There is a Pandas dataframe user_id name date hotel profit_per_room how_find_us resting_time rating 0 1 Ksenia Rodionova 2021-07-01 Alpina 1639.000000 by_recommendation 48 3.0 1 2 Ulyana Selezneva 2021-07-01 AquaMania 930.000000 by_airbnb.com 97 4.0 2 3 Konstantin Prokhorov 2021-07-01 Breeze 1057.720000 agg_trivago.com 173 4.0 3 4 Petrov Vladimir 2021-07-01 Moreon 1403.000000 agg_onlinetours.ru 229 4.0 4 5 Arina Selivanova 2021-07-01 Alpina 1639.000000 agg_sutochno.ru 63 4.0 Filter this dataframe and leave only the rows where the values in the name column are duplicated. Sort the name values in ascending order

import pandas as pd

df = pd.DataFrame([
    [1, "Ksenia Rodionova", "2021-07-01", "Alpina", 1639.000000, "by_recommendation", 48, 3.0],
    [2, "Ulyana Selezneva", "2021-07-01", "AquaMania", 930.000000, "by_airbnb.com", 97, 4.0],
    [3, "Konstantin Prokhorov", "2021-07-01", "Breeze", 1057.720000, "agg_trivago.com", 173, 4.0],
    [4, "Petrov Vladimir", "2021-07-01", "Moreon", 1403.000000, "agg_onlinetours.ru", 229, 4.0],
    [5, "Arina Selivanova", "2021-07-01", "Alpina", 1639.000000, "agg_sutochno.ru", 63, 4.0],
    [6