Problem

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.

Examples

Example 1

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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.

## Solution

### Method 1 – DataFrame Shape Property

#### Intuition

The shape property of a pandas DataFrame returns a tuple with the number of rows and columns. This is the most direct and efficient way to get the size of a DataFrame.

#### Approach

1. Use the `.shape` attribute of the DataFrame to get a tuple `(rows, columns)`.
2. Convert the tuple to a list as required by the problem statement.
3. Return the list.

#### Code



    

         
         
         
        
            
            
        
            
            
                 
                 
                
            
        
            
            
        
    


    

        
         
        
        
         
         
        

             
            
             
            
                
            
                 
                     
                
            
                 
                     
                
            
                 
                     
                
            
            
            
            




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class Solution:
    def getDataframeSize(self, players) -> list[int]:
        return list(players.shape)





        

        
        
         
        
        
    





#### Complexity

- ⏰ Time complexity: `O(1)` — Accessing the shape property is a constant time operation.
- 🧺 Space complexity: `O(1)` — Only a fixed-size list is returned.