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_parcats.py
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from plotly.basedatatypes import BaseTraceType
import copy
class Parcats(BaseTraceType):
# arrangement
# -----------
@property
def arrangement(self):
"""
Sets the drag interaction mode for categories and dimensions.
If `perpendicular`, the categories can only move along a line
perpendicular to the paths. If `freeform`, the categories can
freely move on the plane. If `fixed`, the categories and
dimensions are stationary.
The 'arrangement' property is an enumeration that may be specified as:
- One of the following enumeration values:
['perpendicular', 'freeform', 'fixed']
Returns
-------
Any
"""
return self['arrangement']
@arrangement.setter
def arrangement(self, val):
self['arrangement'] = val
# bundlecolors
# ------------
@property
def bundlecolors(self):
"""
Sort paths so that like colors are bundled together within each
category.
The 'bundlecolors' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self['bundlecolors']
@bundlecolors.setter
def bundlecolors(self, val):
self['bundlecolors'] = val
# counts
# ------
@property
def counts(self):
"""
The number of observations represented by each state. Defaults
to 1 so that each state represents one observation
The 'counts' property is a number and may be specified as:
- An int or float in the interval [0, inf]
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
int|float|numpy.ndarray
"""
return self['counts']
@counts.setter
def counts(self, val):
self['counts'] = val
# countssrc
# ---------
@property
def countssrc(self):
"""
Sets the source reference on plot.ly for counts .
The 'countssrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self['countssrc']
@countssrc.setter
def countssrc(self, val):
self['countssrc'] = val
# dimensions
# ----------
@property
def dimensions(self):
"""
The dimensions (variables) of the parallel categories diagram.
The 'dimensions' property is a tuple of instances of
Dimension that may be specified as:
- A list or tuple of instances of plotly.graph_objs.parcats.Dimension
- A list or tuple of dicts of string/value properties that
will be passed to the Dimension constructor
Supported dict properties:
categoryarray
Sets the order in which categories in this
dimension appear. Only has an effect if
`categoryorder` is set to "array". Used with
`categoryorder`.
categoryarraysrc
Sets the source reference on plot.ly for
categoryarray .
categoryorder
Specifies the ordering logic for the categories
in the dimension. By default, plotly uses
"trace", which specifies the order that is
present in the data supplied. Set
`categoryorder` to *category ascending* or
*category descending* if order should be
determined by the alphanumerical order of the
category names. Set `categoryorder` to "array"
to derive the ordering from the attribute
`categoryarray`. If a category is not found in
the `categoryarray` array, the sorting behavior
for that attribute will be identical to the
"trace" mode. The unspecified categories will
follow the categories in `categoryarray`.
displayindex
The display index of dimension, from left to
right, zero indexed, defaults to dimension
index.
label
The shown name of the dimension.
ticktext
Sets alternative tick labels for the categories
in this dimension. Only has an effect if
`categoryorder` is set to "array". Should be an
array the same length as `categoryarray` Used
with `categoryorder`.
ticktextsrc
Sets the source reference on plot.ly for
ticktext .
values
Dimension values. `values[n]` represents the
category value of the `n`th point in the
dataset, therefore the `values` vector for all
dimensions must be the same (longer vectors
will be truncated).
valuessrc
Sets the source reference on plot.ly for
values .
visible
Shows the dimension when set to `true` (the
default). Hides the dimension for `false`.
Returns
-------
tuple[plotly.graph_objs.parcats.Dimension]
"""
return self['dimensions']
@dimensions.setter
def dimensions(self, val):
self['dimensions'] = val
# dimensiondefaults
# -----------------
@property
def dimensiondefaults(self):
"""
When used in a template (as
layout.template.data.parcats.dimensiondefaults), sets the
default property values to use for elements of
parcats.dimensions
The 'dimensiondefaults' property is an instance of Dimension
that may be specified as:
- An instance of plotly.graph_objs.parcats.Dimension
- A dict of string/value properties that will be passed
to the Dimension constructor
Supported dict properties:
Returns
-------
plotly.graph_objs.parcats.Dimension
"""
return self['dimensiondefaults']
@dimensiondefaults.setter
def dimensiondefaults(self, val):
self['dimensiondefaults'] = val
# domain
# ------
@property
def domain(self):
"""
The 'domain' property is an instance of Domain
that may be specified as:
- An instance of plotly.graph_objs.parcats.Domain
- A dict of string/value properties that will be passed
to the Domain constructor
Supported dict properties:
column
If there is a layout grid, use the domain for
this column in the grid for this parcats trace
.
