Text

String Module for autopylot.This module contains functions for working with strings.

Examples:

>>> from autopylot import text
>>> text.get_alphabets(text="hello123:l;,")
'hellol'
>>> text.get_numbers(text="hello123:l;,")
'123
>>> text.remove_special_characters(text="hello123:l;,")
'hello123l'

The module contains the following functions:

get_alphabets(text): Extract only alphabets from the given string.
get_numbers(text): Extract only numbers from the given string.
remove_special_characters(text): Remove special characters from the given string.
get_substring(string, start, end, include_start=True, include_end=True, remove_trailing_whitespaces=True): Extract a substring from a string.

`get_alphabets(text)`

Extracts alphabets from the given string.

Parameters:

Name	Type	Description	Default
`text`	`str`	The string from which alphabets are to be extracted.	required

Returns:

Name	Type	Description
`text`	`str`	Alphabets from the given string.

Examples:

>>> text.get_alphabets(text="hello123:l;,")
'hellol'

`get_numbers(text)`

Extracts alphabets from the given string.

Parameters:

Name	Type	Description	Default
`text`	`str`	The string from which numbers are to be extracted.	required

Returns:

Name	Type	Description
`text`	`str`	Numbers extracted from the given string.

Examples:

>>> text.get_numbers(text="hello123:l;,")
'123'

`get_substring(string, start, end, include_start=True, include_end=True, remove_trailing_whitespaces=True)`

Extracts substring from a string.

Parameters:

Name	Type	Description	Default
`string`	`str`	The string from which substring is to be extracted.	required
`start`	`str`	The starting word of the substring.	required
`end`	`str`	The ending word of the substring.	required
`include_start`	`bool`	Whether to include the starting word in the extracted substring.	`True`
`include_end`	`bool`	Whether to include the ending word in the extracted substring.	`True`
`remove_trailing_whitespaces`	`bool`	Whether to remove trailing whitespaces from the extracted substring.	`True`

Returns:

Name	Type	Description
`substring`	`str`	The extracted substring.

Examples:

>>> get_substring(string="Hello Beautiful World. Today is a great day.", start="Hello", end="Today", include_start=True, include_end=False, remove_trailing_whitespaces=True)
'Hello Beautiful World.'

`remove_special_characters(text)`

Removes special characters from the given string.

Parameters:

Name	Type	Description	Default
`text`	`str`	The string from which special characters are to be removed.	required

Returns:

Name	Type	Description
`text`	`str`	The string without special characters.

Examples:

>>> text.extract_only_alphabets(text="hello123:l;,")
'hello123l'