how to do power transformation in pandas dataframe

1from sklearn.preprocessing import PowerTransformer
2# power transform the raw data
3power = PowerTransformer(method='yeo-johnson', standardize=True)
4data_trans = power.fit_transform(data)
5
6
7========================ADDITIONAL INFORMATION==================================
8## Few Important things to keep in mind
9There are two popular approaches(method) for such automatic power transforms;
10* method='box-cox' 
11	It is a power transform that assumes the values of the input variable
12    to which it is applied are strictly positive. That means 0 and negative
13    values are not supported.
14* method='yeo-johnson'
15	Unlike the Box-Cox transform, it does not require the values
16    for each input variable to be strictly positive. It supports
17    zero values and negative values. This means we can apply it to
18    our dataset without scaling it first.