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import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._dimension import Dimension
from ._domain import Domain
from ._labelfont import Labelfont
from ._legendgrouptitle import Legendgrouptitle
from ._line import Line
from ._stream import Stream
from ._tickfont import Tickfont
from . import legendgrouptitle
from . import line
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[".legendgrouptitle", ".line"],
[
"._dimension.Dimension",
"._domain.Domain",
"._labelfont.Labelfont",
"._legendgrouptitle.Legendgrouptitle",
"._line.Line",
"._stream.Stream",
"._tickfont.Tickfont",
],
)

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from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Dimension(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "parcats"
_path_str = "parcats.dimension"
_valid_props = {
"categoryarray",
"categoryarraysrc",
"categoryorder",
"displayindex",
"label",
"ticktext",
"ticktextsrc",
"values",
"valuessrc",
"visible",
}
# categoryarray
# -------------
@property
def categoryarray(self):
"""
Sets the order in which categories in this dimension appear.
Only has an effect if `categoryorder` is set to "array". Used
with `categoryorder`.
The 'categoryarray' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------
numpy.ndarray
"""
return self["categoryarray"]
@categoryarray.setter
def categoryarray(self, val):
self["categoryarray"] = val
# categoryarraysrc
# ----------------
@property
def categoryarraysrc(self):
"""
Sets the source reference on Chart Studio Cloud for
`categoryarray`.
The 'categoryarraysrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["categoryarraysrc"]
@categoryarraysrc.setter
def categoryarraysrc(self, val):
self["categoryarraysrc"] = val
# categoryorder
# -------------
@property
def categoryorder(self):
"""
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`.
The 'categoryorder' property is an enumeration that may be specified as:
- One of the following enumeration values:
['trace', 'category ascending', 'category descending',
'array']
Returns
-------
Any
"""
return self["categoryorder"]
@categoryorder.setter
def categoryorder(self, val):
self["categoryorder"] = val
# displayindex
# ------------
@property
def displayindex(self):
"""
The display index of dimension, from left to right, zero
indexed, defaults to dimension index.
The 'displayindex' property is a integer and may be specified as:
- An int (or float that will be cast to an int)
Returns
-------
int
"""
return self["displayindex"]
@displayindex.setter
def displayindex(self, val):
self["displayindex"] = val
# label
# -----
@property
def label(self):
"""
The shown name of the dimension.
The 'label' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["label"]
@label.setter
def label(self, val):
self["label"] = val
# ticktext
# --------
@property
def ticktext(self):
"""
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`.
The 'ticktext' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------
numpy.ndarray
"""
return self["ticktext"]
@ticktext.setter
def ticktext(self, val):
self["ticktext"] = val
# ticktextsrc
# -----------
@property
def ticktextsrc(self):
"""
Sets the source reference on Chart Studio Cloud for `ticktext`.
The 'ticktextsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["ticktextsrc"]
@ticktextsrc.setter
def ticktextsrc(self, val):
self["ticktextsrc"] = val
# values
# ------
@property
def values(self):
"""
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).
The 'values' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------
numpy.ndarray
"""
return self["values"]
@values.setter
def values(self, val):
self["values"] = val
# valuessrc
# ---------
@property
def valuessrc(self):
"""
Sets the source reference on Chart Studio Cloud for `values`.
The 'valuessrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["valuessrc"]
@valuessrc.setter
def valuessrc(self, val):
self["valuessrc"] = val
# visible
# -------
@property
def visible(self):
"""
Shows the dimension when set to `true` (the default). Hides the
dimension for `false`.
The 'visible' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["visible"]
@visible.setter
def visible(self, val):
self["visible"] = val
# Self properties description
# ---------------------------
@property
def _prop_descriptions(self):
return """\
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 Chart Studio Cloud 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 Chart Studio Cloud 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 Chart Studio Cloud for
`values`.
visible
Shows the dimension when set to `true` (the default).
Hides the dimension for `false`.
"""
def __init__(
self,
arg=None,
categoryarray=None,
categoryarraysrc=None,
categoryorder=None,
displayindex=None,
label=None,
ticktext=None,
ticktextsrc=None,
values=None,
valuessrc=None,
visible=None,
**kwargs,
):
"""
Construct a new Dimension object
The dimensions (variables) of the parallel categories diagram.
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.parcats.Dimension`
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 Chart Studio Cloud 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 Chart Studio Cloud 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 Chart Studio Cloud for
`values`.
visible
Shows the dimension when set to `true` (the default).
Hides the dimension for `false`.
Returns
-------
Dimension
"""
super(Dimension, self).__init__("dimensions")
if "_parent" in kwargs:
self._parent = kwargs["_parent"]
return
# 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.Dimension
constructor must be a dict or
an instance of :class:`plotly.graph_objs.parcats.Dimension`"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
self._validate = kwargs.pop("_validate", True)
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("categoryarray", None)
_v = categoryarray if categoryarray is not None else _v
if _v is not None:
self["categoryarray"] = _v
_v = arg.pop("categoryarraysrc", None)
_v = categoryarraysrc if categoryarraysrc is not None else _v
if _v is not None:
self["categoryarraysrc"] = _v
_v = arg.pop("categoryorder", None)
_v = categoryorder if categoryorder is not None else _v
if _v is not None:
self["categoryorder"] = _v
_v = arg.pop("displayindex", None)
_v = displayindex if displayindex is not None else _v
if _v is not None:
self["displayindex"] = _v
_v = arg.pop("label", None)
_v = label if label is not None else _v
if _v is not None:
self["label"] = _v
_v = arg.pop("ticktext", None)
_v = ticktext if ticktext is not None else _v
if _v is not None:
self["ticktext"] = _v
_v = arg.pop("ticktextsrc", None)
_v = ticktextsrc if ticktextsrc is not None else _v
if _v is not None:
self["ticktextsrc"] = _v
_v = arg.pop("values", None)
_v = values if values is not None else _v
if _v is not None:
self["values"] = _v
_v = arg.pop("valuessrc", None)
_v = valuessrc if valuessrc is not None else _v
if _v is not None:
self["valuessrc"] = _v
_v = arg.pop("visible", None)
_v = visible if visible is not None else _v
if _v is not None:
self["visible"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False

