To flatten just one degree and when Each individual with the things is alone iterable You may as well use iteration_utilities.flatten which alone is simply a skinny wrapper around itertools.chain.from_iterable:
I uncover it a lot easier to remember how it works, after which you can I can work out any specific get started/stop/stage blend.
149 @TimDierks: I'm unsure "this calls for you to understand Python syntax" is surely an argument towards utilizing a presented procedure in Python. Guaranteed, advanced utilization could confuse, nevertheless the "splat" operator is mostly valuable in many situation, and this isn't employing it in a particularly obscure way; rejecting all language features that aren't automatically evident to starting buyers implies you happen to be tying a single hand guiding your back again.
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The truth that list slices produce a copy is actually a attribute of lists on their own. When you are slicing Superior objects like a Pandas DataFrame, it may well return a perspective on the initial, instead of a duplicate.
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You can also make any of such favourable or destructive figures. The that means on the constructive figures is straightforward, but for destructive figures, similar to indexes in Python, you rely backwards within the stop for the beginning
Therefore the posture for that vacant slice assignment is the logical extension from the positions for your non-empty slice assignments.
Following applying it a little bit I realise that The best description is that it's exactly the same because the arguments in a very for loop...
Then the destructive indexing just desires you to add the size with the string towards the negative indices to are aware of it.
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