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How do you duplicate a DataFrame in Python?

pandas. Syntax: pandas.DataFrame.duplicated(subset=None, keep= 'first')Purpose: To identify duplicate rows in a DataFrame. Parameters: . Returns: A Boolean series where the value True indicates that the row at the corresponding index is a duplicate and False indicates that the row is unique.


How do you create a duplicate DataFrame in Python?

To copy Pandas DataFrame, use the copy() method. The DataFrame. copy() method makes a copy of the provided object's indices and data. The copy() method accepts one parameter called deep, and it returns the Series or DataFrame that matches the caller.

What does DF copy () do?

Pandas DataFrame copy() Method 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.

How do I copy a DataFrame column to another data frame?

Use pandas.1data = {"col1":[1, 2, 3], "col2":[4, 5, 6], "col3":[7, 8, 9]}2df = pd. DataFrame(data)3new_df = selected_columns. copy()4print(new_df)

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