# Convert 3D Array to 2D Array in Python

In this tutorial, we will discuss converting a 3D array to a 2D array in Python.

## Convert a 3D Array to a 2D Array With the `numpy.reshape()` Function in Python

The `numpy.reshape()` function changes the shape of an array without changing its data. `numpy.reshape()` returns an array with the specified dimensions. For example, if we have a 3D array with dimensions `(4, 2, 2)` and we want to convert it to a 2D array with dimensions `(4, 4)`.

The following code example shows us how we can use the `numpy.reshape()` function to convert a 3D array with dimensions `(4, 2, 2)` to a 2D array with dimensions `(4, 4)` in Python.

``````import numpy
arr = numpy.array(
[[[ 0,  1],
[ 2,  3]],

[[ 4,  5],
[ 6,  7]],

[[ 8,  9],
[10, 11]],

[[12, 13],
[14, 15]]]
)
newarr = arr.reshape(4,2*2)
print(newarr)
``````

Output:

``````[[ 0  1  2  3]
[ 4  5  6  7]
[ 8  9 10 11]
[12 13 14 15]]
``````

In the above code, we first initialize a 3D array `arr` using `numpy.array()` function and then convert it into a 2D array `newarr` with `numpy.reshape()` function.

The following code example shows another way of doing the same thing if, for some reason, we do not know the exact dimensions of the 3D array.

``````import numpy
arr = numpy.array(
[[[ 0,  1],
[ 2,  3]],

[[ 4,  5],
[ 6,  7]],

[[ 8,  9],
[10, 11]],

[[12, 13],
[14, 15]]]
)
newarr = arr.reshape(arr.shape, (arr.shape*arr.shape))
print(newarr)
``````

Output:

``````[[ 0  1  2  3]
[ 4  5  6  7]
[ 8  9 10 11]
[12 13 14 15]]
``````

In the above code, we use the `numpy.shape()` function to specify the dimensions of the `newarr`. The `numpy.shape()` function returns a tuple that contains the number of elements in each dimension of an array.

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