplotlib figure.}\n\\end{figure}  \n\"\"\"\ndoc.append(NoEscape(content))\n\ndoc.build().generate_pdf('matplotlib_examples', clean_tex=True, compiler='pdflatex')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import pypdfium2 as pdfium\nimport matplotlib.pyplot as plt\n\npdf = pdfium.PdfDocument(\"matplotlib_examples.pdf\")\npage = pdf.get_page(0)\npil_image = page.render_topil()\nplt.imshow(pil_image)"
      ]
    }
  ],
  "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": "3.8.13"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}