Statistical test to compare means of non-independent samples

My dataframe seems like, hundreds rows long:

         ID         UTC_datetime       vedba  Localisation
1    182195  2020-02-18 12:57:22   0.26690350       Site A
2    182195  2020-04-12 13:22:53   0.15792326       Site A
3    182199  2020-07-24 19:46:29   0.28800095       Site A
4    182195  2020-10-03 22:58:53   0.06376849       Site B
5    182220  2020-12-31 04:25:24   0.88096304       Site B
6    182123  2021-02-18 10:18:59   0.22198841       Site A

I would like to find a statistic test to compare means of vedba values for both localisations, knowing that samples depends of Individus ID and time. I tried Wilcoxon or Friedman test but both are not possible for those data. Hope someone could help me ! Thanks !