Answers for "df.drop nan rows"

25

drop if nan in column pandas

df = df[df['EPS'].notna()]
Posted by: Guest on March-17-2020
4

drop null rows pandas

df.dropna()
Posted by: Guest on June-15-2020
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

Python Answers by Framework

Browse Popular Code Answers by Language