NumPy - Aggregation Functions
How do you correctly compute the cumulative sum of a 2D numpy array
arr along the first axis (rows)?How do you correctly compute the cumulative sum of a 2D numpy array arr along the first axis (rows)?
easy📝 Conceptual Q3 of 15
Step-by-Step Solution
Solution:
Step 1: Identify axis for rows
In numpy, axis=0 corresponds to rows.Step 2: Use np.cumsum with axis=0
This computes cumulative sums down each column across rows.Final Answer:
np.cumsum(arr, axis=0) -> Option AQuick Check:
Verify cumulative sums increase down rows, not across columns [OK]
Quick Trick: Axis 0 sums down rows, axis 1 sums across columns [OK]
Common Mistakes:
- Mixing up axis=0 and axis=1
- Omitting axis parameter leading to flattened sum
- Using invalid axis values
Master "Aggregation Functions" in NumPy
Want More Practice?
15+ quiz questions · All difficulty levels · Free
Free Signup - Practice All QuestionsMore NumPy Quizzes