You are viewing the latest unreleased documentation v3.3.dev0. You may prefer a stable version.

Cross Section Plots#

This example demonstrates contour plots of a cross-sectioned multi-dimensional cube which features a hybrid height vertical coordinate system.

  • Air potential temperature
  • Air potential temperature
import matplotlib.pyplot as plt

import iris
import iris.plot as iplt
import iris.quickplot as qplt

def main():
    # Load some test data.
    fname = iris.sample_data_path("")
    theta = iris.load_cube(fname, "air_potential_temperature")

    # Extract a single height vs longitude cross-section. N.B. This could
    # easily be changed to extract a specific slice, or even to loop over *all*
    # cross section slices.
    cross_section = next(
        theta.slices(["grid_longitude", "model_level_number"])

        cross_section, coords=["grid_longitude", "altitude"], cmap="RdBu_r"

    # Now do the equivalent plot, only against model level

        coords=["grid_longitude", "model_level_number"],

if __name__ == "__main__":

Total running time of the script: ( 0 minutes 0.462 seconds)

Gallery generated by Sphinx-Gallery