row
If there is a layout grid, use the domain for
this row in the grid for this parcats trace .
x
Sets the horizontal domain of this parcats
trace (in plot fraction).
y
Sets the vertical domain of this parcats trace
(in plot fraction).
Returns
-------
plotly.graph_objs.parcats.Domain
"""
return self['domain']
@domain.setter
def domain(self, val):
self['domain'] = val
# hoverinfo
# ---------
@property
def hoverinfo(self):
"""
Determines which trace information appear on hover. If `none`
or `skip` are set, no information is displayed upon hovering.
But, if `none` is set, click and hover events are still fired.
The 'hoverinfo' property is a flaglist and may be specified
as a string containing:
- Any combination of ['count', 'probability'] joined with '+' characters
(e.g. 'count+probability')
OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
Returns
-------
Any
"""
return self['hoverinfo']
@hoverinfo.setter
def hoverinfo(self, val):
self['hoverinfo'] = val
# hoveron
# -------
@property
def hoveron(self):
"""
Sets the hover interaction mode for the parcats diagram. If
`category`, hover interaction take place per category. If
`color`, hover interactions take place per color per category.
If `dimension`, hover interactions take place across all
categories per dimension.
The 'hoveron' property is an enumeration that may be specified as:
- One of the following enumeration values:
['category', 'color', 'dimension']
Returns
-------
Any
"""
return self['hoveron']
@hoveron.setter
def hoveron(self, val):
self['hoveron'] = val
# hovertemplate
# -------------
@property
def hovertemplate(self):
"""
Template string used for rendering the information that appear
on hover box. Note that this will override `hoverinfo`.
Variables are inserted using %{variable}, for example "y:
%{y}". Numbers are formatted using d3-format's syntax
%{variable:d3-format}, for example "Price: %{y:$.2f}". See http
s://github.com/d3/d3-format/blob/master/README.md#locale_format
for details on the formatting syntax. The variables available
in `hovertemplate` are the ones emitted as event data described
at this link https://plot.ly/javascript/plotlyjs-events/#event-
data. Additionally, every attributes that can be specified per-
point (the ones that are `arrayOk: true`) are available.
variables `count`, `probability`, `category`, `categorycount`,
`colorcount` and `bandcolorcount`. Anything contained in tag
`<extra>` is displayed in the secondary box, for example
"<extra>{fullData.name}</extra>".
The 'hovertemplate' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self['hovertemplate']
@hovertemplate.setter
def hovertemplate(self, val):
self['hovertemplate'] = val
# labelfont
# ---------
@property
def labelfont(self):
"""
Sets the font for the `dimension` labels.
The 'labelfont' property is an instance of Labelfont
that may be specified as:
- An instance of plotly.graph_objs.parcats.Labelfont
- A dict of string/value properties that will be passed
to the Labelfont constructor
Supported dict properties:
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 plotly service (at https://plot.ly
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
Returns
-------
plotly.graph_objs.parcats.Labelfont
"""
return self['labelfont']
@labelfont.setter
def labelfont(self, val):
self['labelfont'] = val
# line
# ----
@property
def line(self):
"""
The 'line' property is an instance of Line
that may be specified as:
- An instance of plotly.graph_objs.parcats.Line
- A dict of string/value properties that will be passed
to the Line constructor
Supported dict properties:
autocolorscale
Determines whether the colorscale is a default
palette (`autocolorscale: true`) or the palette
determined by `line.colorscale`. Has an effect
only if in `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 `line.color`) or the bounds set in
`line.cmin` and `line.cmax` Has an effect only
if in `line.color`is set to a numerical array.
Defaults to `false` when `line.cmin` and
`line.cmax` are set by the user.
cmax
Sets the upper bound of the color domain. Has
an effect only if in `line.color`is set to a
numerical array. Value should have the same
units as in `line.color` and if set,
`line.cmin` must be set as well.
cmid
Sets the mid-point of the color domain by
scaling `line.cmin` and/or `line.cmax` to be
equidistant to this point. Has an effect only
if in `line.color`is set to a numerical array.
Value should have the same units as in
`line.color`. Has no effect when `line.cauto`
is `false`.
cmin
Sets the lower bound of the color domain. Has
an effect only if in `line.color`is set to a
numerical array. Value should have the same
units as in `line.color` and if set,
`line.cmax` must be set as well.
color
Sets thelinecolor. 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 `line.cmin`
and `line.cmax` if set.
colorbar
plotly.graph_objs.parcats.line.ColorBar
instance or dict with compatible properties
colorscale
Sets the colorscale. Has an effect only if in
`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`line.cmin` and `line.cmax`.
Alternatively, `colorscale` may be a palette
name string of the following list: Greys,YlGnBu
,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,R
ainbow,Portland,Jet,Hot,Blackbody,Earth,Electri
c,Viridis,Cividis.
colorsrc
Sets the source reference on plot.ly for color
.
hovertemplate
Template string used for rendering the
information that appear on hover box. Note that
this will override `hoverinfo`. Variables are
inserted using %{variable}, for example "y:
%{y}". Numbers are formatted using d3-format's
syntax %{variable:d3-format}, for example
"Price: %{y:$.2f}". See https://github.com/d3/d
3-format/blob/master/README.md#locale_format
for details on the formatting syntax. The
variables available in `hovertemplate` are the
ones emitted as event data described at this
link https://plot.ly/javascript/plotlyjs-
events/#event-data. Additionally, every
attributes that can be specified per-point (the
ones that are `arrayOk: true`) are available.
variables `count` and `probability`. Anything
contained in tag `<extra>` is displayed in the
secondary box, for example
"<extra>{fullData.name}</extra>".
reversescale
Reverses the color mapping if true. Has an
effect only if in `line.color`is set to a
numerical array. If true, `line.cmin` will
correspond to the last color in the array and
`line.cmax` will correspond to the first color.
shape
Sets the shape of the paths. If `linear`, paths
are composed of straight lines. If `hspline`,
paths are composed of horizontal curved splines
showscale
Determines whether or not a colorbar is
displayed for this trace. Has an effect only if
in `line.color`is set to a numerical array.
Returns
-------
plotly.graph_objs.parcats.Line
"""
return self['line']
@line.setter
def line(self, val):
self['line'] = val
# name
# ----
@property
def name(self):
"""
Sets the trace name. The trace name appear as the legend item
and on hover.
The 'name' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self['name']
@name.setter
def name(self, val):
self['name'] = val
# sortpaths
# ---------
@property
def sortpaths(self):
"""
Sets the path sorting algorithm. If `forward`, sort paths based
on dimension categories from left to right. If `backward`, sort
paths based on dimensions categories from right to left.
The 'sortpaths' property is an enumeration that may be specified as:
- One of the following enumeration values:
['forward', 'backward']
Returns
-------
Any
"""
return self['sortpaths']
@sortpaths.setter
def sortpaths(self, val):
self['sortpaths'] = val
# stream
# ------
@property
def stream(self):
"""
The 'stream' property is an instance of Stream
that may be specified as:
- An instance of plotly.graph_objs.parcats.Stream
- A dict of string/value properties that will be passed
to the Stream constructor
Supported dict properties:
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://plot.ly/settings for more details.
Returns
-------
plotly.graph_objs.parcats.Stream
"""
return self['stream']
@stream.setter
def stream(self, val):
self['stream'] = val
# tickfont
# --------
@property
def tickfont(self):
"""
Sets the font for the `category` labels.
The 'tickfont' property is an instance of Tickfont
that may be specified as:
- An instance of plotly.graph_objs.parcats.Tickfont
- A dict of string/value properties that will be passed
to the Tickfont constructor
Supported dict properties:
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 plotly service (at https://plot.ly
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
Returns
-------
plotly.graph_objs.parcats.Tickfont
"""
return self['tickfont']
@tickfont.setter
def tickfont(self, val):
self['tickfont'] = val
# uid
# ---
@property
def uid(self):
"""
Assign an id to this trace, Use this to provide object
constancy between traces during animations and transitions.
The 'uid' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self['uid']
@uid.setter
def uid(self, val):
self['uid'] = val
# uirevision
# ----------
@property
def uirevision(self):
"""
Controls persistence of some user-driven changes to the trace:
`constraintrange` in `parcoords` traces, as well as some
`editable: true` modifications such as `name` and
`colorbar.title`. Defaults to `layout.uirevision`. Note that
other user-driven trace attribute changes are controlled by
`layout` attributes: `trace.visible` is controlled by
`layout.legend.uirevision`, `selectedpoints` is controlled by
`layout.selectionrevision`, and `colorbar.(x|y)` (accessible
with `config: {editable: true}`) is controlled by
`layout.editrevision`. Trace changes are tracked by `uid`,
which only falls back on trace index if no `uid` is provided.
So if your app can add/remove traces before the end of the
`data` array, such that the same trace has a different index,
you can still preserve user-driven changes if you give each
trace a `uid` that stays with it as it moves.
The 'uirevision' property accepts values of any type
Returns
-------
Any
"""
return self['uirevision']
@uirevision.setter
def uirevision(self, val):
self['uirevision'] = val
# visible
# -------
@property
def visible(self):
"""
Determines whether or not this trace is visible. If
"legendonly", the trace is not drawn, but can appear as a
legend item (provided that the legend itself is visible).
The 'visible' property is an enumeration that may be specified as:
- One of the following enumeration values:
[True, False, 'legendonly']
Returns
-------
Any
"""
return self['visible']
@visible.setter
def visible(self, val):
self['visible'] = val
# type
# ----
@property
def type(self):
return self._props['type']
# property parent name
# --------------------
@property
def _parent_path_str(self):
return ''
# Self properties description
# ---------------------------
@property
def _prop_descriptions(self):
return """\
arrangement
Sets the drag interaction mode for categories and
dimensions. If `perpendicular`, the categories can only
move along a line perpendicular to the paths. If
`freeform`, the categories can freely move on the
plane. If `fixed`, the categories and dimensions are
stationary.
bundlecolors
Sort paths so that like colors are bundled together
within each category.
counts
The number of observations represented by each state.
Defaults to 1 so that each state represents one
observation
countssrc
Sets the source reference on plot.ly for counts .
dimensions
The dimensions (variables) of the parallel categories
diagram.
dimensiondefaults
When used in a template (as
layout.template.data.parcats.dimensiondefaults), sets
the default property values to use for elements of
parcats.dimensions
domain
plotly.graph_objs.parcats.Domain instance or dict with
compatible properties
hoverinfo
Determines which trace information appear on hover. If
`none` or `skip` are set, no information is displayed
upon hovering. But, if `none` is set, click and hover
events are still fired.
hoveron
Sets the hover interaction mode for the parcats
diagram. If `category`, hover interaction take place
per category. If `color`, hover interactions take place
per color per category. If `dimension`, hover
interactions take place across all categories per
dimension.
hovertemplate
Template string used for rendering the information that
appear on hover box. Note that this will override
`hoverinfo`. Variables are inserted using %{variable},
for example "y: %{y}". Numbers are formatted using
d3-format's syntax %{variable:d3-format}, for example
"Price: %{y:$.2f}". See https://github.com/d3/d3-format
/blob/master/README.md#locale_format for details on the
formatting syntax. The variables available in
`hovertemplate` are the ones emitted as event data
described at this link
https://plot.ly/javascript/plotlyjs-events/#event-data.
