Add iptable-parser as submodule

This commit is contained in:
infidel
2023-10-30 14:40:43 +07:00
parent 64c9e9c11b
commit be27c0882e
35887 changed files with 2661509 additions and 69 deletions

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import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._yaxis import YaxisValidator
from ._xaxis import XaxisValidator
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 ._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 ._legendwidth import LegendwidthValidator
from ._legendrank import LegendrankValidator
from ._legendgrouptitle import LegendgrouptitleValidator
from ._legendgroup import LegendgroupValidator
from ._legend import LegendValidator
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 ._connectgaps import ConnectgapsValidator
from ._carpet import CarpetValidator
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__,
[],
[
"._yaxis.YaxisValidator",
"._xaxis.XaxisValidator",
"._visible.VisibleValidator",
"._unselected.UnselectedValidator",
"._uirevision.UirevisionValidator",
"._uid.UidValidator",
"._texttemplatesrc.TexttemplatesrcValidator",
"._texttemplate.TexttemplateValidator",
"._textsrc.TextsrcValidator",
"._textpositionsrc.TextpositionsrcValidator",
"._textposition.TextpositionValidator",
"._textfont.TextfontValidator",
"._text.TextValidator",
"._stream.StreamValidator",
"._showlegend.ShowlegendValidator",
"._selectedpoints.SelectedpointsValidator",
"._selected.SelectedValidator",
"._opacity.OpacityValidator",
"._name.NameValidator",
"._mode.ModeValidator",
"._metasrc.MetasrcValidator",
"._meta.MetaValidator",
"._marker.MarkerValidator",
"._line.LineValidator",
"._legendwidth.LegendwidthValidator",
"._legendrank.LegendrankValidator",
"._legendgrouptitle.LegendgrouptitleValidator",
"._legendgroup.LegendgroupValidator",
"._legend.LegendValidator",
"._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",
"._connectgaps.ConnectgapsValidator",
"._carpet.CarpetValidator",
"._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="scattercarpet", **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="scattercarpet", **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="scattercarpet", **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="scattercarpet", **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 CarpetValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="carpet", parent_name="scattercarpet", **kwargs):
super(CarpetValidator, 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 ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="connectgaps", parent_name="scattercarpet", **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 CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="customdata", parent_name="scattercarpet", **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="scattercarpet", **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="scattercarpet", **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="scattercarpet", **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="scattercarpet", **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", "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="scattercarpet", **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="scattercarpet", **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="scattercarpet", **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="scattercarpet", **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="scattercarpet", **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="scattercarpet", **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="scattercarpet", **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="scattercarpet", **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="scattercarpet", **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 LegendValidator(_plotly_utils.basevalidators.SubplotidValidator):
def __init__(self, plotly_name="legend", parent_name="scattercarpet", **kwargs):
super(LegendValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
dflt=kwargs.pop("dflt", "legend"),
edit_type=kwargs.pop("edit_type", "style"),
**kwargs,
)

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import _plotly_utils.basevalidators
class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="legendgroup", parent_name="scattercarpet", **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="scattercarpet", **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="scattercarpet", **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 LegendwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="legendwidth", parent_name="scattercarpet", **kwargs
):
super(LegendwidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
min=kwargs.pop("min", 0),
**kwargs,
)

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import _plotly_utils.basevalidators
class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="line", parent_name="scattercarpet", **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",
"""
backoff
Sets the line back off from the end point of
the nth line segment (in px). This option is
useful e.g. to avoid overlap with arrowhead
markers. With "auto" the lines would trim
before markers if `marker.angleref` is set to
"previous".
backoffsrc
Sets the source reference on Chart Studio Cloud
for `backoff`.
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="scattercarpet", **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",
"""
angle
Sets the marker angle in respect to `angleref`.
angleref
Sets the reference for marker angle. With
"previous", angle 0 points along the line from
the previous point to this one. With "up",
angle 0 points toward the top of the screen.
anglesrc
Sets the source reference on Chart Studio Cloud
for `angle`.
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.scattercarpet.mark
er.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.scattercarpet.mark
er.Gradient` instance or dict with compatible
properties
line
:class:`plotly.graph_objects.scattercarpet.mark
er.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`.
standoff
Moves the marker away from the data point in
the direction of `angle` (in px). This can be
useful for example if you have another marker
at this location and you want to point an
arrowhead marker at it.
standoffsrc
Sets the source reference on Chart Studio Cloud
for `standoff`.
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="scattercarpet", **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="scattercarpet", **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="scattercarpet", **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="scattercarpet", **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="scattercarpet", **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="scattercarpet", **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.scattercarpet.sele
cted.Marker` instance or dict with compatible
properties
textfont
:class:`plotly.graph_objects.scattercarpet.sele
cted.Textfont` instance or dict with compatible
properties
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(
self, plotly_name="selectedpoints", parent_name="scattercarpet", **kwargs
):
super(SelectedpointsValidator, 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 ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="showlegend", parent_name="scattercarpet", **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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import _plotly_utils.basevalidators
class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="stream", parent_name="scattercarpet", **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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import _plotly_utils.basevalidators
class TextValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="text", parent_name="scattercarpet", **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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import _plotly_utils.basevalidators
class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="textfont", parent_name="scattercarpet", **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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import _plotly_utils.basevalidators
class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="textposition", parent_name="scattercarpet", **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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import _plotly_utils.basevalidators
class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="textpositionsrc", parent_name="scattercarpet", **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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import _plotly_utils.basevalidators
class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="textsrc", parent_name="scattercarpet", **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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import _plotly_utils.basevalidators
class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="texttemplate", parent_name="scattercarpet", **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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import _plotly_utils.basevalidators
class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="texttemplatesrc", parent_name="scattercarpet", **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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import _plotly_utils.basevalidators
class UidValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="uid", parent_name="scattercarpet", **kwargs):
super(UidValidator, 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 UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="uirevision", parent_name="scattercarpet", **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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import _plotly_utils.basevalidators
class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="unselected", parent_name="scattercarpet", **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.scattercarpet.unse
lected.Marker` instance or dict with compatible
properties
textfont
:class:`plotly.graph_objects.scattercarpet.unse
lected.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="scattercarpet", **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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import _plotly_utils.basevalidators
class XaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
def __init__(self, plotly_name="xaxis", parent_name="scattercarpet", **kwargs):
super(XaxisValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
dflt=kwargs.pop("dflt", "x"),
edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
**kwargs,
)

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import _plotly_utils.basevalidators
class YaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
def __init__(self, plotly_name="yaxis", parent_name="scattercarpet", **kwargs):
super(YaxisValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
dflt=kwargs.pop("dflt", "y"),
edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
**kwargs,
)

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