Two remaining warnings:

In [2]: from pandas import Series, DataFrame, date_range
In [3]: ts = Series(randn(1000), index=date_range('1/1/2000', periods=1000))
In [4]: df = DataFrame(randn(1000, 4), index=ts.index, columns=list('ABCD'))
In [5]: df = df.cumsum()

In [6]: df.plot(subplots=True, layout=(3, 2), figsize=(6, 6), sharex=False)
/home/joris/miniconda/envs/docs/lib/python2.7/site-packages/matplotlib/axes/_axes.py:475: UserWarning: No labelled objects found. Use label='...' kwarg on individual plots.
  warnings.warn("No labelled objects found. "
Out[6]: 
array([[<matplotlib.axes._subplots.AxesSubplot object at 0xafa4d18c>,
        <matplotlib.axes._subplots.AxesSubplot object at 0xaf9deb0c>],
       [<matplotlib.axes._subplots.AxesSubplot object at 0xaf8563cc>,
        <matplotlib.axes._subplots.AxesSubplot object at 0xaf885e6c>],
       [<matplotlib.axes._subplots.AxesSubplot object at 0xaf84588c>,
        <matplotlib.axes._subplots.AxesSubplot object at 0xaf7f590c>]], dtype=object)

and

In [8]: fig, axes = plt.subplots(4, 4, figsize=(6, 6));

In [9]: plt.subplots_adjust(wspace=0.5, hspace=0.5);

In [10]: target1 = [axes[0][0], axes[1][1], axes[2][2], axes[3][3]]

In [11]: target2 = [axes[3][0], axes[2][1], axes[1][2], axes[0][3]]

In [12]: df.plot(subplots=True, ax=target1, legend=False);
/home/joris/scipy/pandas/pandas/tools/plotting.py:3177: UserWarning: When passing multiple axes, sharex and sharey are ignored.These settings must be specified when creating axes
  "These settings must be specified when creating axes", UserWarning)

Uh oh!

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