dROP all rows with nan pandas code example

Example 1: drop if nan in column pandas

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

Example 2: how to remove rows with nan in pandas

df.dropna(subset=[columns],inplace=True)

Example 3: how to filter out all NaN values in pandas df

#return a subset of the dataframe where the column name value != NaN 
df.loc[df['column name'].isnull() == False]

Example 4: remove rows or columns with NaN value

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

Example 5: dropping nan in pandas dataframe

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

Example 6: drop na pandas

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