VIS/BUG: subplots=True gives rotated tick labels

[jorisvandenbossche]

Problem description

When using the normal plot() method vs plot(subplots=True), you get a different rotation for the ticklabels. I don't think this inconsistency is needed, and would use non-rotated ticklabels for subplots=True as well.

Code Sample

In [6]: df = pd.DataFrame(np.random.randn(20,2), columns=['A', 'B'], index=pd.date_range("2016-01-01", periods=20))

In [8]: df.plot()
Out[8]: <matplotlib.axes._subplots.AxesSubplot at 0x7f00389f0198>

In [9]: df.plot(subplots=True)
Out[9]: 
array([<matplotlib.axes._subplots.AxesSubplot object at 0x7f00333381d0>,
       <matplotlib.axes._subplots.AxesSubplot object at 0x7f00332ddf98>], dtype=object)

The above example is with a time series, but you actually get exactly the same when eg just using the default integer index.

Using pandas master, 0.19.0+289.g1bf94c8

[sinhrks]

Yeah, the default rotation is not needed as users can overwrite via rot kw.