Issue
I am trying to do a naive Bayes and after loading some data into a dataframe in Pandas, the describe function captures the data I want. I'd like to capture the mean and std from each column of the table but am unsure on how to do that. I've tried things like:
df.describe([mean])
df.describe(['mean'])
df.describe().mean
None are working. I was able to do something similar in R with summary but don't know how to do in Python. Can someone lend some advice?
Solution
Please try something like this:
df.describe(include='all').loc['mean']
Answered By - milos.ai
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