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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:

data.iloc[lambda x: x.index < 5]

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.

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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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