Referencing figures by a label in mediawiki
If you want to refer to images in Mediawiki the way you would in a $\mathrm{\LaTeX}$ document, you can use this cheap trick of mine... Say you have several figures, like this one:
$\tag{1}\nonumber$
Figure (1): Standard deviation of the average as function of the sample size.
And this one:
$\tag{2}\nonumber$
Figure (2): Distribution of a thousand mean of 10 numbers: experiment vs theory.
They are labelled automaticallya and you can refer to them later, e.g., this is shown in Fig. (1) and a particular case is featured in Fig. (2).
Let me Lorem ipsum you to win some space and let you click from far away (that's two paragraphs, see you on the other side):
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Mauris luctus augue nunc, at molestie tortor congue ac. Donec sagittis aliquet ipsum non vestibulum. Cras at ligula tortor. Sed ac interdum dolor, id faucibus eros. Etiam mattis sodales tellus in ultricies. Sed porttitor augue elit. Vestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia Curae; In ultricies ac lorem vel sodales. Aliquam tristique varius nulla, efficitur venenatis sem vehicula sit amet. Suspendisse eget tincidunt libero, ac ultrices justo. Phasellus accumsan leo ante, a sollicitudin justo luctus nec. Praesent nec posuere nunc. Maecenas accumsan arcu eu urna molestie, at fringilla augue eleifend. Nam sapien dui, pellentesque nec imperdiet consequat, rutrum ornare arcu. Etiam rhoncus condimentum gravida.
You can then click back to the mentioned figures, e.g., Figs. (1) and (2). That's not the most powerful and flexible you would wish, but that works well enough, for within the same page! (that is a big limitation, however).
That's the code:
$\label{fig:1}\nonumber$<center>[[File:cou1-standardDevSize.png|300px]]<br>
<small>Figure \ref{fig:1}:
Standard deviation of the average as function of the sample
size.</small></center>
And this one:
$\label{fig:2}\nonumber$<center>[[File:compu1-fitting-Gaussian.png|300px]]<br>
<small>Figure \ref{fig:2}:
Distribution of a thousand mean of 10 numbers: experiment vs
theory.</small></center>