✅Easy And Simple Solution With EXPLANATION✅
\n\n### Explanation\n\nThis code defines a function named getDataframeSize that takes a pandas DataFrame as input and returns its dimensions (number of rows and
\n\n### Explanation\n\nThis code defines a function named `getDataframeSize` that takes a pandas DataFrame as input and returns its dimensions (number of rows and columns) as a list.\n\n#### Step-by-step Explanation:\n\n1. **Import pandas**:\n    ```python\n    import pandas as pd\n    ```\n    - This line imports the pandas library, which is used for data manipulation and analysis in Python.\n\n2. **Define the function**:\n    ```python\n    def getDataframeSize(players: pd.DataFrame) -> List[int]:\n    ```\n    - The function `getDataframeSize` is defined with one parameter `players`. The type hint suggests that `players` should be a pandas DataFrame.\n    - The function returns a list of integers, as indicated by the type hint `-> List[int]`.\n\n3. **Get the shape of the DataFrame**:\n    ```python\n    [r, c] = players.shape\n    ```\n    - The `shape` attribute of the DataFrame `players` is accessed to get its dimensions.\n    - `players.shape` returns a tuple containing the number of rows and columns in the DataFrame.\n    - The tuple is unpacked into two variables: `r` for the number of rows and `c` for the number of columns.\n\n4. **Return the dimensions**:\n    ```python\n    return [r, c]\n    ```\n    - The function returns a list containing the number of rows `r` and the number of columns `c`.\n\n\n#### Summary:\n\n- The function takes a pandas DataFrame and returns its dimensions as a list.\n- The `shape` attribute of the DataFrame is used to get the number of rows and columns.\n- The result is returned as a list containing the number of rows and columns.\n\n\n\n---\n\n# Code\n```\nimport pandas as pd\n\ndef getDataframeSize(players: pd.DataFrame) -> List[int]:\n    [r,c] = players.shape\n    return [r,c]\n```
['Pandas']