Created
July 7, 2019 15:21
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import numpy # Importamos numpy para usarlo en nuestro codigo | |
import numpy as np # Importamos con un alias | |
a = numpy.array([1, 2, 3]) # Creamos una array de numpy | |
print(a) # [1 2 3] | |
# Bajo el alias | |
a = np.array([1, 2, 3]) # Creamos una array de numpy | |
print(a) # [1 2 3] | |
a = np.array(['a', 1, 2, 'b']) # Está mal | |
# Tipo de dato | |
print(type(a)) # <class 'numpy.ndarray'> | |
# Array de dos dimensiones | |
a = np.array([[1, 2, 3], [1, 2, 3]]) # Array de dos dimensiones | |
print(a) | |
# [[1 2 3] | |
# [1 2 3]] | |
print(a) | |
# [[1 2 3] | |
# [1 2 3]] | |
a.shape # (2, 3) | |
a.ndim # 2 | |
a.size # 6 | |
a.itemsize # 8 | |
a.dtype # int64 | |
# Calcular el tamaño en memoria de mi Array | |
print(f'Tamaño de mi array: {a.itemsize * a.size} bytes') | |
# Tamaño de mi array: 48 bytes |
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