pandas replace nan
data["Gender"].fillna("No Gender", inplace = True)
pandas replace nan
data["Gender"].fillna("No Gender", inplace = True)
fillna with mean pandas
sub2['income'].fillna((sub2['income'].mean()), inplace=True)
python pandas fillna
# importing pandas module
import pandas as pd
# making data frame from csv file
nba = pd.read_csv("nba.csv")
# replacing na values in college with No college
nba["College"].fillna("No College", inplace = True)
# OR
nba.College.fillna("No College", inplace = True)
print(nba)
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