How to customise matplotlib / iris.qplot label?

[maczik]

I am trying to customise the label of my figure so it spans the same range regardless of the data showcased. Uniform labelling is important as I am making an animation over time of my simulation results.

For the purposes of this post I am using the sample data. Here is my code:

import matplotlib.pyplot as plt
import iris
import iris.quickplot as qplt

fname = iris.sample_data_path("air_temp.pp")
temperature_cube = iris.load_cube(fname)

##Draw the contour with 25 levels.
qplt.contourf(temperature_cube, 25)

##Add coastlines to the map created by contourf.
plt.gca().coastlines()

plt.show()

And here is the result:

I want to manually set the label range of the colour bar under the map, lets say from 230 to 310. I have not had any luck figuring this one out yet, any help would be very appreciated.

Thank you for considering the problem.

[rcomer]

Hi @maczik, the Iris plotting functions are wrappers to the matplotlib plotting functions. So to find all the configuration options you can look at the Matplotlib docs. In this case I think you want to set the levels keyword, and/or vmin and vmax.

The iplt.contourf call in this Gallery example seems similar to what you want:
https://scitools-iris.readthedocs.io/en/stable/generated/gallery/meteorology/plot_lagged_ensemble.html#sphx-glr-generated-gallery-meteorology-plot-lagged-ensemble-py

[pp-mo]

Looks answered. Archiving this