first commit

This commit is contained in:
Ayxan
2022-05-23 00:16:32 +04:00
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import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._visible import VisibleValidator
from ._unselected import UnselectedValidator
from ._uirevision import UirevisionValidator
from ._uid import UidValidator
from ._texttemplatesrc import TexttemplatesrcValidator
from ._texttemplate import TexttemplateValidator
from ._textsrc import TextsrcValidator
from ._textpositionsrc import TextpositionsrcValidator
from ._textposition import TextpositionValidator
from ._textfont import TextfontValidator
from ._text import TextValidator
from ._sum import SumValidator
from ._subplot import SubplotValidator
from ._stream import StreamValidator
from ._showlegend import ShowlegendValidator
from ._selectedpoints import SelectedpointsValidator
from ._selected import SelectedValidator
from ._opacity import OpacityValidator
from ._name import NameValidator
from ._mode import ModeValidator
from ._metasrc import MetasrcValidator
from ._meta import MetaValidator
from ._marker import MarkerValidator
from ._line import LineValidator
from ._legendrank import LegendrankValidator
from ._legendgrouptitle import LegendgrouptitleValidator
from ._legendgroup import LegendgroupValidator
from ._idssrc import IdssrcValidator
from ._ids import IdsValidator
from ._hovertextsrc import HovertextsrcValidator
from ._hovertext import HovertextValidator
from ._hovertemplatesrc import HovertemplatesrcValidator
from ._hovertemplate import HovertemplateValidator
from ._hoveron import HoveronValidator
from ._hoverlabel import HoverlabelValidator
from ._hoverinfosrc import HoverinfosrcValidator
from ._hoverinfo import HoverinfoValidator
from ._fillcolor import FillcolorValidator
from ._fill import FillValidator
from ._customdatasrc import CustomdatasrcValidator
from ._customdata import CustomdataValidator
from ._csrc import CsrcValidator
from ._connectgaps import ConnectgapsValidator
from ._cliponaxis import CliponaxisValidator
from ._c import CValidator
from ._bsrc import BsrcValidator
from ._b import BValidator
from ._asrc import AsrcValidator
from ._a import AValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._visible.VisibleValidator",
"._unselected.UnselectedValidator",
"._uirevision.UirevisionValidator",
"._uid.UidValidator",
"._texttemplatesrc.TexttemplatesrcValidator",
"._texttemplate.TexttemplateValidator",
"._textsrc.TextsrcValidator",
"._textpositionsrc.TextpositionsrcValidator",
"._textposition.TextpositionValidator",
"._textfont.TextfontValidator",
"._text.TextValidator",
"._sum.SumValidator",
"._subplot.SubplotValidator",
"._stream.StreamValidator",
"._showlegend.ShowlegendValidator",
"._selectedpoints.SelectedpointsValidator",
"._selected.SelectedValidator",
"._opacity.OpacityValidator",
"._name.NameValidator",
"._mode.ModeValidator",
"._metasrc.MetasrcValidator",
"._meta.MetaValidator",
"._marker.MarkerValidator",
"._line.LineValidator",
"._legendrank.LegendrankValidator",
"._legendgrouptitle.LegendgrouptitleValidator",
"._legendgroup.LegendgroupValidator",
"._idssrc.IdssrcValidator",
"._ids.IdsValidator",
"._hovertextsrc.HovertextsrcValidator",
"._hovertext.HovertextValidator",
"._hovertemplatesrc.HovertemplatesrcValidator",
"._hovertemplate.HovertemplateValidator",
"._hoveron.HoveronValidator",
"._hoverlabel.HoverlabelValidator",
"._hoverinfosrc.HoverinfosrcValidator",
"._hoverinfo.HoverinfoValidator",
"._fillcolor.FillcolorValidator",
"._fill.FillValidator",
"._customdatasrc.CustomdatasrcValidator",
"._customdata.CustomdataValidator",
"._csrc.CsrcValidator",
"._connectgaps.ConnectgapsValidator",
"._cliponaxis.CliponaxisValidator",
"._c.CValidator",
"._bsrc.BsrcValidator",
"._b.BValidator",
"._asrc.AsrcValidator",
"._a.AValidator",
],
)

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import _plotly_utils.basevalidators
class AValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="a", parent_name="scatterternary", **kwargs):
super(AValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class AsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="asrc", parent_name="scatterternary", **kwargs):
super(AsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import _plotly_utils.basevalidators
class BValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="b", parent_name="scatterternary", **kwargs):
super(BValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class BsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="bsrc", parent_name="scatterternary", **kwargs):
super(BsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import _plotly_utils.basevalidators
class CValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="c", parent_name="scatterternary", **kwargs):
super(CValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class CliponaxisValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="cliponaxis", parent_name="scatterternary", **kwargs
):
super(CliponaxisValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

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import _plotly_utils.basevalidators
class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="connectgaps", parent_name="scatterternary", **kwargs
):
super(ConnectgapsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class CsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="csrc", parent_name="scatterternary", **kwargs):
super(CsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import _plotly_utils.basevalidators
class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self, plotly_name="customdata", parent_name="scatterternary", **kwargs
):
super(CustomdataValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="customdatasrc", parent_name="scatterternary", **kwargs
):
super(CustomdatasrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import _plotly_utils.basevalidators
class FillValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="fill", parent_name="scatterternary", **kwargs):
super(FillValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["none", "toself", "tonext"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(self, plotly_name="fillcolor", parent_name="scatterternary", **kwargs):
super(FillcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
**kwargs,
)

