{
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    {
      "cell_type": "code",
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        "%matplotlib inline"
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      "source": [
        "\n# Gramian Angular Field\n\n\nThis example shows how you can transform a time series into a Gramian Angular\nField using :class:`pyts.image.GramianAngularField`. Two methods are\navailable: Gramian Angular Summation Field and Gramian Angular Difference\nField.\n"
      ]
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    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
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      "source": [
        "import matplotlib.pyplot as plt\nfrom mpl_toolkits.axes_grid1 import ImageGrid\nfrom pyts.image import GramianAngularField\nfrom pyts.datasets import load_gunpoint\n\n# Parameters\nX, _, _, _ = load_gunpoint(return_X_y=True)\n\n# Transform the time series into Gramian Angular Fields\ngasf = GramianAngularField(image_size=24, method='summation')\nX_gasf = gasf.fit_transform(X)\ngadf = GramianAngularField(image_size=24, method='difference')\nX_gadf = gadf.fit_transform(X)\n\n# Show the images for the first time series\nfig = plt.figure(figsize=(12, 7))\ngrid = ImageGrid(fig, 111,\n                 nrows_ncols=(1, 2),\n                 axes_pad=0.15,\n                 share_all=True,\n                 cbar_location=\"right\",\n                 cbar_mode=\"single\",\n                 cbar_size=\"7%\",\n                 cbar_pad=0.3,\n                 )\nimages = [X_gasf[0], X_gadf[0]]\ntitles = ['Gramian Angular Summation Field',\n          'Gramian Angular Difference Field']\nfor image, title, ax in zip(images, titles, grid):\n    im = ax.imshow(image, cmap='rainbow', origin='lower')\n    ax.set_title(title, fontdict={'fontsize': 16})\nax.cax.colorbar(im)\nax.cax.toggle_label(True)\n\nplt.suptitle('Gramian Angular Fields', y=0.92, fontsize=20)\nplt.show()"
      ]
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