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!date

Sun Feb  2 23:33:08 PST 2014

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%matplotlib inline
import matplotlib.pyplot as plt, mpld3
mpld3.enable_notebook("//cdnjs.cloudflare.com/ajax/libs/d3/3.4.1/d3.min.js")

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from mpld3 import plugins

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fig, ax = plt.subplots()
points = ax.plot([3,1,4,1,5,9,2,6,5,3,5,8], 'o-', color='grey', ms=20, mew=5, linewidth=4)
ax.set_ylim(bottom=-1, top=10)
plugins.connect(fig, 
                plugins.ResetButton(),
                plugins.ConfigurableZoomAndPan(
                    ax, zoom_y=False, xlim=(-1,15), ylim=(-1,10))
                )

Particularly useful when you have a long timeseries:

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from sympy.mpmath import mp
mp.dps = 1000  # number of digits
pi = str(mp.pi)

fig, ax = plt.subplots()
points = ax.plot([int(d) for d in pi[2:]], 'o-', color='grey', ms=3, mew=1, linewidth=1)
ax.set_ylim(bottom=-1, top=10)
ax.set_xlim(left=-1, right=100)
plugins.connect(fig, 
                plugins.ResetButton(),
                plugins.ConfigurableZoomAndPan(
                    ax, zoom_y=False, xlim=(-1,1001), ylim=(-1,10))
                )

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