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numpy merge arrays

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Joyous Jay answered on February 28, 2020 Popularity 10/10 Helpfulness 10/10

answer numpy merge arrays

related join two numpy arrays

related Concatenate 2 array numpy

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numpy merge arrays

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>>> a = np.array([[1, 2], [3, 4]])
>>> b = np.array([[5, 6]])
>>> np.concatenate((a, b), axis=0)
array([[1, 2],
       [3, 4],
       [5, 6]])
>>> np.concatenate((a, b.T), axis=1)
array([[1, 2, 5],
       [3, 4, 6]])

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Source: numpy.org

Tags: arrays merge numpy python

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Contributed on Aug 07 2020

Joyous Jay

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join two numpy arrays

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numpy.concatenate([arr1, arr2]) # Joining arr1 and arr2

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Source: stackoverflow.com

Tags: arrays ar

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Contributed on Feb 28 2020

Average Alligator

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Concatenate 2 array numpy

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a = np.array([1, 2, 3, 4])
b = np.array([5, 6, 7, 8])
np.concatenate((a, b))

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Source: numpy.org

Tags: numpy nump

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Contributed on Apr 05 2022

BlueMoon

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NumPy Concatenate Arrays

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# Example 1: Use concatenate() to join two arrays
con = np.concatenate((arr, arr1))
print(con)

# Example 2: Use concatenate() with axis
con = np.concatenate((arr, arr1), axis=1)
print(con)

# Example 3: Use np.stack() function to Join Arrays
con = np.stack((arr, arr1), axis=1)
print(con)

# Example 4: Use np.hstack() function
con = np.hstack((arr, arr1))
print(con)

# Example 5: Use np.vstack() function 
con = np.vstack((arr, arr1))
print(con)

# Example 6: Use np.dstack() function to Stacking Along Height (depth)
con = np.dstack((arr, arr1))
print(con)

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Source: sparkbyexamples.com

Tags: arrays ar

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Contributed on Aug 16 2022

Sumaia Parveen Shupti

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numpy merge arrays

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