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 vote376 views1 answer
Bash: line 1: templates/addtask.html: No such file or directory in flask app
Python Flask
0 vote250 views3 answers
Django add user to group
Python
2 votes321 views1 answer
Django static media
Python Django
0 vote297 views1 answer
List to dict python with same values
Python
16 votes253 views5 answers
Convert pandas dataframe/ table to python dictionary
Python
3 votes252 views2 answers
Pen down python turtle
Python
0 vote270 views1 answer
Waitkey in python
Python
0 vote264 views1 answer
Python replace accented characters code
Python
0 vote303 views1 answer
TypeError: Direct assignment to the forward side of a many-to-many set is prohibited. Use .set() instead
Python
2 votes278 views1 answer
Get statistics from list python
Python