.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/plot_spectra1d.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_auto_examples_plot_spectra1d.py>`
        to download the full example code.

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

.. _sphx_glr_auto_examples_plot_spectra1d.py:


1D Spectra
==========

Plot a 1-D spectrum with a physical x-axis (energy in eV) using
:meth:`~anyplotlib.figure_plots.Axes.plot`.

The spectrum contains a broad background and three Gaussian peaks.
Circle markers highlight the peak positions, and a range widget
selects a region of interest.  Pan and zoom with the mouse; press **R**
to reset the view.

.. GENERATED FROM PYTHON SOURCE LINES 13-52

.. code-block:: Python

    import numpy as np
    import anyplotlib as vw

    rng = np.random.default_rng(0)

    # ── Synthetic XPS-style spectrum ──────────────────────────────────────────────
    energy = np.linspace(280, 295, 512)          # binding energy axis (eV)

    def gaussian(x, mu, sigma, amp):
        return amp * np.exp(-0.5 * ((x - mu) / sigma) ** 2)

    # Background + three peaks (C 1s region)
    spectrum = (
        0.4 * np.exp(-0.08 * (energy - 280))     # exponential background
        + gaussian(energy, 284.8, 0.4, 1.0)      # C–C / C–H
        + gaussian(energy, 286.2, 0.4, 0.35)     # C–O
        + gaussian(energy, 288.0, 0.4, 0.18)     # C=O
        + rng.normal(scale=0.015, size=len(energy))
    )

    # ── Plot ──────────────────────────────────────────────────────────────────────
    fig, ax = vw.subplots(1, 1, figsize=(620, 320))
    v = ax.plot(spectrum, axes=[energy], units="eV", y_units="Intensity (a.u.)")

    # ── Peak markers ──────────────────────────────────────────────────────────────
    peak_energies = np.array([284.8, 286.2, 288.0])
    peak_offsets  = np.column_stack([
        peak_energies,
        np.interp(peak_energies, energy, spectrum),
    ])
    v.add_points(peak_offsets, name="peaks",
                 sizes=7, color="#ff1744", facecolors="#ff174433",
                 labels=["C\u2013C", "C\u2013O", "C=O"])

    # ── Region-of-interest widget ─────────────────────────────────────────────────
    v.add_range_widget(x0=285.8, x1=288.8, color="#00e5ff")

    fig





.. raw:: html

    <div style="display:block;text-align:center;line-height:0;margin:12px 0;"><iframe src="../_static/viewer_widgets/sphx_glr_plot_spectra1d_001.html" frameborder="0" scrolling="no" style="width:636px;height:336px;border:none;overflow:hidden;display:inline-block;max-width:100%;"></iframe></div>






.. GENERATED FROM PYTHON SOURCE LINES 53-57

Overlay a second spectrum
-------------------------
Use :meth:`~anyplotlib.figure_plots.Plot1D.add_line` to overlay additional
curves — useful for comparing reference spectra or fits.

.. GENERATED FROM PYTHON SOURCE LINES 57-67

.. code-block:: Python


    fit = (
        0.4 * np.exp(-0.08 * (energy - 280))
        + gaussian(energy, 284.8, 0.4, 1.0)
        + gaussian(energy, 286.2, 0.4, 0.35)
        + gaussian(energy, 288.0, 0.4, 0.18)
    )
    v.add_line(fit, x_axis=energy, color="#ffcc00", linewidth=1.5, label="fit")

    fig




.. raw:: html

    <div style="display:block;text-align:center;line-height:0;margin:12px 0;"><iframe src="../_static/viewer_widgets/sphx_glr_plot_spectra1d_002.html" frameborder="0" scrolling="no" style="width:636px;height:336px;border:none;overflow:hidden;display:inline-block;max-width:100%;"></iframe></div>







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

   **Total running time of the script:** (0 minutes 0.042 seconds)


.. _sphx_glr_download_auto_examples_plot_spectra1d.py:

.. only:: html

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

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

      :download:`Download Jupyter notebook: plot_spectra1d.ipynb <plot_spectra1d.ipynb>`

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

      :download:`Download Python source code: plot_spectra1d.py <plot_spectra1d.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: plot_spectra1d.zip <plot_spectra1d.zip>`


.. only:: html

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

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