Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Leer Joining | Important Functions
NumPy in a Nutshell
course content

Cursusinhoud

NumPy in a Nutshell

NumPy in a Nutshell

1. Getting Started with NumPy
2. Dimensions in Arrays
3. Indexing and Slicing
4. Important Functions

book
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)
copy

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)
copy

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)
copy
Taak

Swipe to start coding

You have two arrays:

  1. [[12, 56, 78], [35, 1, 5]];

  2. [[ 8, 65, 3], [ 1, 2, 3]].

You have to create the following combined array:

python

Oplossing

Switch to desktopSchakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties
Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

Sectie 4. Hoofdstuk 3
toggle bottom row

book
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)
copy

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)
copy

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)
copy
Taak

Swipe to start coding

You have two arrays:

  1. [[12, 56, 78], [35, 1, 5]];

  2. [[ 8, 65, 3], [ 1, 2, 3]].

You have to create the following combined array:

python

Oplossing

Switch to desktopSchakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties
Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

Sectie 4. Hoofdstuk 3
Switch to desktopSchakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties
Onze excuses dat er iets mis is gegaan. Wat is er gebeurd?
some-alt