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Drop column that are all nan pandas

Code examples

3
0

how to delete nan values in python 

x = x[~numpy.isnan(x)]
0
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pandas drop row with nan 

import pandas as pd

df = pd.DataFrame({'values_1': ['700','ABC','500','XYZ','1200'],
                   'values_2': ['DDD','150','350','400','5000'] 
                   })

df = df.apply (pd.to_numeric, errors='coerce')
df = df.dropna()
df = df.reset_index(drop=True)

print (df)

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