.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "intro/scipy/auto_examples/plot_interpolation.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_intro_scipy_auto_examples_plot_interpolation.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_intro_scipy_auto_examples_plot_interpolation.py:


============================
A demo of 1D interpolation
============================

.. GENERATED FROM PYTHON SOURCE LINES 7-31



.. image-sg:: /intro/scipy/auto_examples/images/sphx_glr_plot_interpolation_001.png
   :alt: plot interpolation
   :srcset: /intro/scipy/auto_examples/images/sphx_glr_plot_interpolation_001.png
   :class: sphx-glr-single-img





.. code-block:: default


    # Generate data
    import numpy as np
    np.random.seed(0)
    measured_time = np.linspace(0, 1, 10)
    noise = 1e-1 * (np.random.random(10)*2 - 1)
    measures = np.sin(2 * np.pi * measured_time) + noise

    # Interpolate it to new time points
    import scipy as sp
    linear_interp = sp.interpolate.interp1d(measured_time, measures)
    interpolation_time = np.linspace(0, 1, 50)
    linear_results = linear_interp(interpolation_time)
    cubic_interp = sp.interpolate.interp1d(measured_time, measures, kind='cubic')
    cubic_results = cubic_interp(interpolation_time)

    # Plot the data and the interpolation
    import matplotlib.pyplot as plt
    plt.figure(figsize=(6, 4))
    plt.plot(measured_time, measures, 'o', ms=6, label='measures')
    plt.plot(interpolation_time, linear_results, label='linear interp')
    plt.plot(interpolation_time, cubic_results, label='cubic interp')
    plt.legend()
    plt.show()


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  0.057 seconds)


.. _sphx_glr_download_intro_scipy_auto_examples_plot_interpolation.py:

.. only:: html

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




    .. container:: sphx-glr-download sphx-glr-download-python

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

    .. container:: sphx-glr-download sphx-glr-download-jupyter

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


.. only:: html

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

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