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import _plotly_utils.basevalidators
class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(self, plotly_name="hoverinfo", parent_name="scatterternary", **kwargs):
super(HoverinfoValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", True),
edit_type=kwargs.pop("edit_type", "none"),
extras=kwargs.pop("extras", ["all", "none", "skip"]),
flags=kwargs.pop("flags", ["a", "b", "c", "text", "name"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="hoverinfosrc", parent_name="scatterternary", **kwargs
):
super(HoverinfosrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import _plotly_utils.basevalidators
class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="hoverlabel", parent_name="scatterternary", **kwargs
):
super(HoverlabelValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
data_docs=kwargs.pop(
"data_docs",
"""
align
Sets the horizontal alignment of the text
content within hover label box. Has an effect
only if the hover label text spans more two or
more lines
alignsrc
Sets the source reference on Chart Studio Cloud
for `align`.
bgcolor
Sets the background color of the hover labels
for this trace
bgcolorsrc
Sets the source reference on Chart Studio Cloud
for `bgcolor`.
bordercolor
Sets the border color of the hover labels for
this trace.
bordercolorsrc
Sets the source reference on Chart Studio Cloud
for `bordercolor`.
font
Sets the font used in hover labels.
namelength
Sets the default length (in number of
characters) of the trace name in the hover
labels for all traces. -1 shows the whole name
regardless of length. 0-3 shows the first 0-3
characters, and an integer >3 will show the
whole name if it is less than that many
characters, but if it is longer, will truncate
to `namelength - 3` characters and add an
ellipsis.
namelengthsrc
Sets the source reference on Chart Studio Cloud
for `namelength`.
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class HoveronValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(self, plotly_name="hoveron", parent_name="scatterternary", **kwargs):
super(HoveronValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
flags=kwargs.pop("flags", ["points", "fills"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="hovertemplate", parent_name="scatterternary", **kwargs
):
super(HovertemplateValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", True),
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import _plotly_utils.basevalidators
class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="hovertemplatesrc", parent_name="scatterternary", **kwargs
):
super(HovertemplatesrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import _plotly_utils.basevalidators
class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="hovertext", parent_name="scatterternary", **kwargs):
super(HovertextValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", True),
edit_type=kwargs.pop("edit_type", "style"),
**kwargs,
)

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import _plotly_utils.basevalidators
class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="hovertextsrc", parent_name="scatterternary", **kwargs
):
super(HovertextsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import _plotly_utils.basevalidators
class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="ids", parent_name="scatterternary", **kwargs):
super(IdsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="idssrc", parent_name="scatterternary", **kwargs):
super(IdssrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import _plotly_utils.basevalidators
class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="legendgroup", parent_name="scatterternary", **kwargs
):
super(LegendgroupValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
**kwargs,
)

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import _plotly_utils.basevalidators
class LegendgrouptitleValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="legendgrouptitle", parent_name="scatterternary", **kwargs
):
super(LegendgrouptitleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Legendgrouptitle"),
data_docs=kwargs.pop(
"data_docs",
"""
font
Sets this legend group's title font.
text
Sets the title of the legend group.
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class LegendrankValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="legendrank", parent_name="scatterternary", **kwargs
):
super(LegendrankValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
**kwargs,
)

