Test your knowledge on pandas groupby with this quiz
Quiz on Group By
Refer to this Dataset to solve Quiz
Fill in the blanks by drag and drop operation in right spot
pandas
pd
“Name”
[20, 21, 19, 15, 25, 35, 20]
[‘Tom’, ‘Nick’,’Tom’, ‘John’,’Nick’,’Tom’, ‘John’]
Python
import as
df = pd.DataFrame({'Name': , 'Bill': })
df_grouped = df.groupby( ).sum()
df_grouped
Output:
Bill
Name
John 35
Nick 46
Tom 74Aggregate
“City, Age”
mean
df = pd.DataFrame({'Name': ['Tom', 'Nick', 'John'], 'Age': [20, 21, 19], 'City': ['NY', 'NY', 'CH']})
df.groupby([ ])['Age']. ().sum()
Output:
60Pivot
Age
Name
Year
df = pd.DataFrame({'Name': ['Tom', 'Nick', 'John'], 'Age': [20, 21, 19], 'City': ['NY', 'NY', 'CH'], 'Year': [2020, 2021, 2022]})
df.pivot_table(values=" ", index=" ", columns=" ")
Output:
Name John Nick Tom
Year
2020 NaN NaN 20.0
2021 NaN 21.0 NaN
2022 19.0 NaN NaNGroup By Multi Columns
“Name”
“City”
df = pd.DataFrame({'Name': ['Tom', 'Nick', 'John'], 'Age': [20, 21, 19], 'City': ['NY', 'NY', 'CH'], 'Sales': [100, 200, 300]})
df.groupby([ , ]).sum()
Output:
Age Sales
Name City
John CH 19 300
Nick NY 21 200
Tom NY 20 100Filter Group By
Name
mean
df = pd.DataFrame({'Name': ['Tom', 'Nick', 'John'], 'Age': [20, 17, 19]})
df.groupby(" ").filter(lambda x: x["Age"]. () > 18)
Output:
Name Age
0 Tom 20
2 John 19Learn Python The Fun Way
What if we learn topics in a desirable way!! What if we learn to write Python codes from gamers data !!
Meet the most efficient and intelligent AI assistant : NotebookLM
Start using NotebookLM today and embark on a smarter, more efficient learning journey!
ANCOVA: Analysis of Covariance with python
ANCOVA is an extension of ANOVA (Analysis of Variance) that combines blocks of regression analysis and ANOVA. Which makes it Analysis of Covariance.
Break the ice
This can be a super guide for you to start and excel in your data science career.
Diffusion Models: Making AI Creativity
Stable Diffusion Models: Where Art and AI Collide Artificial Intelligence meets creativity in the fascinating realm of Stable Diffusion Models. These innovative models take text descriptions and bring them to life in the form of detailed and realistic images. Let’s embark on a journey to understand the magic behind Stable Diffusion in a way that’s…
Quiz Challenge: Basics with Python [Questions]
Solve These Questions in Following Challange
Introducing Plethora of Stable Diffusion models: Part 1
Generate AI images as good as DALL-E completely offline.
Understanding Demand Forecasting and Addressing Common Challenges
Are demand forecasting truly predictable? Or are they changing randomly?
The Realistic though Dramatic story of AI Superstar
Let’s enjoy the highly interesting story of Tech Superstar chronologically.
Start Your Python Journey from Scratch
starting your Python journey from scratch is a fantastic endeavour.
5 ways to Improve yourself as a Technical Professional
Try learning a topic from basic > if not understood, ask somebody>
10 Ways To Stay Excellent When Exams Are Near
A friendly guide what every computer science student should have when exams are coming
2 responses to “Quiz on Group By”
solved the problems
Nice
Points You Earned
0 distinction_points
python_points 0
0 Solver points
Leave a Reply
You must be logged in to post a comment.