.. _sphx_glr_gallery_event_handling_data_browser.py: ============ Data Browser ============ Connecting data between multiple canvases. This example covers how to interact data with multiple canvases. This let's you select and highlight a point on one axis, and generating the data of that point on the other axis. .. image:: /gallery/event_handling/images/sphx_glr_data_browser_001.png :align: center .. code-block:: python import numpy as np class PointBrowser(object): """ Click on a point to select and highlight it -- the data that generated the point will be shown in the lower axes. Use the 'n' and 'p' keys to browse through the next and previous points """ def __init__(self): self.lastind = 0 self.text = ax.text(0.05, 0.95, 'selected: none', transform=ax.transAxes, va='top') self.selected, = ax.plot([xs[0]], [ys[0]], 'o', ms=12, alpha=0.4, color='yellow', visible=False) def onpress(self, event): if self.lastind is None: return if event.key not in ('n', 'p'): return if event.key == 'n': inc = 1 else: inc = -1 self.lastind += inc self.lastind = np.clip(self.lastind, 0, len(xs) - 1) self.update() def onpick(self, event): if event.artist != line: return True N = len(event.ind) if not N: return True # the click locations x = event.mouseevent.xdata y = event.mouseevent.ydata distances = np.hypot(x - xs[event.ind], y - ys[event.ind]) indmin = distances.argmin() dataind = event.ind[indmin] self.lastind = dataind self.update() def update(self): if self.lastind is None: return dataind = self.lastind ax2.cla() ax2.plot(X[dataind]) ax2.text(0.05, 0.9, 'mu=%1.3f\nsigma=%1.3f' % (xs[dataind], ys[dataind]), transform=ax2.transAxes, va='top') ax2.set_ylim(-0.5, 1.5) self.selected.set_visible(True) self.selected.set_data(xs[dataind], ys[dataind]) self.text.set_text('selected: %d' % dataind) fig.canvas.draw() if __name__ == '__main__': import matplotlib.pyplot as plt # Fixing random state for reproducibility np.random.seed(19680801) X = np.random.rand(100, 200) xs = np.mean(X, axis=1) ys = np.std(X, axis=1) fig, (ax, ax2) = plt.subplots(2, 1) ax.set_title('click on point to plot time series') line, = ax.plot(xs, ys, 'o', picker=5) # 5 points tolerance browser = PointBrowser() fig.canvas.mpl_connect('pick_event', browser.onpick) fig.canvas.mpl_connect('key_press_event', browser.onpress) plt.show() **Total running time of the script:** ( 0 minutes 0.035 seconds) .. only :: html .. container:: sphx-glr-footer .. container:: sphx-glr-download :download:`Download Python source code: data_browser.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: data_browser.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_