2022-05-23 00:16:32 +04:00

1225 lines
44 KiB
Python

from plotly.basedatatypes import BaseTraceType as _BaseTraceType
import copy as _copy
class Parcoords(_BaseTraceType):
# class properties
# --------------------
_parent_path_str = ""
_path_str = "parcoords"
_valid_props = {
"customdata",
"customdatasrc",
"dimensiondefaults",
"dimensions",
"domain",
"ids",
"idssrc",
"labelangle",
"labelfont",
"labelside",
"legendgrouptitle",
"legendrank",
"line",
"meta",
"metasrc",
"name",
"rangefont",
"stream",
"tickfont",
"type",
"uid",
"uirevision",
"visible",
}
# customdata
# ----------
@property
def customdata(self):
"""
Assigns extra data each datum. This may be useful when
listening to hover, click and selection events. Note that,
"scatter" traces also appends customdata items in the markers
DOM elements
The 'customdata' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------
numpy.ndarray
"""
return self["customdata"]
@customdata.setter
def customdata(self, val):
self["customdata"] = val
# customdatasrc
# -------------
@property
def customdatasrc(self):
"""
Sets the source reference on Chart Studio Cloud for
`customdata`.
The 'customdatasrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["customdatasrc"]
@customdatasrc.setter
def customdatasrc(self, val):
self["customdatasrc"] = val
# dimensions
# ----------
@property
def dimensions(self):
"""
The dimensions (variables) of the parallel coordinates chart.
2..60 dimensions are supported.
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.parcoords.Dimension
- A list or tuple of dicts of string/value properties that
will be passed to the Dimension constructor
Supported dict properties:
constraintrange
The domain range to which the filter on the
dimension is constrained. Must be an array of
`[fromValue, toValue]` with `fromValue <=
toValue`, or if `multiselect` is not disabled,
you may give an array of arrays, where each
inner array is `[fromValue, toValue]`.
label
The shown name of the dimension.
multiselect
Do we allow multiple selection ranges or just a
single range?
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.
range
The domain range that represents the full,
shown axis extent. Defaults to the `values`
extent. Must be an array of `[fromValue,
toValue]` with finite numbers as elements.
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`.
tickformat
Sets the tick label formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/tree/v1.4.5#d3-f
ormat. And for dates see:
https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two
items to d3's date formatter: "%h" for half of
the year as a decimal number as well as "%{n}f"
for fractional seconds with n digits. For
example, *2016-10-13 09:15:23.456* with
tickformat "%H~%M~%S.%2f" would display
"09~15~23.46"
ticktext
Sets the text displayed at the ticks position
via `tickvals`.
ticktextsrc
Sets the source reference on Chart Studio Cloud
for `ticktext`.
tickvals
Sets the values at which ticks on this axis
appear.
tickvalssrc
Sets the source reference on Chart Studio Cloud
for `tickvals`.
values
Dimension values. `values[n]` represents the
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). Each value must be a finite
number.
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
-------
tuple[plotly.graph_objs.parcoords.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.parcoords.dimensiondefaults), sets the
default property values to use for elements of
parcoords.dimensions
The 'dimensiondefaults' property is an instance of Dimension
that may be specified as:
- An instance of :class:`plotly.graph_objs.parcoords.Dimension`
- A dict of string/value properties that will be passed
to the Dimension constructor
Supported dict properties:
Returns
-------
plotly.graph_objs.parcoords.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 :class:`plotly.graph_objs.parcoords.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 parcoords
trace .
row
If there is a layout grid, use the domain for
this row in the grid for this parcoords trace .
x
Sets the horizontal domain of this parcoords
trace (in plot fraction).
y
Sets the vertical domain of this parcoords
trace (in plot fraction).
Returns
-------
plotly.graph_objs.parcoords.Domain
"""
return self["domain"]
@domain.setter
def domain(self, val):
self["domain"] = val
# ids
# ---
@property
def ids(self):
"""
Assigns id labels to each datum. These ids for object constancy
of data points during animation. Should be an array of strings,
not numbers or any other type.
