pandas dropna specific column 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 columns with nan pandas

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

Example 4: drop na pandas

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

Example 5: Returns a new DataFrame omitting rows with null values

# Returns a new DataFrame omitting rows with null values

df4.na.drop().show()
# +---+------+-----+
# |age|height| name|
# +---+------+-----+
# | 10|    80|Alice|
# +---+------+-----+

Example 6: dropna for specific column pandas

df = df[df['EPS'].notna()] #instead of dropping, take another DF with non-na values