Additionally, every attributes that can be specified
per-point (the ones that are `arrayOk: true`) are
available. variables `count`, `probability`,
`category`, `categorycount`, `colorcount` and
`bandcolorcount`. Anything contained in tag `<extra>`
is displayed in the secondary box, for example
"<extra>{fullData.name}</extra>".
labelfont
Sets the font for the `dimension` labels.
line
plotly.graph_objs.parcats.Line instance or dict with
compatible properties
name
Sets the trace name. The trace name appear as the
legend item and on hover.
sortpaths
Sets the path sorting algorithm. If `forward`, sort
paths based on dimension categories from left to right.
If `backward`, sort paths based on dimensions
categories from right to left.
stream
plotly.graph_objs.parcats.Stream instance or dict with
compatible properties
tickfont
Sets the font for the `category` labels.
uid
Assign an id to this trace, Use this to provide object
constancy between traces during animations and
transitions.
uirevision
Controls persistence of some user-driven changes to the
trace: `constraintrange` in `parcoords` traces, as well
as some `editable: true` modifications such as `name`
and `colorbar.title`. Defaults to `layout.uirevision`.
Note that other user-driven trace attribute changes are
controlled by `layout` attributes: `trace.visible` is
controlled by `layout.legend.uirevision`,
`selectedpoints` is controlled by
`layout.selectionrevision`, and `colorbar.(x|y)`
(accessible with `config: {editable: true}`) is
controlled by `layout.editrevision`. Trace changes are
tracked by `uid`, which only falls back on trace index
if no `uid` is provided. So if your app can add/remove
traces before the end of the `data` array, such that
the same trace has a different index, you can still
preserve user-driven changes if you give each trace a
`uid` that stays with it as it moves.
visible
Determines whether or not this trace is visible. If
"legendonly", the trace is not drawn, but can appear as
a legend item (provided that the legend itself is
visible).
"""
def __init__(
self,
arg=None,
arrangement=None,
bundlecolors=None,
counts=None,
countssrc=None,
dimensions=None,
dimensiondefaults=None,
domain=None,
hoverinfo=None,
hoveron=None,
hovertemplate=None,
labelfont=None,
line=None,
name=None,
sortpaths=None,
stream=None,
tickfont=None,
uid=None,
uirevision=None,
visible=None,
**kwargs
):
"""
Construct a new Parcats object
Parallel categories diagram for multidimensional categorical
data.
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of plotly.graph_objs.Parcats
arrangement
Sets the drag interaction mode for categories and
dimensions. If `perpendicular`, the categories can only
move along a line perpendicular to the paths. If
`freeform`, the categories can freely move on the
plane. If `fixed`, the categories and dimensions are
stationary.
bundlecolors
Sort paths so that like colors are bundled together
within each category.
counts
The number of observations represented by each state.
Defaults to 1 so that each state represents one
observation
countssrc
Sets the source reference on plot.ly for counts .
dimensions
The dimensions (variables) of the parallel categories
diagram.
dimensiondefaults
When used in a template (as
layout.template.data.parcats.dimensiondefaults), sets
the default property values to use for elements of
parcats.dimensions
domain
plotly.graph_objs.parcats.Domain instance or dict with
compatible properties
hoverinfo
Determines which trace information appear on hover. If
`none` or `skip` are set, no information is displayed
upon hovering. But, if `none` is set, click and hover
events are still fired.
hoveron
Sets the hover interaction mode for the parcats
diagram. If `category`, hover interaction take place
per category. If `color`, hover interactions take place
per color per category. If `dimension`, hover
interactions take place across all categories per
dimension.
hovertemplate
Template string used for rendering the information that
appear on hover box. Note that this will override
`hoverinfo`. Variables are inserted using %{variable},
for example "y: %{y}". Numbers are formatted using
d3-format's syntax %{variable:d3-format}, for example
"Price: %{y:$.2f}". See https://github.com/d3/d3-format
/blob/master/README.md#locale_format for details on the
formatting syntax. The variables available in
`hovertemplate` are the ones emitted as event data
described at this link
https://plot.ly/javascript/plotlyjs-events/#event-data.
