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How to use the apply() function for a single column in Pandas?
We can use apply() function on a column of a DataFrame with lambda expression.
Steps
Create a two-dimensional, size-mutable, potentially heterogeneous tabular data, df.
Print input DataFrame, df.
Override column x with lambda x: x*2 expression using apply() method.
Print the modified DataFrame.
Example
import pandas as pd df = pd.DataFrame( { "x": [5, 2, 1, 5], "y": [4, 10, 5, 10], "z": [1, 1, 5, 1] } ) print "Input DataFrame is:
", df df['x'] = df['x'].apply(lambda x: x * 2) print "After applying multiplication of 2 DataFrame is:
", df
Output
Input DataFrame is: x y z 0 5 4 1 1 2 10 1 2 1 5 5 3 5 10 1 After applying multiplication of 2 DataFrame is: x y z 0 10 4 1 1 4 10 1 2 2 5 5 3 10 10 1
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