.. _sphx_glr_examples_plots_Hodograph_Inset.py:


Hodograph Inset
===============

Layout a Skew-T plot with a hodograph inset into the plot.



.. code-block:: python

    from datetime import datetime

    import matplotlib.pyplot as plt
    from mpl_toolkits.axes_grid1.inset_locator import inset_axes
    import numpy as np

    from metpy.io import get_upper_air_data
    from metpy.io.upperair import UseSampleData
    from metpy.plots import Hodograph, SkewT








.. code-block:: python

    with UseSampleData():  # Only needed to use our local sample data
        # Download and parse the data
        dataset = get_upper_air_data(datetime(1999, 5, 4, 0), 'OUN')

    p = dataset.variables['pressure'][:]
    T = dataset.variables['temperature'][:]
    Td = dataset.variables['dewpoint'][:]
    u = dataset.variables['u_wind'][:]
    v = dataset.variables['v_wind'][:]








.. code-block:: python


    # Create a new figure. The dimensions here give a good aspect ratio
    fig = plt.figure(figsize=(9, 9))

    # Grid for plots
    skew = SkewT(fig, rotation=45)

    # Plot the data using normal plotting functions, in this case using
    # log scaling in Y, as dictated by the typical meteorological plot
    skew.plot(p, T, 'r')
    skew.plot(p, Td, 'g')
    skew.plot_barbs(p, u, v)
    skew.ax.set_ylim(1000, 100)

    # Add the relevant special lines
    skew.plot_dry_adiabats()
    skew.plot_moist_adiabats()
    skew.plot_mixing_lines()

    # Good bounds for aspect ratio
    skew.ax.set_xlim(-50, 60)

    # Create a hodograph
    ax_hod = inset_axes(skew.ax, '40%', '40%', loc=1)
    h = Hodograph(ax_hod, component_range=80.)
    h.add_grid(increment=20)
    h.plot_colormapped(u, v, np.hypot(u, v))

    # Show the plot
    plt.show()



.. image:: /examples/plots/images/sphx_glr_Hodograph_Inset_001.png
    :align: center




**Total running time of the script:** ( 0 minutes  0.368 seconds)



.. container:: sphx-glr-footer


  .. container:: sphx-glr-download

     :download:`Download Python source code: Hodograph_Inset.py <Hodograph_Inset.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: Hodograph_Inset.ipynb <Hodograph_Inset.ipynb>`

.. rst-class:: sphx-glr-signature

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