drop if nan in column pandas
df = df[df['EPS'].notna()]
drop na pandas
>>> df.dropna(subset=['name', 'born'])
name toy born
1 Batman Batmobile 1940-04-25
dropping nan in pandas dataframe
df.dropna(subset=['name', 'born'])
remove rows or columns with NaN value
df.dropna() #drop all rows that have any NaN values
df.dropna(how='all')
remove nan particular column pandas
df=df.dropna(subset=['columnname])
drop columns with nan pandas
>>> df.dropna(axis='columns')
name
0 Alfred
1 Batman
2 Catwoman