# welcome to softhunt.net
# import numpy
import numpy as np

# using Numpy.expand_dims() function
softhunt = np.array([[1, 2], [7, 8]])
print(softhunt.shape)

softhunt = np.expand_dims(softhunt, axis = 1)
print(softhunt.shape)

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Source: softhunt.net

Tags: numpy nump

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Contributed on Apr 21 2022

Outrageous Ostrich

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numpy expand_dims

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y = np.expand_dims(x, axis=(2, 0))
>>> y
array([[[1],
        [2]]])

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Source: numpy.org

Tags: numpy nump

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Contributed on Oct 22 2021

Attractive Addax

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np expand dim

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import numpy as np

# Create a sample 1-dimensional NumPy array
arr = np.array([1, 2, 3, 4, 5])

# Expand the dimensions of the array along axis 0
expanded_arr = np.expand_dims(arr, axis=0)

print(expanded_arr)

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Source: Grepper

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Contributed on Sep 11 2023

YOU.com

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Python NumPy expand_dims Function Example

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# welcome to softhunt.net
# import numpy
import numpy as np

# using Numpy.expand_dims() function
softhunt = np.array([1, 2])
print(softhunt.shape)

softhunt = np.expand_dims(softhunt, axis = 0)
print(softhunt.shape)

Popularity 9/10 Helpfulness 3/10 Language python

Source: softhunt.net

Tags: numpy nump

Link to this answer
Share Copy Link

Contributed on Apr 21 2022

Outrageous Ostrich

0 Answers Avg Quality 2/10

Python NumPy expand_dims Function Syntax

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