020-indexing-exercise.ipynb

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    "%matplotlib inline\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt"
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   "source": [
    "# Exercise: Indexing and Slicing\n",
    "\n",
    "Use `imread(filename)` to load an image file:"
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    "a = plt.imread(\"pencils.jpeg\")"
   ]
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    "a.shape, a.dtype"
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    "plt.imshow(a);"
   ]
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   "source": [
    "## Part 0: show only this part of the image\n",
    "![partial image](pencils-part.png)\n",
    "\n"
   ]
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    "## Part 1: Show the image flipped vertically"
   ]
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   "source": [
    "## Part 2: Show the image flipped horizontally"
   ]
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  },
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   "source": [
    "## Part 3: Show channels r,g and b \n"
   ]
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    "* (Bonus 1: Do the same, using a loop. Use `plt.show()` to show the current figure and start a new figure. Use `plt.title()` to show a title )\n",
    "* (Bonus 2: Use `imshow(..., vmin=..., vmax=...)` to disable normalization and stretch the scale.)"
   ]
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   "source": [
    "## Part 4: Show the image with channels R and B swapped."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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