Label setting in x vs y plot

[wesm]

How can I change the label for a 'col1'-'col2'-plot of a DataFrame? pandas seems to set the label automatically, which then clashes with my label setting:

ch7[:21].plot('det','clat',label='ch7')
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-122-0f4833abff5e> in <module>()
      1 clf()
----> 2 ch7[:21].plot('det','clat',label='ch7')

/Library/Frameworks/EPD64.framework/Versions/7.3/lib/python2.7/site-packages/pandas-0.10.0b1-py2.7-macosx-10.5-x86_64.egg/pandas/tools/plotting.pyc in plot_frame(frame, x, y, subplots, sharex, sharey, use_index, figsize, grid, legend, rot, ax, style, title, xlim, ylim, logy, xticks, yticks, kind, sort_columns, fontsize, secondary_y, **kwds)
   1419                            grid=grid, logy=logy, secondary_y=secondary_y,
   1420                            title=title, figsize=figsize, fontsize=fontsize,
-> 1421                            **kwds)
   1422 
   1423     plot_obj = klass(frame, kind=kind, subplots=subplots, rot=rot,

TypeError: plot_series() got multiple values for keyword argument 'label'

Version: '0.10.0b1'```

[changhiskhan]

Now the label argument sets both xaxis title and legend