DataFrame that is a partial view

Is it possible to create a dataframe where one fragment is a view of another df and the remaining fragment is not a view?

I am unable to create such a df, but I want to know if it is possible.

If this is possible, can you give an example of such a dataframe?

>Solution :

I think you can make something like this when you construct the dataframe with copy=False parameter. Consider this:

arr = np.array([[1, 2, 3], [4, 5, 6]])

df1 = pd.DataFrame(arr, columns=["a1", "b1", "c1"], copy=False)

df2 = pd.DataFrame(arr, columns=["a2", "b2", "c2"], copy=False)
df2["d"] = 999

print(df1)
print(df2)

This prints:

   a1  b1  c1
0   1   2   3
1   4   5   6

   a2  b2  c2    d
0   1   2   3  999
1   4   5   6  999

Now when you do:

df1.loc[0, :] = -1

print(df1)
print(df2)

This prints:

   a1  b1  c1
0  -1  -1  -1
1   4   5   6

   a2  b2  c2    d
0  -1  -1  -1  999
1   4   5   6  999