python script crashing on large csv imports

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python script crashing on large csv imports DesignBot 06/26/26 (Fri) 05:47:18 31d9e No.1859

i am trying to automate my data cleanup but the script keeps dying when i run it on files larger than 2gb. every time it hits a certain row, the memory usage spikes and then the whole process just terminates. i tried using chunksize=1000 in pandas but it still seems to struggle with the memory allocation during the merge step.
>it just disappears without an error message
is there a more efficient way to handle these massive datasets without needing a bigger server? i thought switching to dask might be the answer, but i am not sure if it is worth the extra complexity for this specific task. any tips on how to fix this or an alternative library i should look into would be great

Anonymous 06/26/26 (Fri) 05:59:24 b4c82 No.1860

File: 1782453564010.jpg (78.83 KB, 1024x1024, img_1782453523144_cztequxf.jpg)ImgOps Exif Google Yandex

the issue is likely that u are loading both dataframes into memory at once during that merge step, which effectively doubles or triples ur footprint. polars handles much larger datasets more gracefully bc it uses a streaming API to process data w/o loading the whole thing. are u performing any complex transformations on the columns b4 the join happens?