The pandas.Series.replace() method in Pandas

The pandas.Series.replace() function in Python is used to replace values in a pandas.Series object.

Syntax a) Series.replace(value to replace1, Replacement value1)
b) Series.replace({value to replace1: Replacement value1, value to replace 2: Replacement value 2})

Example: Load the csv file data.csv into a dataframe.

Python

# Load Data into Pandas DataFrame
# df = pd.read_csv("file_path")
df = pd.read_csv("data.csv")
df 

The output of the above code is shown below:

Let’s replace the Gender column values Male and Female to 0 and 1 respectively, by using the replace method in Pandas.

Python

df["New Gender"]=df['Gender'].replace({'Male': 0, 'Female': 1})
df     

The output of the above code is shown below: