Adding a column thats result of difference in consecutive rows in pandas

Question

Lets say I have a dataframe like this

    A   B
0   a   b
1   c   d
2   e   f 
3   g   h

0,1,2,3 are times, a, c, e, g is one time series a

Answer 1

Rolling differences can also be calculated this way:

df=pd.DataFrame(my_data)
my_data = pd.read_csv('sales_data.csv')
i=0
j=1
while j < len(df['Target_column']):
    j=df['Target_column'][i+1] - df['Target_column'][i] #the difference btwn two values in a column.
    i+=1 #move to the next value in the column.
    j+=1 #next value in the new column.
    print(j)