Python numpy String Functions

The Python numpy string functions are to alter the given string as per your requirement. The numpy string functions are: add, multiply, capitalize, title, upper, lower, center, split, splitlines, strip, join, replace, encode, and decode. For instance, the numpy string upper function converts to uppercase. These examples helps you understand the Python numpy string functions.

Python numpy add

The python numpy add function used for string concatenation. In this example, we are using this numpy add function to add two strings

import numpy as np

print('Numpy String concatenation')
print(np.char.add(['Tutorial'], ['Gateway']))

numpy add function to perform string concatenation output

Numpy String concatenation
['TutorialGateway']

This time we declared two different strings. Next, we used this numpy char add function

import numpy as np
 
fname = 'Suresh'
company = ' Tutorial Gateway'
 
print('Numpy String concatenation')
print(np.char.add([fname], [company]))

char add function output

Numpy String concatenation
['Suresh Tutorial Gateway']

Here, we are concatenating a string variable and sample text

import numpy as np
 
fname = 'Suresh'
 
print('concatenation')
print(np.char.add([fname], [' Working at Tutorial Gateway']))

char add output

concatenation
['Suresh Working at Tutorial Gateway']

Python numpy multiply

The Python numpy multiply function used to multiply or repeat a given string for a specified number of times. In this example, p.char.multiply(‘hello ‘, 2) repeats hello twice.

import numpy as np
 
print('---Numpy String multiply---')
print(np.char.multiply('hello ', 2))
 
print('-------')
 
fname = 'Numpy '
print(np.char.multiply(fname, 4))
print(np.char.multiply(fname, 6))

Python numpy capitalize

The Python numpy capitalize function used to capitalize or uppercase the first letter in a complete string.

import numpy as np
 
print('---Numpy String capitalize---')
print(np.char.capitalize('hello'))
print(np.char.capitalize('hello world'))
 
print('-------')
 
fname = 'numpy'
company = 'tutorial gateway'
print(np.char.capitalize(fname))
print(np.char.capitalize(company))

Python numpy title

The Python numpy title function is to convert the first letter of each word to uppercase

import numpy as np
 
print('---Numpy String title---')
print(np.char.title('hello'))
print(np.char.title('hello world'))
print(np.char.title('hi, how are you?'))
 
print('-------')
 
name = 'python'
company = 'tutorial gateway'
print(np.char.title(name))
print(np.char.title(company))

Python numpy upper

The Python numpy upper converts all the letters in a string to uppercase

import numpy as np

print('---Numpy String upper---')
print(np.char.upper('hello'))
print(np.char.upper('hello world'))
print(np.char.upper('hi, how are you?'))
print('\n---Uppercase example 2----')
 
name = 'python'
company = 'tutorial gateway'
print(np.char.upper(name))
print(np.char.upper(company))

Python numpy lower

This Python numpy lower converts all the characters in a string to lowercase

import numpy as np
 
print('---Numpy String lower---')
print(np.char.lower('HI, HOW DO YOU DO?'))
print(np.char.lower('HELLO WORLD'))
print(np.char.lower('WELCOME'))
 
print('\n---Lowercase example 2----')
 
name = 'PYTHON'
company = 'WELCOME TO TUTORIAL GATEWAY'
print(np.char.lower(name))
print(np.char.lower(company))

Python numpy center

The Python numpy center is for padding a string. The syntax of the Numpy center

np.char.center(‘string’, length, ‘char’)

If the given length is less than the original length, then Python removes the extra characters from the original string (trim)

If length is greater than the original length, then those extra spaces filled with the given character. As the name suggests, the original string in the center position.

import numpy as np
 
print('---center---')
print(np.char.center('Hello', 11, '*'))
print(np.char.center('Welcome', 20, '#'))
print(np.char.center('Hello', 4, '*'))
 
print('\n--char center example----')
 
name = 'Python'
company = 'TutorialGateway'
print(np.char.center(name, 30, '@'))
print(np.char.center(company, 50, '$'))
print(np.char.center(company, 10, '$'))

center function output

---center---
***Hello***
######Welcome#######
Hell

---char center example----
@@@@@@@@@@@@[email protected]@@@@@@@@@@@
$$$$$$$$$$$$$$$$$TutorialGateway$$$$$$$$$$$$$$$$$$
TutorialGa

