.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "extensions/sphinx-gallery/plot_04_styled.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_extensions_sphinx-gallery_plot_04_styled.py>`
        to download the full example code.

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

.. _sphx_glr_extensions_sphinx-gallery_plot_04_styled.py:


Styled Visualizations
=====================

This example showcases different plot styles and annotations.
It demonstrates how sphinx-gallery captures complex matplotlib figures.

.. seealso::

   - :doc:`plot_01_basic` for a simpler example
   - :doc:`plot_03_subplots` for subplot layouts

.. GENERATED FROM PYTHON SOURCE LINES 13-19

.. code-block:: Python


    import matplotlib.pyplot as plt
    import numpy as np

    # sphinx_gallery_thumbnail_number = 2








.. GENERATED FROM PYTHON SOURCE LINES 20-24

Area Plot with Gradient
-----------------------

A filled area plot showing data distribution over time.

.. GENERATED FROM PYTHON SOURCE LINES 24-39

.. code-block:: Python


    x = np.linspace(0, 10, 100)
    y1 = np.sin(x) + 2
    y2 = np.sin(x + np.pi / 4) + 2

    plt.figure(figsize=(10, 5))
    plt.fill_between(x, 0, y1, alpha=0.5, label="Series A")
    plt.fill_between(x, 0, y2, alpha=0.5, label="Series B")
    plt.xlabel("Time")
    plt.ylabel("Value")
    plt.title("Stacked Area Plot")
    plt.legend()
    plt.tight_layout()
    plt.show()




.. image-sg:: /extensions/sphinx-gallery/images/sphx_glr_plot_04_styled_001.png
   :alt: Stacked Area Plot
   :srcset: /extensions/sphinx-gallery/images/sphx_glr_plot_04_styled_001.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 40-46

Annotated Plot
--------------

This figure includes text annotations and markers pointing to
specific features. The ``sphinx_gallery_thumbnail_number = 2``
directive at the top makes this the gallery thumbnail.

.. GENERATED FROM PYTHON SOURCE LINES 46-85

.. code-block:: Python


    x = np.linspace(0, 2 * np.pi, 100)
    y = np.sin(x)

    fig, ax = plt.subplots(figsize=(10, 5))
    ax.plot(x, y, "b-", linewidth=2)

    # Mark maximum and minimum
    max_idx = np.argmax(y)
    min_idx = np.argmin(y)

    ax.annotate(
        "Maximum",
        xy=(x[max_idx], y[max_idx]),
        xytext=(x[max_idx] + 0.5, y[max_idx] + 0.3),
        fontsize=12,
        arrowprops=dict(arrowstyle="->", color="green"),
        color="green",
    )

    ax.annotate(
        "Minimum",
        xy=(x[min_idx], y[min_idx]),
        xytext=(x[min_idx] + 0.5, y[min_idx] - 0.3),
        fontsize=12,
        arrowprops=dict(arrowstyle="->", color="red"),
        color="red",
    )

    ax.scatter([x[max_idx], x[min_idx]], [y[max_idx], y[min_idx]],
               c=["green", "red"], s=100, zorder=5)

    ax.set_xlabel("x")
    ax.set_ylabel("y")
    ax.set_title("Sine Wave with Annotations")
    ax.grid(True, alpha=0.3)
    plt.tight_layout()
    plt.show()




.. image-sg:: /extensions/sphinx-gallery/images/sphx_glr_plot_04_styled_002.png
   :alt: Sine Wave with Annotations
   :srcset: /extensions/sphinx-gallery/images/sphx_glr_plot_04_styled_002.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 86-90

Heatmap
-------

A 2D heatmap visualization with a colorbar.

.. GENERATED FROM PYTHON SOURCE LINES 90-101

.. code-block:: Python


    data = np.random.rand(8, 8)

    plt.figure(figsize=(8, 6))
    plt.imshow(data, cmap="coolwarm", aspect="auto")
    plt.colorbar(label="Intensity")
    plt.xlabel("Column")
    plt.ylabel("Row")
    plt.title("Random Heatmap")
    plt.tight_layout()
    plt.show()



.. image-sg:: /extensions/sphinx-gallery/images/sphx_glr_plot_04_styled_003.png
   :alt: Random Heatmap
   :srcset: /extensions/sphinx-gallery/images/sphx_glr_plot_04_styled_003.png
   :class: sphx-glr-single-img






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

   **Total running time of the script:** (0 minutes 0.277 seconds)


.. _sphx_glr_download_extensions_sphinx-gallery_plot_04_styled.py:

.. only:: html

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

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

      :download:`Download Jupyter notebook: plot_04_styled.ipynb <plot_04_styled.ipynb>`

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

      :download:`Download Python source code: plot_04_styled.py <plot_04_styled.py>`

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

      :download:`Download zipped: plot_04_styled.zip <plot_04_styled.zip>`


.. only:: html

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

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