I have a df having a column df['tracker_name'] with such a data: pr:mfo|chaid_banner|cp:ep_hybe_mfo_ios|in:none|dt:28122024 pr:mfo|chaid_banner|cp:ep_hybe_mfo_ios|in:none|dt:28112024 pr:funds|ch:banner|in:none ch:banner|in:none pr:funds|chr|in:none pr:vklady|ch:banner|pr:app|in:none|dt:30112024 pr:brokers|ch:email|cp:start_invest_AKMM|in:none|dt:20012025 pr:brokers|ch:email|cp:start_invest_BCSD|in:none|dt:20012025 pr:vklady|chaid_banner|cp:ep_bidease_vklady_rustore|in:none|dt:20012025 pr:vklady|chaid_banner|cp:ep_bidease_vklady_rustore|in:none|dt:17012025 etc. I'm interested in checking duplicates with only part of the cell value, for example 15 simbols or multicondition like duplicated pr: and ch:. I want to see my answer like that: pr:mfo|chaid_banner|cp:ep_hybe_mfo_ios|in:none|dt:28122024 pr:mfo|chaid_banner|cp:ep_hybe_mfo_ios|in:none|dt:28112024 pr:brokers|ch:email|cp:start_invest_ AKMM|in:none|dt:20012025 pr:brokers|ch:email|cp:start_invest_ BCSD|in:none|dt:20012025 pr:vklady|chaid_banner|cp:ep_bidease_vklady_rustore|in:none|dt:20012025> pr:vklady|chaid_banner|cp:ep_bidease_vklady_rustore|in:none|dt:17012025 pr:funds|ch:banner|in:none ch:banner|in:none Please share your thoughts, is that possible without parsing? Continue reading...