Drop if nan in column pandas

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

Pandas drop rows with nan in a particular column

In [30]: df.dropna(subset=[1])   #Drop only if NaN in specific column (as asked in the question)
Out[30]:
          0         1         2
1  2.677677 -1.466923 -0.750366
2       NaN  0.798002 -0.906038
3  0.672201  0.964789       NaN
5 -1.250970  0.030561 -2.678622
6       NaN  1.036043       NaN
7  0.049896 -0.308003  0.823295
9 -0.310130  0.078891       NaN

Source: stackoverflow.com

Similar codes

0 vote207 views1 answer
Logarithmic scale fitting python
Python
0 vote182 views1 answer
"get_or_create" takes 1 positional argument but 2 were given
Python
0 vote175 views1 answer
Distance matrix gogle map python
Python
0 vote181 views1 answer
Read text file line by line using the readline() function
Python
7 votes183 views1 answer
Converting capital letters to lowercase and viceversa in python
Python
0 vote169 views1 answer
Import folder from another folder python
Python
0 vote157 views1 answer
Close python window after execution
Python
2 votes205 views1 answer
What happen when we apply * before list in python
Python
1 vote182 views2 answers
AttributeError: module 'yaml' has no attribute 'load_all'
Python
0 vote197 views1 answer
CACHE_TYPE flask
Python