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# Find length of one array element in bytes and total bytes consumed by the elements in Numpy

• Last Updated : 23 Jul, 2021

In NumPy we can find the length of one array element in a byte with the help of itemsize . It will return the length of the array in integer. And in the numpy for calculating total bytes consumed by the elements with the help of nbytes.

Syntax: array.itemsize

Return :It will return length(int) of the array in bytes.

Syntax: array.nbytes

Example 1:

## Python

 `import` `numpy as np`  `array ``=` `np.array([``1``,``3``,``5``], dtype``=``np.float64)` `# Size of the array``print``(array.size)` `# Length of one array element in bytes,``print``( array.itemsize)` `# Total bytes consumed by the elements``# of the array``print``(array.nbytes)`

Output:

```3
8
24```

Example 2:

## Python

 `import` `numpy as np`  `array ``=` `np.array([``20``, ``34``, ``56``, ``78``, ``1``, ``9``], dtype``=``np.float64)` `# Size of the array``print``(array.size)` `# Length of one array element in bytes,``print``(array.itemsize)` `# Total bytes consumed by the elements``# of the array``print``(array.nbytes)`

Output:

```6
8
48```

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