Update bq_dataframes_llm_output_schema.ipynb

Author: tswast

notebooks/generative_ai/bq_dataframes_llm_output_schema.ipynb

@@ -400,7 +400,7 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>city</th>\n",
-       "      <th>population_million</th>\n",
+       "      <th>population_in_millions</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -425,7 +425,7 @@
        "</div>[3 rows x 2 columns in total]"
       ],
       "text/plain": [
-       "       city  population_million\n",
+       "       city  population_in_millions\n",
        "0   Seattle                0.75\n",
        "1  New York               19.68\n",
        "2  Shanghai               26.32\n",
@@ -439,8 +439,8 @@
     }
    ],
    "source": [
-    "result = gemini.predict(df, prompt=[\"what is the population in millions of\", df[\"city\"]], output_schema={\"population_million\": \"float64\"})\n",
-    "result[[\"city\", \"population_million\"]]"
+    "result = gemini.predict(df, prompt=[\"what is the population in millions of\", df[\"city\"]], output_schema={\"population_in_millions\": \"float64\"})\n",
+    "result[[\"city\", \"population_in_millions\"]]"
    ]
   },
   {