Communities

Writing
Writing
Codidact Meta
Codidact Meta
The Great Outdoors
The Great Outdoors
Photography & Video
Photography & Video
Scientific Speculation
Scientific Speculation
Cooking
Cooking
Electrical Engineering
Electrical Engineering
Judaism
Judaism
Languages & Linguistics
Languages & Linguistics
Software Development
Software Development
Mathematics
Mathematics
Christianity
Christianity
Code Golf
Code Golf
Music
Music
Physics
Physics
Linux Systems
Linux Systems
Power Users
Power Users
Tabletop RPGs
Tabletop RPGs
Community Proposals
Community Proposals
tag:snake search within a tag
answers:0 unanswered questions
user:xxxx search by author id
score:0.5 posts with 0.5+ score
"snake oil" exact phrase
votes:4 posts with 4+ votes
created:<1w created < 1 week ago
post_type:xxxx type of post
Search help
Notifications
Mark all as read See all your notifications »
Q&A

Welcome to Software Development on Codidact!

Will you help us build our independent community of developers helping developers? We're small and trying to grow. We welcome questions about all aspects of software development, from design to code to QA and more. Got questions? Got answers? Got code you'd like someone to review? Please join us.

Built-in way to compute coefficient of variation in pandas

+0
−3

Background

The coefficient of variation is:

defined as the ratio of the standard deviation to the mean

Question

Is there a built-in function for this?

Tried

I know I can do df.std() / df.mean().

History
Why does this post require attention from curators or moderators?
You might want to add some details to your flag.
Why should this post be closed?

1 comment thread

Why do you need a built in function? (1 comment)

1 answer

+2
−0

There's very little information to go off of here but to me the built-in function you need is division which is already built in to any language. Unless you are unable to use df.std() / df.mean() for one reason or another, you could make a simple function yourself that divides the two numbers and returns the answer.

History
Why does this post require attention from curators or moderators?
You might want to add some details to your flag.

1 comment thread

Built-in to pandas. Pandas tends to be feature complete with respect to R. [Here is the function docu... (2 comments)

Sign up to answer this question »