Hi everyone! Total Numpy newbie here. I'd like to create an array with a million numbers, that has a sine wave with exponential decay on the amplitude.
In other words, I want the value of each cell n to be sin(n) * 2 ** (-n * factor). What would be the most efficient way to do that? Someone suggested I do something like this: y = np.sin(x) * np.exp(newfactor * x) But this would create 2 arrays, wouldn't it? Isn't that wasteful? Does Numpy provide an efficient way of doing that without creating a redundant array? Thanks for your help, Ram Rachum.
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