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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"

"http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">

<head>

<title>Data Browser — Matplotlib 2.0.2.post4416.dev0+g1df513f documentation</title>

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<h1>Data Browser<a class="headerlink" href="#data-browser" title="Permalink to this headline">¶</a></h1>

<div class="highlight-python"><div class="highlight"><pre>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) = <a href="../../api/_as_gen/matplotlib.pyplot.subplots.html#matplotlib.pyplot.subplots" title="View documentation for matplotlib.pyplot.subplots">plt.subplots</a>(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)

<a href="../../api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="View documentation for matplotlib.pyplot.show">plt.show</a>()

</pre></div>

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Total running time of the script: ( 0 minutes 0.069 seconds)

<a class="reference download internal" href="../../_downloads/data_browser.py" download=""><code class="xref download docutils literal">Download Python source code: data_browser.py</code></a></div>

<a class="reference download internal" href="../../_downloads/data_browser.ipynb" download=""><code class="xref download docutils literal">Download Jupyter notebook: data_browser.ipynb</code></a></div>

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