Custom Colorbar Tickmarks¶
In [1]:
import yt
In [2]:
ds = yt.load("IsolatedGalaxy/galaxy0030/galaxy0030")
slc = yt.SlicePlot(ds, "x", ("gas", "density"))
slc
Out[2]:
PlotWindow
plots are containers for plots, keyed to field names. Below, we get a copy of the plot for the Density
field.
In [3]:
plot = slc.plots[("gas", "density")]
The plot has a few attributes that point to underlying matplotlib
plot primitives. For example, the colorbar
object corresponds to the cb
attribute of the plot.
In [4]:
colorbar = plot.cb
Next, we call _setup_plots()
to ensure the plot is properly initialized. Without this, the custom tickmarks we are adding will be ignored.
In [5]:
slc._setup_plots()
To set custom tickmarks, simply call the matplotlib
set_ticks
and set_ticklabels
functions.
In [6]:
colorbar.set_ticks([1e-28])
colorbar.set_ticklabels(["$10^{-28}$"])
slc
Out[6]:
(custom_colorbar_tickmarks.ipynb; custom_colorbar_tickmarks_evaluated.ipynb; custom_colorbar_tickmarks.py)