Sets the trace name. The trace name appear as the legend item and on hover.

• text
  Code: fig.update_traces(title_text=<VALUE>, selector=dict(type='indicator'))
  Type: string

  Sets the title of this indicator.

• align
  Code: fig.update_traces(title_align=<VALUE>, selector=dict(type='indicator'))
  Type: enumerated , one of ( "left" | "center" | "right" )

  Sets the horizontal alignment of the title. It defaults to `center` except for bullet charts for which it defaults to right.

• font
  Code: fig.update_traces(title_font=dict(...), selector=dict(type='indicator'))
  Type: dict containing one or more of the keys listed below.

  Set the font used to display the title

  • family
    Code: fig.update_traces(title_font_family=<VALUE>, selector=dict(type='indicator'))
    Type: string

    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
    Code: fig.update_traces(title_font_size=<VALUE>, selector=dict(type='indicator'))
    Type: number greater than or equal to 1
  • color
    Code: fig.update_traces(title_font_color=<VALUE>, selector=dict(type='indicator'))
    Type: color

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).

Determines how the value is displayed on the graph. `number` displays the value numerically in text. `delta` displays the difference to a reference value in text. Finally, `gauge` displays the value graphically on an axis.

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.

Sets the number to be displayed.

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.

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

• x
  Code: fig.update_traces(domain_x=<VALUE>, selector=dict(type='indicator'))
  Type: list
  Default: [0, 1]

  Sets the horizontal domain of this indicator trace (in plot fraction).

• y
  Code: fig.update_traces(domain_y=<VALUE>, selector=dict(type='indicator'))
  Type: list
  Default: [0, 1]

  Sets the vertical domain of this indicator trace (in plot fraction).

• row
  Code: fig.update_traces(domain_row=<VALUE>, selector=dict(type='indicator'))
  Type: integer greater than or equal to 0
  Default: 0

  If there is a layout grid, use the domain for this row in the grid for this indicator trace .

• column
  Code: fig.update_traces(domain_column=<VALUE>, selector=dict(type='indicator'))
  Type: integer greater than or equal to 0
  Default: 0

  If there is a layout grid, use the domain for this column in the grid for this indicator trace .

Sets the horizontal alignment of the `text` within the box. Note that this attribute has no effect if an angular gauge is displayed: in this case, it is always centered

• reference
  Code: fig.update_traces(delta_reference=<VALUE>, selector=dict(type='indicator'))
  Type: number

  Sets the reference value to compute the delta. By default, it is set to the current value.

• position
  Code: fig.update_traces(delta_position=<VALUE>, selector=dict(type='indicator'))
  Type: enumerated , one of ( "top" | "bottom" | "left" | "right" )
  Default: "bottom"

  Sets the position of delta with respect to the number.

• relative
  Code: fig.update_traces(delta_relative=<VALUE>, selector=dict(type='indicator'))
  Type: boolean

  Show relative change

• valueformat
  Code: fig.update_traces(delta_valueformat=<VALUE>, selector=dict(type='indicator'))
  Type: string

  Sets the value formatting rule using d3 formatting mini-language which is similar to those of Python. See https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format

• increasing
  Code: fig.update_traces(delta_increasing=dict(...), selector=dict(type='indicator'))
  Type: dict containing one or more of the keys listed below.
  • symbol
    Code: fig.update_traces(delta_increasing_symbol=<VALUE>, selector=dict(type='indicator'))
    Type: string
    Default: "▲"

    Sets the symbol to display for increasing value

  • color
    Code: fig.update_traces(delta_increasing_color=<VALUE>, selector=dict(type='indicator'))
    Type: color
    Default: "#3D9970"

    Sets the color for increasing value.

• decreasing
  Code: fig.update_traces(delta_decreasing=dict(...), selector=dict(type='indicator'))
  Type: dict containing one or more of the keys listed below.
  • symbol
    Code: fig.update_traces(delta_decreasing_symbol=<VALUE>, selector=dict(type='indicator'))
    Type: string
    Default: "▼"

    Sets the symbol to display for increasing value

  • color
    Code: fig.update_traces(delta_decreasing_color=<VALUE>, selector=dict(type='indicator'))
    Type: color
    Default: "#FF4136"

    Sets the color for increasing value.

