Pandas DataFrame add_suffix() Method
Example
Insert "_data" after each column label:
import pandas as pd
data = {
"age": [50, 40, 30, 40, 20,
10, 30],
"qualified": [True, False, False, False, False, True,
True]
}
df =
pd.DataFrame(data)
newdf = df.add_suffix("_after")
Try it Yourself »
Definition and Usage
The add_suffix()
method inserts the
specified value at the end of each column label.
To add a value before the column label, use the
add_prefix()
method.
Syntax
dataframe.suffix(prefix)
Parameters
Parameter | Description |
---|---|
prefix | Required. A string to add after the column labels |
Return Value
A DataFrame with the result.
This method does not change the original DataFrame.
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