Examples

import numpy as np
import pandas as pd

df = pd.DataFrame({'cost': [350, 250, 200],
                   'revenue': [200, 350, 400]},
                  index=['M', 'N', 'O'])
df

	cost	revenue
M	350	200
N	250	350
O	200	400

Comparison with a scalar, using either the operator or method:

df == 200

	cost	revenue
M	False	True
N	False	False
O	True	False

df.eq(200)

	cost	revenue
M	False	True
N	False	False
O	True	False

When comparing to an arbitrary sequence, the number of columns must match the number
elements in other:

df == [350, 200]

	cost	revenue
M	True	True
N	False	False
O	False	False

Use the method to control the axis:

df.eq([350, 350, 200], axis='index')

	cost	revenue
M	True	False
N	False	True
O	True	False