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

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

.. _sphx_glr_intro_scipy_auto_examples_plot_resample.py:


Resample a signal with scipy.signal.resample
=============================================

:func:`scipy.signal.resample` uses FFT to resample a 1D signal.


Generate a signal with 100 data point



.. code-block:: python

    import numpy as np
    t = np.linspace(0, 5, 100)
    x = np.sin(t)







Downsample it by a factor of 4



.. code-block:: python

    from scipy import signal
    x_resampled = signal.resample(x, 25)







Plot



.. code-block:: python

    from matplotlib import pyplot as plt
    plt.figure(figsize=(5, 4))
    plt.plot(t, x, label='Original signal')
    plt.plot(t[::4], x_resampled, 'ko', label='Resampled signal')

    plt.legend(loc='best')
    plt.show()



.. image:: /intro/scipy/auto_examples/images/sphx_glr_plot_resample_001.png
    :class: sphx-glr-single-img




**Total running time of the script:** ( 0 minutes  0.019 seconds)


.. _sphx_glr_download_intro_scipy_auto_examples_plot_resample.py:


.. only :: html

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



  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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