how to add three conditions in np.where in pandas dataframe

import numpy as np
idx = np.where((df['Salary_in_1000']>=100) & (df['Age']< 60) & (df['FT_Team'].str.startswith('S')))

Here is what the above code is Doing:
1. We are using the np.where() function to return the indices of the rows that meet the criteria.
2. The criteria is that the Salary_in_1000 column is greater than or equal to 100, the Age column is less than 60, and the FT_Team column starts with the letter 'S'.
3. The np.where() function returns a tuple of row indices, which is why we only need one index value to access each row.