Complete the code to set the 'Name' column as the index of the DataFrame.
df = df.[1]('Name')
The set_index method sets a column as the index of the DataFrame.
Complete the code to set the 'ID' column as index without keeping it as a column.
df = df.set_index('ID', [1]=True)
The drop=True argument removes the column from the DataFrame after setting it as index.
Fix the error in the code to set 'Date' as index inplace.
df.[1]('Date', inplace=True)
The set_index method supports the inplace=True argument to modify the DataFrame directly.
Fill both blanks to set 'User' as index and keep the column in the DataFrame.
df = df.set_index([1], [2]=False)
Use 'User' as the column name and drop=False to keep the column after setting it as index.
Fill all three blanks to set 'Email' as index, drop the column, and do it inplace.
df.[1]([2], drop=[3], inplace=True)
Use set_index method with column 'Email', drop=True to remove the column, and inplace=True to modify the DataFrame directly.