In Pandas, which method is used to sort a DataFrame by the values in one or more columns in ascending or descending order?

apply()
pivot_table()
sort_values()
filter()

The correct answer is C. sort_values().

The sort_values() method is used to sort a DataFrame by the values in one or more columns in ascending or descending order. The method takes two arguments: the column(s) to sort by and the order (ascending or descending).

For example, to sort a DataFrame by the values in the A column in ascending order, you would use the following code:

df.sort_values('A', ascending=True)

To sort a DataFrame by the values in the A and B columns in descending order, you would use the following code:

df.sort_values(['A', 'B'], ascending=False)

The apply() method is used to apply a function to each row of a DataFrame. The pivot_table() method is used to create a pivot table from a DataFrame. The filter() method is used to filter rows from a DataFrame based on a condition.

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