python-pandasHow to change nan values to none

Usage example

import pandas as pd
import numpy as np

phoneDataSet = {
  'Phone': ['iPhone 5', 'iPhone 6', 'iPhone8', 'Galaxy S9', 'Galaxy Note 10'],
  'Phone ID.': [12, 9, np.nan, 78, np.nan],
  'Phone Price': [204, np.nan, 501, 800, np.nan]
}

data = pd.DataFrame(phoneDataSet)
data = data.replace(np.nan, None)

print(data)

output

            Phone  Phone ID.  Phone Price
0        iPhone 5       12.0        204.0
1        iPhone 6        9.0        204.0
2         iPhone8        9.0        501.0
3       Galaxy S9       78.0        800.0
4  Galaxy Note 10       78.0        800.0