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import numpy as np
import matplotlib.pyplot as plt
import pandas.util.testing as t
import pandas.stats.moments as m
def test_series(n=1000):
t.N = n
s = t.makeTimeSeries()
return s
def plot_timeseries(*args, **kwds):
n = len(args)
fig, axes = plt.subplots(n, 1, figsize=kwds.get('size', (10, 5)),
sharex=True)
titles = kwds.get('titles', None)
for k in range(1, n + 1):
ax = axes[k - 1]
ts = args[k - 1]
ax.plot(ts.index, ts.values)
if titles:
ax.set_title(titles[k - 1])
fig.autofmt_xdate()
fig.subplots_adjust(bottom=0.10, top=0.95)
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