remove nan in pandas code example

Example 1: remove nan from list python

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

Example 2: drop if nan in column pandas

df = df[df['EPS'].notna()]

Example 3: remove rows or columns with NaN value

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

Example 4: dropping nan in pandas dataframe

df.dropna(subset=['name', 'born'])

Example 5: drop columns with nan pandas

>>> df.dropna(axis='columns')
       name
0    Alfred
1    Batman
2  Catwoman

Example 6: drop na pandas

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

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