Answers for "pandas drop na rows based on column"

Python

drop if nan in column pandas

df = df[df['EPS'].notna()]

Posted by: Guest on March-17-2020

drop null rows pandas

df.dropna()

Posted by: Guest on June-15-2020

Source

drop_na in pandas

# importing pandas module
import pandas as pd
  
# making data frame from csv file
data = pd.read_csv("nba.csv")
  
# making new data frame with dropped NA values
new_data = data.dropna(axis = 0, how ='any')

Posted by: Guest on June-06-2021

Source

clean nas from column pandas

>>> df.dropna()
     name        toy       born
1  Batman  Batmobile 1940-04-25

Posted by: Guest on April-09-2020

Source

drop na in pandas

>>> df.dropna(subset=['name', 'born'])
       name        toy       born
1    Batman  Batmobile 1940-04-25

Posted by: Guest on January-04-2020

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