Contenido del Curso
NumPy in a Nutshell
NumPy in a Nutshell
Negative Indexing
We discussed positive indexing, but there is also negative indexing. Negative indexing starts from the end, with index -1 referring to the last element, index -2 referring to the second-to-last element, and so on.
import numpy as np arr = np.array([[1, 3, 5, 7, 9], [2, 4, 6, 8, 10]]) print(arr[-1 , -1])
This example illustrates how to retrieve a value of 10 from a given two-dimensional array using negative indexing.
The first index determines the row we choose (-1 refers to the last row), while the second index corresponds to the element we select within that row (-1 is the last one). As a result, we obtain a value of 10. Run the code above to verify it.
Tarea
You have the following array:
[[-4, 3, 1], [2, 10, -4]]. Access the value 10.
Let's give it a try. Use only negative indices.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¡Gracias por tus comentarios!
Negative Indexing
We discussed positive indexing, but there is also negative indexing. Negative indexing starts from the end, with index -1 referring to the last element, index -2 referring to the second-to-last element, and so on.
import numpy as np arr = np.array([[1, 3, 5, 7, 9], [2, 4, 6, 8, 10]]) print(arr[-1 , -1])
This example illustrates how to retrieve a value of 10 from a given two-dimensional array using negative indexing.
The first index determines the row we choose (-1 refers to the last row), while the second index corresponds to the element we select within that row (-1 is the last one). As a result, we obtain a value of 10. Run the code above to verify it.
Tarea
You have the following array:
[[-4, 3, 1], [2, 10, -4]]. Access the value 10.
Let's give it a try. Use only negative indices.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¡Gracias por tus comentarios!
Negative Indexing
We discussed positive indexing, but there is also negative indexing. Negative indexing starts from the end, with index -1 referring to the last element, index -2 referring to the second-to-last element, and so on.
import numpy as np arr = np.array([[1, 3, 5, 7, 9], [2, 4, 6, 8, 10]]) print(arr[-1 , -1])
This example illustrates how to retrieve a value of 10 from a given two-dimensional array using negative indexing.
The first index determines the row we choose (-1 refers to the last row), while the second index corresponds to the element we select within that row (-1 is the last one). As a result, we obtain a value of 10. Run the code above to verify it.
Tarea
You have the following array:
[[-4, 3, 1], [2, 10, -4]]. Access the value 10.
Let's give it a try. Use only negative indices.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¡Gracias por tus comentarios!
We discussed positive indexing, but there is also negative indexing. Negative indexing starts from the end, with index -1 referring to the last element, index -2 referring to the second-to-last element, and so on.
import numpy as np arr = np.array([[1, 3, 5, 7, 9], [2, 4, 6, 8, 10]]) print(arr[-1 , -1])
This example illustrates how to retrieve a value of 10 from a given two-dimensional array using negative indexing.
The first index determines the row we choose (-1 refers to the last row), while the second index corresponds to the element we select within that row (-1 is the last one). As a result, we obtain a value of 10. Run the code above to verify it.
Tarea
You have the following array:
[[-4, 3, 1], [2, 10, -4]]. Access the value 10.
Let's give it a try. Use only negative indices.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opcionesCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones