Easy
DataFrame players:
+-------------+--------+
| Column Name | Type |
+-------------+--------+
| player_id | int |
| name | object |
| age | int |
| position | object |
| ... | ... |
+-------------+--------+
Write a solution to calculate and display the number of rows and columns of players
.
Return the result as an array:
[number of rows, number of columns]
The result format is in the following example.
Example 1:
Input:
+-----------+----------+-----+-------------+--------------------+
| 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 |
+-----------+----------+-----+-------------+--------------------+
Output: [10, 5]
Explanation: This DataFrame contains 10 rows and 5 columns.
import pandas as pd
def getDataframeSize(players: pd.DataFrame) -> List[int]:
return[players.shape[0], players.shape[1]]