If you have empty strings and 'sh' and want to keep the sh in case of duplicates, you can sort by all columns, which will move empty strings to the top, then drop_duplicates keeping the last value: df.sort_values(by=).drop_duplicates(0, keep='last')Īlternatively, to always prioritize "sh": df.sort_values(by=2, key=lambda x: x='sh'). 6437fd5 Added better error messages, more test coverage, new example. Is there any other way to perform the uninstall? import pandas as pd CommandCleanup is a bot that can delete a variety of different messages, wether it be messages that begin with the most common command symbols, messages by a certain user or messages sent by bots, there is a command/parameter that'll help clean up your chats regardless of what's posted. The example below works on a small list, but if the list is large, then this path does not delete correctly. Prunes Rythm's messages and commands up to 100 messages /queue: Shows all currently enqueued songs /remove: Removes specific songs from the queue /removedupes: Removes duplicate songs from the queue /replay: Resets the progress of the current playing song /resume: Resumes the current playing track /rewind: Rewinds the current playing track by a. Step 3: You get a window to confirm the deletion and just click Delete. Step 2: Hover over the message and you can see the three-dot icon. I want to remove duplicate lines where there is no value 'sh'. Step 1: Open the text channel that includes the message to delete.
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