Pandas DataFrame pipe() Method
Example
Apply a function to the DataFrame that will overwrite the "age" column:
import pandas as pd
def change_age(x):
x["age"]=[10, 20,
30]
return x
data = {
"name": ["Sally", "Mary",
"John"],
"age": [50, 40, 30]
}
df = pd.DataFrame(data)
df.pipe(change_age)
print(df)
Try it Yourself »
Definition and Usage
The pipe() method allows you to apply one or
more functions to the DataFrame object.
Syntax
dataframe.pipe(func, args, kwargs)
Parameters
| Parameter | Description |
|---|---|
| func | Required. A function to apply to the DataFrame. |
| args | Optional, An iterable object with positional arguments that can be used in the function |
| kwargs | Optional. A dictionary with keyword arguments that can be used in the function |
Return Value
A DataFrame object.
This function makes changes to the original DataFrame object.
