What would be the answer of this cummulative summation in NumPy?
arr = np.array([1,2,3])
print(np.cumsum(arr))

Question

BlackTom AI · Accepted Answer

The question asks about the output of a NumPy cumulative sum operation on the array [1, 2, 3].
Option 1: "[3 6 9]" would correspond to summing in a way that triples each element or accumulates beyond the actual stepwise totals; this is not how cumsum behaves for this input.
Option 2: "[6]" would imply a single total sum rather than a per-element running total, which is not what cumsum returns for a 1D array.
Option 3: "[1 3 6]" aligns with the definition of cumulative sum: the first element is 1, the second element is 1+2 = 3, and the third element is 1+2+3 = 6. When NumPy prints a 1D array, it shows the elements separated by spaces inside brackets, which matches this representation.
Option 4: "6" would be the total sum of the entire array, not a per-position running total; cumsum does not collapse the result to a single value, so this is incorrect for a 1D input.
In short, the only option that mirrors the stepwise accumulation [1, 3, 6] is the third choice, considering how cumulative sums are computed and displayed in NumPy.

What would be the answer of this cummulative summation in NumPy? arr = np.array([1,2,3]) print(np.cumsum(arr))

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