remove nan particular column pandas

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Emily
12 Apr 2017
1# if you want to delete rows containing NA values
2df.dropna(inplace=True)
source
Vanessa
27 May 2020
1import pandas as pd
2
3df = pd.DataFrame({'values_1': ['700','ABC','500','XYZ','1200'],
4                   'values_2': ['DDD','150','350','400','5000'] 
5                   })
6
7df = df.apply (pd.to_numeric, errors='coerce')
8df = df.dropna()
9df = df.reset_index(drop=True)
10
11print (df)
12
Alice
21 May 2016
1df.dropna(subset=[columns],inplace=True)
Lukas
16 Oct 2019
1 df=df.dropna(subset=['columnname])
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