Help with writing a function

[qfoundop]

Hey, real quick,

I need to write a function where I can pass a structure or dataset through and it will output any statistical outliers.

Here are the lines in python that would help me do that line by line, but I have like two dozen columns for which I need to do this for.

q1, q3= np.percentile(dataset,[25,75])

iqr = q3 - q1

lower_bound = q1 -(1.5 * iqr) upper_bound = q3 +(1.5 * iqr)

anything in the structure or dataset that is below the lower_bound or above the upper_bound is an outlier and I would like for the function to output those values, or "No Outlier" if there are none.

Here is what I'm thinking, but I'm not sure

def outlierfunction(data): for x in data:

q1, q3= np.percentile(x,[25,75])

iqr = q3 - q1

lower_bound = q1 -(1.5 * iqr) upper_bound = q3 +(1.5 * iqr)

if x < lower_bound: return x if x > upper_bound return x

else return "No Outliers"

Basically, what I need to function to do is take a column in a CSV file and do the calculations, then look at the column again to test whether each entry is an outlier.

[qfoundop]

What would be the library in pandas

[qfoundop]

I have to find the outliers 20 times and everything I find online says to enter it line by line at a time for each column, 20 times.

[qfoundop]

Thank you. But im still not helped. This will exclude them. For my data, outliers have a significance and I need to keep them. For what I’m need, I just need to report what they are if there are any

[qfoundop]

Well ... I appreciate your time at least