# NumPy - trunc() function

The NumPy trunc() function returns the truncated value of the input, element-wise. The truncated value of the scalar x is the nearest integer i which is closer to zero than x is.

### Syntax

```numpy.trunc(x, out=None)
```

### Parameters

 `x` `Required. `Specify array_like as input array. `out` `Optional. `Specify a location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned.

### Return Value

Returns an array containing the truncated values if out=None. If an output array is specified, a reference to out is returned.

### Example:

The example below shows the usage of trunc() function.

```import numpy as np
Arr = np.array([[3.4,5.4],[-7.2,-15.4]])

print("Arr is:")
print(Arr )

#truncate the value (rounding to
#nearest integer towards zero)
print("\nTruncated Array is:")
print(np.trunc(Arr))
```

The output of the above code will be:

```Arr is:
[[  3.4   5.4]
[ -7.2 -15.4]]

Truncated Array is:
[[  3.   5.]
[ -7. -15.]]
```

❮ NumPy - Functions

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