Which of the following will not make modifications the original dataframe?df.sort_values(by=['Year'])df=df.sort_values(by=['Year'])df.sort_values(by=['Year'],inplace=True)All are correct
Question
Which of the following will not make modifications the original dataframe?df.sort_values(by=['Year'])df=df.sort_values(by=['Year'])df.sort_values(by=['Year'],inplace=True)All are correct
Solution
The first option, df.sort_values(by=['Year']), will not make modifications to the original dataframe. This is because, by default, the sort_values() function in pandas returns a new dataframe and does not modify the original one.
The second option, df=df.sort_values(by=['Year']), will modify the original dataframe because it is reassigning the sorted dataframe back to df.
The third option, df.sort_values(by=['Year'],inplace=True), will also modify the original dataframe because inplace=True means that the operation is done in place and will modify the original dataframe.
So, the correct answer is df.sort_values(by=['Year']).
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