drop rows where specific column has null values

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Yannik
09 Jan 2021
1df = df[df['EPS'].notna()]
2
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Juline
19 Mar 2016
1In [30]: df.dropna(subset=[1])   #Drop only if NaN in specific column (as asked in the question)
2Out[30]:
3          0         1         2
41  2.677677 -1.466923 -0.750366
52       NaN  0.798002 -0.906038
63  0.672201  0.964789       NaN
75 -1.250970  0.030561 -2.678622
86       NaN  1.036043       NaN
97  0.049896 -0.308003  0.823295
109 -0.310130  0.078891       NaN
11
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