Add 处理缺失值

机器学习竞赛实战_优胜解决方案/建筑能源利用率预测/建筑能源利用率预测.ipynb

@@ -1903,15 +1903,42 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Your selected dataframe has 60 columns.\n",
+      "There are 46 columns that have missing values.\n",
+      "We will remove 11 columns.\n"
+     ]
+    }
+   ],
    "source": [
-    "# Get the columns with > 50% m\n",
+    "# Get the columns with > 50% missing\n",
     "missing_df = missing_values_table(data);\n",
     "missing_columns = list(missing_df[missing_df['% of Total Values']> 50].index)\n",
     "print('We will remove %d columns.'% len(missing_columns))"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Drop the columns\n",
+    "data = data.drop(columns = list(missing_columns))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {