有没有办法根据现有列的当前和前一行值在每行的新列中分配增量值的数量？

Question

I have a dataframe, df and I want to add incremental ID number in a new column based on current and previous row of another column.

data = [{'X': 6, 'Y': 1}, {'X': 6, 'Y': 1}, {'X': 7, 'Y': 0}, {'X': 7, 'Y': 0},
        {'X': 6, 'Y': 1}, {'X': 7, 'Y': 1}, {'X': 7, 'Y': 0}, {'X': 7, 'Y': 1} ] 

df = pd.DataFrame(data)

Now this is the condition,

if Current X = Previous X & Current Y <> Previous Y,

Then ID_Number = New Incremented Number

OR

if Current X <> Previous X & Current Y = Previous Y,

Then ID_Number = New Incremented Number

OR

if Current X = Previous X & Current Y = Previous Y,

Then ID_Number = Same as Previous ID_Number

OR

if Current X <> Previous X & Current Y <> Previous Y,

Then ID_Number = New Incremented Number

Input Dataframe will be look like this

enter image description here

My expectation Output is this

enter image description here

Answer 1

Look a this snippet, don't forget to handle the first item. copy paste from ipython.

In [10]: id_ =1  
In [11]: for first, second in zip(data, data[1:]): 
    ...:     if first != second: 
    ...:         id_ += 1 
    ...:     print(f'{id_} {second}') 
    ...:      
    ...:                              

see itertools module for more.