DataFrame df has three variables: Type, Year and Motor. Which of the following syntaxes can sort the DataFrame by Year first, Type second and Motor last? Group of answer choices df.sort_values(by = ["Year", "Type", "Motor"]) df.sort_values(by = ["Year", "Motor", "Type"]) df.sort_values(by = ["Year"]) df.sort_values(by = ["Year", "Motor"])

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

What will the following code do?df.sort_values(by='ColumnName', ascending=False, inplace=True)dfA.Sort the df pandas DataFrame in descending order.B.Sort the df pandas DataFrame in ascending order.C.Sort the df pandas DataFrame in descending order, and force the change to take place in memory.

Which of the following function is used to sort the data in data fram as per given column name?a.sort()b.order()c.sorted()d.ordered()Clear my choice

Which of the following methods can be used to sort an array in Python?Optionslength()sort()arrange()order()

The following data is connected to a Sort tool. The data type for the column is V_String.The Sort tool is configured to sort on the Value column in Ascending order, with Use Dictionary Order unchecked. What is the output of the Sort tool? A.B.C.