.. _graphics-lineplot_with_legend:


Multi-line temperature profile plot
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^



.. plot:: /net/home/h06/ecamp/nounpack_iris/docs/iris/example_code/graphics/lineplot_with_legend.py

::

    """
    Multi-line temperature profile plot
    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    
    """
    import matplotlib.pyplot as plt
    
    import iris
    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_strict(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.
        plt.show()
    
    
    if __name__ == '__main__':
        main()