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Multi-Line Temperature Profile Plot

Air temperature
import matplotlib.pyplot as plt

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


def main():
    fname = iris.sample_data_path("air_temp.pp")

    # Load exactly one cube from the given file.
    temperature = iris.load_cube(fname)

    # We only want a small number of latitudes, so filter some out
    # using "extract".
    temperature = temperature.extract(
        iris.Constraint(latitude=lambda cell: 68 <= cell < 78)
    )

    for cube in temperature.slices("longitude"):

        # Create a string label to identify this cube (i.e. latitude: value).
        cube_label = "latitude: %s" % cube.coord("latitude").points[0]

        # Plot the cube, and associate it with a label.
        qplt.plot(cube, label=cube_label)

    # Add the legend with 2 columns.
    plt.legend(ncol=2)

    # Put a grid on the plot.
    plt.grid(True)

    # Tell matplotlib not to extend the plot axes range to nicely
    # rounded numbers.
    plt.axis("tight")

    # Finally, show it.
    iplt.show()


if __name__ == "__main__":
    main()

Total running time of the script: ( 0 minutes 0.179 seconds)

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