Answers for "should we drop nan values"

1

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)
Posted by: Guest on February-16-2021
0

drop column with nan values

fish_frame = fish_frame.dropna(axis = 1, how = 'all')
Posted by: Guest on August-27-2020

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