Fastest way to reset a numpy array to zero?

I have a large numpy array that I need to reset its values to 0 regularly. I tried these:

x = np.zeros((10**4, 10**6), dtype=np.float32)
%timeit x[:7000, :] = 0.0  # 4 seconds
%timeit x[:7000, :].fill(0.0)  # 4 seconds

On the other hand, creating a new array is much faster:

%timeit x = np.zeros((10**4, 10**6), dtype=np.float32)  # 8 microseconds

However, the new array has different memory address that significantly decreases the performance of subsequent copying.

Is there a way to reset the array values to 0 as fast as creating a new array?

Otherwise, is there a way to creating a new zeros array that keeps the same memory address?

source https://stackoverflow.com/questions/69367142/fastest-way-to-reset-a-numpy-array-to-zero

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