• font
  Code: fig.update_traces(delta_font=dict(...), selector=dict(type='indicator'))
  Type: dict containing one or more of the keys listed below.

  Set the font used to display the delta

  • family
    Code: fig.update_traces(delta_font_family=<VALUE>, selector=dict(type='indicator'))
    Type: string

    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
    Code: fig.update_traces(delta_font_size=<VALUE>, selector=dict(type='indicator'))
    Type: number greater than or equal to 1
  • color
    Code: fig.update_traces(delta_font_color=<VALUE>, selector=dict(type='indicator'))
    Type: color

• valueformat
  Code: fig.update_traces(number_valueformat=<VALUE>, selector=dict(type='indicator'))
  Type: string
  Default: ""

  Sets the value formatting rule using d3 formatting mini-language which is similar to those of Python. See https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format

• font
  Code: fig.update_traces(number_font=dict(...), selector=dict(type='indicator'))
  Type: dict containing one or more of the keys listed below.

  Set the font used to display main number

  • family
    Code: fig.update_traces(number_font_family=<VALUE>, selector=dict(type='indicator'))
    Type: string

    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
    Code: fig.update_traces(number_font_size=<VALUE>, selector=dict(type='indicator'))
    Type: number greater than or equal to 1
  • color
    Code: fig.update_traces(number_font_color=<VALUE>, selector=dict(type='indicator'))
    Type: color
• prefix
  Code: fig.update_traces(number_prefix=<VALUE>, selector=dict(type='indicator'))
  Type: string
  Default: ""

  Sets a prefix appearing before the number.

• suffix
  Code: fig.update_traces(number_suffix=<VALUE>, selector=dict(type='indicator'))
  Type: string
  Default: ""

  Sets a suffix appearing next to the number.

The gauge of the Indicator plot.

• shape
  Code: fig.update_traces(gauge_shape=<VALUE>, selector=dict(type='indicator'))
  Type: enumerated , one of ( "angular" | "bullet" )
  Default: "angular"

  Set the shape of the gauge

• bar
  Code: fig.update_traces(gauge_bar=dict(...), selector=dict(type='indicator'))
  Type: dict containing one or more of the keys listed below.

  Set the appearance of the gauge's value

  • color
    Code: fig.update_traces(gauge_bar_color=<VALUE>, selector=dict(type='indicator'))
    Type: color
    Default: "green"

    Sets the background color of the arc.

  • line
    Code: fig.update_traces(gauge_bar_line=dict(...), selector=dict(type='indicator'))
    Type: dict containing one or more of the keys listed below.
    • color
      Code: fig.update_traces(gauge_bar_line_color=<VALUE>, selector=dict(type='indicator'))
      Type: color
      Default: "#444"

      Sets the color of the line enclosing each sector.

    • width
      Code: fig.update_traces(gauge_bar_line_width=<VALUE>, selector=dict(type='indicator'))
      Type: number greater than or equal to 0
      Default: 0

      Sets the width (in px) of the line enclosing each sector.

  • thickness
    Code: fig.update_traces(gauge_bar_thickness=<VALUE>, selector=dict(type='indicator'))
    Type: number between or equal to 0 and 1
    Default: 1

    Sets the thickness of the bar as a fraction of the total thickness of the gauge.

• bgcolor
  Code: fig.update_traces(gauge_bgcolor=<VALUE>, selector=dict(type='indicator'))
  Type: color

  Sets the gauge background color.

• bordercolor
  Code: fig.update_traces(gauge_bordercolor=<VALUE>, selector=dict(type='indicator'))
  Type: color
  Default: "#444"

  Sets the color of the border enclosing the gauge.

• borderwidth
  Code: fig.update_traces(gauge_borderwidth=<VALUE>, selector=dict(type='indicator'))
  Type: number greater than or equal to 0
  Default: 1

  Sets the width (in px) of the border enclosing the gauge.

