Default style for more than 6 data series

Hi all,

Just using the lineplot example but extending this to 8 series:

rs = np.random.RandomState(365)
values = rs.randn(365, 8).cumsum(axis=0)
dates = pd.date_range("1 1 2016", periods=365, freq="D")
data = pd.DataFrame(values, dates, columns=["A", "B", "C", "D", "E", "F", "G", "H"])
data = data.rolling(7).mean()

sns.lineplot(data=data, palette="tab10", linewidth=2.5)

I get this exception, which seems to indicate that I need to specify styles for data series beyond the 6th.

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-12-272055c27972> in <module>()
----> 1 sns.lineplot(data=data, palette="tab10", linewidth=2.5)

C:\Program Files\Anaconda3\envs\py35\lib\site-packages\seaborn\relational.py in
lineplot(x, y, hue, size, style, data, palette, hue_order, hue_norm, sizes, size
_order, size_norm, dashes, markers, style_order, units, estimator, ci, n_boot, s
ort, err_style, err_kws, legend, ax, **kwargs)
   1076         dashes=dashes, markers=markers, style_order=style_order,
   1077         units=units, estimator=estimator, ci=ci, n_boot=n_boot,
-> 1078         sort=sort, err_style=err_style, err_kws=err_kws, legend=legend,
   1079     )
   1080

C:\Program Files\Anaconda3\envs\py35\lib\site-packages\seaborn\relational.py in
__init__(self, x, y, hue, size, style, data, palette, hue_order, hue_norm, sizes
, size_order, size_norm, dashes, markers, style_order, units, estimator, ci, n_b
oot, sort, err_style, err_kws, legend)
    670         self.parse_hue(plot_data["hue"], palette, hue_order, hue_norm)
    671         self.parse_size(plot_data["size"], sizes, size_order, size_norm)

--> 672         self.parse_style(plot_data["style"], markers, dashes, style_orde
r)
    673
    674         self.units = units

C:\Program Files\Anaconda3\envs\py35\lib\site-packages\seaborn\relational.py in
parse_style(self, data, markers, dashes, order)
    492
    493             dashes = self.style_to_attributes(
--> 494                 levels, dashes, self.default_dashes, "dashes"
    495             )
    496

C:\Program Files\Anaconda3\envs\py35\lib\site-packages\seaborn\relational.py in
style_to_attributes(self, levels, style, defaults, name)
    303             if any(missing_levels):
    304                 err = "These `style` levels are missing {}: {}"
--> 305                 raise ValueError(err.format(name, missing_levels))
    306
    307         return attrdict

ValueError: These `style` levels are missing dashes: {'H', 'G'}

Is there a way to automatically set style for large datasets?

[Edit] Seems like it’s because relational.py:30 defines 6 default dashes. Setting sns.lineplot(data=data, dashes=False) fixes the issue.

[ventilator]

sns.scatterplot with a dataframe with more than 6 columns of data has the same problem, it runs out of markers. A workaround for 15 markers is to define filled_markers = ('o', 'v', '^', '<', '>', '8', 's', 'p', '*', 'h', 'H', 'D', 'd', 'P', 'X') and set markers to filled_markers sns.scatterplot(data=df, markers=filled_markers) Source: https://matplotlib.org/2.0.2/api/markers_api.html

[jemshit]

If somebody is trying to add additional styles to default 6 styles:

dash_styles = ["",
               (4, 1.5),
               (1, 1),
               (3, 1, 1.5, 1),
               (5, 1, 1, 1),
               (5, 1, 2, 1, 2, 1),
               (2, 2, 3, 1.5),
               (1, 2.5, 3, 1.2)]

sns.relplot(...,  dashes=dash_styles,...)

Styles tuple must have even number of elements (segment, gap)