Getting Familiar With lambda Functions

Sometimes we need to put some conditions on the indices. In these cases, you need to use a lambda function inside iloc[].

Let's figure out what we can do using lambda:

python

This code will output the first five rows of the dataset, the rows with the indices 0, 1, 2, 3, and 4.

lambda x - x is the argument we will work with (the item of the data set);
x.index - extracts only values of rows' indices;
x.index < 5 - the condition according to which we will extract data. Here, only rows with indices that are less than 5.

Opgave

Swipe to start coding

Your task here is to divide data into two groups: one has odd indices and the other even. Follow the algorithm:

Import the pandas library with the pd alias.
Read the csv file.
Extract only rows with even indices:
- Apply the .iloc[] attribute to the data;
- Within the .iloc[] attribute, apply the lambda function with the x argument;
- Set a condition to check if the number is even (if you do not know how to do this, check the hint).
Extract only rows with odd indices:
- Apply the .iloc[] attribute to the data;
- Within the .iloc[] attribute, apply the lambda function with the x argument;
- Set a condition to check if the number is odd (if you do not know how to do this, check the hint).
Output data:
- Output the first five rows of the even indices;
- Output the last five rows of the odd indices.

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Sektion 1. Kapitel 5

Sometimes we need to put some conditions on the indices. In these cases, you need to use a lambda function inside iloc[].

Let's figure out what we can do using lambda:

python

This code will output the first five rows of the dataset, the rows with the indices 0, 1, 2, 3, and 4.

lambda x - x is the argument we will work with (the item of the data set);
x.index - extracts only values of rows' indices;
x.index < 5 - the condition according to which we will extract data. Here, only rows with indices that are less than 5.

Opgave

Swipe to start coding

Your task here is to divide data into two groups: one has odd indices and the other even. Follow the algorithm:

Import the pandas library with the pd alias.
Read the csv file.
Extract only rows with even indices:
- Apply the .iloc[] attribute to the data;
- Within the .iloc[] attribute, apply the lambda function with the x argument;
- Set a condition to check if the number is even (if you do not know how to do this, check the hint).
Extract only rows with odd indices:
- Apply the .iloc[] attribute to the data;
- Within the .iloc[] attribute, apply the lambda function with the x argument;
- Set a condition to check if the number is odd (if you do not know how to do this, check the hint).
Output data:
- Output the first five rows of the even indices;
- Output the last five rows of the odd indices.

Skift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder

Var alt klart?

Tak for dine kommentarer!

Sektion 1. Kapitel 5

Skift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder