# NumPy startswith() function

The `startswith()` function returns a boolean array with values that can either be True or False. This function will return True, if the given string starts with the specified prefix value in the function. Hence the function stands true to its name.

This function calls `str.startswith` ifor all the string elements of the array, if it is used with an array.

### Syntax of `startswith()`:

The syntax required to use this function is as follows:

``numpy.char.startswith(a, prefix, start=0, end=None)``

The above syntax indicates that `isspace()` function takes 4 parameters.

In the above syntax, the argument ‘a’ is mainly used to indicate the input array of the string on which this function will be applied.

Parameters:

Let us now discuss the parameters of this function:

• a
This parameter indicates an array either of strings or Unicode.
• prefix
This parameter indicates the prefix value that is checked in all the strings.
• start, end
Both these parameters are optional. With the optional start parameter, the search begins from this position, and with the optional end parameter the function stop comparing at that position.

Returned Values:

This function returns an array of boolean values.

## Example 1:

Let us check the output of this function if the prefix does exist in the input string:

``````import numpy as np

arr = "The Grass is greener on the other side always"
print("The Input:\n",arr)
prefix = 'Th'

x = np.char.startswith(arr, prefix, start = 0, end = None)
print("The output is :")
print (x)``````

Output:

`The Input:The Grass is greener on the other side alwaysThe output is :True`

## Example 2:

Let us check the output of this function if the prefix does not exist in the input string:

``````import numpy as np

arr = "The Grass is greener on the other side always"
print("The Input:\n",arr)
prefix = 'It'

x = np.char.startswith(arr, prefix, start = 0, end = None)
print("The output is :")
print (x)``````

Output:

`The Input:The Grass is greener on the other side alwaysThe output is :False`