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import _plotly_utils.basevalidators
class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="line", parent_name="scatterternary", **kwargs):
super(LineValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Line"),
data_docs=kwargs.pop(
"data_docs",
"""
color
Sets the line color.
dash
Sets the dash style of lines. Set to a dash
type string ("solid", "dot", "dash",
"longdash", "dashdot", or "longdashdot") or a
dash length list in px (eg "5px,10px,2px,2px").
shape
Determines the line shape. With "spline" the
lines are drawn using spline interpolation. The
other available values correspond to step-wise
line shapes.
smoothing
Has an effect only if `shape` is set to
"spline" Sets the amount of smoothing. 0
corresponds to no smoothing (equivalent to a
"linear" shape).
width
Sets the line width (in px).
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="marker", parent_name="scatterternary", **kwargs):
super(MarkerValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Marker"),
data_docs=kwargs.pop(
"data_docs",
"""
autocolorscale
Determines whether the colorscale is a default
palette (`autocolorscale: true`) or the palette
determined by `marker.colorscale`. Has an
effect only if in `marker.color` is set to a
numerical array. In case `colorscale` is
unspecified or `autocolorscale` is true, the
default palette will be chosen according to
whether numbers in the `color` array are all
positive, all negative or mixed.
cauto
Determines whether or not the color domain is
computed with respect to the input data (here
in `marker.color`) or the bounds set in
`marker.cmin` and `marker.cmax` Has an effect
only if in `marker.color` is set to a numerical
array. Defaults to `false` when `marker.cmin`
and `marker.cmax` are set by the user.
cmax
Sets the upper bound of the color domain. Has
an effect only if in `marker.color` is set to a
numerical array. Value should have the same
units as in `marker.color` and if set,
`marker.cmin` must be set as well.
cmid
Sets the mid-point of the color domain by
scaling `marker.cmin` and/or `marker.cmax` to
be equidistant to this point. Has an effect
only if in `marker.color` is set to a numerical
array. Value should have the same units as in
`marker.color`. Has no effect when
`marker.cauto` is `false`.
cmin
Sets the lower bound of the color domain. Has
an effect only if in `marker.color` is set to a
numerical array. Value should have the same
units as in `marker.color` and if set,
`marker.cmax` must be set as well.
color
Sets the marker color. It accepts either a
specific color or an array of numbers that are
mapped to the colorscale relative to the max
and min values of the array or relative to
`marker.cmin` and `marker.cmax` if set.
coloraxis
Sets a reference to a shared color axis.
References to these shared color axes are
"coloraxis", "coloraxis2", "coloraxis3", etc.
Settings for these shared color axes are set in
the layout, under `layout.coloraxis`,
`layout.coloraxis2`, etc. Note that multiple
color scales can be linked to the same color
axis.
colorbar
:class:`plotly.graph_objects.scatterternary.mar
ker.ColorBar` instance or dict with compatible
properties
colorscale
Sets the colorscale. Has an effect only if in
`marker.color` is set to a numerical array. The
colorscale must be an array containing arrays
mapping a normalized value to an rgb, rgba,
hex, hsl, hsv, or named color string. At
minimum, a mapping for the lowest (0) and
highest (1) values are required. For example,
`[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
To control the bounds of the colorscale in
color space, use `marker.cmin` and
`marker.cmax`. Alternatively, `colorscale` may
be a palette name string of the following list:
Blackbody,Bluered,Blues,Cividis,Earth,Electric,
Greens,Greys,Hot,Jet,Picnic,Portland,Rainbow,Rd
Bu,Reds,Viridis,YlGnBu,YlOrRd.
colorsrc
Sets the source reference on Chart Studio Cloud
for `color`.
gradient
:class:`plotly.graph_objects.scatterternary.mar
ker.Gradient` instance or dict with compatible
properties
line
:class:`plotly.graph_objects.scatterternary.mar
ker.Line` instance or dict with compatible
properties
maxdisplayed
Sets a maximum number of points to be drawn on
the graph. 0 corresponds to no limit.
opacity
Sets the marker opacity.
opacitysrc
Sets the source reference on Chart Studio Cloud
for `opacity`.
reversescale
Reverses the color mapping if true. Has an
effect only if in `marker.color` is set to a
numerical array. If true, `marker.cmin` will
correspond to the last color in the array and
`marker.cmax` will correspond to the first
color.
showscale
Determines whether or not a colorbar is
displayed for this trace. Has an effect only if
in `marker.color` is set to a numerical array.
size
Sets the marker size (in px).
sizemin
Has an effect only if `marker.size` is set to a
numerical array. Sets the minimum size (in px)
of the rendered marker points.
sizemode
Has an effect only if `marker.size` is set to a
numerical array. Sets the rule for which the
data in `size` is converted to pixels.
sizeref
Has an effect only if `marker.size` is set to a
numerical array. Sets the scale factor used to
determine the rendered size of marker points.
Use with `sizemin` and `sizemode`.
sizesrc
Sets the source reference on Chart Studio Cloud
for `size`.
symbol
Sets the marker symbol type. Adding 100 is
equivalent to appending "-open" to a symbol
name. Adding 200 is equivalent to appending
"-dot" to a symbol name. Adding 300 is
equivalent to appending "-open-dot" or "dot-
open" to a symbol name.
symbolsrc
Sets the source reference on Chart Studio Cloud
for `symbol`.
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="meta", parent_name="scatterternary", **kwargs):
super(MetaValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", True),
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

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import _plotly_utils.basevalidators
class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="metasrc", parent_name="scatterternary", **kwargs):
super(MetasrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import _plotly_utils.basevalidators
class ModeValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(self, plotly_name="mode", parent_name="scatterternary", **kwargs):
super(ModeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
extras=kwargs.pop("extras", ["none"]),
flags=kwargs.pop("flags", ["lines", "markers", "text"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class NameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="name", parent_name="scatterternary", **kwargs):
super(NameValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
**kwargs,
)

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import _plotly_utils.basevalidators
class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="opacity", parent_name="scatterternary", **kwargs):
super(OpacityValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
max=kwargs.pop("max", 1),
min=kwargs.pop("min", 0),
**kwargs,
)

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import _plotly_utils.basevalidators
class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="selected", parent_name="scatterternary", **kwargs):
super(SelectedValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Selected"),
data_docs=kwargs.pop(
"data_docs",
"""
marker
:class:`plotly.graph_objects.scatterternary.sel
ected.Marker` instance or dict with compatible
properties
textfont
:class:`plotly.graph_objects.scatterternary.sel
ected.Textfont` instance or dict with
compatible properties
""",
),
**kwargs,
)

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@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(
self, plotly_name="selectedpoints", parent_name="scatterternary", **kwargs
):
super(SelectedpointsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

View File

@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="showlegend", parent_name="scatterternary", **kwargs
):
super(ShowlegendValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
**kwargs,
)

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@ -0,0 +1,25 @@
import _plotly_utils.basevalidators
class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="stream", parent_name="scatterternary", **kwargs):
super(StreamValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Stream"),
data_docs=kwargs.pop(
"data_docs",
"""
maxpoints
Sets the maximum number of points to keep on
the plots from an incoming stream. If
`maxpoints` is set to 50, only the newest 50
points will be displayed on the plot.
token
The stream id number links a data trace on a
plot with a stream. See https://chart-
studio.plotly.com/settings for more details.
""",
),
**kwargs,
)

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@ -0,0 +1,12 @@
import _plotly_utils.basevalidators
class SubplotValidator(_plotly_utils.basevalidators.SubplotidValidator):
def __init__(self, plotly_name="subplot", parent_name="scatterternary", **kwargs):
super(SubplotValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
dflt=kwargs.pop("dflt", "ternary"),
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

View File

@ -0,0 +1,12 @@
import _plotly_utils.basevalidators
class SumValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="sum", parent_name="scatterternary", **kwargs):
super(SumValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

