Linetype tuples don't work. #352
Description
The documentation says scale_linetype_manual, parameters, values:
"Tuples of the form (offset, (on, off, on, off, ....)) e.g. (0, (1, 1)), (1, (2, 2)), (2, (5, 3, 1, 3))"
But that does not work :(.
import pandas as pd
import plotnine as p9
import numpy as np
line_type_count = 3
df = pd.DataFrame(
{
"x": np.random.random(size=100),
"y": np.random.random(size=100),
"lt": ([str(x) for x in range(line_type_count)] * 200)[:100],
}
)
import plotnine as p9
g = p9.ggplot(df)
g += p9.geom_line(p9.aes(x='x', y='y', ymax='y+1', linetype="lt", group='lt'))
g += p9.scale_linetype_manual(values=(
(0, (1, 1)),
(1, (2, 2)),
(2, (5, 3, 1, 3))
))
g---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
/ssd/upstream/dev/lib/python3.7/site-packages/IPython/core/formatters.py in __call__(self, obj)
700 type_pprinters=self.type_printers,
701 deferred_pprinters=self.deferred_printers)
--> 702 printer.pretty(obj)
703 printer.flush()
704 return stream.getvalue()
/ssd/upstream/dev/lib/python3.7/site-packages/IPython/lib/pretty.py in pretty(self, obj)
397 if cls is not object \
398 and callable(cls.__dict__.get('__repr__')):
--> 399 return _repr_pprint(obj, self, cycle)
400
401 return _default_pprint(obj, self, cycle)
/ssd/upstream/dev/lib/python3.7/site-packages/IPython/lib/pretty.py in _repr_pprint(obj, p, cycle)
687 """A pprint that just redirects to the normal repr function."""
688 # Find newlines and replace them with p.break_()
--> 689 output = repr(obj)
690 for idx,output_line in enumerate(output.splitlines()):
691 if idx:
/ssd/upstream/plotnine_dev/linestyle_errors/plotnine/ggplot.py in __repr__(self)
86 # in the jupyter notebook.
87 if not self.figure:
---> 88 self.draw()
89 plt.show()
90 return '<ggplot: (%d)>' % self.__hash__()
/ssd/upstream/plotnine_dev/linestyle_errors/plotnine/ggplot.py in draw(self, return_ggplot)
179 # new frames knowing that they are separate from the original.
180 with pd.option_context('mode.chained_assignment', None):
--> 181 return self._draw(return_ggplot)
182
183 def _draw(self, return_ggplot=False):
/ssd/upstream/plotnine_dev/linestyle_errors/plotnine/ggplot.py in _draw(self, return_ggplot)
186 # assign a default theme
187 self = deepcopy(self)
--> 188 self._build()
189
190 # If no theme we use the default
/ssd/upstream/plotnine_dev/linestyle_errors/plotnine/ggplot.py in _build(self)
321 if len(npscales):
322 layers.train(npscales)
--> 323 layers.map(npscales)
324
325 # Train coordinate system
/ssd/upstream/plotnine_dev/linestyle_errors/plotnine/layer.py in map(self, scales)
107 def map(self, scales):
108 for l in self:
--> 109 l.data = scales.map_df(l.data)
110
111 def finish_statistics(self):
/ssd/upstream/plotnine_dev/linestyle_errors/plotnine/scales/scales.py in map_df(self, df)
195 # Each scale maps the columns it understands
196 for sc in self:
--> 197 df = sc.map_df(df)
198 return df
199
/ssd/upstream/plotnine_dev/linestyle_errors/plotnine/scales/scale.py in map_df(self, df)
285 aesthetics = set(self.aesthetics) & set(df.columns)
286 for ae in aesthetics:
--> 287 df[ae] = self.map(df[ae])
288
289 return df
/ssd/upstream/plotnine_dev/linestyle_errors/plotnine/scales/scale.py in map(self, x, limits)
438
439 if self.na_translate:
--> 440 bool_idx = pd.isnull(x) | pd.isnull(pal_match)
441 if bool_idx.any():
442 pal_match = [x if i else self.na_value
/ssd/upstream/dev/lib/python3.7/site-packages/pandas/core/ops/__init__.py in wrapper(self, other)
1319 # integer dtypes. Otherwise these are boolean ops
1320 filler = fill_int if is_self_int_dtype and is_other_int_dtype else fill_bool
-> 1321 res_values = na_op(self.values, ovalues)
1322 unfilled = self._constructor(res_values, index=self.index, name=res_name)
1323 filled = filler(unfilled)
/ssd/upstream/dev/lib/python3.7/site-packages/pandas/core/ops/__init__.py in na_op(x, y)
1252 def na_op(x, y):
1253 try:
-> 1254 result = op(x, y)
1255 except TypeError:
1256 assert not isinstance(y, (list, ABCSeries, ABCIndexClass))
ValueError: operands could not be broadcast together with shapes (100,) (100,2) ```
(Matplotlib is 3.1.2, and I can't find any test for scale_linetype_manual)