Compare several dataframe columns to list

I have a Dataframe like this (the columns are not side by side):

 Num A Num B Num C Marked
0  213   314   512
1  612   516   713
2  613   678   125
3  163   813   312

And a list like list = [612,813,512,713]

I now want to compare, if a value from the list is present in the dataframe, and mark it with 1, else with 0, so that the output is:

 Num A Num B Num C Marked
0  213   314   512      1
1  612   516   713      1
2  613   678   125      0
3  163   813   312      1

I only found out how to do this with a single column:

import pandas as pd
import numpy as np

path = "path"
wb = pd.ExcelFile(path)
df = wb.parse("Sheet1")

list = [612,813,512,713]

df['Marked'] = df.Num_A.isin.(list).astype(int) 

How can you make this to consider all columns?

Thanks in Advance!

>Solution :

You can use np.isin method to check if numbers in lst exist in df along columns and then convert it to integer value:

df['Marked'] = np.isin(df.values,lst).any(axis=1).astype(int)