@ -0,0 +1,12 @@
import _plotly_utils.basevalidators
class TextValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="text", parent_name="scatterternary", **kwargs):
super(TextValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", True),
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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@ -0,0 +1,46 @@
import _plotly_utils.basevalidators
class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="textfont", parent_name="scatterternary", **kwargs):
super(TextfontValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Textfont"),
data_docs=kwargs.pop(
"data_docs",
"""
color
colorsrc
Sets the source reference on Chart Studio Cloud
for `color`.
family
HTML font family - the typeface that will be
applied by the web browser. The web browser
will only be able to apply a font if it is
available on the system which it operates.
Provide multiple font families, separated by
commas, to indicate the preference in which to
apply fonts if they aren't available on the
system. The Chart Studio Cloud (at
https://chart-studio.plotly.com or on-premise)
generates images on a server, where only a
select number of fonts are installed and
supported. These include "Arial", "Balto",
"Courier New", "Droid Sans",, "Droid Serif",
"Droid Sans Mono", "Gravitas One", "Old
Standard TT", "Open Sans", "Overpass", "PT Sans
Narrow", "Raleway", "Times New Roman".
familysrc
Sets the source reference on Chart Studio Cloud
for `family`.
size
sizesrc
Sets the source reference on Chart Studio Cloud
for `size`.
""",
),
**kwargs,
)

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@ -0,0 +1,28 @@
import _plotly_utils.basevalidators
class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="textposition", parent_name="scatterternary", **kwargs
):
super(TextpositionValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", True),
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop(
"values",
[
"top left",
"top center",
"top right",
"middle left",
"middle center",
"middle right",
"bottom left",
"bottom center",
"bottom right",
],
),
**kwargs,
)

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@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="textpositionsrc", parent_name="scatterternary", **kwargs
):
super(TextpositionsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="textsrc", parent_name="scatterternary", **kwargs):
super(TextsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="texttemplate", parent_name="scatterternary", **kwargs
):
super(TexttemplateValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", True),
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

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@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="texttemplatesrc", parent_name="scatterternary", **kwargs
):
super(TexttemplatesrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class UidValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="uid", parent_name="scatterternary", **kwargs):
super(UidValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

View File

@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(
self, plotly_name="uirevision", parent_name="scatterternary", **kwargs
):
super(UirevisionValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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@ -0,0 +1,26 @@
import _plotly_utils.basevalidators
class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="unselected", parent_name="scatterternary", **kwargs
):
super(UnselectedValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Unselected"),
data_docs=kwargs.pop(
"data_docs",
"""
marker
:class:`plotly.graph_objects.scatterternary.uns
elected.Marker` instance or dict with
compatible properties
textfont
:class:`plotly.graph_objects.scatterternary.uns
elected.Textfont` instance or dict with
compatible properties
""",
),
**kwargs,
)

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@ -0,0 +1,12 @@
import _plotly_utils.basevalidators
class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="visible", parent_name="scatterternary", **kwargs):
super(VisibleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", [True, False, "legendonly"]),
**kwargs,
)

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@ -0,0 +1,31 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._namelengthsrc import NamelengthsrcValidator
from ._namelength import NamelengthValidator
from ._font import FontValidator
from ._bordercolorsrc import BordercolorsrcValidator
from ._bordercolor import BordercolorValidator
from ._bgcolorsrc import BgcolorsrcValidator
from ._bgcolor import BgcolorValidator
from ._alignsrc import AlignsrcValidator
from ._align import AlignValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._namelengthsrc.NamelengthsrcValidator",
"._namelength.NamelengthValidator",
"._font.FontValidator",
"._bordercolorsrc.BordercolorsrcValidator",
"._bordercolor.BordercolorValidator",
"._bgcolorsrc.BgcolorsrcValidator",
"._bgcolor.BgcolorValidator",
"._alignsrc.AlignsrcValidator",
"._align.AlignValidator",
],
)

View File

@ -0,0 +1,15 @@
import _plotly_utils.basevalidators
class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="align", parent_name="scatterternary.hoverlabel", **kwargs
):
super(AlignValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", True),
edit_type=kwargs.pop("edit_type", "none"),
values=kwargs.pop("values", ["left", "right", "auto"]),
**kwargs,
)

View File

@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="alignsrc", parent_name="scatterternary.hoverlabel", **kwargs
):
super(AlignsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="bgcolor", parent_name="scatterternary.hoverlabel", **kwargs
):
super(BgcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", True),
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self,
plotly_name="bgcolorsrc",
parent_name="scatterternary.hoverlabel",
**kwargs,
):
super(BgcolorsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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@ -0,0 +1,17 @@
import _plotly_utils.basevalidators
class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self,
plotly_name="bordercolor",
parent_name="scatterternary.hoverlabel",
**kwargs,
):
super(BordercolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", True),
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self,
plotly_name="bordercolorsrc",
parent_name="scatterternary.hoverlabel",
**kwargs,
):
super(BordercolorsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@ -0,0 +1,48 @@
import _plotly_utils.basevalidators
class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="font", parent_name="scatterternary.hoverlabel", **kwargs
):
super(FontValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Font"),
data_docs=kwargs.pop(
"data_docs",
"""
color
colorsrc
Sets the source reference on Chart Studio Cloud
for `color`.
family
HTML font family - the typeface that will be
applied by the web browser. The web browser
will only be able to apply a font if it is
available on the system which it operates.
Provide multiple font families, separated by
commas, to indicate the preference in which to
apply fonts if they aren't available on the
system. The Chart Studio Cloud (at
https://chart-studio.plotly.com or on-premise)
generates images on a server, where only a
select number of fonts are installed and
supported. These include "Arial", "Balto",
"Courier New", "Droid Sans",, "Droid Serif",
"Droid Sans Mono", "Gravitas One", "Old
Standard TT", "Open Sans", "Overpass", "PT Sans
Narrow", "Raleway", "Times New Roman".
familysrc
Sets the source reference on Chart Studio Cloud
for `family`.
size
sizesrc
Sets the source reference on Chart Studio Cloud
for `size`.
""",
),
**kwargs,
)

View File

@ -0,0 +1,18 @@
import _plotly_utils.basevalidators
class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self,
plotly_name="namelength",
parent_name="scatterternary.hoverlabel",
**kwargs,
):
super(NamelengthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", True),
edit_type=kwargs.pop("edit_type", "none"),
min=kwargs.pop("min", -1),
**kwargs,
)

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@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self,
plotly_name="namelengthsrc",
parent_name="scatterternary.hoverlabel",
**kwargs,
):
super(NamelengthsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@ -0,0 +1,25 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._sizesrc import SizesrcValidator
from ._size import SizeValidator
from ._familysrc import FamilysrcValidator
from ._family import FamilyValidator
from ._colorsrc import ColorsrcValidator
from ._color import ColorValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._sizesrc.SizesrcValidator",
"._size.SizeValidator",
"._familysrc.FamilysrcValidator",
"._family.FamilyValidator",
"._colorsrc.ColorsrcValidator",
"._color.ColorValidator",
],
)

View File

@ -0,0 +1,17 @@
import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self,
plotly_name="color",
parent_name="scatterternary.hoverlabel.font",
**kwargs,
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", True),
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self,
plotly_name="colorsrc",
parent_name="scatterternary.hoverlabel.font",
**kwargs,
):
super(ColorsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@ -0,0 +1,19 @@
import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="family",
parent_name="scatterternary.hoverlabel.font",
**kwargs,
):
super(FamilyValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", True),
edit_type=kwargs.pop("edit_type", "none"),
no_blank=kwargs.pop("no_blank", True),
strict=kwargs.pop("strict", True),
**kwargs,
)

View File

@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self,
plotly_name="familysrc",
parent_name="scatterternary.hoverlabel.font",
**kwargs,
):
super(FamilysrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@ -0,0 +1,15 @@
import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="size", parent_name="scatterternary.hoverlabel.font", **kwargs
):
super(SizeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", True),
edit_type=kwargs.pop("edit_type", "none"),
min=kwargs.pop("min", 1),
**kwargs,
)

View File

@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self,
plotly_name="sizesrc",
parent_name="scatterternary.hoverlabel.font",
**kwargs,
):
super(SizesrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@ -0,0 +1,12 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._text import TextValidator
from ._font import FontValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [], ["._text.TextValidator", "._font.FontValidator"]
)

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@ -0,0 +1,42 @@
import _plotly_utils.basevalidators
class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self,
plotly_name="font",
parent_name="scatterternary.legendgrouptitle",
**kwargs,
):
super(FontValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Font"),
data_docs=kwargs.pop(
"data_docs",
"""
color
family
HTML font family - the typeface that will be
applied by the web browser. The web browser
will only be able to apply a font if it is
available on the system which it operates.
Provide multiple font families, separated by
commas, to indicate the preference in which to
apply fonts if they aren't available on the
system. The Chart Studio Cloud (at
https://chart-studio.plotly.com or on-premise)
generates images on a server, where only a
select number of fonts are installed and
supported. These include "Arial", "Balto",
"Courier New", "Droid Sans",, "Droid Serif",
"Droid Sans Mono", "Gravitas One", "Old
Standard TT", "Open Sans", "Overpass", "PT Sans
Narrow", "Raleway", "Times New Roman".
size
""",
),
**kwargs,
)

View File

@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class TextValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="text",
parent_name="scatterternary.legendgrouptitle",
**kwargs,
):
super(TextValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
**kwargs,
)

View File

@ -0,0 +1,15 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._size import SizeValidator
from ._family import FamilyValidator
from ._color import ColorValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
)

View File

@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self,
plotly_name="color",
parent_name="scatterternary.legendgrouptitle.font",
**kwargs,
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
**kwargs,
)

View File

@ -0,0 +1,18 @@
import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="family",
parent_name="scatterternary.legendgrouptitle.font",
**kwargs,
):
super(FamilyValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
no_blank=kwargs.pop("no_blank", True),
strict=kwargs.pop("strict", True),
**kwargs,
)

View File

@ -0,0 +1,17 @@
import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self,
plotly_name="size",
parent_name="scatterternary.legendgrouptitle.font",
**kwargs,
):
super(SizeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
min=kwargs.pop("min", 1),
**kwargs,
)

View File

@ -0,0 +1,23 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._width import WidthValidator
from ._smoothing import SmoothingValidator
from ._shape import ShapeValidator
from ._dash import DashValidator
from ._color import ColorValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._width.WidthValidator",
"._smoothing.SmoothingValidator",
"._shape.ShapeValidator",
"._dash.DashValidator",
"._color.ColorValidator",
],
)

View File

@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="scatterternary.line", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
**kwargs,
)

View File

@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class DashValidator(_plotly_utils.basevalidators.DashValidator):
def __init__(self, plotly_name="dash", parent_name="scatterternary.line", **kwargs):
super(DashValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
values=kwargs.pop(
"values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
),
**kwargs,
)

View File

@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class ShapeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="shape", parent_name="scatterternary.line", **kwargs
):
super(ShapeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
values=kwargs.pop("values", ["linear", "spline"]),
**kwargs,
)

View File

@ -0,0 +1,15 @@
import _plotly_utils.basevalidators
class SmoothingValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="smoothing", parent_name="scatterternary.line", **kwargs
):
super(SmoothingValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
max=kwargs.pop("max", 1.3),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="width", parent_name="scatterternary.line", **kwargs
):
super(WidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

@ -0,0 +1,61 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._symbolsrc import SymbolsrcValidator
from ._symbol import SymbolValidator
from ._sizesrc import SizesrcValidator
from ._sizeref import SizerefValidator
from ._sizemode import SizemodeValidator
from ._sizemin import SizeminValidator
from ._size import SizeValidator
from ._showscale import ShowscaleValidator
from ._reversescale import ReversescaleValidator
from ._opacitysrc import OpacitysrcValidator
from ._opacity import OpacityValidator
from ._maxdisplayed import MaxdisplayedValidator
from ._line import LineValidator
from ._gradient import GradientValidator
from ._colorsrc import ColorsrcValidator
from ._colorscale import ColorscaleValidator
from ._colorbar import ColorbarValidator
from ._coloraxis import ColoraxisValidator
from ._color import ColorValidator
from ._cmin import CminValidator
from ._cmid import CmidValidator
from ._cmax import CmaxValidator
from ._cauto import CautoValidator
from ._autocolorscale import AutocolorscaleValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._symbolsrc.SymbolsrcValidator",
"._symbol.SymbolValidator",
"._sizesrc.SizesrcValidator",
"._sizeref.SizerefValidator",
"._sizemode.SizemodeValidator",
"._sizemin.SizeminValidator",
"._size.SizeValidator",
"._showscale.ShowscaleValidator",
"._reversescale.ReversescaleValidator",
"._opacitysrc.OpacitysrcValidator",
"._opacity.OpacityValidator",
"._maxdisplayed.MaxdisplayedValidator",
"._line.LineValidator",
"._gradient.GradientValidator",
"._colorsrc.ColorsrcValidator",
"._colorscale.ColorscaleValidator",
"._colorbar.ColorbarValidator",
"._coloraxis.ColoraxisValidator",
"._color.ColorValidator",
"._cmin.CminValidator",
"._cmid.CmidValidator",
"._cmax.CmaxValidator",
"._cauto.CautoValidator",
"._autocolorscale.AutocolorscaleValidator",
],
)

View File

@ -0,0 +1,17 @@
import _plotly_utils.basevalidators
class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self,
plotly_name="autocolorscale",
parent_name="scatterternary.marker",
**kwargs,
):
super(AutocolorscaleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
implied_edits=kwargs.pop("implied_edits", {}),
**kwargs,
)

View File

@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="cauto", parent_name="scatterternary.marker", **kwargs
):
super(CautoValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
implied_edits=kwargs.pop("implied_edits", {}),
**kwargs,
)

View File

@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="cmax", parent_name="scatterternary.marker", **kwargs
):
super(CmaxValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
**kwargs,
)

View File

@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="cmid", parent_name="scatterternary.marker", **kwargs
):
super(CmidValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
implied_edits=kwargs.pop("implied_edits", {}),
**kwargs,
)

View File

@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class CminValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="cmin", parent_name="scatterternary.marker", **kwargs
):
super(CminValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
**kwargs,
)

View File

@ -0,0 +1,17 @@
import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="scatterternary.marker", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", True),
edit_type=kwargs.pop("edit_type", "style"),
colorscale_path=kwargs.pop(
"colorscale_path", "scatterternary.marker.colorscale"
),
**kwargs,
)

View File

@ -0,0 +1,15 @@
import _plotly_utils.basevalidators
class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
def __init__(
self, plotly_name="coloraxis", parent_name="scatterternary.marker", **kwargs
):
super(ColoraxisValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
dflt=kwargs.pop("dflt", None),
edit_type=kwargs.pop("edit_type", "calc"),
regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
**kwargs,
)

View File

@ -0,0 +1,264 @@
import _plotly_utils.basevalidators
class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="colorbar", parent_name="scatterternary.marker", **kwargs
):
super(ColorbarValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "ColorBar"),
data_docs=kwargs.pop(
"data_docs",
"""
bgcolor
Sets the color of padded area.
bordercolor
Sets the axis line color.
borderwidth
Sets the width (in px) or the border enclosing
this color bar.
dtick
Sets the step in-between ticks on this axis.
Use with `tick0`. Must be a positive number, or
special strings available to "log" and "date"
axes. If the axis `type` is "log", then ticks
are set every 10^(n*dtick) where n is the tick
number. For example, to set a tick mark at 1,
10, 100, 1000, ... set dtick to 1. To set tick
marks at 1, 100, 10000, ... set dtick to 2. To
set tick marks at 1, 5, 25, 125, 625, 3125, ...
set dtick to log_10(5), or 0.69897000433. "log"
has several special values; "L<f>", where `f`
is a positive number, gives ticks linearly
spaced in value (but not position). For example
`tick0` = 0.1, `dtick` = "L0.5" will put ticks
at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
plus small digits between, use "D1" (all
digits) or "D2" (only 2 and 5). `tick0` is
ignored for "D1" and "D2". If the axis `type`
is "date", then you must convert the time to
milliseconds. For example, to set the interval
between ticks to one day, set `dtick` to
86400000.0. "date" also has special values
"M<n>" gives ticks spaced by a number of
months. `n` must be a positive integer. To set
ticks on the 15th of every third month, set
`tick0` to "2000-01-15" and `dtick` to "M3". To
set ticks every 4 years, set `dtick` to "M48"
exponentformat
Determines a formatting rule for the tick
exponents. For example, consider the number
1,000,000,000. If "none", it appears as
1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
"power", 1x10^9 (with 9 in a super script). If
"SI", 1G. If "B", 1B.
len
Sets the length of the color bar This measure
excludes the padding of both ends. That is, the
color bar length is this length minus the
padding on both ends.
lenmode
Determines whether this color bar's length
(i.e. the measure in the color variation
direction) is set in units of plot "fraction"
or in *pixels. Use `len` to set the value.
minexponent
Hide SI prefix for 10^n if |n| is below this
number. This only has an effect when
`tickformat` is "SI" or "B".
nticks
Specifies the maximum number of ticks for the
particular axis. The actual number of ticks
will be chosen automatically to be less than or
equal to `nticks`. Has an effect only if
`tickmode` is set to "auto".
orientation
Sets the orientation of the colorbar.
outlinecolor
Sets the axis line color.
outlinewidth
Sets the width (in px) of the axis line.
separatethousands
If "true", even 4-digit integers are separated
showexponent
If "all", all exponents are shown besides their
significands. If "first", only the exponent of
the first tick is shown. If "last", only the
exponent of the last tick is shown. If "none",
no exponents appear.
showticklabels
Determines whether or not the tick labels are
drawn.
showtickprefix
If "all", all tick labels are displayed with a
prefix. If "first", only the first tick is
displayed with a prefix. If "last", only the
last tick is displayed with a suffix. If
"none", tick prefixes are hidden.
showticksuffix
Same as `showtickprefix` but for tick suffixes.
thickness
Sets the thickness of the color bar This
measure excludes the size of the padding, ticks
and labels.
thicknessmode
Determines whether this color bar's thickness
(i.e. the measure in the constant color
direction) is set in units of plot "fraction"
or in "pixels". Use `thickness` to set the
value.
tick0
Sets the placement of the first tick on this
axis. Use with `dtick`. If the axis `type` is
"log", then you must take the log of your
starting tick (e.g. to set the starting tick to
100, set the `tick0` to 2) except when
`dtick`=*L<f>* (see `dtick` for more info). If
the axis `type` is "date", it should be a date
string, like date data. If the axis `type` is
"category", it should be a number, using the
scale where each category is assigned a serial
number from zero in the order it appears.
tickangle
Sets the angle of the tick labels with respect
to the horizontal. For example, a `tickangle`
of -90 draws the tick labels vertically.
tickcolor
Sets the tick color.
tickfont
Sets the color bar's tick label font
tickformat
Sets the tick label formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/tree/v1.4.5#d3-f
ormat. And for dates see:
https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two
items to d3's date formatter: "%h" for half of
the year as a decimal number as well as "%{n}f"
for fractional seconds with n digits. For
example, *2016-10-13 09:15:23.456* with
tickformat "%H~%M~%S.%2f" would display
"09~15~23.46"
tickformatstops
A tuple of :class:`plotly.graph_objects.scatter
ternary.marker.colorbar.Tickformatstop`
instances or dicts with compatible properties
tickformatstopdefaults
When used in a template (as layout.template.dat
a.scatterternary.marker.colorbar.tickformatstop
defaults), sets the default property values to
use for elements of
scatterternary.marker.colorbar.tickformatstops
ticklabeloverflow
Determines how we handle tick labels that would
overflow either the graph div or the domain of
the axis. The default value for inside tick
labels is *hide past domain*. In other cases
the default is *hide past div*.
ticklabelposition
Determines where tick labels are drawn relative
to the ticks. Left and right options are used
when `orientation` is "h", top and bottom when
`orientation` is "v".
ticklabelstep
Sets the spacing between tick labels as
compared to the spacing between ticks. A value
of 1 (default) means each tick gets a label. A
value of 2 means shows every 2nd label. A
larger value n means only every nth tick is
labeled. `tick0` determines which labels are
shown. Not implemented for axes with `type`
"log" or "multicategory", or when `tickmode` is
"array".
ticklen
Sets the tick length (in px).
tickmode
Sets the tick mode for this axis. If "auto",
the number of ticks is set via `nticks`. If
"linear", the placement of the ticks is
determined by a starting position `tick0` and a
tick step `dtick` ("linear" is the default
value if `tick0` and `dtick` are provided). If
"array", the placement of the ticks is set via
`tickvals` and the tick text is `ticktext`.
("array" is the default value if `tickvals` is
provided).
tickprefix
Sets a tick label prefix.
ticks
Determines whether ticks are drawn or not. If
"", this axis' ticks are not drawn. If
"outside" ("inside"), this axis' are drawn
outside (inside) the axis lines.
ticksuffix
Sets a tick label suffix.
ticktext
Sets the text displayed at the ticks position
via `tickvals`. Only has an effect if
`tickmode` is set to "array". Used with
`tickvals`.
ticktextsrc
Sets the source reference on Chart Studio Cloud
for `ticktext`.
tickvals
Sets the values at which ticks on this axis
appear. Only has an effect if `tickmode` is set
to "array". Used with `ticktext`.
tickvalssrc
Sets the source reference on Chart Studio Cloud
for `tickvals`.
tickwidth
Sets the tick width (in px).
title
:class:`plotly.graph_objects.scatterternary.mar
ker.colorbar.Title` instance or dict with
compatible properties
titlefont
Deprecated: Please use
scatterternary.marker.colorbar.title.font
instead. Sets this color bar's title font. Note
that the title's font used to be set by the now
deprecated `titlefont` attribute.
titleside
Deprecated: Please use
scatterternary.marker.colorbar.title.side
instead. Determines the location of color bar's
title with respect to the color bar. Defaults
to "top" when `orientation` if "v" and
defaults to "right" when `orientation` if "h".
Note that the title's location used to be set
by the now deprecated `titleside` attribute.
x
Sets the x position of the color bar (in plot
fraction). Defaults to 1.02 when `orientation`
is "v" and 0.5 when `orientation` is "h".
xanchor
Sets this color bar's horizontal position
anchor. This anchor binds the `x` position to
the "left", "center" or "right" of the color
bar. Defaults to "left" when `orientation` is
"v" and "center" when `orientation` is "h".
xpad
Sets the amount of padding (in px) along the x
direction.
y
Sets the y position of the color bar (in plot
fraction). Defaults to 0.5 when `orientation`
is "v" and 1.02 when `orientation` is "h".
yanchor
Sets this color bar's vertical position anchor
This anchor binds the `y` position to the
"top", "middle" or "bottom" of the color bar.
Defaults to "middle" when `orientation` is "v"
and "bottom" when `orientation` is "h".
ypad
Sets the amount of padding (in px) along the y
direction.
""",
),
**kwargs,
)

