On Sat, Jul 8, 2017 at 3:48 AM, sacielo <sacielo@gmail.com> wrote:

Hello,

I was trying to change the looks of the colorbar of slice plots; first I found out I could create a new colorbar in a new position. I obtained something I like very much like this (for some dataset ds):

myvar = 'density'
sl = yt.SlicePlot(ds, 'x', myvar, center='c', width=(3,'kpc'))
sl.hide_colorbar()
sl.hide_axes()
plot = sl.plots[myvar]
fig = plot.figure

Rather than creating a new colorbar, you can get access to the original colorbar via plot.cb and the original colorbar axes via plot.cax.

However, I don't think there's an easy way to make a colorbar horizontal after its already been created.

Right now yt's plots don't have a mode to create a horizontal colorbar. They aren't really designed for total customization, they're optimized for quick plotting and as such make many assumptions about how the plots look. So you're running into a mismatch between assumptions the plotting system needs to make about how the plots should look to avoid making people manually create plots every time, and the inflexibility that implies if you really *do* want to manually plot something.

If you want fully manual control over the plot looks and don't want to use the axes and colorbar yt is creating, then you may want to manually construct the plots using an image buffer. Here are some examples in the docs on how to do that:

http://yt-project.org/docs/dev/visualizing/manual_plotting.html

http://yt-project.org/docs/dev/cookbook/complex_plots.html?highlight=manual#multi-plot-slice-and-projections

Of course that doesn't let you use the yt plot annotations, so I don't think that's what you're looking for either.

new_ax = fig.add_axes((0.025,0.94,0.75,0.025))

cb = plot.figure.colorbar(plot.image, new_ax, extend='both', orientation='horizontal', format='%.0E')
sl._setup_plots()

The only problem now is I cannot change the font properties of this new colorbar. Even trying, e.g.:

sl.set_font({'family': 'sans-serif', 'style': 'normal', 'weight': 'normal', 'size': 36})

Another way to do this using your current approach would be to customize the colorbar you're creating using the plot's new FontProperties instance. After calling this function you can get access to the FontProperties instance used via plot._font_properties.

Next, you'd need to apply the new FontProperties to the tick marks and labels on the colorbar you've created:

fp = plot._font_properties

labels = new_ax.yaxis.get_ticklabels()

labels += [new_ax.yaxis.label, new_ax.yaxis.get_offset_text()]

for label in labels:

label.set_fontproperties(fp)

Here's a worked out example:

https://gist.github.com/anonymous/9a80cd6f0148d1df362a2c9cfb6d10da

will change all fonts, including the default colorbar, all text and annotations, but not this new colorbar.
I think plot.figure.colorbar does not accept any argument to edit the font.

Do you know how I could change this? Or maybe have I gone down the wrong path?
I wouldn't like to do all manually with matplotlib, as I plan to add many more yt annotations to this plot, which all work very well.

Thank you!

Best,

--
Salvatore

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