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

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

.. _sphx_glr_auto_examples_plot_ts.py:


======================
Plotting a time series
======================

Visualizing data is important and should usually be the first step in any
analysis. This simple example shows how to plot a single time series.



.. image:: /auto_examples/images/sphx_glr_plot_ts_001.png
    :class: sphx-glr-single-img






.. code-block:: default


    # Author: Johann Faouzi <johann.faouzi@gmail.com>
    # License: BSD-3-Clause

    import numpy as np
    import matplotlib.pyplot as plt

    # Parameters
    n_samples, n_timestamps = 100, 48

    # Toy dataset
    rng = np.random.RandomState(41)
    X = rng.randn(n_samples, n_timestamps)

    # Plot the first time series
    plt.figure(figsize=(6, 5))
    plt.plot(X[0], 'o-')
    plt.xlabel('Time', fontsize=14)
    plt.title('Plotting a time series', fontsize=16)
    plt.tight_layout()
    plt.show()


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

   **Total running time of the script:** ( 0 minutes  0.284 seconds)


.. _sphx_glr_download_auto_examples_plot_ts.py:


.. only :: html

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



  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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