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_marker.py
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from plotly.basedatatypes import BaseTraceHierarchyType
import copy
class Marker(BaseTraceHierarchyType):
# blend
# -----
@property
def blend(self):
"""
Determines if colors are blended together for a translucency
effect in case `opacity` is specified as a value less then `1`.
Setting `blend` to `true` reduces zoom/pan speed if used with
large numbers of points.
The 'blend' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self['blend']
@blend.setter
def blend(self, val):
self['blend'] = val
# border
# ------
@property
def border(self):
"""
The 'border' property is an instance of Border
that may be specified as:
- An instance of plotly.graph_objs.pointcloud.marker.Border
- A dict of string/value properties that will be passed
to the Border constructor
Supported dict properties:
arearatio
Specifies what fraction of the marker area is
covered with the border.
color
Sets the stroke color. It accepts a specific
color. If the color is not fully opaque and
there are hundreds of thousands of points, it
may cause slower zooming and panning.
Returns
-------
plotly.graph_objs.pointcloud.marker.Border
"""
return self['border']
@border.setter
def border(self, val):
self['border'] = val
# color
# -----
@property
def color(self):
"""
Sets the marker fill color. It accepts a specific color.If the
color is not fully opaque and there are hundreds of thousandsof
points, it may cause slower zooming and panning.
The 'color' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, saddlebrown, salmon, sandybrown,
seagreen, seashell, sienna, silver, skyblue,
slateblue, slategray, slategrey, snow, springgreen,
steelblue, tan, teal, thistle, tomato, turquoise,
violet, wheat, white, whitesmoke, yellow,
yellowgreen
Returns
-------
str
"""
return self['color']
@color.setter
def color(self, val):
self['color'] = val
# opacity
# -------
@property
def opacity(self):
"""
Sets the marker opacity. The default value is `1` (fully
opaque). If the markers are not fully opaque and there are
hundreds of thousands of points, it may cause slower zooming
and panning. Opacity fades the color even if `blend` is left on
`false` even if there is no translucency effect in that case.
The 'opacity' property is a number and may be specified as:
- An int or float in the interval [0, 1]
Returns
-------
int|float
"""
return self['opacity']
@opacity.setter
def opacity(self, val):
self['opacity'] = val
# sizemax
# -------
@property
def sizemax(self):
"""
Sets the maximum size (in px) of the rendered marker points.
Effective when the `pointcloud` shows only few points.
The 'sizemax' property is a number and may be specified as:
- An int or float in the interval [0.1, inf]
Returns
-------
int|float
"""
return self['sizemax']
@sizemax.setter
def sizemax(self, val):
self['sizemax'] = val
# sizemin
# -------
@property
def sizemin(self):
"""
Sets the minimum size (in px) of the rendered marker points,
effective when the `pointcloud` shows a million or more points.
The 'sizemin' property is a number and may be specified as:
- An int or float in the interval [0.1, 2]
Returns
-------
int|float
"""
return self['sizemin']
@sizemin.setter
def sizemin(self, val):
self['sizemin'] = val
# property parent name
# --------------------
@property
def _parent_path_str(self):
return 'pointcloud'
# Self properties description
# ---------------------------
@property
def _prop_descriptions(self):
return """\
blend
Determines if colors are blended together for a
translucency effect in case `opacity` is specified as a
value less then `1`. Setting `blend` to `true` reduces
zoom/pan speed if used with large numbers of points.
border
plotly.graph_objs.pointcloud.marker.Border instance or
dict with compatible properties
color
Sets the marker fill color. It accepts a specific
color.If the color is not fully opaque and there are
hundreds of thousandsof points, it may cause slower
zooming and panning.
opacity
Sets the marker opacity. The default value is `1`
(fully opaque). If the markers are not fully opaque and
there are hundreds of thousands of points, it may cause
slower zooming and panning. Opacity fades the color
even if `blend` is left on `false` even if there is no
translucency effect in that case.
sizemax
Sets the maximum size (in px) of the rendered marker
points. Effective when the `pointcloud` shows only few
points.
sizemin
Sets the minimum size (in px) of the rendered marker
points, effective when the `pointcloud` shows a million
or more points.
"""
def __init__(
self,
arg=None,
blend=None,
border=None,
color=None,
opacity=None,
sizemax=None,
sizemin=None,
**kwargs
):
"""
Construct a new Marker object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of plotly.graph_objs.pointcloud.Marker
blend
Determines if colors are blended together for a
translucency effect in case `opacity` is specified as a
value less then `1`. Setting `blend` to `true` reduces
zoom/pan speed if used with large numbers of points.
border
plotly.graph_objs.pointcloud.marker.Border instance or
dict with compatible properties
color
Sets the marker fill color. It accepts a specific
color.If the color is not fully opaque and there are
hundreds of thousandsof points, it may cause slower
zooming and panning.
opacity
Sets the marker opacity. The default value is `1`
(fully opaque). If the markers are not fully opaque and
there are hundreds of thousands of points, it may cause
slower zooming and panning. Opacity fades the color
even if `blend` is left on `false` even if there is no
translucency effect in that case.
sizemax
Sets the maximum size (in px) of the rendered marker
points. Effective when the `pointcloud` shows only few
points.
sizemin
Sets the minimum size (in px) of the rendered marker
points, effective when the `pointcloud` shows a million
or more points.
Returns
-------
Marker
"""
super(Marker, self).__init__('marker')
# Validate arg
# ------------
if arg is None:
arg = {}
elif isinstance(arg, self.__class__):
arg = arg.to_plotly_json()
elif isinstance(arg, dict):
arg = copy.copy(arg)
else:
raise ValueError(
"""\
The first argument to the plotly.graph_objs.pointcloud.Marker
constructor must be a dict or
an instance of plotly.graph_objs.pointcloud.Marker"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop('skip_invalid', False)
# Import validators
# -----------------
from plotly.validators.pointcloud import (marker as v_marker)
# Initialize validators
# ---------------------
self._validators['blend'] = v_marker.BlendValidator()
self._validators['border'] = v_marker.BorderValidator()
self._validators['color'] = v_marker.ColorValidator()
self._validators['opacity'] = v_marker.OpacityValidator()
self._validators['sizemax'] = v_marker.SizemaxValidator()
self._validators['sizemin'] = v_marker.SizeminValidator()
# Populate data dict with properties
# ----------------------------------
_v = arg.pop('blend', None)
self['blend'] = blend if blend is not None else _v
_v = arg.pop('border', None)
self['border'] = border if border is not None else _v
_v = arg.pop('color', None)
self['color'] = color if color is not None else _v
_v = arg.pop('opacity', None)
self['opacity'] = opacity if opacity is not None else _v
_v = arg.pop('sizemax', None)
self['sizemax'] = sizemax if sizemax is not None else _v
_v = arg.pop('sizemin', None)
self['sizemin'] = sizemin if sizemin is not None else _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False