Data Frame

Author: soumyadip007

Pandas.ipynb

@@ -637,31 +637,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 71,
    "metadata": {},
    "outputs": [],
    "source": [
-    "new='A B C D E'.split()"
+    "newI='A B C'.split()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 72,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "['A', 'B', 'C', 'D', 'E']"
+       "['A', 'B', 'C']"
       ]
      },
-     "execution_count": 57,
+     "execution_count": 72,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "new"
+    "newI"
    ]
   },
   {
@@ -736,24 +736,85 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['S']=newI"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
    "metadata": {},
    "outputs": [
     {
-     "ename": "KeyError",
-     "evalue": "\"None of ['New_Ind'] are in the columns\"",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
-      "\u001b[1;32m<ipython-input-61-03d86a69ace3>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_index\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'New_Ind'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36mset_index\u001b[1;34m(self, keys, drop, append, inplace, verify_integrity)\u001b[0m\n\u001b[0;32m   4394\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   4395\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mmissing\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 4396\u001b[1;33m             \u001b[1;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"None of {} are in the columns\"\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmissing\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   4397\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   4398\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0minplace\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;31mKeyError\u001b[0m: \"None of ['New_Ind'] are in the columns\""
-     ]
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>X</th>\n",
+       "      <th>Y</th>\n",
+       "      <th>Z</th>\n",
+       "      <th>S</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>A</td>\n",
+       "      <td>0.925094</td>\n",
+       "      <td>0.964265</td>\n",
+       "      <td>0.463295</td>\n",
+       "      <td>A</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>B</td>\n",
+       "      <td>0.806830</td>\n",
+       "      <td>0.853177</td>\n",
+       "      <td>0.381970</td>\n",
+       "      <td>B</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>C</td>\n",
+       "      <td>0.369193</td>\n",
+       "      <td>0.592646</td>\n",
+       "      <td>0.820605</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          X         Y         Z  S\n",
+       "A  0.925094  0.964265  0.463295  A\n",
+       "B  0.806830  0.853177  0.381970  B\n",
+       "C  0.369193  0.592646  0.820605  C"
+      ]
+     },
+     "execution_count": 74,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "df.set_index('New_Ind')"
+    "df"
    ]
   }
  ],