_streamtube.py

from plotly.basedatatypes import BaseTraceType
import copy


class Streamtube(BaseTraceType):

    # autocolorscale
    # --------------
    @property
    def autocolorscale(self):
        """
        Determines whether the colorscale is a default palette
        (`autocolorscale: true`) or the palette determined by
        `colorscale`. 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.
    
        The 'autocolorscale' property must be specified as a bool
        (either True, or False)

        Returns
        -------
        bool
        """
        return self['autocolorscale']

    @autocolorscale.setter
    def autocolorscale(self, val):
        self['autocolorscale'] = val

    # cauto
    # -----
    @property
    def cauto(self):
        """
        Determines whether or not the color domain is computed with
        respect to the input data (here u/v/w norm) or the bounds set
        in `cmin` and `cmax`  Defaults to `false` when `cmin` and
        `cmax` are set by the user.
    
        The 'cauto' property must be specified as a bool
        (either True, or False)

        Returns
        -------
        bool
        """
        return self['cauto']

    @cauto.setter
    def cauto(self, val):
        self['cauto'] = val

    # cmax
    # ----
    @property
    def cmax(self):
        """
        Sets the upper bound of the color domain. Value should have the
        same units as u/v/w norm and if set, `cmin` must be set as
        well.
    
        The 'cmax' property is a number and may be specified as:
          - An int or float

        Returns
        -------
        int|float
        """
        return self['cmax']

    @cmax.setter
    def cmax(self, val):
        self['cmax'] = val

    # cmid
    # ----
    @property
    def cmid(self):
        """
        Sets the mid-point of the color domain by scaling `cmin` and/or
        `cmax` to be equidistant to this point. Value should have the
        same units as u/v/w norm. Has no effect when `cauto` is
        `false`.
    
        The 'cmid' property is a number and may be specified as:
          - An int or float

        Returns
        -------
        int|float
        """
        return self['cmid']

    @cmid.setter
    def cmid(self, val):
        self['cmid'] = val

    # cmin
    # ----
    @property
    def cmin(self):
        """
        Sets the lower bound of the color domain. Value should have the
        same units as u/v/w norm and if set, `cmax` must be set as
        well.
    
        The 'cmin' property is a number and may be specified as:
          - An int or float

        Returns
        -------
        int|float
        """
        return self['cmin']

    @cmin.setter
    def cmin(self, val):
        self['cmin'] = val

    # colorbar
    # --------
    @property
    def colorbar(self):
        """
        The 'colorbar' property is an instance of ColorBar
        that may be specified as:
          - An instance of plotly.graph_objs.streamtube.ColorBar
          - A dict of string/value properties that will be passed
            to the ColorBar constructor
    
            Supported dict properties:
                
                bgcolor
                    Sets the color of padded area.
                bordercolor
                    Sets the axis line color.
                borderwidth
                    Sets the width (in px) or the border enclosing
                    this color bar.
                dtick
                    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"
                exponentformat
                    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.
                len
                    Sets the length of the color bar This measure
                    excludes the padding of both ends. That is, the
                    color bar length is this length minus the
                    padding on both ends.
                lenmode
                    Determines whether this color bar's length
                    (i.e. the measure in the color variation
                    direction) is set in units of plot "fraction"
                    or in *pixels. Use `len` to set the value.
                nticks
                    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".
                outlinecolor
                    Sets the axis line color.
                outlinewidth
                    Sets the width (in px) of the axis line.
                separatethousands
                    If "true", even 4-digit integers are separated
                showexponent
                    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.
                showticklabels
                    Determines whether or not the tick labels are
                    drawn.
                showtickprefix
                    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.
                showticksuffix
                    Same as `showtickprefix` but for tick suffixes.
                thickness
                    Sets the thickness of the color bar This
                    measure excludes the size of the padding, ticks
                    and labels.
                thicknessmode
                    Determines whether this color bar's thickness
                    (i.e. the measure in the constant color
                    direction) is set in units of plot "fraction"
                    or in "pixels". Use `thickness` to set the
                    value.
                tick0
                    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.
                tickangle
                    Sets the angle of the tick labels with respect
                    to the horizontal. For example, a `tickangle`
                    of -90 draws the tick labels vertically.
                tickcolor
                    Sets the tick color.
                tickfont
                    Sets the color bar's tick label font
                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/blob/master/READ
                    ME.md#locale_format And for dates see:
                    https://github.com/d3/d3-time-
                    format/blob/master/README.md#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
                    plotly.graph_objs.streamtube.colorbar.Tickforma
                    tstop instance or dict with compatible
                    properties
                tickformatstopdefaults
                    When used in a template (as layout.template.dat
                    a.streamtube.colorbar.tickformatstopdefaults),
                    sets the default property values to use for
                    elements of streamtube.colorbar.tickformatstops
                ticklen
                    Sets the tick length (in px).
                tickmode
                    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).
                tickprefix
                    Sets a tick label prefix.
                ticks
                    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.
                ticksuffix
                    Sets a tick label suffix.
                ticktext
                    Sets the text displayed at the ticks position
                    via `tickvals`. Only has an effect if
                    `tickmode` is set to "array". Used with
                    `tickvals`.
                ticktextsrc
                    Sets the source reference on plot.ly for
                    ticktext .
                tickvals
                    Sets the values at which ticks on this axis
                    appear. Only has an effect if `tickmode` is set
                    to "array". Used with `ticktext`.
                tickvalssrc
                    Sets the source reference on plot.ly for
                    tickvals .
                tickwidth
                    Sets the tick width (in px).
                title
                    plotly.graph_objs.streamtube.colorbar.Title
                    instance or dict with compatible properties
                titlefont
                    Deprecated: Please use
                    streamtube.colorbar.title.font instead. Sets
                    this color bar's title font. Note that the
                    title's font used to be set by the now
                    deprecated `titlefont` attribute.
                titleside
                    Deprecated: Please use
                    streamtube.colorbar.title.side instead.
                    Determines the location of color bar's title
                    with respect to the color bar. Note that the
                    title's location used to be set by the now
                    deprecated `titleside` attribute.
                x
                    Sets the x position of the color bar (in plot
                    fraction).
                xanchor
                    Sets this color bar's horizontal position
                    anchor. This anchor binds the `x` position to
                    the "left", "center" or "right" of the color
                    bar.
                xpad
                    Sets the amount of padding (in px) along the x
                    direction.
                y
                    Sets the y position of the color bar (in plot
                    fraction).
                yanchor
                    Sets this color bar's vertical position anchor
                    This anchor binds the `y` position to the
                    "top", "middle" or "bottom" of the color bar.
                ypad
                    Sets the amount of padding (in px) along the y
                    direction.

