Site icon DataFlair

Handling Missing Data in Pandas

Get Job-Ready: Data Analysis using Python with 70+ Projects Start Now!!

Program 1

Pandas Dataset 1

Pandas Dataset 2

# Missing Values
import pandas as pd
myfile="D://mypandas/employee1.xlsx"
df=pd.read_excel(myfile)
print(df[['empname','TA']].dropna())


# print("Before")
# print(df) 
# print("After")
# df=df.dropna()
# print(df) 
# df.to_excel("D://mypandas/empnomissing.xlsx")
# print("----------------Success------------")

# print("Before")
# print(df) 
# df.fillna(0,inplace=True)
# print("After")
# print(df)

 

 

Exit mobile version