Simple and easy solution 
IntuitionApproachpivot Function: The pivot function in pandas is used to reshape data based on column values and get a new DataFrame out of it. pivot takes the
# Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\n\n# Approach\n<!-- Describe your approach to solving the problem. -->\npivot Function: The pivot function in pandas is used to reshape data based on column values and get a new DataFrame out of it. pivot takes the following arguments which we will utilize:\nindex: Determines the rows in the new DataFrame.\ncolumns: Determines the columns in the new DataFrame.\nvalues: Specifies the values to be used when the table is reshaped.\n# Complexity\n- Time complexity:\n<!-- Add your time complexity here, e.g. $$O(n)$$ -->\n\n- Space complexity:\n<!-- Add your space complexity here, e.g. $$O(n)$$ -->\n\n# Code\n```pythondata []\nimport pandas as pd\n\ndef pivotTable(weather: pd.DataFrame) -> pd.DataFrame:\n    df = weather.pivot(index=\'month\', columns = \'city\', values = \'temperature\')\n    return df\n```
['Pandas']