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from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Domain(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "parcats"
_path_str = "parcats.domain"
_valid_props = {"column", "row", "x", "y"}
# column
# ------
@property
def column(self):
"""
If there is a layout grid, use the domain for this column in
the grid for this parcats trace .
The 'column' property is a integer and may be specified as:
- An int (or float that will be cast to an int)
in the interval [0, 9223372036854775807]
Returns
-------
int
"""
return self["column"]
@column.setter
def column(self, val):
self["column"] = val
# row
# ---
@property
def row(self):
"""
If there is a layout grid, use the domain for this row in the
grid for this parcats trace .
The 'row' property is a integer and may be specified as:
- An int (or float that will be cast to an int)
in the interval [0, 9223372036854775807]
Returns
-------
int
"""
return self["row"]
@row.setter
def row(self, val):
self["row"] = val
# x
# -
@property
def x(self):
"""
Sets the horizontal domain of this parcats trace (in plot
fraction).
The 'x' property is an info array that may be specified as:
* a list or tuple of 2 elements where:
(0) The 'x[0]' property is a number and may be specified as:
- An int or float in the interval [0, 1]
(1) The 'x[1]' property is a number and may be specified as:
- An int or float in the interval [0, 1]
Returns
-------
list
"""
return self["x"]
@x.setter
def x(self, val):
self["x"] = val
# y
# -
@property
def y(self):
"""
Sets the vertical domain of this parcats trace (in plot
fraction).
The 'y' property is an info array that may be specified as:
* a list or tuple of 2 elements where:
(0) The 'y[0]' property is a number and may be specified as:
- An int or float in the interval [0, 1]
(1) The 'y[1]' property is a number and may be specified as:
- An int or float in the interval [0, 1]
Returns
-------
list
"""
return self["y"]
@y.setter
def y(self, val):
self["y"] = val
# Self properties description
# ---------------------------
@property
def _prop_descriptions(self):
return """\
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).
"""
def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
"""
Construct a new Domain object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.parcats.Domain`
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
-------
Domain
"""
super(Domain, self).__init__("domain")
if "_parent" in kwargs:
self._parent = kwargs["_parent"]
return
# 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.Domain
constructor must be a dict or
an instance of :class:`plotly.graph_objs.parcats.Domain`"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
self._validate = kwargs.pop("_validate", True)
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("column", None)
_v = column if column is not None else _v
if _v is not None:
self["column"] = _v
_v = arg.pop("row", None)
_v = row if row is not None else _v
if _v is not None:
self["row"] = _v
_v = arg.pop("x", None)
_v = x if x is not None else _v
if _v is not None:
self["x"] = _v
_v = arg.pop("y", None)
_v = y if y is not None else _v
if _v is not None:
self["y"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False

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from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Labelfont(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "parcats"
_path_str = "parcats.labelfont"
_valid_props = {"color", "family", "size"}
# color
# -----
@property
def color(self):
"""
The 'color' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
Returns
-------
str
"""
return self["color"]
@color.setter
def color(self, val):
self["color"] = val
# family
# ------
@property
def family(self):
"""
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".
The 'family' property is a string and must be specified as:
- A non-empty string
Returns
-------
str
"""
return self["family"]
@family.setter
def family(self, val):
self["family"] = val
# size
# ----
@property
def size(self):
"""
The 'size' property is a number and may be specified as:
- An int or float in the interval [1, inf]
Returns
-------
int|float
"""
return self["size"]
@size.setter
def size(self, val):
self["size"] = val
# Self properties description
# ---------------------------
@property
def _prop_descriptions(self):
return """\
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
"""
def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
"""
Construct a new Labelfont object
Sets the font for the `dimension` labels.
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.parcats.Labelfont`
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
Returns
-------
Labelfont
"""
super(Labelfont, self).__init__("labelfont")
if "_parent" in kwargs:
self._parent = kwargs["_parent"]
return
# 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.Labelfont
constructor must be a dict or
an instance of :class:`plotly.graph_objs.parcats.Labelfont`"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
self._validate = kwargs.pop("_validate", True)
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("color", None)
_v = color if color is not None else _v
if _v is not None:
self["color"] = _v
_v = arg.pop("family", None)
_v = family if family is not None else _v
if _v is not None:
self["family"] = _v
_v = arg.pop("size", None)
_v = size if size is not None else _v
if _v is not None:
self["size"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False

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from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Legendgrouptitle(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "parcats"
_path_str = "parcats.legendgrouptitle"
_valid_props = {"font", "text"}
# font
# ----
@property
def font(self):
"""
Sets this legend group's title font.
The 'font' property is an instance of Font
that may be specified as:
- An instance of :class:`plotly.graph_objs.parcats.legendgrouptitle.Font`
- A dict of string/value properties that will be passed
to the Font 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 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
Returns
-------
plotly.graph_objs.parcats.legendgrouptitle.Font
"""
return self["font"]
@font.setter
def font(self, val):
self["font"] = val
# text
# ----
@property
def text(self):
"""
Sets the title of the legend group.
The 'text' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["text"]
@text.setter
def text(self, val):
self["text"] = val
# Self properties description
# ---------------------------
@property
def _prop_descriptions(self):
return """\
font
Sets this legend group's title font.
text
Sets the title of the legend group.
"""
def __init__(self, arg=None, font=None, text=None, **kwargs):
"""
Construct a new Legendgrouptitle object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.parcats.Legendgrouptitle`
font
Sets this legend group's title font.
text
Sets the title of the legend group.
Returns
-------
Legendgrouptitle
"""
super(Legendgrouptitle, self).__init__("legendgrouptitle")
if "_parent" in kwargs:
self._parent = kwargs["_parent"]
return
# 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.Legendgrouptitle
constructor must be a dict or
an instance of :class:`plotly.graph_objs.parcats.Legendgrouptitle`"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
self._validate = kwargs.pop("_validate", True)
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("font", None)
_v = font if font is not None else _v
if _v is not None:
self["font"] = _v
_v = arg.pop("text", None)
_v = text if text is not None else _v
if _v is not None:
self["text"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False

