Pandas DataFrame copy() Method

Example

Make a copy of the data frame:

import pandas as pd

data = {
"name": ["Sally", "Mary", "John"],
"qualified": [True, False, False]
}

df = pd.DataFrame(data)

#Make a copy:

newdf = df.copy()

print(newdf)

Try it Yourself »

Definition and Usage

The copy() method returns a copy of the DataFrame.

By default, the copy is a "deep copy" meaning that any changes made in the original DataFrame will NOT be reflected in the copy.

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Note: With the parameter deep=False, it is only the reference to the data (and index) that will be copied, and any changes made in the original will be reflected in the copy, and, any changes made in the copy will be reflected in the original.

Syntax

dataframe.copy(deep)

Parameters

The parameter is a keyword argument.

Parameter Value Description

deep

True|False

Parameter	Value	Description
deep	True\|False	Optional. Default True. Specifies whether to make a deep or a shallow copy. By default (`deep=True`, any changes made in the original DataFrame will NOT be reflected in the copy. With the parameter `deep=False`, it is only the reference to the data (and index) that will be copied, and any changes made in the original will be reflected in the copy, and, any changes made in the copy will be reflected in the original.

Optional. Default True. Specifies whether to make a deep or a shallow copy.

By default (deep=True, any changes made in the original DataFrame will NOT be reflected in the copy.

With the parameter deep=False, it is only the reference to the data (and index) that will be copied, and any changes made in the original will be reflected in the copy, and, any changes made in the copy will be reflected in the original.