Subtracting data in a row based on similar values in a different column

I have sample of a much larger dataframe here:

import pandas as pd

data = {'Name': [27, 27, 30, 30, 43, 43, 50, 62, 62],
        'Time': [10, 30, 23.4, 28.6, 10, 15, 20, 25, 50]}

df = pd.DataFrame(data)

I want to be able to create a new column or a new dataframe that is able to subtract the Time values for each of the same numbers in the Name column.

Expected Outcome:

Name      Time Bucket
27            20
30            5.2
43            5
50            20
62            25

I am not too sure how I need to go about this.

>Solution :

Try:

out = df.assign(Time=df.groupby('Name')['Time'].diff().fillna(df['Time'])) \
        .drop_duplicates('Name', keep='last')
print(out)

# Output
   Name  Time
1    27  20.0
3    30   5.2
5    43   5.0
6    50  20.0
8    62  25.0