pandas.Series.plot ignores color in **kwarg

[mcobzarenco]

E.g.:

pandas.Series(randn(10)).plot(color='red')

Whose output is:

This used to work correctly in pandas 0.7.2

[lodagro]

The mailing list has a related topic: https://groups.google.com/forum/?fromgroups#!topic/pydata/AMKPFPvNgcE
Looking at the code it is clear that a series will always be plotted in blue unless the color is specified in the style argument.

pandas.Series(randn(10)).plot(style='red')

[changhiskhan]

That is indeed a bug.
For now you can use style='r'. We'll update this issue once we put in a fix. Thanks.

On Jul 31, 2012, at 8:32 PM, Marius reply@reply.github.com wrote:

E.g.:

pandas.Series(randn(10)).plot(color='red')

Whose output is:

This used to work correctly in pandas 0.7.2

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Reply to this email directly or view it on GitHub:
#1711

[lodagro]

I fixed this in my view.
The example below now behaves as expected:

In [28]: df = pandas.DataFrame(np.random.randn(4,4), index=list('abcd'))

In [29]: df.plot(style='d--', color='g')  # green dashed lines with diamonds
Out[29]: <matplotlib.axes.AxesSubplot at 0xae729ac>

In [30]: pandas.Series(np.random.randn(10)).plot(color='g')
Out[30]: <matplotlib.axes.AxesSubplot at 0xae729ac>

I have on question though.

In [22]: close('all')

In [23]: pandas.Series(np.random.randn(10)).plot()
Out[23]: <matplotlib.axes.AxesSubplot at 0xab0a82c>

In [24]: hold(True)

In [25]: pandas.Series(np.random.randn(10)).plot()
Out[25]: <matplotlib.axes.AxesSubplot at 0xab0a82c>

This will result in a plot with two lines both blue. In other words there is no color cycling when plotting multiple Series on a single plot. This behavior is different from mpl, is this intentional?