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Learn Lambda Functions | Functions and Modules
Introduction to Data Analysis in Python

bookLambda Functions

Sometimes you may need to define small one-action function. Especially it's quite useful for preprocessing data. In this case, you can use lambda function.

Lambda function is a small anonymous function (unless you assign it to some variable) that can have many arguments, but only one expression/instruction. To define lambda function use the keyword lambda followed by arguments. Next, set the colon sign, and define the instruction. For example, the circle_area function can be expressed as lambda:

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# Import the library import math # Define lambda function area = lambda R: print("Area:", math.pi*R**2) # Calling function area(5) area(8)
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SectionΒ 4. ChapterΒ 7

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bookLambda Functions

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Sometimes you may need to define small one-action function. Especially it's quite useful for preprocessing data. In this case, you can use lambda function.

Lambda function is a small anonymous function (unless you assign it to some variable) that can have many arguments, but only one expression/instruction. To define lambda function use the keyword lambda followed by arguments. Next, set the colon sign, and define the instruction. For example, the circle_area function can be expressed as lambda:

123456789
# Import the library import math # Define lambda function area = lambda R: print("Area:", math.pi*R**2) # Calling function area(5) area(8)
copy

Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 4. ChapterΒ 7
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