Web Reference: Sep 8, 2019 · Often, when numpy has seemingly duplicate functions, there often ends up being some sort of unique purpose for one or the other. I am trying to figure out if there are any situations where flatten() should be used instead of reshape(-1) Sep 15, 2025 · Master numpy array transformations. Learn the key differences between flatten, reshape, and ravel to optimize your Python data science code. Using reshape() we can change shape of a NumPy array. You need to make sure that during reshaping you are not changing the size of the array. In below exampletest is a 4×3 array, if you run test.size, it will show 12. So, in reshape I have given (6,2), that also makes size of reshaped array 12. If you give something like (6,3) or (4,2) in reshape, ...
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