In [1]: N = 10000
In [2]: rng = pd.date_range('1/1/2000', periods=N, freq='min')
In [3]: ts = pd.Series(np.random.randn(N), index=rng)
In [4]: ax = ts.plot()
In [5]: ax.get_xlim()
Out[5]: (15778080.0, 15788079.0)
In [6]: ts.resample('D').plot(style='ro', ax=ax)
Out[6]: <matplotlib.axes.AxesSubplot at 0x4482c50>
In [7]: ax.get_xlim()
Out[7]: (15778080.0, 15788079.0)
In [8]: ts.resample('D').plot(style='ro', secondary_y=True, ax=ax)
Out[8]: <matplotlib.axes.AxesSubplot at 0x497e450>
In [9]: ax.get_xlim()
Out[9]: (10957.0, 10963.0)
As the xlim changes, the original data is not visible any more.
Could be related to #2185
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