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        "\n# Image\n\nImage on a regular two-dimensional grid.\n\nThe x-axis and y-axis define a regular 2D grid. The grid is equally spaced in\nthis example but this is not necessarily the case.\n\n.. code::\n\n  @NX_class = \"NXroot\"\n  @default = \"scan1\"\n  scan1:\n    @NX_class = \"NXentry\"\n    @default = \"data\"\n    data:\n      @NX_class = \"NXdata\"\n      @axes = [\"y\", \"x\"]\n      @signal = \"z\"\n      x: NX_FLOAT64[16]\n      y: NX_FLOAT64[30]\n      z: NX_FLOAT64[30,16]\n\nExplanation:\n\n1. ``@axes`` has two values which corresponds to the signal rank of two.\n\n2. ``z`` is the default signal to be plotted versus ``x`` and ``y``.\n\n3. ``z`` has 30 rows and 16 columns.\n\n4. ``y`` spans the first dimension of ``z`` and ``x`` the second.\n"
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    {
      "cell_type": "code",
      "execution_count": null,
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      "source": [
        "# Data\nimport numpy as np\n\nx = np.linspace(-3, 3, 16)\ny = np.linspace(-3, 3, 30)\n\nxx, yy = np.meshgrid(x, y)\nz = (1 - xx / 2 + xx**5 + yy**3) * np.exp(-(xx**2) - yy**2)\n\n# Plot\nimport matplotlib.pyplot as plt  # noqa E402\n\nplt.style.use(\"_mpl-gallery-nogrid\")\n\nfig, ax = plt.subplots()\n\nax.imshow(z, extent=[x[0], x[-1], y[0], y[-1]], origin=\"lower\")\n\nplt.show()"
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