NumPy Arrays
Arrays that are provided by NumPy perform much faster than built-in Python lists. These are crucial objects for performing calculations.
To create an array from list, use the .array()
method of NumPy
, passing list of values as the parameter. For example,
12345678910# Importing the library import numpy as np # List of values val = [1, 2, 3, 4, 5] # Creating a NumPy array arr1 = np.array(val) arr2 = np.array([1, 2, 3, 4, 5]) print(arr1, arr2)
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Sección 5. Capítulo 2
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NumPy Arrays
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Arrays that are provided by NumPy perform much faster than built-in Python lists. These are crucial objects for performing calculations.
To create an array from list, use the .array()
method of NumPy
, passing list of values as the parameter. For example,
12345678910# Importing the library import numpy as np # List of values val = [1, 2, 3, 4, 5] # Creating a NumPy array arr1 = np.array(val) arr2 = np.array([1, 2, 3, 4, 5]) print(arr1, arr2)
¿Todo estuvo claro?
¡Gracias por tus comentarios!
Sección 5. Capítulo 2