Python Numpy strip

The Python Numpy strip removes empty spaces from Both the right and left sides of a given string.

import numpy as np
 
msg1 = '   Hello'
msg2 = 'Python        '
msg3 = '         Hello World           '
 
print('Original Message = ', msg1)
print('Strip Left       = ', np.char.strip(msg1))
 
print('\nOriginal Message  = ', msg2)
print('Strip Right         = ', np.char.strip(msg2))
 
print('\nOriginal Message   = ', msg3)
print('Strip Left & Right = ', np.char.strip(msg3))

strip function output

Original Message =     Hello
Strip Left       =  Hello

Original Message  =  Python        
Strip Right         =  Python

Original Message   =           Hello World           
Strip Left & Right =  Hello World

Python numpy split

The Python numpy split function splits the given string based on the specified separator

import numpy as np
 
print('---split---')
print(np.char.split('Hello World', sep = ' '))
print(np.char.split('hi,how are you?', sep = ' '))
print(np.char.split('hi,Python,Program', sep = ','))
 
print('\n----char split---')
 
msg = 'Welcome to Tutorial Gateway'
print(np.char.split(msg, sep = ' '))
 
msg2 = '[email protected]@[email protected]@Gateway'
print(np.char.split(msg2, sep = '@'))

split function output

---split---
['Hello', 'World']
['hi,how', 'are', 'you?']
['hi', 'Python', 'Program']

----char split---
['Welcome', 'to', 'Tutorial', 'Gateway']
['Welcome', 'Python', 'From', 'Tutorial', 'Gateway']

Python numpy splitlines

This Python numpy splitlines returns a list of lines in a given string. The numpy splitlines considers the line breaks \n and \r.

import numpy as np
 
msg = 'Hello\nWorld'
print(msg)
print('\n-- splitlines output----')
print(np.char.splitlines(msg))
print()
 
msg1 = 'Hi\rHow are you?'
print(msg1)
print('\n-- splitlines output----')
print(np.char.splitlines(msg1))
print()
 
msg2 = 'Hi\rHow are \nyou?'
print(msg2)
print('\n-- splitlines output----')
print(np.char.splitlines(msg2))
 
print('\n--- splitlines---')
print(np.char.splitlines('Hello\nWorld'))

splitlines function output

Hello
World

-- splitlines output----
['Hello', 'World']

Hi
How are you?

-- splitlines output----
['Hi', 'How are you?']

Hi
How are 
you?

-- splitlines output----
['Hi', 'How are ', 'you?']

---splitlines---
['Hello', 'World']

Python numpy join

The Python numpy join function joins the specified character(first Argument) after each character in a given string.

import numpy as np
 
print('--- join---')
print(np.char.join(':', 'HMS'))
print(np.char.join('/', 'dmy'))
print(np.char.join('-', 'dmy'))
print(np.char.join(' ', 'HelloWorld'))
 
print('\n----char join---')
print(np.char.join(['-', ':'], ['dmy', 'mdy']))
print(np.char.join(['@', '$', ':'], ['Hi', 'Hello', 'HMS']))

join function output

---join---
H:M:S
d/m/y
d-m-y
H e l l o W o r l d

----char join---
['d-m-y' 'm:d:y']
['[email protected]' 'H$e$l$l$o' 'H:M:S']

Python numpy replace

The Python numpy replace function is used to replace the substring with a new string

np.char.replace(original_string, old_string, new_string)

The Numpy replace function searches for an old string in an original. If it finds, the numpy replace function replace with new_string.

import numpy as np
 
print(np.char.replace('Hello', 'l', 'K'))
print(np.char.replace('tutorial', 't', 'M'))
 
print(np.char.replace('oh boy! welcome to you', 'o', 'X'))
print(np.char.replace('oh boy! welcome to you', 'o', 'SSh'))

replace function output

HeKKo
MuMorial
Xh bXy! welcXme tX yXu
SShh bSShy! welcSShme tSSh ySShu

It is another example of a numpy string replace function.

