To concatenate arrays in Python, you can use the numpy
library. NumPy provides a function called concatenate()
that allows you to concatenate arrays along a specified axis. Here’s an example of how you can do it:
import numpy as np
# Create two arrays
array1 = np.array([1, 2, 3])
array2 = np.array([4, 5, 6])
# Concatenate the arrays
concatenated_array = np.concatenate((array1, array2))
# Print the concatenated array
print(concatenated_array)
In the code above, we first import the numpy
library as np
. Then, we create two arrays, array1
and array2
, using the np.array()
function.
To concatenate the arrays, we use the np.concatenate()
function and pass it the arrays we want to concatenate as a tuple (array1, array2)
. The np.concatenate()
function returns the concatenated array.
Finally, we print the concatenated array using the print()
function.
The result will be [1 2 3 4 5 6]
, which is the concatenation of array1
and array2
into a single array.
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