title: pandas plot timeseries color per id of the individual time series
body: <p>I currently obtain the following plot:</p>
  <p><a href="https://i.stack.imgur.com/wKsVK.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/wKsVK.png" alt="enter image description here" /></a></p>
  <p>But instead of plotting 2 separate time series which are not related, I want to plot the column metrik_0 with a different color per device_id.</p>
  <pre><code>import pandas as pd
  from pandas import Timestamp
  d = pd.DataFrame({'metrik_0': {Timestamp('2020-01-01 00:00:00'): -0.5161200349325471,
    Timestamp('2020-01-01 01:00:00'): 0.6404118012330947,
    Timestamp('2020-01-01 02:00:00'): -1.0127867504877557,
    Timestamp('2020-01-01 03:00:00'): 0.25828987625529976,
    Timestamp('2020-01-01 04:00:00'): -2.486778084008076,
    Timestamp('2020-01-01 05:00:00'): -0.30695039872663826,
    Timestamp('2020-01-01 06:00:00'): -0.6570670310316116,
    Timestamp('2020-01-01 07:00:00'): 0.3274964731894147,
    Timestamp('2020-01-01 08:00:00'): -0.8624113311084097,
    Timestamp('2020-01-01 09:00:00'): 1.0832911260447902},
   'device_id': {Timestamp('2020-01-01 00:00:00'): 9,
    Timestamp('2020-01-01 01:00:00'): 1,
    Timestamp('2020-01-01 02:00:00'): 1,
    Timestamp('2020-01-01 03:00:00'): 9,
    Timestamp('2020-01-01 04:00:00'): 9,
    Timestamp('2020-01-01 05:00:00'): 9,
    Timestamp('2020-01-01 06:00:00'): 9,
    Timestamp('2020-01-01 07:00:00'): 1,
    Timestamp('2020-01-01 08:00:00'): 1,
    Timestamp('2020-01-01 09:00:00'): 9}})
  
  d.plot()
  </code></pre>
  <p>The following would work when using seaborn.</p>
  <pre><code>import seaborn as sns; sns.set()
  d['device_id'] = d['device_id'].astype(str)
  #display(d.head())
  sns.lineplot(x='index', y='metrik_0', style='device_id', hue='device_id', data=d)
  </code></pre>
  <p>Can this be natively included in the call to plot from pandas?</p>