top of page
learn_data_science.jpg

Data Scientist Program

 

Free Online Data Science Training for Complete Beginners.
 


No prior coding knowledge required!

Writer's picturestella tchoutcha

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)
8

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)
print(square)

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




0 comments

Recent Posts

See All

Comentarios


bottom of page