        Returns
        -------
        plotly.graph_objs.streamtube.ColorBar
        """
        return self['colorbar']

    @colorbar.setter
    def colorbar(self, val):
        self['colorbar'] = val

    # colorscale
    # ----------
    @property
    def colorscale(self):
        """
        Sets the colorscale. 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`cmin` and `cmax`.
        Alternatively, `colorscale` may be a palette name string of the
        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
        ridis,Cividis.
    
        The 'colorscale' property is a colorscale and may be
        specified as:
          - A list of 2-element lists where the first element is the
            normalized color level value (starting at 0 and ending at 1), 
            and the second item is a valid color string.
            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
          - One of the following named colorscales:
                ['Greys', 'YlGnBu', 'Greens', 'YlOrRd', 'Bluered', 'RdBu',
                'Reds', 'Blues', 'Picnic', 'Rainbow', 'Portland', 'Jet',
                'Hot', 'Blackbody', 'Earth', 'Electric', 'Viridis', 'Cividis']

        Returns
        -------
        str
        """
        return self['colorscale']

    @colorscale.setter
    def colorscale(self, val):
        self['colorscale'] = val

    # 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 plot.ly 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

    # hoverinfo
    # ---------
    @property
    def hoverinfo(self):
        """
        Determines which trace information appear on hover. If `none`
        or `skip` are set, no information is displayed upon hovering.
        But, if `none` is set, click and hover events are still fired.
    
        The 'hoverinfo' property is a flaglist and may be specified
        as a string containing:
          - Any combination of ['x', 'y', 'z', 'u', 'v', 'w', 'norm', 'divergence', 'text', 'name'] joined with '+' characters
            (e.g. 'x+y')
            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
          - A list or array of the above

        Returns
        -------
        Any|numpy.ndarray
        """
        return self['hoverinfo']

    @hoverinfo.setter
    def hoverinfo(self, val):
        self['hoverinfo'] = val

    # hoverinfosrc
    # ------------
    @property
    def hoverinfosrc(self):
        """
        Sets the source reference on plot.ly for  hoverinfo .
    
        The 'hoverinfosrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self['hoverinfosrc']

    @hoverinfosrc.setter
    def hoverinfosrc(self, val):
        self['hoverinfosrc'] = val

    # hoverlabel
    # ----------
    @property
    def hoverlabel(self):
        """
        The 'hoverlabel' property is an instance of Hoverlabel
        that may be specified as:
          - An instance of plotly.graph_objs.streamtube.Hoverlabel
          - A dict of string/value properties that will be passed
            to the Hoverlabel constructor
    
            Supported dict properties:
                
                bgcolor
                    Sets the background color of the hover labels
                    for this trace
                bgcolorsrc
                    Sets the source reference on plot.ly for
                    bgcolor .
                bordercolor
                    Sets the border color of the hover labels for
                    this trace.
                bordercolorsrc
                    Sets the source reference on plot.ly for
                    bordercolor .
                font
                    Sets the font used in hover labels.
                namelength
                    Sets the length (in number of characters) of
                    the trace name in the hover labels for this
                    trace. -1 shows the whole name regardless of
                    length. 0-3 shows the first 0-3 characters, and
                    an integer >3 will show the whole name if it is
                    less than that many characters, but if it is
                    longer, will truncate to `namelength - 3`
                    characters and add an ellipsis.
                namelengthsrc
                    Sets the source reference on plot.ly for
                    namelength .

