Day 33 of 75 DataSci.ipynb

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    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'seaborn'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[1], line 2\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpyplot\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mplt\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mseaborn\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01msns\u001b[39;00m\n\u001b[0;32m      4\u001b[0m correlation_full_health \u001b[38;5;241m=\u001b[39m full_health_data\u001b[38;5;241m.\u001b[39mcorr()\n\u001b[0;32m      6\u001b[0m axis_corr \u001b[38;5;241m=\u001b[39m sns\u001b[38;5;241m.\u001b[39mheatmap(\n\u001b[0;32m      7\u001b[0m correlation_full_health,\n\u001b[0;32m      8\u001b[0m vmin\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m, vmax\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m, center\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m,\n\u001b[0;32m      9\u001b[0m cmap\u001b[38;5;241m=\u001b[39msns\u001b[38;5;241m.\u001b[39mdiverging_palette(\u001b[38;5;241m50\u001b[39m, \u001b[38;5;241m500\u001b[39m, n\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m500\u001b[39m),\n\u001b[0;32m     10\u001b[0m square\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[0;32m     11\u001b[0m )\n",
      "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'seaborn'"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "correlation_full_health = full_health_data.corr()\n",
    "\n",
    "axis_corr = sns.heatmap(\n",
    "correlation_full_health,\n",
    "vmin=-1, vmax=1, center=0,\n",
    "cmap=sns.diverging_palette(50, 500, n=500),\n",
    "square=True\n",
    ")\n",
    "\n",
    "plt.show()"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "id": "31b2cfd4",
   "metadata": {},
   "outputs": [],
   "source": []
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