CODEWITHSUNDEEP
pythonpandasnumpy
ARJ
ARJ

Reputation: 2080

How to convert log2 scale to normal scale in pandas

How to convert log2 transformed values back to normal scale in python Any suggestions would be great

Upvotes: 1

Views: 2158

Answers (1)

Hadley Is My Hero
Hadley Is My Hero

Reputation: 101

log2(x) is the inverse of 2**x (2 to the power of x). If you have a column of data that has been transformed by log2(x), all you have to do is perform the inverse operation:

df['colname'] = [2**i for i in df['colname']]

As suggested in the comment below, it would be more efficient to do:

df['colname'] = df['colname'].rpow(2)

rpow is a pandas Series method that is built in to the pandas package. The first argument is the base you'd like to take powers to. You can also use a fill_value argument, which is nice because you can tell it what to do if the result is NaN

Upvotes: 2

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