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by rogue7
581 days ago
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In this case `d` is the entire dataframe. It's just a way of "piping" the object without having to rename it. You are probably thinking about `df.apply(lambda row: ..., axis=1)` which operates on each row at a time and is indeed very slow since it's not vectorized. Here this is different and vectorized. |
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