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Comments on Built-in way to compute coefficient of variation in pandas

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Built-in way to compute coefficient of variation in pandas

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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().

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

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Built-in to pandas. Pandas tends to be feature complete with respect to R. [Here is the function docu... (2 comments)
Built-in to pandas. Pandas tends to be feature complete with respect to R. [Here is the function docu...
young_souvlaki‭ wrote 6 months ago

Built-in to pandas. Pandas tends to be feature complete with respect to R. Here is the function documentation in R.

cuzzo‭ wrote 6 months ago · edited 6 months ago

But to my understanding, all you need to do is divide two numbers together. It looks like pandas has a way to do that with sets here: https://www.tutorialspoint.com/how-does-pandas-series-div-method-work. But if you just need to individually divide 2 numbers I don't see why a utility function wouldn't work.

It seems like if you arnt able to make a division utility function for whatever reason you could use pandas to divide a set of 1 element with another set with 1 element which would return a third set with the quotient of those 2 numbers.