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 19Break the ice
This can be a super guide for you to start and excel in your data science career.
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.
Learn 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!
Navigating the World of Numbers in Python: A Beginner’s Odyssey
This article will walk you through the different data types of numbers.
Unlocking the Power of TF-IDF with Python
TF-IDF method belongs to domain of information retrieval,
Python Operators: The Building Blocks of Code
Python has several types of operators. Mathematical, Assignment, Comparison, Logical, Identity, Membership, Bitwise operators.
Variables in python
If a software language is easy in terms of declaring variables, then consider that half of the time and efforts are saved. Python is one of the easiest and convenient languages for declaring variables.”
Unlocking the Power of Variables in Python: A Beginner’s Guide
If a software language is easy in terms of declaring variables, then consider that half of the time and effort are saved. Python is one of the easiest and most convenient languages for declaring variables.
Build a personalised chatbot with python nltk
Chatbots are a necessity of the current IT era. Chatbots offer visitors round-the-clock customer service.
Quiz on NLP
Improve your analytical skills by practicing the following tasks
Sentiment Analysis Quiz
Improve your analytical skills by practicing the following tasks
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.