panbingkun commented on code in PR #44049:
URL: https://github.com/apache/spark/pull/44049#discussion_r1408660391
##########
python/docs/source/getting_started/quickstart_df.ipynb:
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@@ -424,76 +424,22 @@
"metadata": {},
"outputs": [
{
- "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>a</th>\n",
- " <th>b</th>\n",
- " <th>c</th>\n",
- " <th>d</th>\n",
- " <th>e</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2.0</td>\n",
- " <td>string1</td>\n",
- " <td>2000-01-01</td>\n",
- " <td>2000-01-01 12:00:00</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>3.0</td>\n",
- " <td>string2</td>\n",
- " <td>2000-02-01</td>\n",
- " <td>2000-01-02 12:00:00</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>4.0</td>\n",
- " <td>string3</td>\n",
- " <td>2000-03-01</td>\n",
- " <td>2000-01-03 12:00:00</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " a b c d e\n",
- "0 1 2.0 string1 2000-01-01 2000-01-01 12:00:00\n",
- "1 2 3.0 string2 2000-02-01 2000-01-02 12:00:00\n",
- "2 3 4.0 string3 2000-03-01 2000-01-03 12:00:00"
- ]
- },
- "execution_count": 15,
- "metadata": {},
- "output_type": "execute_result"
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "+----+-----+-----+---------+------------+---------------------+\n",
+ "| | a | b | c | d | e |\n",
+ "|----+-----+-----+---------+------------+---------------------|\n",
+ "| 0 | 1 | 2 | string1 | 2000-01-01 | 2000-01-01 12:00:00 |\n",
+ "| 1 | 2 | 3 | string2 | 2000-02-01 | 2000-01-02 12:00:00 |\n",
+ "| 2 | 4 | 5 | string3 | 2000-03-01 | 2000-01-03 12:00:00 |\n",
+ "+----+-----+-----+---------+------------+---------------------+\n"
+ ]
}
],
"source": [
- "df.toPandas()"
+ "from tabulate import tabulate\n",
+ "print(tabulate(df.toPandas(), headers = 'keys', tablefmt = 'psql'))"
Review Comment:
Oh, I understand what you mean.
For this document, I have modified the style to maintain using
`spark.sql.repl.eagerEval.enabled` purpose to show a pretty table format
without applying any other operations in the notebook.
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