The 'ids' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------
numpy.ndarray
"""
return self["ids"]
@ids.setter
def ids(self, val):
self["ids"] = val
# idssrc
# ------
@property
def idssrc(self):
"""
Sets the source reference on Chart Studio Cloud for `ids`.
The 'idssrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["idssrc"]
@idssrc.setter
def idssrc(self, val):
self["idssrc"] = val
# labelangle
# ----------
@property
def labelangle(self):
"""
Sets the angle of the labels with respect to the horizontal.
For example, a `tickangle` of -90 draws the labels vertically.
Tilted labels with "labelangle" may be positioned better inside
margins when `labelposition` is set to "bottom".
The 'labelangle' property is a angle (in degrees) that may be
specified as a number between -180 and 180. Numeric values outside this
range are converted to the equivalent value
(e.g. 270 is converted to -90).
Returns
-------
int|float
"""
return self["labelangle"]
@labelangle.setter
def labelangle(self, val):
self["labelangle"] = 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 :class:`plotly.graph_objs.parcoords.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 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.parcoords.Labelfont
"""
return self["labelfont"]
@labelfont.setter
def labelfont(self, val):
self["labelfont"] = val
# labelside
# ---------
@property
def labelside(self):
"""
Specifies the location of the `label`. "top" positions labels
above, next to the title "bottom" positions labels below the
graph Tilted labels with "labelangle" may be positioned better
inside margins when `labelposition` is set to "bottom".
The 'labelside' property is an enumeration that may be specified as:
- One of the following enumeration values:
['top', 'bottom']
Returns
-------
Any
"""
return self["labelside"]
@labelside.setter
def labelside(self, val):
self["labelside"] = val
# legendgrouptitle
# ----------------
@property
def legendgrouptitle(self):
"""
The 'legendgrouptitle' property is an instance of Legendgrouptitle
that may be specified as:
- An instance of :class:`plotly.graph_objs.parcoords.Legendgrouptitle`
- A dict of string/value properties that will be passed
to the Legendgrouptitle constructor
Supported dict properties:
font
Sets this legend group's title font.
text
Sets the title of the legend group.
Returns
-------
plotly.graph_objs.parcoords.Legendgrouptitle
"""
return self["legendgrouptitle"]
@legendgrouptitle.setter
def legendgrouptitle(self, val):
self["legendgrouptitle"] = val
# legendrank
# ----------
@property
def legendrank(self):
"""
Sets the legend rank for this trace. Items and groups with
smaller ranks are presented on top/left side while with
`*reversed* `legend.traceorder` they are on bottom/right side.
The default legendrank is 1000, so that you can use ranks less
than 1000 to place certain items before all unranked items, and
ranks greater than 1000 to go after all unranked items.
The 'legendrank' property is a number and may be specified as:
- An int or float
Returns
-------
int|float
"""
return self["legendrank"]
@legendrank.setter
def legendrank(self, val):
self["legendrank"] = val
# line
# ----
@property
def line(self):
"""
The 'line' property is an instance of Line
that may be specified as:
- An instance of :class:`plotly.graph_objs.parcoords.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 the line color. It accepts either a
specific color or an array of numbers that are
mapped to the colorscale relative to the max
and min values of the array or relative to
`line.cmin` and `line.cmax` if set.
coloraxis
Sets a reference to a shared color axis.
References to these shared color axes are
"coloraxis", "coloraxis2", "coloraxis3", etc.
Settings for these shared color axes are set in
the layout, under `layout.coloraxis`,
`layout.coloraxis2`, etc. Note that multiple
color scales can be linked to the same color
axis.
colorbar
:class:`plotly.graph_objects.parcoords.line.Col
orBar` 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: Blackbody,Bl
uered,Blues,Cividis,Earth,Electric,Greens,Greys
,Hot,Jet,Picnic,Portland,Rainbow,RdBu,Reds,Viri
dis,YlGnBu,YlOrRd.
colorsrc
Sets the source reference on Chart Studio Cloud
for `color`.
reversescale
Reverses the color mapping if true. Has an
effect only if in `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.
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.parcoords.Line
"""
return self["line"]
@line.setter
def line(self, val):
self["line"] = val
# meta
# ----
@property
def meta(self):
"""
Assigns extra meta information associated with this trace that
can be used in various text attributes. Attributes such as
trace `name`, graph, axis and colorbar `title.text`, annotation
`text` `rangeselector`, `updatemenues` and `sliders` `label`
text all support `meta`. To access the trace `meta` values in
an attribute in the same trace, simply use `%{meta[i]}` where
`i` is the index or key of the `meta` item in question. To
access trace `meta` in layout attributes, use
`%{data[n[.meta[i]}` where `i` is the index or key of the
`meta` and `n` is the trace index.
The 'meta' property accepts values of any type
Returns
-------
Any|numpy.ndarray
"""
return self["meta"]
@meta.setter
def meta(self, val):
self["meta"] = val
# metasrc
# -------
@property
def metasrc(self):
"""
Sets the source reference on Chart Studio Cloud for `meta`.
The 'metasrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["metasrc"]
@metasrc.setter
def metasrc(self, val):
self["metasrc"] = 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
# rangefont
# ---------
@property
def rangefont(self):
"""
Sets the font for the `dimension` range values.
The 'rangefont' property is an instance of Rangefont
that may be specified as:
- An instance of :class:`plotly.graph_objs.parcoords.Rangefont`
- A dict of string/value properties that will be passed
to the Rangefont 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.parcoords.Rangefont
"""
return self["rangefont"]
@rangefont.setter
def rangefont(self, val):
self["rangefont"] = val
# stream
# ------
@property
def stream(self):
"""
The 'stream' property is an instance of Stream
that may be specified as:
- An instance of :class:`plotly.graph_objs.parcoords.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://chart-
studio.plotly.com/settings for more details.
Returns
-------
plotly.graph_objs.parcoords.Stream
"""
return self["stream"]
@stream.setter
def stream(self, val):
self["stream"] = val
# tickfont
# --------
@property
def tickfont(self):
"""
Sets the font for the `dimension` tick values.
The 'tickfont' property is an instance of Tickfont
that may be specified as:
- An instance of :class:`plotly.graph_objs.parcoords.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 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.parcoords.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"]
# Self properties description
# ---------------------------
@property
def _prop_descriptions(self):
return """\
customdata
Assigns extra data each datum. This may be useful when
listening to hover, click and selection events. Note
that, "scatter" traces also appends customdata items in
the markers DOM elements
customdatasrc
Sets the source reference on Chart Studio Cloud for
`customdata`.
dimensions
The dimensions (variables) of the parallel coordinates
chart. 2..60 dimensions are supported.
dimensiondefaults
When used in a template (as
layout.template.data.parcoords.dimensiondefaults), sets
the default property values to use for elements of
parcoords.dimensions
domain
:class:`plotly.graph_objects.parcoords.Domain` instance
or dict with compatible properties
ids
Assigns id labels to each datum. These ids for object
constancy of data points during animation. Should be an
array of strings, not numbers or any other type.
idssrc
Sets the source reference on Chart Studio Cloud for
`ids`.
labelangle
Sets the angle of the labels with respect to the
horizontal. For example, a `tickangle` of -90 draws the
labels vertically. Tilted labels with "labelangle" may
be positioned better inside margins when
`labelposition` is set to "bottom".
labelfont
Sets the font for the `dimension` labels.
labelside
Specifies the location of the `label`. "top" positions
labels above, next to the title "bottom" positions
labels below the graph Tilted labels with "labelangle"
may be positioned better inside margins when
`labelposition` is set to "bottom".
legendgrouptitle
:class:`plotly.graph_objects.parcoords.Legendgrouptitle
` instance or dict with compatible properties
legendrank
Sets the legend rank for this trace. Items and groups
with smaller ranks are presented on top/left side while
with `*reversed* `legend.traceorder` they are on
bottom/right side. The default legendrank is 1000, so
that you can use ranks less than 1000 to place certain
items before all unranked items, and ranks greater than
1000 to go after all unranked items.
line
:class:`plotly.graph_objects.parcoords.Line` instance
or dict with compatible properties
meta
Assigns extra meta information associated with this
trace that can be used in various text attributes.
