np.split() for dividing arrays in NumPy - Cheat Sheet & Quick Revision

Recall & Review

beginner

What does np.split() do in NumPy?

np.split() divides a NumPy array into multiple smaller arrays based on specified indices or sections.

beginner

How do you split a 1D array into 3 equal parts using np.split()?

You provide the array and the number of splits. For example, np.split(arr, 3) splits into 3 equal parts if the array length is divisible by 3.

intermediate

What happens if the array size is not divisible by the number of splits in np.split()?

np.split() will raise an error because it expects equal-sized splits unless you use np.array_split() which allows uneven splits.

intermediate

How do you split a 2D array vertically using np.split()?

Use the axis=1 argument to split columns. For example, np.split(arr, 2, axis=1) splits the array into two parts along columns.

intermediate

What is the difference between np.split() and np.array_split()?

np.split() requires equal-sized splits and raises an error otherwise. np.array_split() allows uneven splits without error.

What argument do you use to split a 2D array horizontally with np.split()?

A axis=1

B axis=-1

C axis=2

D axis=0

axis=0 splits along rows (horizontal split), axis=1 splits along columns (vertical split).

If you want to split an array into 4 equal parts, which of these is correct?

A np.split(arr, [4])

B np.split(arr, 4)

C np.split(arr, 3)

D np.split(arr, [1,2,3])

Using np.split(arr, 4) splits the array into 4 equal parts if the length is divisible by 4.

What happens if you try np.split() on an array where equal splits are not possible?

A It raises an error

B It ignores extra elements

C It splits unevenly

D It returns the original array

np.split() raises a ValueError if equal splits are not possible.

Which function allows splitting arrays into unequal parts without error?

A np.array_split()

B np.split()

C np.divide()

D np.chunk()

np.array_split() allows uneven splits without raising errors.

How do you specify the indices where to split an array using np.split()?

A As a boolean mask

B As a single integer

C As a list of indices

D As a string

You provide a list of indices where the array will be split.

Explain how np.split() works for dividing arrays and what happens if the splits are not equal.

Think about how you cut a cake into equal slices.

Describe the difference between np.split() and np.array_split().

One is strict about equal parts, the other is flexible.