np.argmin() and np.argmax() in NumPy - Cheat Sheet & Quick Revision

Recall & Review

beginner

What does np.argmin() do in numpy?

np.argmin() returns the index of the smallest value in a numpy array.

beginner

What is the difference between np.argmin() and np.min()?

np.argmin() gives the position (index) of the smallest value, while np.min() gives the smallest value itself.

beginner

How does np.argmax() help in data analysis?

np.argmax() finds the index of the largest value, helping to quickly locate maximum points in data.

intermediate

What happens if there are multiple minimum values in the array when using np.argmin()?

np.argmin() returns the index of the first occurrence of the minimum value.

intermediate

Can np.argmin() and np.argmax() be used on multi-dimensional arrays?

Yes, they can. You can specify an axis to find the index of min or max values along that axis.

What does np.argmax() return?

A Index of the smallest value in the array

B The largest value in the array

C Index of the largest value in the array

D The smallest value in the array

np.argmax() returns the index of the largest value, not the value itself.

If arr = np.array([3, 1, 2, 1]), what does np.argmin(arr) return?

A 1

B 3

C 0

D 2

The smallest value is 1, which appears first at index 1.

Which function gives the smallest value in a numpy array?

A np.min()

B np.argmax()

C np.argmin()

D np.max()

np.min() returns the smallest value itself, not the index.

How to find the index of the maximum value along columns in a 2D array?

A np.argmax(arr, axis=1)

B np.min(arr, axis=1)

C np.argmin(arr, axis=0)

D np.argmax(arr, axis=0)

Axis 0 means along columns, so np.argmax(arr, axis=0) finds max indices per column.

If multiple max values exist, which index does np.argmax() return?

A Last occurrence index

B First occurrence index

C Random occurrence index

D Sum of all indices

np.argmax() returns the index of the first maximum value found.

Explain how np.argmin() and np.argmax() work and give a simple example.

Think about finding positions of smallest and largest values.

Describe how to use np.argmin() or np.argmax() on a 2D array to find indices along a specific axis.

Axis 0 is columns, axis 1 is rows.