NumPy - Aggregation Functions
Which of the following best describes the effect of
np.cumsum() on a 2D numpy array without specifying an axis?Which of the following best describes the effect of np.cumsum() on a 2D numpy array without specifying an axis?
easy📝 Conceptual Q2 of 15
Step-by-Step Solution
Solution:
Step 1: Check default behavior of np.cumsum()
When axis is not specified, numpy flattens the array before operation.Step 2: Understand cumulative sum on flattened array
The function sums elements in the flattened order, returning a 1D array of cumulative sums.Final Answer:
Computes cumulative sum over the flattened array -> Option DQuick Check:
Default axis = flattened array cumulative sum [OK]
Quick Trick: No axis means flatten first, then sum [OK]
Common Mistakes:
- Assuming row-wise sum by default
- Expecting column-wise sum without axis
- Thinking it raises an error without axis
Master "Aggregation Functions" in NumPy
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