diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
index 882a3965d7c6..afcea0a274b7 100644
--- a/lib/matplotlib/axes/_axes.py
+++ b/lib/matplotlib/axes/_axes.py
@@ -1091,14 +1091,13 @@ def eventplot(self, positions, orientation='horizontal', lineoffsets=1,
linelengths=1, linewidths=None, colors=None,
linestyles='solid', **kwargs):
"""
- Plot identical parallel lines at specific positions.
+ Plot identical parallel lines at the given positions.
- Plot parallel lines at the given positions. positions should be a 1D
- or 2D array-like object, with each row corresponding to a row or column
- of lines.
+ *positions* should be a 1D or 2D array-like object, with each row
+ corresponding to a row or column of lines.
This type of plot is commonly used in neuroscience for representing
- neural events, where it is commonly called a spike raster, dot raster,
+ neural events, where it is usually called a spike raster, dot raster,
or raster plot.
However, it is useful in any situation where you wish to show the
@@ -1106,40 +1105,68 @@ def eventplot(self, positions, orientation='horizontal', lineoffsets=1,
arrival times of people to a business on each day of the month or the
date of hurricanes each year of the last century.
- *orientation* : [ 'horizontal' | 'vertical' ]
- 'horizontal' : the lines will be vertical and arranged in rows
- 'vertical' : lines will be horizontal and arranged in columns
+ Parameters
+ ----------
+ positions : 1D or 2D array-like object
+ Each value is an event. If *positions* is a 2D array-like, each
+ row corresponds to a row or a column of lines (depending on the
+ *orientation* parameter).
- *lineoffsets* :
- A float or array-like containing floats.
+ orientation : {'horizontal', 'vertical'}, optional
+ Controls the direction of the event collections:
- *linelengths* :
- A float or array-like containing floats.
+ - 'horizontal' : the lines are arranged horizontally in rows,
+ and are vertical.
+ - 'vertical' : the lines are arranged vertically in columns,
+ and are horizontal.
- *linewidths* :
- A float or array-like containing floats.
+ lineoffsets : scalar or sequence of scalars, optional, default: 1
+ The offset of the center of the lines from the origin, in the
+ direction orthogonal to *orientation*.
- *colors*
- must be a sequence of RGBA tuples (e.g., arbitrary color
- strings, etc, not allowed) or a list of such sequences
+ linelengths : scalar or sequence of scalars, optional, default: 1
+ The total height of the lines (i.e. the lines stretches from
+ ``lineoffset - linelength/2`` to ``lineoffset + linelength/2``).
- *linestyles* :
- [ 'solid' | 'dashed' | 'dashdot' | 'dotted' ] or an array of these
- values
+ linewidths : scalar, scalar sequence or None, optional, default: None
+ The line width(s) of the event lines, in points. If it is None,
+ defaults to its rcParams setting.
- For linelengths, linewidths, colors, and linestyles, if only a single
- value is given, that value is applied to all lines. If an array-like
- is given, it must have the same length as positions, and each value
- will be applied to the corresponding row or column in positions.
+ colors : color, sequence of colors or None, optional, default: None
+ The color(s) of the event lines. If it is None, defaults to its
+ rcParams setting.
- Returns a list of :class:`matplotlib.collections.EventCollection`
- objects that were added.
+ linestyles : str or tuple or a sequence of such values, optional
+ Default is 'solid'. Valid strings are ['solid', 'dashed',
+ 'dashdot', 'dotted', '-', '--', '-.', ':']. Dash tuples
+ should be of the form::
- kwargs are :class:`~matplotlib.collections.LineCollection` properties:
+ (offset, onoffseq),
- %(LineCollection)s
+ where *onoffseq* is an even length tuple of on and off ink
+ in points.
- **Example:**
+ **kwargs : optional
+ Other keyword arguments are line collection properties. See
+ :class:`~matplotlib.collections.LineCollection` for a list of
+ the valid properties.
+
+ Returns
+ -------
+
+ A list of :class:`matplotlib.collections.EventCollection` objects that
+ were added.
