.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "content/examples/06-tdem/plot_fwd_tdem_waveforms.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_content_examples_06-tdem_plot_fwd_tdem_waveforms.py>`
        to download the full example code.

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

.. _sphx_glr_content_examples_06-tdem_plot_fwd_tdem_waveforms.py:


TDEM: Waveforms
===============

In this example, we plot the waveforms available in the TDEM module in addition
to the `StepOffWaveform`

.. GENERATED FROM PYTHON SOURCE LINES 8-66



.. image-sg:: /content/examples/06-tdem/images/sphx_glr_plot_fwd_tdem_waveforms_001.png
   :alt: RampOffWaveform, TriangularWaveform, TrapezoidWaveform, HalfSineWaveform, QuarterSineRampOnWaveform, ExponentialWaveform, VTEMWaveform
   :srcset: /content/examples/06-tdem/images/sphx_glr_plot_fwd_tdem_waveforms_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    import matplotlib.pyplot as plt
    import numpy as np
    from simpeg.electromagnetics import time_domain as TDEM
    from simpeg.utils import mkvc

    nT = 1000
    max_t = 5e-3
    times = max_t * np.arange(0, nT) / float(nT)

    # create the waveforms
    ramp_off = TDEM.Src.RampOffWaveform(off_time=max_t)
    vtem = TDEM.Src.VTEMWaveform()
    trapezoid = TDEM.Src.TrapezoidWaveform(
        ramp_on=np.r_[0.0, 1.5e-3], ramp_off=max_t - np.r_[1.5e-3, 0]
    )
    triangular = TDEM.Src.TriangularWaveform(
        start_time=0.0, peak_time=max_t / 2, off_time=max_t
    )
    quarter_sine = TDEM.Src.QuarterSineRampOnWaveform(
        ramp_on=np.r_[0.0, 1.5e-3], ramp_off=max_t - np.r_[1.5e-3, 0]
    )
    half_sine = TDEM.Src.HalfSineWaveform(
        ramp_on=np.r_[0.0, 1.5e-3], ramp_off=max_t - np.r_[1.5e-3, 0]
    )
    exponential = TDEM.Src.ExponentialWaveform(
        start_time=0.0, peak_time=0.003, off_time=0.005, ramp_on_tau=5e-4
    )

    waveforms = dict(
        zip(
            [
                "RampOffWaveform",
                "TrapezoidWaveform",
                "QuarterSineRampOnWaveform",
                "VTEMWaveform",
                "TriangularWaveform",
                "HalfSineWaveform",
                "ExponentialWaveform",
            ],
            [ramp_off, trapezoid, quarter_sine, vtem, triangular, half_sine, exponential],
        )
    )

    # plot the waveforms
    fig, ax = plt.subplots(4, 2, figsize=(7, 10))
    ax = mkvc(ax)

    for a, key in zip(ax, waveforms):
        wave = waveforms[key]
        wave_plt = [wave.eval(t) for t in times]
        a.plot(times, wave_plt)
        a.set_title(key)
        a.set_xlabel("time (s)")
    # deactivate last subplot as it is empty
    ax[-1].axis("off")
    plt.tight_layout()
    plt.show()


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

   **Total running time of the script:** (0 minutes 1.030 seconds)

**Estimated memory usage:**  9 MB


.. _sphx_glr_download_content_examples_06-tdem_plot_fwd_tdem_waveforms.py:

.. only:: html

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

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

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

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

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


.. only:: html

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

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