# How to round array elements to the given number of decimals using NumPy?

• Last Updated : 05 Sep, 2020

In NumPy, we can round array elements to the given number of decimals with the help of round().

Syntax:

`np.round(a, decimals=0, out=None)`

The first parameter will be an array and the second parameter will be the number of decimals for which needed rounded. If no parameter will be pass as the second parameter then by default it takes 0. It will return round array elements to the given number of decimals.

Example 1:

## Python3

 `import` `numpy as np`` ` ` ` `# perform the numpy.round``rounded_array ``=` `np.``round``([``1.5``, ``1.53``, ``1.23``, ``3.89``])`` ` `# print the rounded_array``print``(rounded_array)`

Output

```[2. 2. 1. 4.]
```

Example 2:

## Python3

 `import` `numpy as np`` ` ` ` `# perform the numpy.round``rounded_array ``=` `np.``round``([``1.5``, ``1.53``, ``1.23``, ``3.89``], ``                         ``decimals``=``1``)`` ` `# print the rounded_array``print``(rounded_array)`

Output:

```[1.5 1.5 1.2 3.9]
```

Example

## Python3

 `import` `numpy as np`` ` ` ` `# perform the numpy.round``rounded_array ``=` `np.``round``(``    ``[``1.534``, ``1.5389``, ``1.2301``, ``3.89903``, ``6.987``, ``4.09``], decimals``=``2``)`` ` `# print the rounded_array``print``(rounded_array)`

Output:

```[1.53 1.54 1.23 3.9  6.99 4.09]
```

My Personal Notes arrow_drop_up