## What is the numpy.trim_zeros() function in Python? Answer

### Overview

The **trim_zeros()**

** function** in Python is used to trim out the leading zeros from an input `1-D`

array.

### Syntax

The `trim_zeros()`

function takes the syntax below:

`numpy.trim_zeros(filt, trim='fb')`

Syntax for the trim_zeros() function in Python

### Parameter values

The `trim_zeros()`

function takes the following parameter values:

**filt**

: This is the input array. It is a required parameter.**trim**

: This is a string with an `'f'`

, which represents trim from the** **front,** **and `'b'`

, which represents trim from the** **back. This is an optional parameter.

### Return value

The `trim_zeros()`

function returns an array whose leading zero entry(ies) is trimmed.

### Example

```
import numpy as np
# creating an input array
a = np.array([0, 0, 0, 1, 2, 3, 4, 5, 0, 0, 0])
print(a)
# trimming the zero entries from fromt
print(np.trim_zeros(a))
# trimming the zero entries from fromt
print(np.trim_zeros(a, "b"))
```

Implementing the trim_zeros() function

### Explanation

- Line 1: We import the
`numpy`

module. - Line 3: We create an input array,
`a`

, using the `array()`

function. - Line 4: We print the input array,
`a`

. - Line 7: We trim the zeros entries from the front of the array using the
`trim_zeros()`

function. We print the result to the console. - Line 10: We trim the zeros entries from the back of the array using the
`trim_zeros()`

function. We print the result to the console.

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