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

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

.. _sphx_glr_auto_examples_plot_explore_kernels.py:


=============================
Explore kernels
=============================

In this example, we plot the kernel options provided.





.. image:: /auto_examples/images/sphx_glr_plot_explore_kernels_001.png
    :class: sphx-glr-single-img





.. code-block:: python

    # Code source: Lucy Owen
    # License: MIT

    # load
    import timecorr as tc
    import numpy as np
    from matplotlib import pyplot as plt

    # load helper functions
    from timecorr.helpers import plot_weights

    # define number of timepoints
    T = 100

    # define width
    width = 10

    # define functions
    laplace = {'name': 'Laplace', 'weights': tc.laplace_weights, 'params': {'scale': width}}
    delta = {'name': '$\delta$', 'weights': tc.eye_weights, 'params': tc.eye_params}
    gaussian = {'name': 'Gaussian', 'weights': tc.gaussian_weights, 'params': {'var': width}}
    mexican_hat = {'name': 'Mexican hat', 'weights': tc.mexican_hat_weights, 'params': {'sigma': width}}

    # plot delta
    plot_weights(delta['weights'](T), title='Delta')
    plt.show()
    plt.clf()

    # plot gaussian
    plot_weights(gaussian['weights'](T), title='Gaussian')
    plt.show()
    plt.clf()

    # plot laplace
    plot_weights(laplace['weights'](T), title='Laplace')
    plt.show()
    plt.clf()

    # plot mexican hat
    plot_weights(mexican_hat['weights'](T), title='Mexican hat')
    plt.show()
    plt.clf()
**Total running time of the script:** ( 0 minutes  0.199 seconds)


.. _sphx_glr_download_auto_examples_plot_explore_kernels.py:


.. only :: html

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



  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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