Attributes such as trace `name`, graph, axis and
colorbar `title.text`, annotation `text`
`rangeselector`, `updatemenues` and `sliders` `label`
text all support `meta`. To access the trace `meta`
values in an attribute in the same trace, simply use
`%{meta[i]}` where `i` is the index or key of the
`meta` item in question. To access trace `meta` in
layout attributes, use `%{data[n[.meta[i]}` where `i`
is the index or key of the `meta` and `n` is the trace
index.
metasrc
Sets the source reference on Chart Studio Cloud for
`meta`.
name
Sets the trace name. The trace name appear as the
legend item and on hover.
rangefont
Sets the font for the `dimension` range values.
stream
:class:`plotly.graph_objects.parcoords.Stream` instance
or dict with compatible properties
tickfont
Sets the font for the `dimension` tick values.
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,
customdata=None,
customdatasrc=None,
dimensions=None,
dimensiondefaults=None,
domain=None,
ids=None,
idssrc=None,
labelangle=None,
labelfont=None,
labelside=None,
legendgrouptitle=None,
legendrank=None,
line=None,
meta=None,
metasrc=None,
name=None,
rangefont=None,
stream=None,
tickfont=None,
uid=None,
uirevision=None,
visible=None,
**kwargs,
):
"""
Construct a new Parcoords object
Parallel coordinates for multidimensional exploratory data
analysis. The samples are specified in `dimensions`. The colors
are set in `line.color`.
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.Parcoords`
customdata
Assigns extra data each datum. This may be useful when
listening to hover, click and selection events. Note
that, "scatter" traces also appends customdata items in
the markers DOM elements
customdatasrc
Sets the source reference on Chart Studio Cloud for
`customdata`.
dimensions
The dimensions (variables) of the parallel coordinates
chart. 2..60 dimensions are supported.
dimensiondefaults
When used in a template (as
layout.template.data.parcoords.dimensiondefaults), sets
the default property values to use for elements of
parcoords.dimensions
domain
:class:`plotly.graph_objects.parcoords.Domain` instance
or dict with compatible properties
ids
Assigns id labels to each datum. These ids for object
constancy of data points during animation. Should be an
array of strings, not numbers or any other type.
idssrc
Sets the source reference on Chart Studio Cloud for
`ids`.
labelangle
Sets the angle of the labels with respect to the
horizontal. For example, a `tickangle` of -90 draws the
labels vertically. Tilted labels with "labelangle" may
be positioned better inside margins when
`labelposition` is set to "bottom".
labelfont
Sets the font for the `dimension` labels.
labelside
Specifies the location of the `label`. "top" positions
labels above, next to the title "bottom" positions
labels below the graph Tilted labels with "labelangle"
may be positioned better inside margins when
`labelposition` is set to "bottom".
legendgrouptitle
:class:`plotly.graph_objects.parcoords.Legendgrouptitle
` instance or dict with compatible properties
legendrank
Sets the legend rank for this trace. Items and groups
with smaller ranks are presented on top/left side while
with `*reversed* `legend.traceorder` they are on
bottom/right side. The default legendrank is 1000, so
that you can use ranks less than 1000 to place certain
items before all unranked items, and ranks greater than
1000 to go after all unranked items.
line
:class:`plotly.graph_objects.parcoords.Line` instance
or dict with compatible properties
meta
Assigns extra meta information associated with this
trace that can be used in various text attributes.