• axis
  Code: fig.update_traces(gauge_axis=dict(...), selector=dict(type='indicator'))
  Type: dict containing one or more of the keys listed below.
  • range
    Code: fig.update_traces(gauge_axis_range=<VALUE>, selector=dict(type='indicator'))
    Type: list

    Sets the range of this axis.

  • visible
    Code: fig.update_traces(gauge_axis_visible=<VALUE>, selector=dict(type='indicator'))
    Type: boolean
    Default: True

    A single toggle to hide the axis while preserving interaction like dragging. Default is True when a cheater plot is present on the axis, otherwise False

  • tickmode
    Code: fig.update_traces(gauge_axis_tickmode=<VALUE>, selector=dict(type='indicator'))
    Type: enumerated , one of ( "auto" | "linear" | "array" )

    Sets the tick mode for this axis. If "auto", the number of ticks is set via `nticks`. If "linear", the placement of the ticks is determined by a starting position `tick0` and a tick step `dtick` ("linear" is the default value if `tick0` and `dtick` are provided). If "array", the placement of the ticks is set via `tickvals` and the tick text is `ticktext`. ("array" is the default value if `tickvals` is provided).

  • nticks
    Code: fig.update_traces(gauge_axis_nticks=<VALUE>, selector=dict(type='indicator'))
    Type: integer greater than or equal to 0
    Default: 0

    Specifies the maximum number of ticks for the particular axis. The actual number of ticks will be chosen automatically to be less than or equal to `nticks`. Has an effect only if `tickmode` is set to "auto".

  • tick0
    Code: fig.update_traces(gauge_axis_tick0=<VALUE>, selector=dict(type='indicator'))
    Type: number or categorical coordinate string

    Sets the placement of the first tick on this axis. Use with `dtick`. If the axis `type` is "log", then you must take the log of your starting tick (e.g. to set the starting tick to 100, set the `tick0` to 2) except when `dtick`="L<f>" (see `dtick` for more info). If the axis `type` is "date", it should be a date string, like date data. If the axis `type` is "category", it should be a number, using the scale where each category is assigned a serial number from zero in the order it appears.

  • dtick
    Code: fig.update_traces(gauge_axis_dtick=<VALUE>, selector=dict(type='indicator'))
    Type: number or categorical coordinate string

    Sets the step in-between ticks on this axis. Use with `tick0`. Must be a positive number, or special strings available to "log" and "date" axes. If the axis `type` is "log", then ticks are set every 10^(n"dtick) where n is the tick number. For example, to set a tick mark at 1, 10, 100, 1000, ... set dtick to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2. To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to log_10(5), or 0.69897000433. "log" has several special values; "L<f>", where `f` is a positive number, gives ticks linearly spaced in value (but not position). For example `tick0` = 0.1, `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus small digits between, use "D1" (all digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and "D2". If the axis `type` is "date", then you must convert the time to milliseconds. For example, to set the interval between ticks to one day, set `dtick` to 86400000.0. "date" also has special values "M<n>" gives ticks spaced by a number of months. `n` must be a positive integer. To set ticks on the 15th of every third month, set `tick0` to "2000-01-15" and `dtick` to "M3". To set ticks every 4 years, set `dtick` to "M48"

  • tickvals
    Code: fig.update_traces(gauge_axis_tickvals=<VALUE>, selector=dict(type='indicator'))
    Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.

    Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`.

  • ticktext
    Code: fig.update_traces(gauge_axis_ticktext=<VALUE>, selector=dict(type='indicator'))
    Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.

    Sets the text displayed at the ticks position via `tickvals`. Only has an effect if `tickmode` is set to "array". Used with `tickvals`.

  • ticks
    Code: fig.update_traces(gauge_axis_ticks=<VALUE>, selector=dict(type='indicator'))
    Type: enumerated , one of ( "outside" | "inside" | "" )
    Default: "outside"

    Determines whether ticks are drawn or not. If "", this axis' ticks are not drawn. If "outside" ("inside"), this axis' are drawn outside (inside) the axis lines.

