Customised dashed linstyle in matplotlib.cycler throws ValueError when using in Axes.set_prop_cycle #15825
Description
Bug report
Bug summary
Using a cycler from matplotlib with a customised dashed linestyle for the property cycle in Axes.set_prop_cycle throws a ValueError (see below). Importing cycler from cycler works as expected.
Code for reproduction
import matplotlib.pyplot as plt
from matplotlib import rcParams
from matplotlib import cycler # from cycler import cycler works fine
cc = cycler('linestyle', [(0,(3,1)), '-'])
fig = plt.figure()
ax = fig.add_subplot(221)
ax.set_prop_cycle(cc)
ax.plot(range(10))Actual outcome
Traceback (most recent call last):
File "err.py", line 10, in <module>
ax.plot(range(10))
File "/usr/local/lib/python3.7/site-packages/matplotlib/axes/_axes.py", line 1665, in plot
lines = [*self._get_lines(*args, data=data, **kwargs)]
File "/usr/local/lib/python3.7/site-packages/matplotlib/axes/_base.py", line 225, in __call__
yield from self._plot_args(this, kwargs)
File "/usr/local/lib/python3.7/site-packages/matplotlib/axes/_base.py", line 405, in _plot_args
seg = func(x[:, j % ncx], y[:, j % ncy], kw, kwargs)
File "/usr/local/lib/python3.7/site-packages/matplotlib/axes/_base.py", line 312, in _makeline
seg = mlines.Line2D(x, y, **kw)
File "/usr/local/lib/python3.7/site-packages/matplotlib/lines.py", line 377, in __init__
self.set_linestyle(linestyle)
File "/usr/local/lib/python3.7/site-packages/matplotlib/lines.py", line 1186, in set_linestyle
cbook._check_in_list([*self._lineStyles, *ls_mapper_r], ls=ls)
File "/usr/local/lib/python3.7/site-packages/matplotlib/cbook/__init__.py", line 2170, in _check_in_list
.format(v, k, ', '.join(map(repr, values))))
ValueError: '(0, (3, 1))' is not a valid value for ls; supported values are '-', '--', '-.', ':', 'None', ' ', '', 'solid', 'dashed', 'dashdot', 'dotted'
Expected outcome
I would expect matplotlib.cycler to work the same as cycler.cycler. However, in this case matplotlib.cycler throws a ValueError.
Matplotlib version
- Operating system: macOS Mojave 10.14.6
- Matplotlib version: 3.1.2
- Matplotlib backend (
print(matplotlib.get_backend())): MacOSX - Python version: 3.7.4
- Jupyter version (if applicable): --
- Other libraries: --
matplotlib installed via pip