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from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Stream(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "parcats"
_path_str = "parcats.stream"
_valid_props = {"maxpoints", "token"}
# maxpoints
# ---------
@property
def maxpoints(self):
"""
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.
The 'maxpoints' property is a number and may be specified as:
- An int or float in the interval [0, 10000]
Returns
-------
int|float
"""
return self["maxpoints"]
@maxpoints.setter
def maxpoints(self, val):
self["maxpoints"] = val
# token
# -----
@property
def token(self):
"""
The stream id number links a data trace on a plot with a
stream. See https://chart-studio.plotly.com/settings for more
details.
The 'token' property is a string and must be specified as:
- A non-empty string
Returns
-------
str
"""
return self["token"]
@token.setter
def token(self, val):
self["token"] = val
# Self properties description
# ---------------------------
@property
def _prop_descriptions(self):
return """\
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.
"""
def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
"""
Construct a new Stream object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.parcats.Stream`
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.
Returns
-------
Stream
"""
super(Stream, self).__init__("stream")
if "_parent" in kwargs:
self._parent = kwargs["_parent"]
return
# 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.Stream
constructor must be a dict or
an instance of :class:`plotly.graph_objs.parcats.Stream`"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
self._validate = kwargs.pop("_validate", True)
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("maxpoints", None)
_v = maxpoints if maxpoints is not None else _v
if _v is not None:
self["maxpoints"] = _v
_v = arg.pop("token", None)
_v = token if token is not None else _v
if _v is not None:
self["token"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False

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from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Tickfont(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "parcats"
_path_str = "parcats.tickfont"
_valid_props = {"color", "family", "size"}
# color
# -----
@property
def color(self):
"""
The 'color' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
Returns
-------
str
"""
return self["color"]
@color.setter
def color(self, val):
self["color"] = val
# family
# ------
@property
def family(self):
"""
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".
The 'family' property is a string and must be specified as:
- A non-empty string
Returns
-------
str
"""
return self["family"]
@family.setter
def family(self, val):
self["family"] = val
# size
# ----
@property
def size(self):
"""
The 'size' property is a number and may be specified as:
- An int or float in the interval [1, inf]
Returns
-------
int|float
"""
return self["size"]
@size.setter
def size(self, val):
self["size"] = val
# Self properties description
# ---------------------------
@property
def _prop_descriptions(self):
return """\
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
"""
def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
"""
Construct a new Tickfont object
Sets the font for the `category` labels.
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.parcats.Tickfont`
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
Returns
-------
Tickfont
"""
super(Tickfont, self).__init__("tickfont")
if "_parent" in kwargs:
self._parent = kwargs["_parent"]
return
# 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.Tickfont
constructor must be a dict or
an instance of :class:`plotly.graph_objs.parcats.Tickfont`"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
self._validate = kwargs.pop("_validate", True)
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("color", None)
_v = color if color is not None else _v
if _v is not None:
self["color"] = _v
_v = arg.pop("family", None)
_v = family if family is not None else _v
if _v is not None:
self["family"] = _v
_v = arg.pop("size", None)
_v = size if size is not None else _v
if _v is not None:
self["size"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False

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@ -0,0 +1,9 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._font import Font
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])

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from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Font(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "parcats.legendgrouptitle"
_path_str = "parcats.legendgrouptitle.font"
_valid_props = {"color", "family", "size"}
# color
# -----
@property
def color(self):
"""
The 'color' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
Returns
-------
str
"""
return self["color"]
@color.setter
def color(self, val):
self["color"] = val
# family
# ------
@property
def family(self):
"""
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".
The 'family' property is a string and must be specified as:
- A non-empty string
Returns
-------
str
"""
return self["family"]
@family.setter
def family(self, val):
self["family"] = val
# size
# ----
@property
def size(self):
"""
The 'size' property is a number and may be specified as:
- An int or float in the interval [1, inf]
Returns
-------
int|float
"""
return self["size"]
@size.setter
def size(self, val):
self["size"] = val
# Self properties description
# ---------------------------
@property
def _prop_descriptions(self):
return """\
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
"""
def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
"""
Construct a new Font object
Sets this legend group's title font.
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.parcats.legend
grouptitle.Font`
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
Returns
-------
Font
"""
super(Font, self).__init__("font")
if "_parent" in kwargs:
self._parent = kwargs["_parent"]
return
# 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.legendgrouptitle.Font
constructor must be a dict or
an instance of :class:`plotly.graph_objs.parcats.legendgrouptitle.Font`"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
self._validate = kwargs.pop("_validate", True)
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("color", None)
_v = color if color is not None else _v
if _v is not None:
self["color"] = _v
_v = arg.pop("family", None)
_v = family if family is not None else _v
if _v is not None:
self["family"] = _v
_v = arg.pop("size", None)
_v = size if size is not None else _v
if _v is not None:
self["size"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False

