midNumPy
What is axis in NumPy operations?
Updated May 17, 2026
Short answer
Axis defines the dimension along which operations are performed.
Deep explanation
Axis 0 refers to rows and axis 1 refers to columns in 2D arrays. It controls reduction behavior in aggregation functions.
Real-world example
Computing column-wise averages in datasets.
Common mistakes
- Confusing axis direction in multidimensional arrays.
Follow-up questions
- What does axis=-1 mean?
- How does axis affect reshape?