pandas drop row with nan

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Kieran
03 Jul 2020
1df = df[df['EPS'].notna()]
source
Carl
23 Jan 2017
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
source
Lorena
13 Aug 2019
1df.dropna(subset=['name', 'born'])
source
Elisa
20 Jan 2019
1fish_frame = fish_frame.dropna(axis = 1, how = 'all')
source
Sofia
24 Apr 2019
1df = df[df['my_var'].notna()]
source
Elea
28 Aug 2016
1>>> df.dropna(axis='columns')
2       name
30    Alfred
41    Batman
52  Catwoman
6
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