remove a rows in which three column has nan code example

Example 1: remove rows or columns with NaN value

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

Example 2: python remove nan rows

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

Example 3: remove a rows in which three column has nan

df.dropna(subset=['col1', 'col2', 'col3', 'col4', 'col5', 'col6'], how='all', inplace=True)