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

.. only:: html

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

        Click :ref:`here <sphx_glr_download_auto_examples_signals_plot_synthetic_gaps.py>`
        to download the full example code

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

.. _sphx_glr_auto_examples_signals_plot_synthetic_gaps.py:


===============================
Inserting gaps in a time series
===============================

We will generate a linear time series with a sampling frequency of 4 hours, from 1975/05/09 to 1975/05/20,
and remove 35% of the data using three different methods:

    1. Random: removes data points at random location
    2. Single: create a single data gap
    3. Multiple: create a given number of gaps at random locations and of random sizes

.. GENERATED FROM PYTHON SOURCE LINES 15-52



.. image-sg:: /auto_examples/signals/images/sphx_glr_plot_synthetic_gaps_001.png
   :alt: Random gaps, Single gap, Four non-overlapping gaps with random sizes and locations 
   :srcset: /auto_examples/signals/images/sphx_glr_plot_synthetic_gaps_001.png
   :class: sphx-glr-single-img





.. code-block:: default


    import matplotlib.pyplot as plt
    import pandas as pd

    from indsl.signals.generator import insert_data_gaps, line


    start = pd.Timestamp("1975/05/09")
    end = pd.Timestamp("1975/05/20")
    line1 = line(start_date=start, end_date=end, slope=1, intercept=5, sample_freq=pd.Timedelta("4 h"))

    remove = 0.35

    fig, (ax1, ax2, ax3) = plt.subplots(3, 1, figsize=(9, 7))

    # Random Gaps
    ax1.plot(line1, "-")
    ts_rnd_gaps = insert_data_gaps(data=line1, fraction=remove, method="Random")
    ax1.plot(ts_rnd_gaps, "bo", mec="b", markerfacecolor="None", markersize=4)

    # Single gap
    ts_1_gap = insert_data_gaps(data=line1, fraction=remove, method="Single")
    ax2.plot(line1, "-")
    ax2.plot(ts_1_gap, "bo", mec="b", markerfacecolor="None", markersize=4)

    # Multiple gaps
    ts_mult_gaps = insert_data_gaps(data=line1, fraction=remove, method="Multiple", num_gaps=4)
    ax3.plot(line1, "-")
    ax3.plot(ts_mult_gaps, "bo", mec="b", markerfacecolor="None", markersize=4)
    ax1.set_title("Random gaps")
    ax2.set_title("Single gap")
    ax3.set_title("Four non-overlapping gaps with random sizes and locations ")
    ax1.get_xaxis().set_visible(False)
    ax2.get_xaxis().set_visible(False)
    fig.tight_layout()

    plt.show()


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

   **Total running time of the script:** ( 0 minutes  0.186 seconds)


.. _sphx_glr_download_auto_examples_signals_plot_synthetic_gaps.py:


.. only :: html

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



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

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



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

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


.. only:: html

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

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