how to access a specific data in two columns using if and statement

Question

My Data Frame

My Code:

a = 10001
b = "01.01.2001"
if a == np.any(df["Token_ID"]) and b == np.any(df["Date_of_birth"]):
     print("yes")
else:
     print("no")

The above code works for only the first row in the data frame. If I provide a = 10012 and b = "01.01.2012" then it prints no. can anyone explain this?

Thank You.

Mismatched Data

a = 10011
b = "01.01.2001"
if (a in df["Token_ID"].values) and (b in df["Date_of_birth"].values):
    print("yes")
else:
    print("no")

What I am trying to do is if both values matched then it will print the remaining columns except these two columns from the dataframe

Answer 1

The current code compares a value with all values Token_ID column which results a column of True and False values and the same with b value with values of Date_of_birth column. Then, you put and operator between two boolean columns.

How to correct the current version: You should use & and any operator.

if any((a == df["Token_ID"]) & (b == df["Date_of_birth"])):