Science Memes

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Pandas (mander.xyz)

submitted 1 month ago by [email protected] to c/[email protected]

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[–] [email protected] 42 points 1 month ago (21 children)

Is 600 MB a lot for pandas? Of course, CSV isn't really optimal but I would've sworn pandas happily works with gigabytes of data.

[–] [email protected] 10 points 1 month ago (1 children)

It really depends on the machine that is running the code. Pandas will always have the entire thing loaded in memory, and while 600Mb is not a concern for our modern laptops running a single analysis at a time, it can get really messy if the person is not thinking about hardware limitations

[–] naught 8 points 1 month ago (1 children)

Pandas supports lazy loading and can read files in chunks. Hell, even regular ole Python doesn't need to read the whole file at once with csv

[–] [email protected] 3 points 1 month ago* (last edited 1 month ago)

I didn't know about lazy loading, that's cool!

Then I guess that the meme doesn't apply anymore. Though I will state that (from my anedoctal experience) people that can use Panda's most advanced features* are also comfortable with other data processing frameworks (usually more suitable to large datasets**)

*Anything beyond the standard groupby - apply can be considered advanced, from the placrs I've been

**I feel the urge to note that 60Mb isn' lt a large dataset by any means, but I believe that's beyond the point

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