Does Numpy provide built-in capabilities to print the indices/coordinates of a 2-d Numpy array at its borders?

What I mean, is the following: Given, for example, the array

a = np.arange(6).reshape(2, 3).astype(float)

I would like to have a printout as follows:

     0    1    2
0  0.0  1.0  2.0
1  3.0  4.0  5.0

That is, I want to have a “header column” that shows the row indices (here: 0, 1) and a “header row” that shows the column indices (here: 0, 1, 2).

At present, I simply use Pandas for this purpose (i.e. I convert the Numpy array to a Pandas DataFrame and then print the DataFrame). This is also suggested, for example, in this answer to a related question. However, this would always require Pandas, even if I don’t use it for anything else in a given project.

So my question, again, is: can I achieve the same printout only with Numpy (thus without Pandas)? Or, if not, is there a lightweight solution (in the sense of a few lines of code without an additional library) to achieve a similar output?