plot_ols-data_manipulations.ipynb

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   "source": [
    "diabetes.data.shape"
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   "cell_type": "code",
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     "data": {
      "text/plain": [
       "array([[ 0.03807591,  0.05068012,  0.06169621,  0.02187235, -0.0442235 ,\n",
       "        -0.03482076, -0.04340085, -0.00259226,  0.01990842, -0.01764613],\n",
       "       [-0.00188202, -0.04464164, -0.05147406, -0.02632783, -0.00844872,\n",
       "        -0.01916334,  0.07441156, -0.03949338, -0.06832974, -0.09220405]])"
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     "execution_count": 4,
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   "source": [
    "diabetes.data[:2]"
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   "cell_type": "code",
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   "source": [
    "# reduce the dimension to 1. take only the third feature\n",
    "\n",
    "diabetes_X = diabetes.data[:, np.newaxis, 2]"
   ]
  },
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   "cell_type": "code",
   "execution_count": 6,
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     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "diabetes_X.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 0.06169621],\n",
       "       [-0.05147406]])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "diabetes_X[:2]"
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