"drop na" Code Answer's
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remove rows or columns with NaN value
df.dropna() #drop all rows that have any NaN values
df.dropna(how='all')
Source: stackoverflow.com
dropping nan in pandas dataframe
df.dropna(subset=['name', 'born'])
Source: pandas.pydata.org
drop na pandas
>>> df.dropna(subset=['name', 'born'])
name toy born
1 Batman Batmobile 1940-04-25
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