Custom Colorbar Tickmarks¶

[1]:

import yt

[2]:

ds = yt.load("IsolatedGalaxy/galaxy0030/galaxy0030")
slc = yt.SlicePlot(ds, "x", ("gas", "density"))
slc

[2]:

PlotWindow plots are containers for plots, keyed to field names. Below, we get a copy of the plot for the Density field.

[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.

[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.

[5]:

slc._setup_plots()

To set custom tickmarks, simply call the matplotlib `set_ticks <https://matplotlib.org/stable/api/colorbar_api.html#matplotlib.colorbar.ColorbarBase.set_ticks>`__ and `set_ticklabels <https://matplotlib.org/stable/api/colorbar_api.html#matplotlib.colorbar.ColorbarBase.set_ticklabels>`__ functions.

[6]:

colorbar.set_ticks([1e-28])
colorbar.set_ticklabels(["$10^{-28}$"])
slc

[6]: