.. only:: html .. note:: :class: sphx-glr-download-link-note Click :ref:`here ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_gallery_lines_bars_and_markers_xcorr_acorr_demo.py: ================================ Cross- and Auto-Correlation Demo ================================ Example use of cross-correlation (`~.Axes.xcorr`) and auto-correlation (`~.Axes.acorr`) plots. .. code-block:: default import matplotlib.pyplot as plt import numpy as np # Fixing random state for reproducibility np.random.seed(19680801) x, y = np.random.randn(2, 100) fig, [ax1, ax2] = plt.subplots(2, 1, sharex=True) ax1.xcorr(x, y, usevlines=True, maxlags=50, normed=True, lw=2) ax1.grid(True) ax2.acorr(x, usevlines=True, normed=True, maxlags=50, lw=2) ax2.grid(True) plt.show() .. image:: /gallery/lines_bars_and_markers/images/sphx_glr_xcorr_acorr_demo_001.png :alt: xcorr acorr demo :class: sphx-glr-single-img ------------ References """""""""" The use of the following functions, methods, classes and modules is shown in this example: .. code-block:: default import matplotlib matplotlib.axes.Axes.acorr matplotlib.axes.Axes.xcorr matplotlib.pyplot.acorr matplotlib.pyplot.xcorr .. rst-class:: sphx-glr-script-out Out: .. code-block:: none .. _sphx_glr_download_gallery_lines_bars_and_markers_xcorr_acorr_demo.py: .. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: xcorr_acorr_demo.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: xcorr_acorr_demo.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature Keywords: matplotlib code example, codex, python plot, pyplot `Gallery generated by Sphinx-Gallery `_