        Returns
        -------
        plotly.graph_objs.streamtube.Hoverlabel
        """
        return self['hoverlabel']

    @hoverlabel.setter
    def hoverlabel(self, val):
        self['hoverlabel'] = val

    # hovertemplate
    # -------------
    @property
    def hovertemplate(self):
        """
        Template string used for rendering the information that appear
        on hover box. Note that this will override `hoverinfo`.
        Variables are inserted using %{variable}, for example "y:
        %{y}". Numbers are formatted using d3-format's syntax
        %{variable:d3-format}, for example "Price: %{y:$.2f}". See http
        s://github.com/d3/d3-format/blob/master/README.md#locale_format
        for details on the formatting syntax. The variables available
        in `hovertemplate` are the ones emitted as event data described
        at this link https://plot.ly/javascript/plotlyjs-events/#event-
        data. Additionally, every attributes that can be specified per-
        point (the ones that are `arrayOk: true`) are available.
        variables `tubex`, `tubey`, `tubez`, `tubeu`, `tubev`, `tubew`,
        `norm` and `divergence`. Anything contained in tag `<extra>` is
        displayed in the secondary box, for example
        "<extra>{fullData.name}</extra>".
    
        The 'hovertemplate' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string
          - A tuple, list, or one-dimensional numpy array of the above

        Returns
        -------
        str|numpy.ndarray
        """
        return self['hovertemplate']

    @hovertemplate.setter
    def hovertemplate(self, val):
        self['hovertemplate'] = val

    # hovertemplatesrc
    # ----------------
    @property
    def hovertemplatesrc(self):
        """
        Sets the source reference on plot.ly for  hovertemplate .
    
        The 'hovertemplatesrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self['hovertemplatesrc']

    @hovertemplatesrc.setter
    def hovertemplatesrc(self, val):
        self['hovertemplatesrc'] = val

    # hovertext
    # ---------
    @property
    def hovertext(self):
        """
        Same as `text`.
    
        The 'hovertext' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string

        Returns
        -------
        str
        """
        return self['hovertext']

    @hovertext.setter
    def hovertext(self, val):
        self['hovertext'] = 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 plot.ly 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

    # legendgroup
    # -----------
    @property
    def legendgroup(self):
        """
        Sets the legend group for this trace. Traces part of the same
        legend group hide/show at the same time when toggling legend
        items.
    
        The 'legendgroup' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string

        Returns
        -------
        str
        """
        return self['legendgroup']

    @legendgroup.setter
    def legendgroup(self, val):
        self['legendgroup'] = val

    # lighting
    # --------
    @property
    def lighting(self):
        """
        The 'lighting' property is an instance of Lighting
        that may be specified as:
          - An instance of plotly.graph_objs.streamtube.Lighting
          - A dict of string/value properties that will be passed
            to the Lighting constructor
    
            Supported dict properties:
                
                ambient
                    Ambient light increases overall color
                    visibility but can wash out the image.
                diffuse
                    Represents the extent that incident rays are
                    reflected in a range of angles.
                facenormalsepsilon
                    Epsilon for face normals calculation avoids
                    math issues arising from degenerate geometry.
                fresnel
                    Represents the reflectance as a dependency of
                    the viewing angle; e.g. paper is reflective
                    when viewing it from the edge of the paper
                    (almost 90 degrees), causing shine.
                roughness
                    Alters specular reflection; the rougher the
                    surface, the wider and less contrasty the
                    shine.
                specular
                    Represents the level that incident rays are
                    reflected in a single direction, causing shine.
                vertexnormalsepsilon
                    Epsilon for vertex normals calculation avoids
                    math issues arising from degenerate geometry.

        Returns
        -------
        plotly.graph_objs.streamtube.Lighting
        """
        return self['lighting']

    @lighting.setter
    def lighting(self, val):
        self['lighting'] = val

    # lightposition
    # -------------
    @property
    def lightposition(self):
        """
        The 'lightposition' property is an instance of Lightposition
        that may be specified as:
          - An instance of plotly.graph_objs.streamtube.Lightposition
          - A dict of string/value properties that will be passed
            to the Lightposition constructor
    
            Supported dict properties:
                
                x
                    Numeric vector, representing the X coordinate
                    for each vertex.
                y
                    Numeric vector, representing the Y coordinate
                    for each vertex.
                z
                    Numeric vector, representing the Z coordinate
                    for each vertex.

        Returns
        -------
        plotly.graph_objs.streamtube.Lightposition
        """
        return self['lightposition']

    @lightposition.setter
    def lightposition(self, val):
        self['lightposition'] = val

    # maxdisplayed
    # ------------
    @property
    def maxdisplayed(self):
        """
        The maximum number of displayed segments in a streamtube.
    
        The 'maxdisplayed' 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['maxdisplayed']

    @maxdisplayed.setter
    def maxdisplayed(self, val):
        self['maxdisplayed'] = 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

    # opacity
    # -------
    @property
    def opacity(self):
        """
        Sets the opacity of the surface. Please note that in the case
        of using high `opacity` values for example a value greater than
        or equal to 0.5 on two surfaces (and 0.25 with four surfaces),
        an overlay of multiple transparent surfaces may not perfectly
        be sorted in depth by the webgl API. This behavior may be
        improved in the near future and is subject to change.
    
