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

5 votes191 views2 answers
Converting decimal to hex in python
Python
0 vote181 views1 answer
Get token from request django
Python
0 vote190 views1 answer
Pillow rgb to grayscale
Python
24 votes219 views2 answers
How to check the type of a variable in python
Python
1 vote268 views1 answer
Flask define template folder
Python Flask
0 vote248 views1 answer
Seaborn create a correlation matrix
Python
1 vote187 views1 answer
Make csv lowercase python
Python
0 vote203 views1 answer
Pandas join two series on index
Python
0 vote187 views1 answer
Pygame image get height
Python
30 votes195 views3 answers
Python read scv
Python