.. note::
    :class: sphx-glr-download-link-note

    Click :ref:`here <sphx_glr_download_intro_summary-exercises_auto_examples_plot_cumulative_wind_speed_prediction.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_intro_summary-exercises_auto_examples_plot_cumulative_wind_speed_prediction.py:


Cumulative wind speed prediction
================================

Generate the image cumulative-wind-speed-prediction.png
for the interpolate section of scipy.rst.




.. image:: /intro/summary-exercises/auto_examples/images/sphx_glr_plot_cumulative_wind_speed_prediction_001.png
    :class: sphx-glr-single-img





.. code-block:: python


    import numpy as np
    from scipy.interpolate import UnivariateSpline
    import matplotlib.pyplot as plt

    max_speeds = np.load('max-speeds.npy')
    years_nb = max_speeds.shape[0]

    cprob = (np.arange(years_nb, dtype=np.float32) + 1)/(years_nb + 1)
    sorted_max_speeds = np.sort(max_speeds)
    speed_spline = UnivariateSpline(cprob, sorted_max_speeds)
    nprob = np.linspace(0, 1, 1e2)
    fitted_max_speeds = speed_spline(nprob)

    fifty_prob = 1. - 0.02
    fifty_wind = speed_spline(fifty_prob)

    plt.figure()
    plt.plot(sorted_max_speeds, cprob, 'o')
    plt.plot(fitted_max_speeds, nprob, 'g--')
    plt.plot([fifty_wind], [fifty_prob], 'o', ms=8., mfc='y', mec='y')
    plt.text(30, 0.05, '$V_{50} = %.2f \, m/s$' % fifty_wind)
    plt.plot([fifty_wind, fifty_wind], [plt.axis()[2], fifty_prob], 'k--')
    plt.xlabel('Annual wind speed maxima [$m/s$]')
    plt.ylabel('Cumulative probability')

**Total running time of the script:** ( 0 minutes  0.076 seconds)


.. _sphx_glr_download_intro_summary-exercises_auto_examples_plot_cumulative_wind_speed_prediction.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.readthedocs.io>`_