  • ticklen
    Code: fig.update_traces(gauge_axis_ticklen=<VALUE>, selector=dict(type='indicator'))
    Type: number greater than or equal to 0
    Default: 5

    Sets the tick length (in px).

  • tickwidth
    Code: fig.update_traces(gauge_axis_tickwidth=<VALUE>, selector=dict(type='indicator'))
    Type: number greater than or equal to 0
    Default: 1

    Sets the tick width (in px).

  • tickcolor
    Code: fig.update_traces(gauge_axis_tickcolor=<VALUE>, selector=dict(type='indicator'))
    Type: color
    Default: "#444"

    Sets the tick color.

  • showticklabels
    Code: fig.update_traces(gauge_axis_showticklabels=<VALUE>, selector=dict(type='indicator'))
    Type: boolean
    Default: True

    Determines whether or not the tick labels are drawn.

  • tickfont
    Code: fig.update_traces(gauge_axis_tickfont=dict(...), selector=dict(type='indicator'))
    Type: dict containing one or more of the keys listed below.

    Sets the color bar's tick label font

    • family
      Code: fig.update_traces(gauge_axis_tickfont_family=<VALUE>, selector=dict(type='indicator'))
      Type: string

      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
      Code: fig.update_traces(gauge_axis_tickfont_size=<VALUE>, selector=dict(type='indicator'))
      Type: number greater than or equal to 1
    • color
      Code: fig.update_traces(gauge_axis_tickfont_color=<VALUE>, selector=dict(type='indicator'))
      Type: color
  • tickangle
    Code: fig.update_traces(gauge_axis_tickangle=<VALUE>, selector=dict(type='indicator'))
    Type: angle
    Default: "auto"

    Sets the angle of the tick labels with respect to the horizontal. For example, a `tickangle` of -90 draws the tick labels vertically.

  • tickformat
    Code: fig.update_traces(gauge_axis_tickformat=<VALUE>, selector=dict(type='indicator'))
    Type: string
    Default: ""

    Sets the tick label formatting rule using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format And for dates see: https://github.com/d3/d3-time-format#locale_format We add one item to d3's date formatter: "%{n}f" for fractional seconds with n digits. For example, "2016-10-13 09:15:23.456" with tickformat "%H~%M~%S.%2f" would display "09~15~23.46"

  • tickformatstops
    Code: fig.update_traces(gauge_axis_tickformatstops=list(...), selector=dict(type='indicator'))
    Type: list of dict where each dict has one or more of the keys listed below.
    • enabled
      Parent: data[type=indicator].gauge.axis.tickformatstops[]
      Type: boolean
      Default: True

      Determines whether or not this stop is used. If `False`, this stop is ignored even within its `dtickrange`.

    • dtickrange
      Parent: data[type=indicator].gauge.axis.tickformatstops[]
      Type: list

      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"

    • value
      Parent: data[type=indicator].gauge.axis.tickformatstops[]
      Type: string
      Default: ""

      string - dtickformat for described zoom level, the same as "tickformat"

    • name
      Parent: data[type=indicator].gauge.axis.tickformatstops[]
      Type: string

      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
      Parent: data[type=indicator].gauge.axis.tickformatstops[]
      Type: string

      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`.

  • tickprefix
    Code: fig.update_traces(gauge_axis_tickprefix=<VALUE>, selector=dict(type='indicator'))
    Type: string
    Default: ""

    Sets a tick label prefix.

  • showtickprefix
    Code: fig.update_traces(gauge_axis_showtickprefix=<VALUE>, selector=dict(type='indicator'))
    Type: enumerated , one of ( "all" | "first" | "last" | "none" )
    Default: "all"

    If "all", all tick labels are displayed with a prefix. If "first", only the first tick is displayed with a prefix. If "last", only the last tick is displayed with a suffix. If "none", tick prefixes are hidden.

  • ticksuffix
    Code: fig.update_traces(gauge_axis_ticksuffix=<VALUE>, selector=dict(type='indicator'))
    Type: string
    Default: ""

    Sets a tick label suffix.

