How does a lambda function work in Pandas?
How does a lambda function work in Pandas
Recipe Objective
Suppose we wish to perform any operation on row or column of dataset. Now we can do it through a loop or set up a lambda function for the same.
So this recipe is a short example on How does a lambda function work in Pandas. Let's get started.
Step 1 - Import the library
import pandas as pd
import seaborn as sb
Let's pause and look at these imports. Pandas is generally used for performing mathematical operation and preferably over arrays. Seaborn will help us in importing dataset.
Step 2 - Setup the Data
df = sb.load_dataset('tips')
print(df.head())
Here we have imported datset from seaborn library.
Now, our dataset is ready.
Step 3 - Applying lambda function
df = df.assign(Percentage = lambda x: (x['tip'] /x['total_bill'] * 100))
print(df.head())
Now we are creating a newcolumn of percentage as tip vs total bill.
Step 4 - Let's look at our dataset now
Once we run the above code snippet, we will see:
Scroll down the ipython file to visualize the final output.
We can see a new column of Percentage being created with the formula as mentioned above.
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Ed Godalle
Director Data Analytics at EY / EY Tech
I am the Director of Data Analytics with over 10+ years of IT experience. I have a background in SQL, Python, and Big Data working with Accenture, IBM, and Infosys. I am looking to enhance my skills... Read More
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