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

2 votes245 views2 answers
How to split a list to 1000 items python
Python
0 vote257 views1 answer
Python vergleichsoperatoren
Python
94 votes257 views5 answers
How to rename columns using panda object
Python
0 vote243 views2 answers
Enumerate word python
Python
2 votes233 views1 answer
Give a function a name python
Python
114 votes258 views6 answers
Python pip install
Python
0 vote251 views1 answer
How to Create new dataframe columns from existing column
Python
0 vote243 views1 answer
Python del var if exists
Python
0 vote234 views2 answers
Python open excel application
Python
50 votes210 views1 answer
Append to the start of a list python
Python