| comments | difficulty | edit_url | tags | |
|---|---|---|---|---|
true |
简单 |
|
DataFrame players:
+-------------+--------+
| Column Name | Type |
+-------------+--------+
| player_id | int |
| name | object |
| age | int |
| position | object |
| ... | ... |
+-------------+--------+
编写一个解决方案，计算并显示 players 的 行数和列数。
将结果返回为一个数组：
[number of rows, number of columns]
返回结果格式如下示例所示。
示例 1：
输入： +-----------+----------+-----+-------------+--------------------+ | player_id | name | age | position | team | +-----------+----------+-----+-------------+--------------------+ | 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 | +-----------+----------+-----+-------------+--------------------+ 输出： [10, 5] 解释： 这个 DataFrame 包含 10 行和 5 列。
import pandas as pd
def getDataframeSize(players: pd.DataFrame) -> List[int]:
return list(players.shape)