Joining

Another equally important operation in array manipulation is joining arrays. Joining arrays involves combining multiple arrays into a single array that includes all the elements from each of the original arrays.

We perform this concatenation along the specified axes:

if axis = 0 (which is the default value), this implies concatenating the arrays by rows;
if axis = 1, this means concatenating the arrays by columns.

Join two arrays:


              12345678
            
import numpy as np

array_1 = np.array([54, 6, 23, 1, 6])
array_2 = np.array([12, 67, 94, 2, 8 ])

array = np.concatenate((array_1, array_2))

print(array)

Concatenate two 2-D arrays along columns (axis=1):


              12345678
            
import numpy as np

array_1 = np.array([[0, 1, 2], [3, 4, 5]])
array_2 = np.array([[6, 7, 8], [9, 10, 11]])

array = np.concatenate((array_1, array_2), axis=1)

print(array)

Concatenate two 2-D arrays along rows (default axis=0):


              12345678
            
import numpy as np

array_1 = np.array([[0, 1, 2], [3, 4, 5]])
array_2 = np.array([[6, 7, 8], [9, 10, 11]])

array = np.concatenate((array_1, array_2))

print(array)

Opgave

Swipe to start coding

You have two arrays:

[[12, 56, 78], [35, 1, 5]];
[[ 8, 65, 3], [ 1, 2, 3]].

You have to create the following combined array:

python

Løsning

Skift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder

Var alt klart?

Tak for dine kommentarer!

Sektion 4. Kapitel 3

Joining

We perform this concatenation along the specified axes:

if axis = 0 (which is the default value), this implies concatenating the arrays by rows;
if axis = 1, this means concatenating the arrays by columns.

Join two arrays:


              12345678
            
import numpy as np

array_1 = np.array([54, 6, 23, 1, 6])
array_2 = np.array([12, 67, 94, 2, 8 ])

array = np.concatenate((array_1, array_2))

print(array)

Concatenate two 2-D arrays along columns (axis=1):


              12345678
            
import numpy as np

array_1 = np.array([[0, 1, 2], [3, 4, 5]])
array_2 = np.array([[6, 7, 8], [9, 10, 11]])

array = np.concatenate((array_1, array_2), axis=1)

print(array)

Concatenate two 2-D arrays along rows (default axis=0):


              12345678
            
import numpy as np

array_1 = np.array([[0, 1, 2], [3, 4, 5]])
array_2 = np.array([[6, 7, 8], [9, 10, 11]])

array = np.concatenate((array_1, array_2))

print(array)

Opgave

Swipe to start coding

You have two arrays:

[[12, 56, 78], [35, 1, 5]];
[[ 8, 65, 3], [ 1, 2, 3]].

You have to create the following combined array:

python

Løsning

Skift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder

Var alt klart?

Tak for dine kommentarer!

Sektion 4. Kapitel 3

Skift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder