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.agosta@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

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