Attributes such as trace `name`, graph, axis and
colorbar `title.text`, annotation `text`
`rangeselector`, `updatemenues` and `sliders` `label`
text all support `meta`. To access the trace `meta`
values in an attribute in the same trace, simply use
`%{meta[i]}` where `i` is the index or key of the
`meta` item in question. To access trace `meta` in
layout attributes, use `%{data[n[.meta[i]}` where `i`
is the index or key of the `meta` and `n` is the trace
index.
metasrc
Sets the source reference on Chart Studio Cloud for
`meta`.
name
Sets the trace name. The trace name appear as the
legend item and on hover.
rangefont
Sets the font for the `dimension` range values.
stream
:class:`plotly.graph_objects.parcoords.Stream` instance
or dict with compatible properties
tickfont
Sets the font for the `dimension` tick values.
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
-------
Parcoords
"""
super(Parcoords, self).__init__("parcoords")
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.Parcoords
constructor must be a dict or
an instance of :class:`plotly.graph_objs.Parcoords`"""
)
# 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("customdata", None)
_v = customdata if customdata is not None else _v
if _v is not None:
self["customdata"] = _v
_v = arg.pop("customdatasrc", None)
_v = customdatasrc if customdatasrc is not None else _v
if _v is not None:
self["customdatasrc"] = _v
_v = arg.pop("dimensions", None)
_v = dimensions if dimensions is not None else _v
if _v is not None:
self["dimensions"] = _v
_v = arg.pop("dimensiondefaults", None)
_v = dimensiondefaults if dimensiondefaults is not None else _v
if _v is not None:
self["dimensiondefaults"] = _v
_v = arg.pop("domain", None)
_v = domain if domain is not None else _v
if _v is not None:
self["domain"] = _v
_v = arg.pop("ids", None)
_v = ids if ids is not None else _v
if _v is not None:
self["ids"] = _v
_v = arg.pop("idssrc", None)
_v = idssrc if idssrc is not None else _v
if _v is not None:
self["idssrc"] = _v
_v = arg.pop("labelangle", None)
_v = labelangle if labelangle is not None else _v
if _v is not None:
self["labelangle"] = _v
_v = arg.pop("labelfont", None)
_v = labelfont if labelfont is not None else _v
if _v is not None:
self["labelfont"] = _v
_v = arg.pop("labelside", None)
_v = labelside if labelside is not None else _v
if _v is not None:
self["labelside"] = _v
_v = arg.pop("legendgrouptitle", None)
_v = legendgrouptitle if legendgrouptitle is not None else _v
if _v is not None:
self["legendgrouptitle"] = _v
_v = arg.pop("legendrank", None)
_v = legendrank if legendrank is not None else _v
if _v is not None:
self["legendrank"] = _v
_v = arg.pop("line", None)
_v = line if line is not None else _v
if _v is not None:
self["line"] = _v
_v = arg.pop("meta", None)
_v = meta if meta is not None else _v
if _v is not None:
self["meta"] = _v
_v = arg.pop("metasrc", None)
_v = metasrc if metasrc is not None else _v
if _v is not None:
self["metasrc"] = _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("rangefont", None)
_v = rangefont if rangefont is not None else _v
if _v is not None:
self["rangefont"] = _v
_v = arg.pop("stream", None)
_v = stream if stream is not None else _v
if _v is not None:
self["stream"] = _v
_v = arg.pop("tickfont", None)
_v = tickfont if tickfont is not None else _v
if _v is not None:
self["tickfont"] = _v
_v = arg.pop("uid", None)
_v = uid if uid is not None else _v
if _v is not None:
self["uid"] = _v
_v = arg.pop("uirevision", None)
_v = uirevision if uirevision is not None else _v
if _v is not None:
self["uirevision"] = _v
_v = arg.pop("visible", None)
_v = visible if visible is not None else _v
if _v is not None:
self["visible"] = _v
# Read-only literals
# ------------------
self._props["type"] = "parcoords"
arg.pop("type", None)
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False