How to use the Map Method for Single Column In Python
Values in a particular column can be changed using the map() method in conjunction with a dictionary. For targeted replacements inside a single series, this method works well.
Using the map method for a dictionary (replacement_dict) to replace values in column ‘A’ (1 with ‘one’, 2 with ‘two’, and 3 with ‘three’
import pandas as pd
data = {'A': [1, 2, 3]}
df = pd.DataFrame(data)
print("Before Replacing:\n", df)
df['A'] = df['A'].map({1: 'one', 2: 'two', 3: 'three'})
print("After Replacing:\n", df)
Output:
Before Replacing:
A
0 1
1 2
2 3
After Replacing:
A
0 one
1 two
2 three
Pandas Replace Multiple Values in Python
Replacing multiple values in a Pandas DataFrame or Series is a common operation in data manipulation tasks. Pandas provides several versatile methods for achieving this, allowing you to seamlessly replace specific values with desired alternatives. In this context, we will explore various approaches to replace multiple values in Python using Pandas.