        The 'opacity' property is a number and may be specified as:
          - An int or float in the interval [0, 1]

        Returns
        -------
        int|float
        """
        return self['opacity']

    @opacity.setter
    def opacity(self, val):
        self['opacity'] = val

    # reversescale
    # ------------
    @property
    def reversescale(self):
        """
        Reverses the color mapping if true. If true, `cmin` will
        correspond to the last color in the array and `cmax` will
        correspond to the first color.
    
        The 'reversescale' property must be specified as a bool
        (either True, or False)

        Returns
        -------
        bool
        """
        return self['reversescale']

    @reversescale.setter
    def reversescale(self, val):
        self['reversescale'] = val

    # scene
    # -----
    @property
    def scene(self):
        """
        Sets a reference between this trace's 3D coordinate system and
        a 3D scene. If "scene" (the default value), the (x,y,z)
        coordinates refer to `layout.scene`. If "scene2", the (x,y,z)
        coordinates refer to `layout.scene2`, and so on.
    
        The 'scene' property is an identifier of a particular
        subplot, of type 'scene', that may be specified as the string 'scene'
        optionally followed by an integer >= 1
        (e.g. 'scene', 'scene1', 'scene2', 'scene3', etc.)

        Returns
        -------
        str
        """
        return self['scene']

    @scene.setter
    def scene(self, val):
        self['scene'] = val

    # selectedpoints
    # --------------
    @property
    def selectedpoints(self):
        """
        Array containing integer indices of selected points. Has an
        effect only for traces that support selections. Note that an
        empty array means an empty selection where the `unselected` are
        turned on for all points, whereas, any other non-array values
        means no selection all where the `selected` and `unselected`
        styles have no effect.
    
        The 'selectedpoints' property accepts values of any type

        Returns
        -------
        Any
        """
        return self['selectedpoints']

    @selectedpoints.setter
    def selectedpoints(self, val):
        self['selectedpoints'] = val

    # showlegend
    # ----------
    @property
    def showlegend(self):
        """
        Determines whether or not an item corresponding to this trace
        is shown in the legend.
    
        The 'showlegend' property must be specified as a bool
        (either True, or False)

        Returns
        -------
        bool
        """
        return self['showlegend']

    @showlegend.setter
    def showlegend(self, val):
        self['showlegend'] = val

    # showscale
    # ---------
    @property
    def showscale(self):
        """
        Determines whether or not a colorbar is displayed for this
        trace.
    
        The 'showscale' property must be specified as a bool
        (either True, or False)

        Returns
        -------
        bool
        """
        return self['showscale']

    @showscale.setter
    def showscale(self, val):
        self['showscale'] = val

    # sizeref
    # -------
    @property
    def sizeref(self):
        """
        The scaling factor for the streamtubes. The default is 1, which
        avoids two max divergence tubes from touching at adjacent
        starting positions.
    
        The 'sizeref' property is a number and may be specified as:
          - An int or float in the interval [0, inf]

        Returns
        -------
        int|float
        """
        return self['sizeref']

    @sizeref.setter
    def sizeref(self, val):
        self['sizeref'] = val

    # starts
    # ------
    @property
    def starts(self):
        """
        The 'starts' property is an instance of Starts
        that may be specified as:
          - An instance of plotly.graph_objs.streamtube.Starts
          - A dict of string/value properties that will be passed
            to the Starts constructor
    
            Supported dict properties:
                
                x
                    Sets the x components of the starting position
                    of the streamtubes
                xsrc
                    Sets the source reference on plot.ly for  x .
                y
                    Sets the y components of the starting position
                    of the streamtubes
                ysrc
                    Sets the source reference on plot.ly for  y .
                z
                    Sets the z components of the starting position
                    of the streamtubes
                zsrc
                    Sets the source reference on plot.ly for  z .

        Returns
        -------
        plotly.graph_objs.streamtube.Starts
        """
        return self['starts']

    @starts.setter
    def starts(self, val):
        self['starts'] = val

    # stream
    # ------
    @property
    def stream(self):
        """
        The 'stream' property is an instance of Stream
        that may be specified as:
          - An instance of plotly.graph_objs.streamtube.Stream
          - A dict of string/value properties that will be passed
            to the Stream constructor
    
            Supported dict properties:
                
                maxpoints
                    Sets the maximum number of points to keep on
                    the plots from an incoming stream. If
                    `maxpoints` is set to 50, only the newest 50
                    points will be displayed on the plot.
                token
                    The stream id number links a data trace on a
                    plot with a stream. See
                    https://plot.ly/settings for more details.

        Returns
        -------
        plotly.graph_objs.streamtube.Stream
        """
        return self['stream']

    @stream.setter
    def stream(self, val):
        self['stream'] = val

    # text
    # ----
    @property
    def text(self):
        """
        Sets a text element associated with this trace. If trace
        `hoverinfo` contains a "text" flag, this text element will be
        seen in all hover labels. Note that streamtube traces do not
        support array `text` values.
    
