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.
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