I am using the pandas vectorized str.split() method to extract the first element returned from a split on “~”. I also have also tried using df.apply() with a lambda and str.split() to produce equivalent results. When using %timeit, I’m finding that df.apply() is performing faster than the vectorized version.

I am using the pandas vectorized str.split() method to extract the first element returned from a split on “~”. I also have also tried using df.apply() with a lambda and str.split() to produce equivalent results. When using %timeit, I’m finding that df.apply() is performing faster than the vectorized version.

I am using the pandas vectorized str.split() method to extract the first element returned from a split on “~”. I also have also tried using df.apply() with a lambda and str.split() to produce equivalent results. When using %timeit, I’m finding that df.apply() is performing faster than the vectorized version.