Appending 2D Arrays in Python
In Python, we can have ND arrays. We can use NumPy module to process arrays in Python.
This tutorial demonstrated the different methods you can use to append values to a two-dimensional array in Python.
Use append()the function to append values to a 2D array in Python
In this case, we will use a list instead of an array. Lists are one of the four built-in data types provided in Python and are very similar to arrays. You can first tolist()convert a NumPy array to a list using the function.
append()The function is used to add an item to the end of the specified list. This function does not create a new list but modifies the original list.
The following code uses append()the append function to append a two-dimensional array in Python.
a = [[], []]
a[0].append([10, 20])
a[1].append([80, 90])
print(a)
Output:
[[[10, 20]], [[80, 90]]]
First a two-dimensional list is created in the above code and then we append()add the required elements using the function. It adds the provided value at the end of the list.
We can numpy.array()convert the final result into a NumPy array using the function.
numpy.append()Append values to a 2D array in Python
using the
The NumPy library handles multidimensional arrays and provides functions that perform smooth operations on the arrays given in the code.
We can use the function when creating an array numpy.array(). The NumPy module contains a function numpy.append()that is used to append an element to the end of a given array.
numpy.append()method has the following syntax.
numpy.append(arr, values, axis=None)
Note that if no axis values are provided, the multidimensional array is flattened, resulting in a single-dimensional array. Also, the provided values need to have a similar shape to the given array.
The following code uses numpy.append()the append function to append a two-dimensional array in Python.
import numpy as np
arr5 = np.array([[10, 20, 30], [100, 200, 300]])
arr6 = np.array([[70, 80, 90], [310, 320, 330]])
newselect = np.append(arr5, arr6, axis=1)
print(newselect)
Output:
[[ 10 20 30 70 80 90]
[100 200 300 310 320 330]]
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