python fillna code example

Example 1: pandas replace nan

data["Gender"].fillna("No Gender", inplace = True)

Example 2: python pandas replace nan with null

df.fillna('', inplace=True)

Example 3: python fillna with mode

data['Native Country'] = data['Native Country'].fillna(data['Native Country'].mode()[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: 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.

Example 6: DataFrame.fillna

>>> df.fillna(0)
    A   B   C   D
0   0.0 2.0 0.0 0
1   3.0 4.0 0.0 1
2   0.0 0.0 0.0 5
3   0.0 3.0 0.0 4