Python NumPy repeat Function Syntax

Outrageous Ostrich answered on April 25, 2022 Popularity 9/10 Helpfulness 4/10

answer Python NumPy repeat Function Syntax

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Python NumPy repeat Function Syntax

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numpy.repeat(arr, repetitions, axis = None)

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Contributed on Apr 25 2022

Outrageous Ostrich

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repeat a numpy array

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a = np.array([0, 1, 2])
>>> np.tile(a, 2)
array([0, 1, 2, 0, 1, 2])
>>> np.tile(a, (2, 2))
array([[0, 1, 2, 0, 1, 2],
       [0, 1, 2, 0, 1, 2]])
>>> np.tile(a, (2, 1, 2))
array([[[0, 1, 2, 0, 1, 2]],
       [[0, 1, 2, 0, 1, 2]]])

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Source: numpy.org

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Contributed on Jul 30 2022

Dead Dotterel

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Python NumPy repeat Function Example

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# welcome to softhunt.net
# Python Program illustrating
# numpy.repeat()

import numpy as np

arr = np.arange(6).reshape(2, 3)
print("arr : \n", arr)

repetitions = 2
print("\nRepeating arr : \n", np.repeat(arr, repetitions, 1))
print("arr Shape : \n", np.repeat(arr, repetitions).shape)


repetitions = 2
print("\nRepeating arr : \n", np.repeat(arr, repetitions, 0))
print("arr Shape : \n", np.repeat(arr, repetitions).shape)
	
repetitions = 3
print("\nRepeating arr : \n", np.repeat(arr, repetitions, 1))
print("arr Shape : \n", np.repeat(arr, repetitions).shape)

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Source: softhunt.net

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Contributed on Apr 25 2022

Outrageous Ostrich

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Python NumPy repeat Function Example Working with 1D array

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# welcome to softhunt.net
# Python Program illustrating
# numpy.repeat()

import numpy as np

#Working on 1D
arr = np.arange(5)
print("arr : \n", arr)

repetitions = 2
a = np.repeat(arr, repetitions)
print("\nRepeating arr 2 times : \n", a)
print("Shape : ", a.shape)

repetitions = 3
a = np.repeat(arr, repetitions)
print("\nRepeating arr 3 times : \n", a)
# [0 0 0 ..., 4 4 4] means [0 0 0 1 1 1 2 2 2 3 3 3 4 4 4]
# since it was long output, so it uses [ ... ]
print("Shape : ", a.shape)

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Source: softhunt.net

Tags: function numpy n

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Contributed on Apr 25 2022

Outrageous Ostrich

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Python NumPy repeat Function Syntax

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repeat a numpy array

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