Single column to multiple columns with columns as heading and fill with binary values

Question

Given column in the csv file

labels    

['N']    

['C']   

['D']   

['A']   

['D','C']   

['H']   

['D','G']

['M']       

['O']   

I want the labels as separate column headers and fill them with binary values. and there are total 8 labels which is N,D,G,C,A,H,M,O .The code I have written is as shown below contains problem that each label even if it is in this form ['D','G'] is considered as separate column

Code snippet given below:

df = (df.pivot(index="ID",columns="labels", values='target')
            .rename_axis(None, axis=1)
            .reset_index())

Expected Output:

|N| D| G| C| A| H| M| O|

|1 |0 |0 |0 |0 |0 |0| 0|

|0| 0| 1| 0| 0| 0| 0|0|

These output are for the first 2 rows given above Also add these new columns in the same csv file . Thanks in advance