.. 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_cohere.py: ===================================== Plotting the coherence of two signals ===================================== An example showing how to plot the coherence of two signals. .. image:: /gallery/lines_bars_and_markers/images/sphx_glr_cohere_001.png :alt: cohere :class: sphx-glr-single-img .. code-block:: default import numpy as np import matplotlib.pyplot as plt # Fixing random state for reproducibility np.random.seed(19680801) dt = 0.01 t = np.arange(0, 30, dt) nse1 = np.random.randn(len(t)) # white noise 1 nse2 = np.random.randn(len(t)) # white noise 2 # Two signals with a coherent part at 10Hz and a random part s1 = np.sin(2 * np.pi * 10 * t) + nse1 s2 = np.sin(2 * np.pi * 10 * t) + nse2 fig, axs = plt.subplots(2, 1) axs[0].plot(t, s1, t, s2) axs[0].set_xlim(0, 2) axs[0].set_xlabel('time') axs[0].set_ylabel('s1 and s2') axs[0].grid(True) cxy, f = axs[1].cohere(s1, s2, 256, 1. / dt) axs[1].set_ylabel('coherence') fig.tight_layout() plt.show() .. _sphx_glr_download_gallery_lines_bars_and_markers_cohere.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: cohere.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: cohere.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature Keywords: matplotlib code example, codex, python plot, pyplot `Gallery generated by Sphinx-Gallery `_