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-xis 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 than5.
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
pandaslibrary with thepdalias. - Read the csv file.
- Extract only rows with even indices:
- Apply the
.iloc[]attribute to thedata; - Within the
.iloc[]attribute, apply thelambdafunction with thexargument; - Set a condition to check if the number is even (if you do not know how to do this, check the hint).
- Apply the
- Extract only rows with odd indices:
- Apply the
.iloc[]attribute to thedata; - Within the
.iloc[]attribute, apply thelambdafunction with thexargument; - Set a condition to check if the number is odd (if you do not know how to do this, check the hint).
- Apply the
- Output data:
- Output the first five rows of the
evenindices; - Output the last five rows of the
oddindices.
- Output the first five rows of the
Oplossing
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Completion rate improved to 3.03Getting Familiar With lambda Functions
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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-xis 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 than5.
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
pandaslibrary with thepdalias. - Read the csv file.
- Extract only rows with even indices:
- Apply the
.iloc[]attribute to thedata; - Within the
.iloc[]attribute, apply thelambdafunction with thexargument; - Set a condition to check if the number is even (if you do not know how to do this, check the hint).
- Apply the
- Extract only rows with odd indices:
- Apply the
.iloc[]attribute to thedata; - Within the
.iloc[]attribute, apply thelambdafunction with thexargument; - Set a condition to check if the number is odd (if you do not know how to do this, check the hint).
- Apply the
- Output data:
- Output the first five rows of the
evenindices; - Output the last five rows of the
oddindices.
- Output the first five rows of the
Oplossing
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Completion rate improved to 3.03single