        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

    # u
    # -
    @property
    def u(self):
        """
        Sets the x components of the vector field.
    
        The 'u' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

        Returns
        -------
        numpy.ndarray
        """
        return self['u']

    @u.setter
    def u(self, val):
        self['u'] = 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

    # usrc
    # ----
    @property
    def usrc(self):
        """
        Sets the source reference on plot.ly for  u .
    
        The 'usrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self['usrc']

    @usrc.setter
    def usrc(self, val):
        self['usrc'] = val

    # v
    # -
    @property
    def v(self):
        """
        Sets the y components of the vector field.
    
        The 'v' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

        Returns
        -------
        numpy.ndarray
        """
        return self['v']

    @v.setter
    def v(self, val):
        self['v'] = 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

    # vsrc
    # ----
    @property
    def vsrc(self):
        """
        Sets the source reference on plot.ly for  v .
    
        The 'vsrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self['vsrc']

    @vsrc.setter
    def vsrc(self, val):
        self['vsrc'] = val

    # w
    # -
    @property
    def w(self):
        """
        Sets the z components of the vector field.
    
        The 'w' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

        Returns
        -------
        numpy.ndarray
        """
        return self['w']

    @w.setter
    def w(self, val):
        self['w'] = val

    # wsrc
    # ----
    @property
    def wsrc(self):
        """
        Sets the source reference on plot.ly for  w .
    
        The 'wsrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self['wsrc']

    @wsrc.setter
    def wsrc(self, val):
        self['wsrc'] = val

    # x
    # -
    @property
    def x(self):
        """
        Sets the x coordinates of the vector field.
    
        The 'x' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

        Returns
        -------
        numpy.ndarray
        """
        return self['x']

    @x.setter
    def x(self, val):
        self['x'] = val

    # xsrc
    # ----
    @property
    def xsrc(self):
        """
        Sets the source reference on plot.ly for  x .
    
        The 'xsrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self['xsrc']

    @xsrc.setter
    def xsrc(self, val):
        self['xsrc'] = val

    # y
    # -
    @property
    def y(self):
        """
        Sets the y coordinates of the vector field.
    
        The 'y' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

        Returns
        -------
        numpy.ndarray
        """
        return self['y']

    @y.setter
    def y(self, val):
        self['y'] = val

    # ysrc
    # ----
    @property
    def ysrc(self):
        """
        Sets the source reference on plot.ly for  y .
    
        The 'ysrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self['ysrc']

    @ysrc.setter
    def ysrc(self, val):
        self['ysrc'] = val

    # z
    # -
    @property
    def z(self):
        """
        Sets the z coordinates of the vector field.
    
        The 'z' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

        Returns
        -------
        numpy.ndarray
        """
        return self['z']

    @z.setter
    def z(self, val):
        self['z'] = val

    # zsrc
    # ----
    @property
    def zsrc(self):
        """
        Sets the source reference on plot.ly for  z .
    
        The 'zsrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self['zsrc']