Additionally, every attributes that can be specified
per-point (the ones that are `arrayOk: true`) are
available. variables `count`, `probability`,
`category`, `categorycount`, `colorcount` and
`bandcolorcount`. Anything contained in tag `<extra>`
is displayed in the secondary box, for example
"<extra>{fullData.name}</extra>".
labelfont
Sets the font for the `dimension` labels.
line
plotly.graph_objs.parcats.Line instance or dict with
compatible properties
name
Sets the trace name. The trace name appear as the
legend item and on hover.
sortpaths
Sets the path sorting algorithm. If `forward`, sort
paths based on dimension categories from left to right.
If `backward`, sort paths based on dimensions
categories from right to left.
stream
plotly.graph_objs.parcats.Stream instance or dict with
compatible properties
tickfont
Sets the font for the `category` labels.
uid
Assign an id to this trace, Use this to provide object
constancy between traces during animations and
transitions.
uirevision
Controls persistence of some user-driven changes to the
trace: `constraintrange` in `parcoords` traces, as well
as some `editable: true` modifications such as `name`
and `colorbar.title`. Defaults to `layout.uirevision`.
Note that other user-driven trace attribute changes are
controlled by `layout` attributes: `trace.visible` is
controlled by `layout.legend.uirevision`,
`selectedpoints` is controlled by
`layout.selectionrevision`, and `colorbar.(x|y)`
(accessible with `config: {editable: true}`) is
controlled by `layout.editrevision`. Trace changes are
tracked by `uid`, which only falls back on trace index
if no `uid` is provided. So if your app can add/remove
traces before the end of the `data` array, such that
the same trace has a different index, you can still
preserve user-driven changes if you give each trace a
`uid` that stays with it as it moves.
visible
Determines whether or not this trace is visible. If
"legendonly", the trace is not drawn, but can appear as
a legend item (provided that the legend itself is
visible).
Returns
-------
Parcats
"""
super(Parcats, self).__init__('parcats')
# Validate arg
# ------------
if arg is None:
arg = {}
elif isinstance(arg, self.__class__):
arg = arg.to_plotly_json()
elif isinstance(arg, dict):
arg = copy.copy(arg)
else:
raise ValueError(
"""\
The first argument to the plotly.graph_objs.Parcats
constructor must be a dict or
an instance of plotly.graph_objs.Parcats"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop('skip_invalid', False)
# Import validators
# -----------------
from plotly.validators import (parcats as v_parcats)
# Initialize validators
# ---------------------
self._validators['arrangement'] = v_parcats.ArrangementValidator()
self._validators['bundlecolors'] = v_parcats.BundlecolorsValidator()
self._validators['counts'] = v_parcats.CountsValidator()
self._validators['countssrc'] = v_parcats.CountssrcValidator()
self._validators['dimensions'] = v_parcats.DimensionsValidator()
self._validators['dimensiondefaults'] = v_parcats.DimensionValidator()
self._validators['domain'] = v_parcats.DomainValidator()
self._validators['hoverinfo'] = v_parcats.HoverinfoValidator()
self._validators['hoveron'] = v_parcats.HoveronValidator()
self._validators['hovertemplate'] = v_parcats.HovertemplateValidator()
self._validators['labelfont'] = v_parcats.LabelfontValidator()
self._validators['line'] = v_parcats.LineValidator()
self._validators['name'] = v_parcats.NameValidator()
self._validators['sortpaths'] = v_parcats.SortpathsValidator()
self._validators['stream'] = v_parcats.StreamValidator()
self._validators['tickfont'] = v_parcats.TickfontValidator()
self._validators['uid'] = v_parcats.UidValidator()