They are really slow

In [3]: %timeit np.c_[np.arange(10), np.arange(10)]
11.7 µs ± 60.4 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)

In [4]: %timeit np.column_stack([np.arange(10), np.arange(10)])
3.91 µs ± 154 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)

and the alternative are (slightly) more readable (IMO).

PR Summary

PR Checklist

• Has Pytest style unit tests
• Code is Flake 8 compliant
• New features are documented, with examples if plot related
• Documentation is sphinx and numpydoc compliant
• Added an entry to doc/users/next_whats_new/ if major new feature (follow instructions in README.rst there)
• Documented in doc/api/api_changes.rst if API changed in a backward-incompatible way