.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/plot_pcolormesh.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_pcolormesh.py>`
        to download the full example code.

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

.. _sphx_glr_auto_examples_plot_pcolormesh.py:


pcolormesh — non-linear axes
============================

Demonstrate :meth:`~anyplotlib.figure_plots.Axes.pcolormesh` with non-uniform
(log-spaced) x-edges and irregularly-spaced y-edges, mirroring
``matplotlib.axes.Axes.pcolormesh``.

The key difference from :meth:`~anyplotlib.figure_plots.Axes.imshow` is that
``pcolormesh`` takes **edge** arrays (length N+1 and M+1 for an (M, N) data
array) rather than center arrays.  This enables fully non-linear axes where
each cell can have a different width/height in data coordinates.

.. GENERATED FROM PYTHON SOURCE LINES 14-44

.. code-block:: Python

    import numpy as np
    import anyplotlib as vw

    rng = np.random.default_rng(42)

    # ── Data: 32 rows × 48 columns ───────────────────────────────────────────────
    M, N = 32, 48
    data = np.sin(np.linspace(0, 3 * np.pi, N)) + np.cos(np.linspace(0, 2 * np.pi, M))[:, None]
    data += rng.normal(scale=0.15, size=(M, N))

    # ── Non-uniform edges ─────────────────────────────────────────────────────────
    # x: log-spaced between 0.1 and 100  (N+1 edges)
    x_edges = np.logspace(-1, 2, N + 1)

    # y: irregular spacing — dense in the middle, coarse at the ends (M+1 edges)
    y_centres = np.concatenate([
        np.linspace(0, 40, M // 4, endpoint=False),
        np.linspace(40, 60, M // 2, endpoint=False),
        np.linspace(60, 100, M // 4),
    ])
    y_edges = np.concatenate([[y_centres[0] - (y_centres[1] - y_centres[0]) / 2],
                               (y_centres[:-1] + y_centres[1:]) / 2,
                               [y_centres[-1] + (y_centres[-1] - y_centres[-2]) / 2]])

    # ── Plot ──────────────────────────────────────────────────────────────────────
    fig, ax = vw.subplots(1, 1, figsize=(560, 460))
    mesh = ax.pcolormesh(data, x_edges=x_edges, y_edges=y_edges, units="arb.")
    mesh.set_colormap("viridis")
    fig





.. raw:: html

    <div style="display:block;text-align:center;line-height:0;margin:12px 0;"><iframe src="../_static/viewer_widgets/sphx_glr_plot_pcolormesh_001.html" frameborder="0" scrolling="no" style="width:576px;height:476px;border:none;overflow:hidden;display:inline-block;max-width:100%;"></iframe></div>






.. GENERATED FROM PYTHON SOURCE LINES 45-49

Add point markers in physical coordinates
-----------------------------------------
Marker coordinates are in the same physical (data) space as the edges.
Only ``add_circles`` and ``add_lines`` are available on a pcolormesh panel.

.. GENERATED FROM PYTHON SOURCE LINES 49-56

.. code-block:: Python


    pts = np.array([[1.0, 20.0], [10.0, 50.0], [50.0, 80.0], [90.0, 45.0]])
    mesh.add_circles(pts, name="peaks", radius=3,
                     edgecolors="#ff1744", facecolors="#ff174433",
                     labels=["A", "B", "C", "D"])
    fig





.. raw:: html

    <div style="display:block;text-align:center;line-height:0;margin:12px 0;"><iframe src="../_static/viewer_widgets/sphx_glr_plot_pcolormesh_002.html" frameborder="0" scrolling="no" style="width:576px;height:476px;border:none;overflow:hidden;display:inline-block;max-width:100%;"></iframe></div>






.. GENERATED FROM PYTHON SOURCE LINES 57-59

Add line-segment markers
------------------------

.. GENERATED FROM PYTHON SOURCE LINES 59-66

.. code-block:: Python

    segs = [
        [[1.0, 20.0], [10.0, 50.0]],
        [[10.0, 50.0], [50.0, 80.0]],
    ]
    mesh.add_lines(segs, name="path", edgecolors="#00e5ff", linewidths=2.0)
    fig





.. raw:: html

    <div style="display:block;text-align:center;line-height:0;margin:12px 0;"><iframe src="../_static/viewer_widgets/sphx_glr_plot_pcolormesh_003.html" frameborder="0" scrolling="no" style="width:576px;height:476px;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 0.064 seconds)


.. _sphx_glr_download_auto_examples_plot_pcolormesh.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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