/Python/Pandas drop rows with null in specific column

Pandas drop rows with null in specific column

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

Pandas drop rows with null in specific column

df.dropna(subset=['Column name'])

Similar codes

7 votes225 views1 answer
How to get user input of list in python
Python
0 vote191 views1 answer
Gene wilder pure imagination
Python
0 vote203 views1 answer
Program for length of the shortest word
Python
1 vote258 views1 answer
Flask authentication user without database
Python Flask
2 votes196 views1 answer
How to open incognito tab using webbrowser
Python
0 vote201 views1 answer
Plt.imshow typeerror invalid dimensions for image data
Python
0 vote187 views1 answer
Replace \u00a0
Python
0 vote199 views10 answers
Python pygeoip example
Python
1 vote187 views1 answer
Control tello drone with python
Python
0 vote240 views3 answers
Flask socketio with gevent
Python Flask