Normalize weekly data - Python I have a weekly dataset and I have to normalize this data. 
Data is something like this : 

1. week   50
2. week   51
3. week   50
4. week   54
5. week   150
6. week   155
7. week   ...


The important thing is, the difference between week 3 and week 4 (50-54) is not same with week 5 and week 6. And also there is a huge different between week 4 and week 5. 

My question is how can i handle all of this things ?

Is the standard normalization functions(for example scikit normalization) can do it for me and should I normalize this data 0-1 or -1 to 1 ? 

Sklearn normalization page

NOTE I am working with python and generally scikit-learn library.

Any help is appreciated.
I would find the unit variance of the all the weeks and then divide by that. Scikit can do this for you using scale.