Why am I getting SettingWithCopyWarning in Pandas?

Naomi Teng
Updated on July 16, 2026 in

Hi everyone,

I’m new to working with Python and Pandas at my job, and I’ve started seeing the SettingWithCopyWarning while cleaning data. The confusing part is that my code still runs, so I’m not sure whether this is something I can ignore or if it’s actually causing problems.

I’ve read a few explanations online, but I’m still struggling to understand what this warning really means. Is it telling me that I’m modifying a copy instead of the original DataFrame? If so, what’s the recommended way to avoid this warning and make sure my changes are applied correctly?

I’d appreciate a beginner-friendly explanation, especially if someone can explain why this warning exists and the best practices for handling it in real projects. 

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on July 23, 2026

I ran into this a while back too. Most of the time, it happens when you’re modifying a slice of a DataFrame instead of the original DataFrame, so pandas isn’t sure whether you’re changing the original data or just a copy. Using .loc[] for assignments usually fixes it. If you’re intentionally working with a subset, creating an explicit .copy() before making changes also helps avoid the warning. It’s one of those pandas messages that’s worth understanding early because it can prevent some tricky bugs later.

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