@cpcloud ?

pulling it down now

Still get obnoxious blue:

@cpcloud How did you obtain this plot?

If I do (example from the docs):

pd.options.display.mpl_style = 'default'
df = pd.DataFrame(np.random.randn(1000, 4), index=pd.date_range('1/1/2000', periods=1000), columns=list('ABCD'))
df = df.cumsum()
df.plot()

I get the new color scheme, as you also see in the docs: http://pandas.pydata.org/pandas-docs/dev/visualization.html#basic-plotting-plot

@cpcloud Ah, it seems like you posted the plot in this part of the docs: http://pandas.pydata.org/pandas-docs/dev/visualization.html#suppressing-tick-resolution-adjustment

Well, this one is generated by explicitly stating the colors you want (df.A.plot(color='r')), so it logically follows this and not the default color scheme.

Off course, we could remove this color=.. like this:

with pd.plot_params.use('x_compat', True):
    df.A.plot()
    df.B.plot()
    df.C.plot()

to get rid of these colors in the docs, but then the purpose of the example is a little bit lost, because you could do the same with just df[['A', 'B', 'C']].plot(x_compat=True)

@jorisvandenbossche ready to go?

@cpcloud this ok?

@jreback for me this is ready

Yep good 2 go