pandas drop if all columns are nan code example

Example 1: drop if nan in column pandas

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

Example 2: remove rows or columns with NaN value

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

Example 3: drop null rows pandas

df.dropna()

Example 4: drop columns with nan pandas

>>> df.dropna(axis='columns')
       name
0    Alfred
1    Batman
2  Catwoman

Example 5: drop column with nan values

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