Round function of numpy in python

certainly! the `round` function in numpy is used to round elements of an array to the nearest integer or to a specified number of decimal places. this function is particularly useful when dealing with floating-point numbers that need to be rounded for better readability or to meet specific precision requirements.

- **function signature**:


- **parameters**:
- `a`: array_like
- input array containing numbers to be rounded.
- `decimals`: int, optional
- 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 new array is created.

- **returns**:
- an array with the rounded values.

### example usage

1. **basic rounding to the nearest integer**:

**output**:

2. **rounding to a specified number of decimal places**:

**output**:

3. **rounding with negative decimal places**:

when using negative values for the `decimals` parameter, the rounding will occur to the left of the decimal point.

**output**:

4. **using the `out` parameter**:

the `out` parameter allows you to store the result in an existing array.

**output**:

### conclusion

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