    @zsrc.setter
    def zsrc(self, val):
        self['zsrc'] = val

    # type
    # ----
    @property
    def type(self):
        return self._props['type']

    # property parent name
    # --------------------
    @property
    def _parent_path_str(self):
        return ''

    # Self properties description
    # ---------------------------
    @property
    def _prop_descriptions(self):
        return """\
        autocolorscale
            Determines whether the colorscale is a default palette
            (`autocolorscale: true`) or the palette determined by
            `colorscale`. 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 u/v/w norm) or the
            bounds set in `cmin` and `cmax`  Defaults to `false`
            when `cmin` and `cmax` are set by the user.
        cmax
            Sets the upper bound of the color domain. Value should
            have the same units as u/v/w norm and if set, `cmin`
            must be set as well.
        cmid
            Sets the mid-point of the color domain by scaling
            `cmin` and/or `cmax` to be equidistant to this point.
            Value should have the same units as u/v/w norm. Has no
            effect when `cauto` is `false`.
        cmin
            Sets the lower bound of the color domain. Value should
            have the same units as u/v/w norm and if set, `cmax`
            must be set as well.
        colorbar
            plotly.graph_objs.streamtube.ColorBar instance or dict
            with compatible properties
        colorscale
            Sets the colorscale. 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`cmin` and `cmax`.
            Alternatively, `colorscale` may be a palette name
            string of the following list: Greys,YlGnBu,Greens,YlOrR
            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
            ot,Blackbody,Earth,Electric,Viridis,Cividis.
        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 plot.ly for  customdata .
        hoverinfo
            Determines which trace information appear on hover. If
            `none` or `skip` are set, no information is displayed
            upon hovering. But, if `none` is set, click and hover
            events are still fired.
        hoverinfosrc
            Sets the source reference on plot.ly for  hoverinfo .
        hoverlabel
            plotly.graph_objs.streamtube.Hoverlabel instance or
            dict with compatible properties
        hovertemplate
            Template string used for rendering the information that
            appear on hover box. Note that this will override
            `hoverinfo`. Variables are inserted using %{variable},
            for example "y: %{y}". Numbers are formatted using
            d3-format's syntax %{variable:d3-format}, for example
            "Price: %{y:$.2f}". See https://github.com/d3/d3-format
            /blob/master/README.md#locale_format for details on the
            formatting syntax. The variables available in
            `hovertemplate` are the ones emitted as event data
            described at this link
            https://plot.ly/javascript/plotlyjs-events/#event-data.
            Additionally, every attributes that can be specified
            per-point (the ones that are `arrayOk: true`) are
            available. variables `tubex`, `tubey`, `tubez`,
            `tubeu`, `tubev`, `tubew`, `norm` and `divergence`.
            Anything contained in tag `<extra>` is displayed in the
            secondary box, for example
            "<extra>{fullData.name}</extra>".
        hovertemplatesrc
            Sets the source reference on plot.ly for  hovertemplate
            .
        hovertext
            Same as `text`.
        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 plot.ly for  ids .
        legendgroup
            Sets the legend group for this trace. Traces part of
            the same legend group hide/show at the same time when
            toggling legend items.
        lighting
            plotly.graph_objs.streamtube.Lighting instance or dict
            with compatible properties
        lightposition
            plotly.graph_objs.streamtube.Lightposition instance or
            dict with compatible properties
        maxdisplayed
            The maximum number of displayed segments in a
            streamtube.
        name
            Sets the trace name. The trace name appear as the
            legend item and on hover.
        opacity
            Sets the opacity of the surface. Please note that in
            the case of using high `opacity` values for example a
            value greater than or equal to 0.5 on two surfaces (and
            0.25 with four surfaces), an overlay of multiple
            transparent surfaces may not perfectly be sorted in
            depth by the webgl API. This behavior may be improved
            in the near future and is subject to change.
        reversescale
            Reverses the color mapping if true. If true, `cmin`
            will correspond to the last color in the array and
            `cmax` will correspond to the first color.
        scene
            Sets a reference between this trace's 3D coordinate
            system and a 3D scene. If "scene" (the default value),
            the (x,y,z) coordinates refer to `layout.scene`. If
            "scene2", the (x,y,z) coordinates refer to
            `layout.scene2`, and so on.
        selectedpoints
            Array containing integer indices of selected points.
            Has an effect only for traces that support selections.
            Note that an empty array means an empty selection where
            the `unselected` are turned on for all points, whereas,
            any other non-array values means no selection all where
            the `selected` and `unselected` styles have no effect.
        showlegend
            Determines whether or not an item corresponding to this
            trace is shown in the legend.
        showscale
            Determines whether or not a colorbar is displayed for
            this trace.
        sizeref
            The scaling factor for the streamtubes. The default is
            1, which avoids two max divergence tubes from touching
            at adjacent starting positions.
        starts
            plotly.graph_objs.streamtube.Starts instance or dict
            with compatible properties
        stream
            plotly.graph_objs.streamtube.Stream instance or dict
            with compatible properties
        text
            Sets a text element associated with this trace. If
            trace `hoverinfo` contains a "text" flag, this text
            element will be seen in all hover labels. Note that
            streamtube traces do not support array `text` values.
        u
            Sets the x components of the vector field.
        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.
        usrc
            Sets the source reference on plot.ly for  u .
        v
            Sets the y components of the vector field.
        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).
        vsrc
            Sets the source reference on plot.ly for  v .
        w
            Sets the z components of the vector field.
        wsrc
            Sets the source reference on plot.ly for  w .
        x
            Sets the x coordinates of the vector field.
        xsrc
            Sets the source reference on plot.ly for  x .
        y
            Sets the y coordinates of the vector field.
        ysrc
            Sets the source reference on plot.ly for  y .
        z
            Sets the z coordinates of the vector field.
        zsrc
            Sets the source reference on plot.ly for  z .
        """

    def __init__(
        self,
        arg=None,
        autocolorscale=None,
        cauto=None,
        cmax=None,
        cmid=None,
        cmin=None,
        colorbar=None,
        colorscale=None,
        customdata=None,
        customdatasrc=None,
        hoverinfo=None,
        hoverinfosrc=None,
        hoverlabel=None,
        hovertemplate=None,
        hovertemplatesrc=None,
        hovertext=None,
        ids=None,
        idssrc=None,
        legendgroup=None,
        lighting=None,
        lightposition=None,
        maxdisplayed=None,
        name=None,
        opacity=None,
        reversescale=None,
        scene=None,
        selectedpoints=None,
        showlegend=None,
        showscale=None,
        sizeref=None,
        starts=None,
        stream=None,
        text=None,
        u=None,
        uid=None,
        uirevision=None,
        usrc=None,
        v=None,
        visible=None,
        vsrc=None,
        w=None,
        wsrc=None,
        x=None,
        xsrc=None,
        y=None,
        ysrc=None,
        z=None,
        zsrc=None,
        **kwargs
    ):
        """
        Construct a new Streamtube object
        
        Use a streamtube trace to visualize flow in a vector field.
        Specify a vector field using 6 1D arrays of equal length, 3
        position arrays `x`, `y` and `z` and 3 vector component arrays
        `u`, `v`, and `w`.  By default, the tubes' starting positions
        will be cut from the vector field's x-z plane at its minimum y
        value. To specify your own starting position, use attributes
        `starts.x`, `starts.y` and `starts.z`.

