🔥Best Solution in Pandas || With explanation ||🔥
Explanation\ndef getDataframeSize(players: pd.DataFrame) -> List[int]:\nThis line defines a function called "getDataframeSize". It takes one argument players, w
# Explanation\n`def getDataframeSize(players: pd.DataFrame) -> List[int]:`\nThis line defines a function called "getDataframeSize". It takes one argument players, which is expected to be a pandas DataFrame. The function is annotated to indicate that players should be a DataFrame, and the return type of the function is specified as a list of integers.\n\n\n`row, col = players.shape`\nThis line retrieves the number of rows and columns in the DataFrame players using the .shape attribute of DataFrames in pandas. The .shape attribute returns a tuple containing the number of rows and columns, respectively. Here, we unpack this tuple into the variables "row" and "col".\n\n\n`return [row, col]`\nThis line returns a list containing the number of rows and columns of the DataFrame players. The list [row, col] represents the number of rows in the first element and the number of columns in the second element.\n\nOverall, this function takes a pandas DataFrame as input, retrieves the number of rows and columns in that DataFrame, and returns these values as a list of integers.\n\n\n# Complexity\n- Time complexity: Retrieving the shape of a DataFrame in pandas using the .shape attribute has a time complexity of $$O(1)$$. This is because pandas internally maintains metadata about the DataFrame, including its shape, so accessing this information is a constant-time operation.\n\n- Space complexity: Assigning the values of row and col from the shape tuple to variables has a time complexity of $$O(1)$$ as well, since it\'s just unpacking a tuple.\n\n# Code\n```\nimport pandas as pd\n\ndef getDataframeSize(players: pd.DataFrame) -> List[int]:\n    row, col = players.shape\n    return [row, col]\n```\n![honest-work-meme-cb0f0fb2227fb84b77b3c9a851ac09b095ab74d8-s1100-c50.jpg](https://assets.leetcode.com/users/images/ad4b08a1-7df0-48cb-9199-eccedebcab54_1710630307.5505457.jpeg)\n
['Python', 'Python3', 'Pandas']