001 Работа с numpy.ipynb

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    {
     "data": {
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hBvTRK3c/lN12SnpVzTcV9eGzM+hmt50N7ucfmmka796mGVcTvHaNnP68EWH/UNI1ZjbZzIZI+rmkTQ3o4wfMbHj2xYnMbLikWWq+qag3SVqY3V8o6bUG9vI9zTKNd94042rwa9fw6c/dve4/ku5S9zfyX0j6t0b0kNPX1ZI+zn4+bXRvkl5S99u679T9juhBSZdJ2irp8+x2TBP19t+Sdkn6RN3BGt+g3m5V90fDTyTtzH7uavRrl+irLq8bh8sCQXAEHRAEYQeCIOxAEIQdCIKwA0EQdiAIwg4E8f8CE2AlE26MxwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "data = np.loadtxt(\"http://video.ittensive.com/python-advanced/01.mnist.8.txt\", delimiter=\",\", skiprows=1, max_rows=1)\n",
    "data = np.reshape(data, (28, 28))\n",
    "plt.imshow(data, cmap='Greys')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "language_info": {
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