        Parameters
        ----------
        arg
            dict of properties compatible with this constructor or
            an instance of plotly.graph_objs.Streamtube
        autocolorscale
            Determines whether the colorscale is a default palette
            (`autocolorscale: true`) or the palette determined by
            `colorscale`. 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 u/v/w norm) or the
            bounds set in `cmin` and `cmax`  Defaults to `false`
            when `cmin` and `cmax` are set by the user.
        cmax
            Sets the upper bound of the color domain. Value should
            have the same units as u/v/w norm and if set, `cmin`
            must be set as well.
        cmid
            Sets the mid-point of the color domain by scaling
            `cmin` and/or `cmax` to be equidistant to this point.
            Value should have the same units as u/v/w norm. Has no
            effect when `cauto` is `false`.
        cmin
            Sets the lower bound of the color domain. Value should
            have the same units as u/v/w norm and if set, `cmax`
            must be set as well.
        colorbar
            plotly.graph_objs.streamtube.ColorBar instance or dict
            with compatible properties
        colorscale
            Sets the colorscale. 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`cmin` and `cmax`.
            Alternatively, `colorscale` may be a palette name
            string of the following list: Greys,YlGnBu,Greens,YlOrR
            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
            ot,Blackbody,Earth,Electric,Viridis,Cividis.
        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 plot.ly for  customdata .
        hoverinfo
            Determines which trace information appear on hover. If
            `none` or `skip` are set, no information is displayed
            upon hovering. But, if `none` is set, click and hover
            events are still fired.
        hoverinfosrc
            Sets the source reference on plot.ly for  hoverinfo .
        hoverlabel
            plotly.graph_objs.streamtube.Hoverlabel instance or
            dict with compatible properties
        hovertemplate
            Template string used for rendering the information that
            appear on hover box. Note that this will override
            `hoverinfo`. Variables are inserted using %{variable},
            for example "y: %{y}". Numbers are formatted using
            d3-format's syntax %{variable:d3-format}, for example
            "Price: %{y:$.2f}". See https://github.com/d3/d3-format
            /blob/master/README.md#locale_format for details on the
            formatting syntax. The variables available in
            `hovertemplate` are the ones emitted as event data
            described at this link
            https://plot.ly/javascript/plotlyjs-events/#event-data.
            Additionally, every attributes that can be specified
            per-point (the ones that are `arrayOk: true`) are
            available. variables `tubex`, `tubey`, `tubez`,
            `tubeu`, `tubev`, `tubew`, `norm` and `divergence`.
            Anything contained in tag `<extra>` is displayed in the
            secondary box, for example
            "<extra>{fullData.name}</extra>".
        hovertemplatesrc
            Sets the source reference on plot.ly for  hovertemplate
            .
        hovertext
            Same as `text`.
        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 plot.ly for  ids .
        legendgroup
            Sets the legend group for this trace. Traces part of
            the same legend group hide/show at the same time when
            toggling legend items.
        lighting
            plotly.graph_objs.streamtube.Lighting instance or dict
            with compatible properties
        lightposition
            plotly.graph_objs.streamtube.Lightposition instance or
            dict with compatible properties
        maxdisplayed
            The maximum number of displayed segments in a
            streamtube.
        name
            Sets the trace name. The trace name appear as the
            legend item and on hover.
        opacity
            Sets the opacity of the surface. Please note that in
            the case of using high `opacity` values for example a
            value greater than or equal to 0.5 on two surfaces (and
            0.25 with four surfaces), an overlay of multiple
            transparent surfaces may not perfectly be sorted in
            depth by the webgl API. This behavior may be improved
            in the near future and is subject to change.
        reversescale
            Reverses the color mapping if true. If true, `cmin`
            will correspond to the last color in the array and
            `cmax` will correspond to the first color.
        scene
            Sets a reference between this trace's 3D coordinate
            system and a 3D scene. If "scene" (the default value),
            the (x,y,z) coordinates refer to `layout.scene`. If
            "scene2", the (x,y,z) coordinates refer to
            `layout.scene2`, and so on.
        selectedpoints
            Array containing integer indices of selected points.
            Has an effect only for traces that support selections.
            Note that an empty array means an empty selection where
            the `unselected` are turned on for all points, whereas,
            any other non-array values means no selection all where
            the `selected` and `unselected` styles have no effect.
        showlegend
            Determines whether or not an item corresponding to this
            trace is shown in the legend.
        showscale
            Determines whether or not a colorbar is displayed for
            this trace.
        sizeref
            The scaling factor for the streamtubes. The default is
            1, which avoids two max divergence tubes from touching
            at adjacent starting positions.
        starts
            plotly.graph_objs.streamtube.Starts instance or dict
            with compatible properties
        stream
            plotly.graph_objs.streamtube.Stream instance or dict
            with compatible properties
        text
            Sets a text element associated with this trace. If
            trace `hoverinfo` contains a "text" flag, this text
            element will be seen in all hover labels. Note that
            streamtube traces do not support array `text` values.
        u
            Sets the x components of the vector field.
        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.
        usrc
            Sets the source reference on plot.ly for  u .
        v
            Sets the y components of the vector field.
        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).
        vsrc
            Sets the source reference on plot.ly for  v .
        w
            Sets the z components of the vector field.
        wsrc
            Sets the source reference on plot.ly for  w .
        x
            Sets the x coordinates of the vector field.
        xsrc
            Sets the source reference on plot.ly for  x .
        y
            Sets the y coordinates of the vector field.
        ysrc
            Sets the source reference on plot.ly for  y .
        z
            Sets the z coordinates of the vector field.
        zsrc
            Sets the source reference on plot.ly for  z .