View File

@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
def __init__(
self, plotly_name="colorscale", parent_name="scatterternary.marker", **kwargs
):
super(ColorscaleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
**kwargs,
)

View File

@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="colorsrc", parent_name="scatterternary.marker", **kwargs
):
super(ColorsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@ -0,0 +1,31 @@
import _plotly_utils.basevalidators
class GradientValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="gradient", parent_name="scatterternary.marker", **kwargs
):
super(GradientValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Gradient"),
data_docs=kwargs.pop(
"data_docs",
"""
color
Sets the final color of the gradient fill: the
center color for radial, the right for
horizontal, or the bottom for vertical.
colorsrc
Sets the source reference on Chart Studio Cloud
for `color`.
type
Sets the type of gradient used to fill the
markers
typesrc
Sets the source reference on Chart Studio Cloud
for `type`.
""",
),
**kwargs,
)

View File

@ -0,0 +1,107 @@
import _plotly_utils.basevalidators
class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="line", parent_name="scatterternary.marker", **kwargs
):
super(LineValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Line"),
data_docs=kwargs.pop(
"data_docs",
"""
autocolorscale
Determines whether the colorscale is a default
palette (`autocolorscale: true`) or the palette
determined by `marker.line.colorscale`. Has an
effect only if in `marker.line.color` is set to
a numerical array. In case `colorscale` is
unspecified or `autocolorscale` is true, the
default palette will be chosen according to
whether numbers in the `color` array are all
positive, all negative or mixed.
cauto
Determines whether or not the color domain is
computed with respect to the input data (here
in `marker.line.color`) or the bounds set in
`marker.line.cmin` and `marker.line.cmax` Has
an effect only if in `marker.line.color` is set
to a numerical array. Defaults to `false` when
`marker.line.cmin` and `marker.line.cmax` are
set by the user.
cmax
Sets the upper bound of the color domain. Has
an effect only if in `marker.line.color` is set
to a numerical array. Value should have the
same units as in `marker.line.color` and if
set, `marker.line.cmin` must be set as well.
cmid
Sets the mid-point of the color domain by
scaling `marker.line.cmin` and/or
`marker.line.cmax` to be equidistant to this
point. Has an effect only if in
`marker.line.color` is set to a numerical
array. Value should have the same units as in
`marker.line.color`. Has no effect when
`marker.line.cauto` is `false`.
cmin
Sets the lower bound of the color domain. Has
an effect only if in `marker.line.color` is set
to a numerical array. Value should have the
same units as in `marker.line.color` and if
set, `marker.line.cmax` must be set as well.
color
Sets the marker.line color. It accepts either a
specific color or an array of numbers that are
mapped to the colorscale relative to the max
and min values of the array or relative to
`marker.line.cmin` and `marker.line.cmax` if
set.
coloraxis
Sets a reference to a shared color axis.
References to these shared color axes are
"coloraxis", "coloraxis2", "coloraxis3", etc.
Settings for these shared color axes are set in
the layout, under `layout.coloraxis`,
`layout.coloraxis2`, etc. Note that multiple
color scales can be linked to the same color
axis.
colorscale
Sets the colorscale. Has an effect only if in
`marker.line.color` is set to a numerical
array. The colorscale must be an array
containing arrays mapping a normalized value to
an rgb, rgba, hex, hsl, hsv, or named color
string. At minimum, a mapping for the lowest
(0) and highest (1) values are required. For
example, `[[0, 'rgb(0,0,255)'], [1,
'rgb(255,0,0)']]`. To control the bounds of the
colorscale in color space, use
`marker.line.cmin` and `marker.line.cmax`.
Alternatively, `colorscale` may be a palette
name string of the following list: Blackbody,Bl
uered,Blues,Cividis,Earth,Electric,Greens,Greys
,Hot,Jet,Picnic,Portland,Rainbow,RdBu,Reds,Viri
dis,YlGnBu,YlOrRd.
colorsrc
Sets the source reference on Chart Studio Cloud
for `color`.
reversescale
Reverses the color mapping if true. Has an
effect only if in `marker.line.color` is set to
a numerical array. If true, `marker.line.cmin`
will correspond to the last color in the array
and `marker.line.cmax` will correspond to the
first color.
width
Sets the width (in px) of the lines bounding
the marker points.
widthsrc
Sets the source reference on Chart Studio Cloud
for `width`.
""",
),
**kwargs,
)

View File

@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class MaxdisplayedValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="maxdisplayed", parent_name="scatterternary.marker", **kwargs
):
super(MaxdisplayedValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="opacity", parent_name="scatterternary.marker", **kwargs
):
super(OpacityValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", True),
edit_type=kwargs.pop("edit_type", "style"),
max=kwargs.pop("max", 1),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="opacitysrc", parent_name="scatterternary.marker", **kwargs
):
super(OpacitysrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="reversescale", parent_name="scatterternary.marker", **kwargs
):
super(ReversescaleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

View File

@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="showscale", parent_name="scatterternary.marker", **kwargs
):
super(ShowscaleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

View File

@ -0,0 +1,15 @@
import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="size", parent_name="scatterternary.marker", **kwargs
):
super(SizeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", True),
edit_type=kwargs.pop("edit_type", "calc"),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class SizeminValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="sizemin", parent_name="scatterternary.marker", **kwargs
):
super(SizeminValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
min=kwargs.pop("min", 0),
**kwargs,
)

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