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PYTHON

python map

# Python program to demonstrate working
# of map.
  
# Return double of n
def addition(n):
    return n + n
  
# We double all numbers using map()
numbers = (1, 2, 3, 4)
result = map(addition, numbers)
print(list(result))

# Output :-

# 1 + 1 = 2 / 2 + 2 = 4 / 3 + 3 = 6 / 4 + 4 = 8

[2, 4, 6, 8]

# Example With Strings :-


# List of strings
my_list = ['sat', 'bat', 'cat', 'mat']
   
# map() can listify the list of strings individually
test = list(map(list, my_list))
print(test)

# Output :-

# listify the list of strings individually Like :-

# 'sat' 3 Letters ==> The Function is Offered Individually :- 's', 'a', 't'

[['s', 'a', 't'], ['b', 'a', 't'], ['c', 'a', 't'], ['m', 'a', 't']]
Comment

python map function

# The map function applies a function to every item in a list,
# and returns a new list.

numbers =  [0, -1, 2, 3, -4]

def square_func(n):
    return n*n
 
new_numbers = list(map(square_func, numbers))
#new_numbers: [0, 1, 4, 9, 16]
Comment

map python 3

#generate a list from map iterable with lambda expression
list( map(lambda x: x*2, numeros) )
Comment

map function in python

# Python program to demonstrate working 
# of map. 
  
# Return double of n 
def addition(n): 
    return n + n 
  
# We double all numbers using map() 
numbers = (1, 2, 3, 4) 
result = map(addition, numbers) 
print(list(result))
Comment

Python map()

# Program to double each item in a list using map()

my_list = [1, 5, 4, 6, 8, 11, 3, 12]

new_list = list(map(lambda x: x * 2 , my_list))

print(new_list)
Comment

pyhton map

def calculateSquare(n):
    return n*n


numbers = (1, 2, 3, 4)
result = map(calculateSquare, numbers)
print(result)

# converting map object to set
numbersSquare = list(result)
print(numbersSquare)
Comment

Python Map function

# Let's define general python function
>>> def doubleOrNothing(num):
...     return num * 2

# now use Map on it.
>>> map(doubleOrNothing, [1,2,3,4,5])
<map object at 0x7ff5b2bc7d00>

# apply built-in list method on Map Object
>>> list(map(doubleOrNothing, [1,2,3,4,5])
[2, 4, 6, 8, 10]

# using lambda function
>>> list(map(lambda x: x*2, [1,2,3,4,5]))
[2, 4, 6, 8, 10]
Comment

map in python

#Syntax
map(functions, iterables)
Comment

map in python

# Python program to demonstrate working 
# of map. 
  
# Return double of n 
def addition(n): 
    return n + n 
  
# We double all numbers using map() 
numbers = (1, 2, 3, 4) 
result = map(addition, numbers) 
print(list(result))
# result [2, 4, 6, 8]
Comment

python dictionary map function

dictionary = {k: f(v) for k, v in dictionary.items()}
Comment

map in python

product = 1
list = [1, 2, 3, 4]
for num in list:
    product = product * num

# product = 24
Comment

map in python

map(function_to_apply, list_of_inputs)
Comment

map python

>>> numbers = [-2, -1, 0, 1, 2]
>>> abs_values = list(map(abs, numbers))
>>> abs_values
[2, 1, 0, 1, 2]
>>> list(map(float, numbers))
[-2.0, -1.0, 0.0, 1.0, 2.0]
>>> words = ["Welcome", "to", "Real", "Python"]
>>> list(map(len, words))
[7, 2, 4, 6]
Comment

python map

# Python program to demonstrate working
# of map.
  
# Return double of n
def addition(n):
    return n + n
  
# We double all numbers using map()
numbers = (1, 2, 3, 4)
result = map(addition, numbers)
print(list(result))
Comment

python map

map(function_to_apply, list_of_inputs)
Comment

map in python 3

map(function, iterable, ...)
Comment

map in python

'''
Map:
A standard function that accepts at least "two-arguments",
a function and an "iterable"

Iterable - something that can be iterated over (list, dictionary,
strings, sets, tuples)

runs the Lambda for each value in the iterable and 
returns a map object which can be converted into another data structure

Keyword:
map(function/lambda func., variable)
'''
# Example:
nums = [1,2,3,4]
power = map(math.pow(2), nums)
print(list(power)) # 1, 4, 9, 16
powerLamb = map(lambda x: x**2, nums) # 1, 4, 9, 16
Comment

função map python

lista =  [1, 2, -3, 4, 5, -9]
def quadrado(n):
    return n*n
 
map(quadrado, lista)
[1, 4, 9, 16, 25, 81]
Comment

mapping in python

map() is a higher-order built-in function that takes a function and iterable as inputs,
and returns an iterator that applies the function to each element of the iterable.
Comment

Python Map Function Syntax

map(fun, iter)
Comment

map python

// if you want to take single int input 
a=int(input())
// if you want n elements of array a as input from console/user
a = list(map(int,input().strip().split()))
# u can also covert it to set,tuple etc 
# ex. set(map(int, input().strip().split()))

NOTE: suppose if you want a list with duplicates removed
list(set(map(int, input().strip().split())))

also note map is a method and is not hashmap which is actually disct in python.
and ommitting .strip() in 2nd argument of map func might also work.

# more explaination of above:
https://www.quora.com/What-does-the-following-line-mean-in-Python-list-map-int-input-strip-split-I
Comment

map function in pyhton

# Python program to demonstrate working
# of map.
  
# Return double of n
def addition(n):
    return n + n
  
# We double all numbers using map()
numbers = (1, 2, 3, 4)
result = addition(numbers)
print(list(result))
Comment

map in python

price_list=[120,250,133,420,145,369,700]
# given alist of prices
def sale(price):
  # function for add discount in sale for evry price
      discount=(15/100)
    # discount 15%
      new_price = price*discount
      # new price
      return new_price
      
new_price_list=list(map(sale,price_list))

# 120*15% , 250*15)3*15%
# use map function take evry price in price list
# add evry  price to slae funtion
# add discount to this price return new price 
# add evry new price in new_price_list
print(f"price list in sale {new_price_list}")
#print new list of prices
Comment

when to use map function in python

#The map function is used to do a certain function to a certain iterable
#It takes a function and an iterable
numbers = [1,2,3,4,5,6,7,8,9,10]
x = map(lambda nom : nom*nom, numbers)
print(list(x))
#So here my function is the lambda and the iterable is the numbers list
#And with this I apply nom*nom to every item to the list
# if I didn't put the list function before x it would print map object at .....
Comment

map in python

items = [1, 2, 3, 4, 5]
squared = list(map(lambda x: x**2, items))
Comment

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