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import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._colorbar import ColorBar
from . import colorbar
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [".colorbar"], ["._colorbar.ColorBar"]
)

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@ -0,0 +1,16 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._tickfont import Tickfont
from ._tickformatstop import Tickformatstop
from ._title import Title
from . import title
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[".title"],
["._tickfont.Tickfont", "._tickformatstop.Tickformatstop", "._title.Title"],
)

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@ -0,0 +1,227 @@
from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Tickfont(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "parcats.line.colorbar"
_path_str = "parcats.line.colorbar.tickfont"
_valid_props = {"color", "family", "size"}
# color
# -----
@property
def color(self):
"""
The 'color' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
Returns
-------
str
"""
return self["color"]
@color.setter
def color(self, val):
self["color"] = val
# family
# ------
@property
def family(self):
"""
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".
The 'family' property is a string and must be specified as:
- A non-empty string
Returns
-------
str
"""
return self["family"]
@family.setter
def family(self, val):
self["family"] = val
# size
# ----
@property
def size(self):
"""
The 'size' property is a number and may be specified as:
- An int or float in the interval [1, inf]
Returns
-------
int|float
"""
return self["size"]
@size.setter
def size(self, val):
self["size"] = val
# Self properties description
# ---------------------------
@property
def _prop_descriptions(self):
return """\
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
"""
def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
"""
Construct a new Tickfont object
Sets the color bar's tick label font
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.parcats.line.c
olorbar.Tickfont`
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
Returns
-------
Tickfont
"""
super(Tickfont, self).__init__("tickfont")
if "_parent" in kwargs:
self._parent = kwargs["_parent"]
return
# 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.line.colorbar.Tickfont
constructor must be a dict or
an instance of :class:`plotly.graph_objs.parcats.line.colorbar.Tickfont`"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
self._validate = kwargs.pop("_validate", True)
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("color", None)
_v = color if color is not None else _v
if _v is not None:
self["color"] = _v
_v = arg.pop("family", None)
_v = family if family is not None else _v
if _v is not None:
self["family"] = _v
_v = arg.pop("size", None)
_v = size if size is not None else _v
if _v is not None:
self["size"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False

