.. _sphx_glr_gallery_api_span_regions.py: ================ Using span_where ================ Illustrate some helper functions for shading regions where a logical mask is True See :meth:`matplotlib.collections.BrokenBarHCollection.span_where` .. image:: /gallery/api/images/sphx_glr_span_regions_001.png :align: center .. code-block:: python import numpy as np import matplotlib.pyplot as plt import matplotlib.collections as collections t = np.arange(0.0, 2, 0.01) s1 = np.sin(2*np.pi*t) s2 = 1.2*np.sin(4*np.pi*t) fig, ax = plt.subplots() ax.set_title('using span_where') ax.plot(t, s1, color='black') ax.axhline(0, color='black', lw=2) collection = collections.BrokenBarHCollection.span_where( t, ymin=0, ymax=1, where=s1 > 0, facecolor='green', alpha=0.5) ax.add_collection(collection) collection = collections.BrokenBarHCollection.span_where( t, ymin=-1, ymax=0, where=s1 < 0, facecolor='red', alpha=0.5) ax.add_collection(collection) plt.show() .. only :: html .. container:: sphx-glr-footer .. container:: sphx-glr-download :download:`Download Python source code: span_regions.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: span_regions.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_