drop rows where all values are nan code example

Example 1: drop if nan in column pandas

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

Example 2: drop na pandas

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

Example 3: remove all rows where one ccolumns egale to nan

#remove in dataframe but no in the file
df = df[df['column'].notna()]

#remove in dataframe and in the file
df.dropna(subset=['EPS'], how='all', inplace=True)

Example 4: python remove nan rows

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