Fastest way to grow a numpy numeric array

Question

Requirements:

• I need to grow an array arbitrarily large from data.
• I can guess the size (roughly 100-200) with no guarantees that the array will fit

Answer 1

np.append() copy all the data in the array every time, but list grow the capacity by a factor (1.125). list is fast, but memory usage is larger than array. You can use array module of the python standard library if you care about the memory.

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