# pandas normalize groupby

df.groupby('indx').transform(lambda x: (x - x.mean()) / x.std())

**Here is what the above code is Doing:**

1. Grouping the dataframe by the ‘indx’ column

2. Applying a lambda function to each group

3. The lambda function takes the group as input and returns a transformed version of the group

4. The transformed version of the group is the group itself, but with the mean and standard deviation subtracted from each value