DataFrame Functions in Python

You can use the following basic syntax to combine rows with the same column values in a pandas DataFrame: #define how to…

You can use the following methods to drop all rows except specific ones from a pandas DataFrame: Method 1: Drop All Rows…

You can use the following methods to drop all columns except specific ones from a pandas DataFrame: Method 1: Use Double Brackets…

You can use the following basic syntax to create a tuple from two columns in a pandas DataFrame: df[‘new_column’] = list(zip(df.column1, df.column2))…

You can use the following methods to remove duplicates in a pandas DataFrame but keep the row that contains the max value…

You can use the following methods to find the max value across multiple columns in a pandas DataFrame: Method 1: Find Max…

You can use the following basic syntax to insert a row into a a specific index position in a pandas DataFrame: #insert…

You can use the following syntax to convert a column in a pandas DataFrame from an object to an integer: df[‘object_column’] =…

You can use the following methods to replace inf and -inf values with the max value in a pandas DataFrame: Method 1:…

You can use the following methods to count duplicates in a pandas DataFrame: Method 1: Count Duplicate Values in One Column len(df[‘my_column’])-len(df[‘my_column’].drop_duplicates())…