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Lambda functions

They are very useful when it is necessary to perform small tasks with less code, they promote the readability of the code

example :

 power = lambda x, y: x ** y
power(2, 3)

Lambdas show us their great power when we need to use functions that take another function as an argument. An example of such a function in python could be: apply(), map() or reduce().

nums = [48, 6, 9, 21, 1]
square = map(lambda num: num ** 2, nums)

apply to a dataset

import pandas as pd

train = pd.read_csv("dataset/train.csv") # load the dataset

The first thing to do is to deal with the missing value , lets check first how many there are for each variable avec Lambda function

train.apply(lambda x: sum(x.isnull()),axis=0)

here is the notebook


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