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

1 vote185 views1 answer
How to use regex in a list
Python
2 votes196 views1 answer
Pywebcopy
Python
0 vote184 views1 answer
Load png to python
Python
-4 votes180 views10 answers
Cheat sheet python
Python
0 vote182 views1 answer
Reading json without using relative path in django
Python
21 votes181 views1 answer
Jupyter ignore warnings
Python
0 vote168 views1 answer
Strip array of strings python
Python
0 vote196 views1 answer
Keras relu layer
Python
1 vote170 views1 answer
Control tello drone with python
Python
0 vote180 views1 answer
Pandas read csv with lists
Python