import numpy as np
 
msg1 = 'Hello World'
msg2 = 'xyz working in xyz position at xyz company'
 
print('Original Message   = ', msg1)
print('Repalce l with T   = ', np.char.replace(msg1, 'l', 'T'))
print('Repalce o with HMS = ', np.char.replace(msg1, 'o', 'HMS'))
 
print('\nOriginal Message   = ', msg2)
print('Repalce o with T     = ', np.char.replace(msg2, 'o', 'T'))
print('Repalce xyz with abc = ', np.char.replace(msg2, 'xyz', 'abc'))

replace function output

Original Message   =  Hello World
Repalce l with T   =  HeTTo WorTd
Repalce o with HMS =  HellHMS WHMSrld

Original Message   =  xyz working in xyz position at xyz company
Repalce o with T     =  xyz wTrking in xyz pTsitiTn at xyz cTmpany
Repalce xyz with abc =  abc working in abc position at abc company

Python numpy encode

The Python numpy encode used to encode the string using the specified encoder. Here, np.char.encode(‘Hello’, ‘cp500’) encode Hello string using cp500

import numpy as np
 
print('---String encode---')
print(np.char.encode('Hello', 'cp500'))
print(np.char.encode('Hello', 'utf_16'))
print(np.char.encode('How are You?', 'cp500'))
print(np.char.encode('Welcome again!', 'utf_16'))
 
print('\n---char encode----')
name = 'Python'
company = 'Tutorial Gateway'
print(np.char.encode(name, 'cp500'))
print(np.char.encode(name, 'utf_16'))
print(np.char.encode(name, 'utf_16_le'))
 
print(np.char.encode(company, 'cp500'))
print(np.char.encode(company, 'utf_16'))
print(np.char.encode(company, 'utf_16_be'))

encode function output

---String encode---
b'\xc8\x85\x93\x93\x96'
b'\xff\xfeH\x00e\x00l\x00l\x00o'
b'\xc8\x96\[email protected]\x81\x99\[email protected]\xe8\x96\xa4o'
b'\xff\xfeW\x00e\x00l\x00c\x00o\x00m\x00e\x00 \x00a\x00g\x00a\x00i\x00n\x00!'

---char encode----
b'\xd7\xa8\xa3\x88\x96\x95'
b'\xff\xfeP\x00y\x00t\x00h\x00o\x00n'
b'P\x00y\x00t\x00h\x00o\x00n'
b'\xe3\xa4\xa3\x96\x99\x89\x81\[email protected]\xc7\x81\xa3\x85\xa6\x81\xa8'
b'\xff\xfeT\x00u\x00t\x00o\x00r\x00i\x00a\x00l\x00 \x00G\x00a\x00t\x00e\x00w\x00a\x00y'
b'\x00T\x00u\x00t\x00o\x00r\x00i\x00a\x00l\x00 \x00G\x00a\x00t\x00e\x00w\x00a\x00y'

Python numpy string decode

The Python numpy decode used to decode the already encoded (numpy encode) string. Here, you have to specify the code that has to use for decoding a message. If you use the wrong code, then numpy decode function throws an error.

import numpy as np
 
print('---String decode---')
print(np.char.decode(b'\xc8\x85\x93\x93\x96', 'cp500'))
 
print('\n---char decode----')
name = b'\xd7\xa8\xa3\x88\x96\x95'
company = b'\xe3\xa4\xa3\x96\x99\x89\x81\[email protected]\xc7\x81\xa3\x85\xa6\x81\xa8'
print(np.char.decode(name, 'cp500'))
print(np.char.decode(company, 'cp500'))
 
print('\n---char decode----')
name = 'Python Numpy'
ecode = np.char.encode(name, 'cp500')
dcode = np.char.decode(ecode, 'cp500')

print('Original Message = ', name)
print('Encoded Message  = ', ecode)
print('Decoded Message  = ', dcode)

decode output

---String decode---
Hello

---char decode----
Python
Tutorial Gateway

---char decode----
Original Message =  Python Numpy
Encoded Message  =  b'\xd7\xa8\xa3\x88\x96\[email protected]\xd5\xa4\x94\x97\xa8'
Decoded Message  =  Python Numpy