Value Attribute of pandas.DataFrame and pandas.Series in Python

Make a copy of a dataframe
If you want to make a copy, you may use the Value Attribute of pandas.DataFrame and pandas.Series like

df = pd.DataFrame(data=[[1, 2, 3], [4, 5, 6]])
a = df.values

Noto that it does not give a copy, gives just a view.

print(type(a))
print(np.shares_memory(df, a))
# <class 'numpy.ndarray'>
# True

Use .to_numpy() method to make a copy of a DataFrame or Series. But there is one thing to remain. Set the parameter of copy to be true. The default is false.

view = df.to_numpy()
print(type(view))
print(np.shares_memory(df, view))
# <class 'numpy.ndarray'>
# True

copy = df.to_numpy(copy=True)
print(type(copy))
print(np.shares_memory(df, copy))
# <class 'numpy.ndarray'>
# False