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Why is accessing features making use of `tolist` more quickly than accessing it directly in the pandas series? 2

Under is definitely the text of my first remedy. It's been useful to Many individuals, so I did not want to delete it.

Simply to include some timings (based upon Nico Schlömer's response that didn't consist of the operate offered in this answer):

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I prefer to inspire customers to read the source plus the documentation. The source code for slice objects and this logic is located in this article. Initially we ascertain if phase is destructive:

[0] * n will generate the list straight away though repeat can be employed to build the list lazily when it is actually initial accessed. Should you be working with seriously huge quantity of data along with your challenge isn't going to have to have variable size Order Here of list or multiple data types throughout the list it is healthier to employ numpy arrays.

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I will use figures listed here for the purpose of simplicity, but but I predominantly utilized it with strings, which worked very quick for my needs (200 nested lists with each about forty components).

You can even get the 1st three bins or the final two containers or all packing containers concerning 1 and 4. So, you may select any set of packing containers if you understand the beginning and ending. These positions are referred to as start and stop positions.

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