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Introduction to Data Science with Python

Lambda Expression, Map, and Filter

Explore how to create and use lambda expressions to write concise, anonymous functions. Learn to apply lambda functions with map to transform lists, and filter to select elements based on conditions, simplifying your Python code for data processing tasks.

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Lambda expression

Now that we know the basics of functions, we can move on and learn about the Lambda expression. We’ll be using Lambda expressions extensively in our pandas library:

  • A Lambda expression can be used to create a small anonymous function, that is, a function without any name.
  • These throw-away functions are created where we need them.
  • Lambda expressions are mainly used in combination with the filter() and map() built-in functions.

The general syntax of a Lambda expression is as follows:

lambda argument_list: expression

In the syntax above, argument_list ...