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"title" : "Get the Size of a DataFrame" ,
"titleSlug" : "get-the-size-of-a-dataframe" ,
"content" : "<pre>\nDataFrame <code>players:</code>\n+-------------+--------+\n| Column Name | Type |\n+-------------+--------+\n| player_id | int |\n| name | object |\n| age | int |\n| position | object |\n| ... | ... |\n+-------------+--------+\n</pre>\n\n<p>Write a solution to calculate and display the <strong>number of rows and columns</strong> of <code>players</code>.</p>\n\n<p>Return the result as an array:</p>\n\n<p><code>[number of rows, number of columns]</code></p>\n\n<p>The result format is in the following example.</p>\n\n<p> </p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:\n</strong>+-----------+----------+-----+-------------+--------------------+\n| player_id | name | age | position | team |\n+-----------+----------+-----+-------------+--------------------+\n| 846 | Mason | 21 | Forward | RealMadrid |\n| 749 | Riley | 30 | Winger | Barcelona |\n| 155 | Bob | 28 | Striker | ManchesterUnited |\n| 583 | Isabella | 32 | Goalkeeper | Liverpool |\n| 388 | Zachary | 24 | Midfielder | BayernMunich |\n| 883 | Ava | 23 | Defender | Chelsea |\n| 355 | Violet | 18 | Striker | Juventus |\n| 247 | Thomas | 27 | Striker | ParisSaint-Germain |\n| 761 | Jack | 33 | Midfielder | ManchesterCity |\n| 642 | Charlie | 36 | Center-back | Arsenal |\n+-----------+----------+-----+-------------+--------------------+<strong>\nOutput:\n</strong>[10, 5]\n<strong>Explanation:</strong>\nThis DataFrame contains 10 rows and 5 columns.\n</pre>\n" ,
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"translatedTitle" : "获取 DataFrame 的大小" ,
"translatedContent" : "<pre>\nDataFrame <code>players:</code>\n+-------------+--------+\n| Column Name | Type |\n+-------------+--------+\n| player_id | int |\n| name | object |\n| age | int |\n| position | object |\n| ... | ... |\n+-------------+--------+\n</pre>\n\n<p>编写一个解决方案，计算并显示 <code>players</code> 的 <strong>行数和列数</strong>。</p>\n\n<p>将结果返回为一个数组：</p>\n\n<p><code>[number of rows, number of columns]</code></p>\n\n<p>返回结果格式如下示例所示。</p>\n\n<p> </p>\n\n<p><b>示例 1： ： ,
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"code" : "import pandas as pd\n\ndef getDataframeSize(players: pd.DataFrame) -> List[int]:\n " ,
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"sampleTestCase" : "{\"headers\":{\"players\":[\"player_id\",\"name\",\"age\",\"position\",\"team\"]},\"rows\":{\"players\":[[846,\"Mason\",21,\"Forward\",\"RealMadrid\"],[749,\"Riley\",30,\"Winger\",\"Barcelona\"],[155,\"Bob\",28,\"Striker\",\"ManchesterUnited\"],[583,\"Isabella\",32,\"Goalkeeper\",\"Liverpool\"],[388,\"Zachary\",24,\"Midfielder\",\"BayernMunich\"],[883,\"Ava\",23,\"Defender\",\"Chelsea\"],[355,\"Violet\",18,\"Striker\",\"Juventus\"],[247,\"Thomas\",27,\"Striker\",\"ParisSaint-Germain\"],[761,\"Jack\",33,\"Midfielder\",\"ManchesterCity\"],[642,\"Charlie\",36,\"Center-back\",\"Arsenal\"]]}}" ,
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