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

    Click :ref:`here <sphx_glr_download_gallery_pyplots_annotate_transform.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_gallery_pyplots_annotate_transform.py:


==================
Annotate Transform
==================





.. image:: /gallery/pyplots/images/sphx_glr_annotate_transform_001.png
    :class: sphx-glr-single-img





.. code-block:: python

    import numpy as np
    import matplotlib.pyplot as plt

    x = np.arange(0, 10, 0.005)
    y = np.exp(-x/2.) * np.sin(2*np.pi*x)

    fig, ax = plt.subplots()
    ax.plot(x, y)
    ax.set_xlim(0, 10)
    ax.set_ylim(-1, 1)

    xdata, ydata = 5, 0
    xdisplay, ydisplay = ax.transData.transform_point((xdata, ydata))

    bbox = dict(boxstyle="round", fc="0.8")
    arrowprops = dict(
        arrowstyle = "->",
        connectionstyle = "angle,angleA=0,angleB=90,rad=10")

    offset = 72
    ax.annotate('data = (%.1f, %.1f)'%(xdata, ydata),
                (xdata, ydata), xytext=(-2*offset, offset), textcoords='offset points',
                bbox=bbox, arrowprops=arrowprops)


    disp = ax.annotate('display = (%.1f, %.1f)'%(xdisplay, ydisplay),
                (xdisplay, ydisplay), xytext=(0.5*offset, -offset),
                xycoords='figure pixels',
                textcoords='offset points',
                bbox=bbox, arrowprops=arrowprops)


    plt.show()


.. _sphx_glr_download_gallery_pyplots_annotate_transform.py:


.. only :: html

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



  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

    Keywords: matplotlib code example, codex, python plot, pyplot
    `Gallery generated by Sphinx-Gallery
    <https://sphinx-gallery.readthedocs.io>`_
