{
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    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Saving a plot\n\nTo save a plot, simply use the `save_path` kwarg, and specify where you want\nthe image to be saved, including the file extension (e.g. pdf)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "# sphinx_gallery_thumbnail_path = '_static/thumbnails/sphx_glr_save_image_thumb.png'\n\n# Code source: Andrew Heusser\n# License: MIT\n\n# import\nimport hypertools as hyp\nimport numpy as np\n\n# load example data\ngeo = hyp.load('weights_sample')\n\n# plot\ngeo.plot(fmt='o', save_path='test-image.pdf')"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
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      "name": "python3"
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      "pygments_lexer": "ipython3",
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