Round function of numpy in python

certainly! the `round` function in numpy is primarily used to round an array of numbers to the nearest integer or to a specified number of decimal places. let's delve into the details.

#### syntax

- **a**: array_like
- the input array or scalar to be rounded.

- **decimals**: int, optional
- the number of decimal places to round to (default is 0, which means rounding to the nearest integer).

- **out**: ndarray, optional
- a location into which the result is stored. if provided, it must have a shape that matches the input array. if not provided, a freshly-allocated array is returned.

#### returns

- an array of the same shape and type as `a`, with each value rounded to the specified number of decimals.

### examples

#### example 1: rounding a numpy array

**output:**

#### example 2: rounding to a specific number of decimal places

**output:**

#### example 3: rounding a 2d array

**output:**

#### example 4: using the `out` parameter

**output:**

### notes

- the function is vectorized, meaning it can efficiently round large arrays without the need for explicit loops.

### conclusion

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