  • showticksuffix
    Code: fig.update_traces(gauge_axis_showticksuffix=<VALUE>, selector=dict(type='indicator'))
    Type: enumerated , one of ( "all" | "first" | "last" | "none" )
    Default: "all"

    Same as `showtickprefix` but for tick suffixes.

  • separatethousands
    Code: fig.update_traces(gauge_axis_separatethousands=<VALUE>, selector=dict(type='indicator'))
    Type: boolean

    If "True", even 4-digit integers are separated

  • exponentformat
    Code: fig.update_traces(gauge_axis_exponentformat=<VALUE>, selector=dict(type='indicator'))
    Type: enumerated , one of ( "none" | "e" | "E" | "power" | "SI" | "B" )
    Default: "B"

    Determines a formatting rule for the tick exponents. For example, consider the number 1,000,000,000. If "none", it appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If "B", 1B.

  • minexponent
    Code: fig.update_traces(gauge_axis_minexponent=<VALUE>, selector=dict(type='indicator'))
    Type: number greater than or equal to 0
    Default: 3

    Hide SI prefix for 10^n if |n| is below this number. This only has an effect when `tickformat` is "SI" or "B".

  • showexponent
    Code: fig.update_traces(gauge_axis_showexponent=<VALUE>, selector=dict(type='indicator'))
    Type: enumerated , one of ( "all" | "first" | "last" | "none" )
    Default: "all"

    If "all", all exponents are shown besides their significands. If "first", only the exponent of the first tick is shown. If "last", only the exponent of the last tick is shown. If "none", no exponents appear.

• steps
  Code: fig.update_traces(gauge_steps=list(...), selector=dict(type='indicator'))
  Type: list of dict where each dict has one or more of the keys listed below.
  • color
    Parent: data[type=indicator].gauge.steps[]
    Type: color

    Sets the background color of the arc.

  • line
    Parent: data[type=indicator].gauge.steps[]
    Type: dict containing one or more of the keys listed below.
    • color
      Parent: data[type=indicator].gauge.steps[].line
      Type: color
      Default: "#444"

      Sets the color of the line enclosing each sector.

    • width
      Parent: data[type=indicator].gauge.steps[].line
      Type: number greater than or equal to 0
      Default: 0

      Sets the width (in px) of the line enclosing each sector.

  • thickness
    Parent: data[type=indicator].gauge.steps[]
    Type: number between or equal to 0 and 1
    Default: 1

    Sets the thickness of the bar as a fraction of the total thickness of the gauge.

  • range
    Parent: data[type=indicator].gauge.steps[]
    Type: list

    Sets the range of this axis.

  • name
    Parent: data[type=indicator].gauge.steps[]
    Type: string

    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
    Parent: data[type=indicator].gauge.steps[]
    Type: string

    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`.

• threshold
  Code: fig.update_traces(gauge_threshold=dict(...), selector=dict(type='indicator'))
  Type: dict containing one or more of the keys listed below.
  • line
    Code: fig.update_traces(gauge_threshold_line=dict(...), selector=dict(type='indicator'))
    Type: dict containing one or more of the keys listed below.
    • color
      Code: fig.update_traces(gauge_threshold_line_color=<VALUE>, selector=dict(type='indicator'))
      Type: color
      Default: "#444"

      Sets the color of the threshold line.

    • width
      Code: fig.update_traces(gauge_threshold_line_width=<VALUE>, selector=dict(type='indicator'))
      Type: number greater than or equal to 0
      Default: 1

      Sets the width (in px) of the threshold line.

  • thickness
    Code: fig.update_traces(gauge_threshold_thickness=<VALUE>, selector=dict(type='indicator'))
    Type: number between or equal to 0 and 1
    Default: 0.85

    Sets the thickness of the threshold line as a fraction of the thickness of the gauge.

  • value
    Code: fig.update_traces(gauge_threshold_value=<VALUE>, selector=dict(type='indicator'))
    Type: number

    Sets a treshold value drawn as a line.

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.