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@ -0,0 +1,283 @@
from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Tickformatstop(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "parcats.line.colorbar"
_path_str = "parcats.line.colorbar.tickformatstop"
_valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
# dtickrange
# ----------
@property
def dtickrange(self):
"""
range [*min*, *max*], where "min", "max" - dtick values which
describe some zoom level, it is possible to omit "min" or "max"
value by passing "null"
The 'dtickrange' property is an info array that may be specified as:
* a list or tuple of 2 elements where:
(0) The 'dtickrange[0]' property accepts values of any type
(1) The 'dtickrange[1]' property accepts values of any type
Returns
-------
list
"""
return self["dtickrange"]
@dtickrange.setter
def dtickrange(self, val):
self["dtickrange"] = val
# enabled
# -------
@property
def enabled(self):
"""
Determines whether or not this stop is used. If `false`, this
stop is ignored even within its `dtickrange`.
The 'enabled' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["enabled"]
@enabled.setter
def enabled(self, val):
self["enabled"] = val
# name
# ----
@property
def name(self):
"""
When used in a template, named items are created in the output
figure in addition to any items the figure already has in this
array. You can modify these items in the output figure by
making your own item with `templateitemname` matching this
`name` alongside your modifications (including `visible: false`
or `enabled: false` to hide it). Has no effect outside of a
template.
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
# templateitemname
# ----------------
@property
def templateitemname(self):
"""
Used to refer to a named item in this array in the template.
Named items from the template will be created even without a
matching item in the input figure, but you can modify one by
making an item with `templateitemname` matching its `name`,
alongside your modifications (including `visible: false` or
`enabled: false` to hide it). If there is no template or no
matching item, this item will be hidden unless you explicitly
show it with `visible: true`.
The 'templateitemname' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["templateitemname"]
@templateitemname.setter
def templateitemname(self, val):
self["templateitemname"] = val
# value
# -----
@property
def value(self):
"""
string - dtickformat for described zoom level, the same as
"tickformat"
The 'value' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["value"]
@value.setter
def value(self, val):
self["value"] = val
# Self properties description
# ---------------------------
@property
def _prop_descriptions(self):
return """\
dtickrange
range [*min*, *max*], where "min", "max" - dtick values
which describe some zoom level, it is possible to omit
"min" or "max" value by passing "null"
enabled
Determines whether or not this stop is used. If
`false`, this stop is ignored even within its
`dtickrange`.
name
When used in a template, named items are created in the
output figure in addition to any items the figure
already has in this array. You can modify these items
in the output figure by making your own item with
`templateitemname` matching this `name` alongside your
modifications (including `visible: false` or `enabled:
false` to hide it). Has no effect outside of a
template.
templateitemname
Used to refer to a named item in this array in the
template. Named items from the template will be created
even without a matching item in the input figure, but
you can modify one by making an item with
`templateitemname` matching its `name`, alongside your
modifications (including `visible: false` or `enabled:
false` to hide it). If there is no template or no
matching item, this item will be hidden unless you
explicitly show it with `visible: true`.
value
string - dtickformat for described zoom level, the same
as "tickformat"
"""
def __init__(
self,
arg=None,
dtickrange=None,
enabled=None,
name=None,
templateitemname=None,
value=None,
**kwargs,
):
"""
Construct a new Tickformatstop object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.parcats.line.c
olorbar.Tickformatstop`
dtickrange
range [*min*, *max*], where "min", "max" - dtick values
which describe some zoom level, it is possible to omit
"min" or "max" value by passing "null"
enabled
Determines whether or not this stop is used. If
`false`, this stop is ignored even within its
`dtickrange`.
name
When used in a template, named items are created in the
output figure in addition to any items the figure
already has in this array. You can modify these items
in the output figure by making your own item with
`templateitemname` matching this `name` alongside your
modifications (including `visible: false` or `enabled:
false` to hide it). Has no effect outside of a
template.
templateitemname
Used to refer to a named item in this array in the
template. Named items from the template will be created
even without a matching item in the input figure, but
you can modify one by making an item with
`templateitemname` matching its `name`, alongside your
modifications (including `visible: false` or `enabled:
false` to hide it). If there is no template or no
matching item, this item will be hidden unless you
explicitly show it with `visible: true`.
value
string - dtickformat for described zoom level, the same
as "tickformat"
Returns
-------
Tickformatstop
"""
super(Tickformatstop, self).__init__("tickformatstops")
if "_parent" in kwargs:
self._parent = kwargs["_parent"]
return
# 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.line.colorbar.Tickformatstop
constructor must be a dict or
an instance of :class:`plotly.graph_objs.parcats.line.colorbar.Tickformatstop`"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
self._validate = kwargs.pop("_validate", True)
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("dtickrange", None)
_v = dtickrange if dtickrange is not None else _v
if _v is not None:
self["dtickrange"] = _v
_v = arg.pop("enabled", None)
_v = enabled if enabled is not None else _v
if _v is not None:
self["enabled"] = _v
_v = arg.pop("name", None)
_v = name if name is not None else _v
if _v is not None:
self["name"] = _v
_v = arg.pop("templateitemname", None)
_v = templateitemname if templateitemname is not None else _v
if _v is not None:
self["templateitemname"] = _v
_v = arg.pop("value", None)
_v = value if value is not None else _v
if _v is not None:
self["value"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False

