2878. Get the Size of a DataFrame
Intuition\nThe task appears to involve finding the size of a DataFrame, which likely means determining the number of rows and columns it contains. This can be a
# Intuition\nThe task appears to involve finding the size of a DataFrame, which likely means determining the number of rows and columns it contains. This can be accomplished using Pandas DataFrame attributes.\n# Approach\nTo find the number of rows and columns in the DataFrame, we can use the axes attribute of the DataFrame object. The axes[0] gives the row axis and axes[1] gives the column axis. We\'ll simply take the length of these axes to find the number of rows and columns.\n\n\n# Complexity\n- ## Time complexity:\nAccessing the axes attribute of the DataFrame takes constant time.\nFinding the length of the axes requires traversing the axes once, so it\'s linear in the number of axes.\nOverall time complexity is \nO(n), where n is the maximum of the number of rows and columns in the DataFrame.\n\n- ## Space complexity:\nWe are only storing the lengths of rows and columns, so the space complexity is constant, i.e., \nO(1).\n\n# Code : \n\nThis function getDataframeSize takes a Pandas DataFrame players as input and returns a list containing the number of rows and columns in the DataFrame.\n\n```.py\nimport pandas as pd\n\ndef getDataframeSize(players: pd.DataFrame) -> List[int]:\n    rows = len(players.axes[0])\n    cols = len(players.axes[1])\n    return [rows,cols]\n```
['Pandas']