+
+ Notes
+ -----
+
+ For *linelengths*, *linewidths*, *colors*, and *linestyles*, if only
+ a single value is given, that value is applied to all lines. If an
+ array-like is given, it must have the same length as *positions*, and
+ each value will be applied to the corresponding row of the array.
+
+ Example
+ -------
.. plot:: mpl_examples/pylab_examples/eventplot_demo.py
"""
@@ -1193,6 +1220,15 @@ def eventplot(self, positions, orientation='horizontal', lineoffsets=1,
lineoffsets = [None]
if len(colors) == 0:
colors = [None]
+ try:
+ # Early conversion of the colors into RGBA values to take care
+ # of cases like colors='0.5' or colors='C1'. (Issue #8193)
+ colors = mcolors.to_rgba_array(colors)
+ except ValueError:
+ # Will fail if any element of *colors* is None. But as long
+ # as len(colors) == 1 or len(positions), the rest of the
+ # code should process *colors* properly.
+ pass
if len(lineoffsets) == 1 and len(positions) != 1:
lineoffsets = np.tile(lineoffsets, len(positions))
diff --git a/lib/matplotlib/collections.py b/lib/matplotlib/collections.py
index 230d0030afb4..147d19dffbe1 100644
--- a/lib/matplotlib/collections.py
+++ b/lib/matplotlib/collections.py
@@ -1243,15 +1243,15 @@ class EventCollection(LineCollection):
'''
A collection of discrete events.
- An event is a 1-dimensional value, usually the position of something along
- an axis, such as time or length. Events do not have an amplitude. They
- are displayed as v
+ The events are given by a 1-dimensional array, usually the position of
+ something along an axis, such as time or length. They do not have an
+ amplitude and are displayed as vertical or horizontal parallel bars.
'''
_edge_default = True
def __init__(self,
- positions, # Can be None.
+ positions, # Cannot be None.
orientation=None,
lineoffset=0,
linelength=1,
@@ -1262,62 +1262,60 @@ def __init__(self,
**kwargs
):
"""
- *positions*
- a sequence of numerical values or a 1D numpy array. Can be None
-
- *orientation* [ 'horizontal' | 'vertical' | None ]
- defaults to 'horizontal' if not specified or None
+ Parameters
+ ----------
+ positions : 1D array-like object
+ Each value is an event.
- *lineoffset*
- a single numerical value, corresponding to the offset of the center
- of the markers from the origin
+ orientation : {None, 'horizontal', 'vertical'}, optional
+ The orientation of the **collection** (the event bars are along
+ the orthogonal direction). Defaults to 'horizontal' if not
+ specified or None.
- *linelength*
- a single numerical value, corresponding to the total height of the
- marker (i.e. the marker stretches from lineoffset+linelength/2 to
- lineoffset-linelength/2). Defaults to 1
+ lineoffset : scalar, optional, default: 0
+ The offset of the center of the markers from the origin, in the
+ direction orthogonal to *orientation*.
- *linewidth*
- a single numerical value
+ linelength : scalar, optional, default: 1
+ The total height of the marker (i.e. the marker stretches from
+ ``lineoffset - linelength/2`` to ``lineoffset + linelength/2``).
- *color*
- must be a sequence of RGBA tuples (e.g., arbitrary color
- strings, etc, not allowed).
+ linewidth : scalar or None, optional, default: None
+ If it is None, defaults to its rcParams setting, in sequence form.
- *linestyle* [ 'solid' | 'dashed' | 'dashdot' | 'dotted' ]
+ color : color, sequence of colors or None, optional, default: None
+ If it is None, defaults to its rcParams setting, in sequence form.
- *antialiased*
- 1 or 2
+ linestyle : str or tuple, optional, default: 'solid'
+ Valid strings are ['solid', 'dashed', 'dashdot', 'dotted',
+ '-', '--', '-.', ':']. Dash tuples should be of the form::
- If *linewidth*, *color*, or *antialiased* is None, they
- default to their rcParams setting, in sequence form.