View File

@ -0,0 +1,210 @@
from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Title(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "parcats.line.colorbar"
_path_str = "parcats.line.colorbar.title"
_valid_props = {"font", "side", "text"}
# font
# ----
@property
def font(self):
"""
Sets this color bar's title font. Note that the title's font
used to be set by the now deprecated `titlefont` attribute.
The 'font' property is an instance of Font
that may be specified as:
- An instance of :class:`plotly.graph_objs.parcats.line.colorbar.title.Font`
- A dict of string/value properties that will be passed
to the Font 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 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
Returns
-------
plotly.graph_objs.parcats.line.colorbar.title.Font
"""
return self["font"]
@font.setter
def font(self, val):
self["font"] = val
# side
# ----
@property
def side(self):
"""
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.
The 'side' property is an enumeration that may be specified as:
- One of the following enumeration values:
['right', 'top', 'bottom']
Returns
-------
Any
"""
return self["side"]
@side.setter
def side(self, val):
self["side"] = val
# text
# ----
@property
def text(self):
"""
Sets the title of the color bar. Note that before the existence
of `title.text`, the title's contents used to be defined as the
`title` attribute itself. This behavior has been deprecated.
The 'text' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["text"]
@text.setter
def text(self, val):
self["text"] = val
# Self properties description
# ---------------------------
@property
def _prop_descriptions(self):
return """\
font
Sets this color bar's title font. Note that the title's
font used to be set by the now deprecated `titlefont`
attribute.
side
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.
text
Sets the title of the color bar. Note that before the
existence of `title.text`, the title's contents used to
be defined as the `title` attribute itself. This
behavior has been deprecated.
"""
def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
"""
Construct a new Title object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.parcats.line.colorbar.Title`
font
Sets this color bar's title font. Note that the title's
font used to be set by the now deprecated `titlefont`
attribute.
side
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.
text
Sets the title of the color bar. Note that before the
existence of `title.text`, the title's contents used to
be defined as the `title` attribute itself. This
behavior has been deprecated.
Returns
-------
Title
"""
super(Title, self).__init__("title")
if "_parent" in kwargs:
self._parent = kwargs["_parent"]
return
# 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.line.colorbar.Title
constructor must be a dict or
an instance of :class:`plotly.graph_objs.parcats.line.colorbar.Title`"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
self._validate = kwargs.pop("_validate", True)
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("font", None)
_v = font if font is not None else _v
if _v is not None:
self["font"] = _v
_v = arg.pop("side", None)
_v = side if side is not None else _v
if _v is not None:
self["side"] = _v
_v = arg.pop("text", None)
_v = text if text is not None else _v
if _v is not None:
self["text"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False

View File

@ -0,0 +1,9 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._font import Font
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])

View File

@ -0,0 +1,228 @@
from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Font(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "parcats.line.colorbar.title"
_path_str = "parcats.line.colorbar.title.font"
_valid_props = {"color", "family", "size"}
# color
# -----
@property
def color(self):
"""
The 'color' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
Returns
-------
str
"""
return self["color"]
@color.setter
def color(self, val):
self["color"] = val
# family
# ------
@property
def family(self):
"""
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".
The 'family' property is a string and must be specified as:
- A non-empty string
Returns
-------
str
"""
return self["family"]
@family.setter
def family(self, val):
self["family"] = val
# size
# ----
@property
def size(self):
"""
The 'size' property is a number and may be specified as:
- An int or float in the interval [1, inf]
Returns
-------
int|float
"""
return self["size"]
@size.setter
def size(self, val):
self["size"] = val
# Self properties description
# ---------------------------
@property
def _prop_descriptions(self):
return """\
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
"""
def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
"""
Construct a new Font object
Sets this color bar's title font. Note that the title's font
used to be set by the now deprecated `titlefont` attribute.
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.parcats.line.c
olorbar.title.Font`
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
Returns
-------
Font
"""
super(Font, self).__init__("font")
if "_parent" in kwargs:
self._parent = kwargs["_parent"]
return
# 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.line.colorbar.title.Font
constructor must be a dict or
an instance of :class:`plotly.graph_objs.parcats.line.colorbar.title.Font`"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
self._validate = kwargs.pop("_validate", True)
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("color", None)
_v = color if color is not None else _v
if _v is not None:
self["color"] = _v
_v = arg.pop("family", None)
_v = family if family is not None else _v
if _v is not None:
self["family"] = _v
_v = arg.pop("size", None)
_v = size if size is not None else _v
if _v is not None:
self["size"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False