How much of this functionality is available in the tabulate package? _JM ______ John Mark Agosta LinkedIn: https://www.linkedin.com/in/john-mark-agosta/ johnmark.ago...@gmail.com Find me at https://medium.com/@johnmark54
On Tue, Aug 5, 2025 at 6:55 AM Андрей Рыбаков via NumPy-Discussion < numpy-discussion@python.org> wrote: > Dear all, > > I would like to discuss a «cosmetic» feature for numpy. > > I find it useful in my day-to-day work to inspect the values of 1D and 2D > numpy arrays. Typically I was saving the data in the .txt format and then > used the next best tool to analyse the numbers. > > However, I would prefer to be able to just print an array directly in the > interactive console (python console for instance) and have the printed > array formatted in such a way that it can be easily read by human eyes. > > Now, the type of formatting is subjective. Nevertheless, I would like to > propose the one that I have converged to over the years. > > The proposed implementation is a standalone function, written in pure > python (as this «visual» representation will be suitable only for the > reasonable-sized array, then there is no need to worry about the > performance), for example, > > > > def decorate_array( > > object: array_like, > > fmt: str, > > header: list, > > footer: list, > > column_header: list, > > footer column: list, > > …, > > ) > > > > If the numpy community agrees that this function fits in the package, then > I would like to adapt the implementation that I am using now. I would open > a PR, but I saw that it is recommended to ask for an opinion on this > mailing list first. > > > > Below are the examples of how this function would behave (again, the style > is subjective): > > > > 1. Plain real-valued array > > > decorate_array( > > object = np.random.random((10,3)), > > fmt = ">.4f", > > ) > > > ┌────────┬────────┬────────┐ > > │ 0.0410 │ 0.2844 │ 0.4251 │ > > ├────────┼────────┼────────┤ > > │ 0.9270 │ 0.7509 │ 0.9892 │ > > ├────────┼────────┼────────┤ > > │ 0.7380 │ 0.1245 │ 0.1855 │ > > ├────────┼────────┼────────┤ > > │ 0.4738 │ 0.6671 │ 0.8455 │ > > ├────────┼────────┼────────┤ > > │ 0.4442 │ 0.5946 │ 0.5874 │ > > ├────────┼────────┼────────┤ > > │ 0.0789 │ 0.5374 │ 0.6505 │ > > ├────────┼────────┼────────┤ > > │ 0.8006 │ 0.0970 │ 0.4456 │ > > ├────────┼────────┼────────┤ > > │ 0.4884 │ 0.4162 │ 0.8283 │ > > ├────────┼────────┼────────┤ > > │ 0.5082 │ 0.5625 │ 0.8812 │ > > ├────────┼────────┼────────┤ > > │ 0.2013 │ 0.9937 │ 0.3731 │ > > └────────┴────────┴────────┘ > > > > 2. Headers and footers > > > decorate_array( > > object = np.random.random((2,3)), > > fmt = ">.5f", > > header = ["l-h-corner", "h1", "h2", "h3"], > > footer = ["l-f-corner", "f1", "f2", "f3"], > > column_header = ["ch1", "ch2", "ch3"], > > footer column = ["cf1", "cf2", "cf3"], > > ) > > > ┌────────────┬─────────┬─────────┬─────────┬─────┐ > > │ l-h-corner │ h1 │ h2 │ h3 │ │ > > ├────────────┼─────────┼─────────┼─────────┼─────┤ > > │ ch1 │ 0.84675 │ 0.80002 │ 0.79360 │ cf1 │ > > ├────────────┼─────────┼─────────┼─────────┼─────┤ > > │ ch2 │ 0.93482 │ 0.28542 │ 0.28057 │ cf2 │ > > ├────────────┼─────────┼─────────┼─────────┼─────┤ > > │ l-f-corner │ f1 │ f2 │ f3 │ │ > > └────────────┴─────────┴─────────┴─────────┴─────┘ > > > > 3. Complex numbers > > > ┌──────────────┬──────────────┬──────────────┐ > > │ 0.60 - i0.12 │ 0.66 + i0.18 │ 0.31 - i0.22 │ > > ├──────────────┼──────────────┼──────────────┤ > > │ 0.52 - i0.33 │ 0.05 - i0.03 │ 0.23 + i0.37 │ > > └──────────────┴──────────────┴──────────────┘ > > > There are more verbose examples written in the docs page of my sandbox > python package, but I am not sure if posting the link to it here would be > appropriate. The three examples above should be enough to grasp the idea. > > > Best, > > Andrey > > > _______________________________________________ > NumPy-Discussion mailing list -- numpy-discussion@python.org > To unsubscribe send an email to numpy-discussion-le...@python.org > https://mail.python.org/mailman3//lists/numpy-discussion.python.org > Member address: johnmark.ago...@gmail.com >
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