pandas / numpy gives some of the most cryptic error messages ever. What the hell does this event mean? (doing a df.apply)pic.twitter.com/9STssWO8Ew
Lead Data Scientist, activist, survivor. Was actually assaulted by an actual right-wing terrorist. Opinions belong only to me, especially the bad ones. she/they
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pandas / numpy gives some of the most cryptic error messages ever. What the hell does this event mean? (doing a df.apply)pic.twitter.com/9STssWO8Ew
I don't have any idea where it's getting (62, 12) or (62, 15) from. All I want to do is take a row, and create a new list/tuple from it
In js: features = http://arr.map ((row) => [row['a'], row['b']]) I just don't know what this is in pandas.
I've been trying to figure it on in #machine-learning on the LGBTQ in Tech slack. I know what I want to do, I just don't know the pandas way
What are you trying to do? Take several fields from a row and get an array of tuples?
Yeah, I've a row which contains two array fields, and I want to return a new 'feature' field which combines the two.
Combine them as in append? add? dot-product?
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