fillna with mean pandas code example

Example 1: fill missing values in column pandas with mean

df.fillna(df.mean(), inplace=True)

Example 2: fillna with mean pandas

sub2['income'].fillna((sub2['income'].mean()), inplace=True)

Example 3: dataframe fillna with 0

df['column'] = df['column'].fillna(0)

Example 4: 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)

Example 5: how to fill nan values with mean in pandas

df.fillna(df.mean())

Example 6: fillna pandas inplace

When inplace = True , the data is modified in place, which means it will return nothing and the dataframe is now updated. When inplace = False , which is the default, then the operation is performed and it returns a copy of the object. You then need to save it to something.

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