how to drop all rows with nan in pandas code example

Example 1: drop if nan in column pandas

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

Example 2: drop column with nan values

fish_frame = fish_frame.dropna(axis = 1, how = 'all')

Example 3: drop na in pandas

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

Example 4: dropna threshold

#dropping columns having more than 50% missing values(1994/2==1000)
df=df.dropna(thresh=1000,axis=1)