pandas remove nan values code example

Example 1: remove nan from list python

cleanedList = [x for x in countries if str(x) != 'nan']

Example 2: remove rows or columns with NaN value

df.dropna()     #drop all rows that have any NaN values
df.dropna(how='all')

Example 3: drop null rows pandas

df.dropna()

Example 4: drop na pandas

>>> df.dropna(subset=['name', 'born'])
       name        toy       born
1    Batman  Batmobile 1940-04-25