What does DataFrame copy () do?

What does DataFrame copy do?

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.

How do I copy data from one DataFrame to another in Python?

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)

What is deep copy of DataFrame?

A deep copy of a DataFrame or a Series object has its own copy of index and data. It is a process in which the copying process occurs recursively. It means first constructing a new collection object and then recursively populating it with copies of the child objects found in the original.

How do I copy pandas series?

Make a copy of this object's indices and data. When deep=True (default), a new object will be created with a copy of the calling object's data and indices. Modifications to the data or indices of the copy will not be reflected in the original object (see notes below).