+ (offset, onoffseq),
- *norm*
- None (optional for :class:`matplotlib.cm.ScalarMappable`)
- *cmap*
- None (optional for :class:`matplotlib.cm.ScalarMappable`)
+ where *onoffseq* is an even length tuple of on and off ink
+ in points.
- *pickradius* is the tolerance for mouse clicks picking a line.
- The default is 5 pt.
+ antialiased : {None, 1, 2}, optional
+ If it is None, defaults to its rcParams setting, in sequence form.
- The use of :class:`~matplotlib.cm.ScalarMappable` is optional.
- If the :class:`~matplotlib.cm.ScalarMappable` array
- :attr:`~matplotlib.cm.ScalarMappable._A` is not None (i.e., a call to
- :meth:`~matplotlib.cm.ScalarMappable.set_array` has been made), at
- draw time a call to scalar mappable will be made to set the colors.
+ **kwargs : optional
+ Other keyword arguments are line collection properties. See
+ :class:`~matplotlib.collections.LineCollection` for a list of
+ the valid properties.
- **Example:**
+ Example
+ -------
.. plot:: mpl_examples/pylab_examples/eventcollection_demo.py
"""
segment = (lineoffset + linelength / 2.,
lineoffset - linelength / 2.)
- if len(positions) == 0:
+ if positions is None or len(positions) == 0:
segments = []
elif hasattr(positions, 'ndim') and positions.ndim > 1:
- raise ValueError('if positions is an ndarry it cannot have '
- 'dimensionality great than 1 ')
+ raise ValueError('positions cannot be an array with more than '
+ 'one dimension.')
elif (orientation is None or orientation.lower() == 'none' or
orientation.lower() == 'horizontal'):
positions.sort()
diff --git a/lib/matplotlib/tests/test_axes.py b/lib/matplotlib/tests/test_axes.py
index 2219bda7f61b..83190350b99e 100644
--- a/lib/matplotlib/tests/test_axes.py
+++ b/lib/matplotlib/tests/test_axes.py
@@ -27,6 +27,7 @@
import matplotlib.colors as mcolors
from numpy.testing import assert_allclose, assert_array_equal
from matplotlib.cbook import IgnoredKeywordWarning
+from matplotlib.cbook._backports import broadcast_to
# Note: Some test cases are run twice: once normally and once with labeled data
# These two must be defined in the same test function or need to have
@@ -2909,6 +2910,34 @@ def test_eventplot_defaults():
colls = axobj.eventplot(data)
+@pytest.mark.parametrize(('colors'), [
+ ('0.5',), # string color with multiple characters: not OK before #8193 fix
+ ('tab:orange', 'tab:pink', 'tab:cyan', 'bLacK'), # case-insensitive
+ ('red', (0, 1, 0), None, (1, 0, 1, 0.5)), # a tricky case mixing types
+ ('rgbk',) # len('rgbk') == len(data) and each character is a valid color
+])
+def test_eventplot_colors(colors):
+ '''Test the *colors* parameter of eventplot. Inspired by the issue #8193.
+ '''
+ data = [[i] for i in range(4)] # 4 successive events of different nature
+
+ # Build the list of the expected colors
+ expected = [c if c is not None else 'C0' for c in colors]
+ # Convert the list into an array of RGBA values
+ # NB: ['rgbk'] is not a valid argument for to_rgba_array, while 'rgbk' is.
+ if len(expected) == 1:
+ expected = expected[0]
+ expected = broadcast_to(mcolors.to_rgba_array(expected), (len(data), 4))
+
+ fig, ax = plt.subplots()
+ if len(colors) == 1: # tuple with a single string (like '0.5' or 'rgbk')
+ colors = colors[0]
+ collections = ax.eventplot(data, colors=colors)
+
+ for coll, color in zip(collections, expected):
+ assert_allclose(coll.get_color(), color)
+
+
@image_comparison(baseline_images=['test_eventplot_problem_kwargs'],
extensions=['png'], remove_text=True)
def test_eventplot_problem_kwargs():
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