NumPy ravel()

ravel() Syntax

The syntax of ravel() is:

numpy.ravel(array, order)

ravel() Arguments

The ravel() method takes two arguments:

• array - an original array that is to be flattened
• order (optional) - specifies the order in which the array elements are flattened

ravel() Return Value

The ravel() method returns the flattened array.

Example 1: Flatten a Multidimensional Array

Output

 [0 1 2 3 4 5 6 7]

Using Optional Order Argument in ravel()

The order argument specifies the order in which the array elements are flattened.

The order can be:

• 'C' - flattens the elements row-wise (in C-style order)
• 'F' - flattens the elements column-wise (in Fortran-style order)
• 'A' - tries to preserve the original array's order, otherwise defaults to C-order.
• 'K' - flattens the elements in the order they occur in memory, and uses C-order by default.

Output

C: [0 1 2 3 4 5 6 7]
F: [0 4 2 6 1 5 3 7]
A: [0 1 2 3 4 5 6 7]
K: [0 4 2 6 1 5 3 7]

Difference Between Flatten and Ravel

The key differences between flatten() and ravel() are

• flatten() is an ndarray object method whereas ravel() is a library-level function. For example,

Output

[1 2 3 4]
[1 2 3 4]

• ravel() works with a list of arrays, but flatten() doesn't.

Output

[1 2 3 4]
Traceback (most recent call last):
  File "<string>", line 13, in <module>
ERROR!
AttributeError: 'list' object has no attribute 'flatten'

• flatten() always returns a copy of the original array whereas ravel() makes a copy only when necessary.

To learn more, visit NumPy flatten().