Basic python Tutorial-how to use Map

This article describes the basic python Tutorial-related information on Map usage. A simple example is provided here. For more information, see Python Map

Map maps a function to all elements in an input list. Map specifications: map (function_to_apply, list_of_inputs)
Most of the time, we need to pass all the elements in the list one by one to a function and collect the output. For example:

items = [1, 2, 3, 4, 5] squared = [] for i in items:   squared.append(i**2)

Using Map allows us to solve this problem in a simpler way.

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

Most of the time, we use the anonymous function lambda in python to work with map. We can use a list function as well as a list input.

def multiply(x):   return (x*x) def add(x):   return (x+x) funcs = [multiply, add] for i in range(5):   value = list(map(lambda x: x(i), funcs))   print(value)

The above program output is:

# Output: # [0, 0] # [1, 2] # [4, 4] # [9, 6] # [16, 8]

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