        Returns
        -------
        Streamtube
        """
        super(Streamtube, self).__init__('streamtube')

        # 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.Streamtube 
constructor must be a dict or 
an instance of plotly.graph_objs.Streamtube"""
            )

        # Handle skip_invalid
        # -------------------
        self._skip_invalid = kwargs.pop('skip_invalid', False)

        # Import validators
        # -----------------
        from plotly.validators import (streamtube as v_streamtube)

        # Initialize validators
        # ---------------------
        self._validators['autocolorscale'
                        ] = v_streamtube.AutocolorscaleValidator()
        self._validators['cauto'] = v_streamtube.CautoValidator()
        self._validators['cmax'] = v_streamtube.CmaxValidator()
        self._validators['cmid'] = v_streamtube.CmidValidator()
        self._validators['cmin'] = v_streamtube.CminValidator()
        self._validators['colorbar'] = v_streamtube.ColorBarValidator()
        self._validators['colorscale'] = v_streamtube.ColorscaleValidator()
        self._validators['customdata'] = v_streamtube.CustomdataValidator()
        self._validators['customdatasrc'
                        ] = v_streamtube.CustomdatasrcValidator()
        self._validators['hoverinfo'] = v_streamtube.HoverinfoValidator()
        self._validators['hoverinfosrc'] = v_streamtube.HoverinfosrcValidator()
        self._validators['hoverlabel'] = v_streamtube.HoverlabelValidator()
        self._validators['hovertemplate'
                        ] = v_streamtube.HovertemplateValidator()
        self._validators['hovertemplatesrc'
                        ] = v_streamtube.HovertemplatesrcValidator()
        self._validators['hovertext'] = v_streamtube.HovertextValidator()
        self._validators['ids'] = v_streamtube.IdsValidator()
        self._validators['idssrc'] = v_streamtube.IdssrcValidator()
        self._validators['legendgroup'] = v_streamtube.LegendgroupValidator()
        self._validators['lighting'] = v_streamtube.LightingValidator()
        self._validators['lightposition'
                        ] = v_streamtube.LightpositionValidator()
        self._validators['maxdisplayed'] = v_streamtube.MaxdisplayedValidator()
        self._validators['name'] = v_streamtube.NameValidator()
        self._validators['opacity'] = v_streamtube.OpacityValidator()
        self._validators['reversescale'] = v_streamtube.ReversescaleValidator()
        self._validators['scene'] = v_streamtube.SceneValidator()
        self._validators['selectedpoints'
                        ] = v_streamtube.SelectedpointsValidator()
        self._validators['showlegend'] = v_streamtube.ShowlegendValidator()
        self._validators['showscale'] = v_streamtube.ShowscaleValidator()
        self._validators['sizeref'] = v_streamtube.SizerefValidator()
        self._validators['starts'] = v_streamtube.StartsValidator()
        self._validators['stream'] = v_streamtube.StreamValidator()
        self._validators['text'] = v_streamtube.TextValidator()
        self._validators['u'] = v_streamtube.UValidator()
        self._validators['uid'] = v_streamtube.UidValidator()
        self._validators['uirevision'] = v_streamtube.UirevisionValidator()
        self._validators['usrc'] = v_streamtube.UsrcValidator()
        self._validators['v'] = v_streamtube.VValidator()
        self._validators['visible'] = v_streamtube.VisibleValidator()
        self._validators['vsrc'] = v_streamtube.VsrcValidator()
        self._validators['w'] = v_streamtube.WValidator()
        self._validators['wsrc'] = v_streamtube.WsrcValidator()
        self._validators['x'] = v_streamtube.XValidator()
        self._validators['xsrc'] = v_streamtube.XsrcValidator()
        self._validators['y'] = v_streamtube.YValidator()
        self._validators['ysrc'] = v_streamtube.YsrcValidator()
        self._validators['z'] = v_streamtube.ZValidator()
        self._validators['zsrc'] = v_streamtube.ZsrcValidator()

        # Populate data dict with properties
        # ----------------------------------
        _v = arg.pop('autocolorscale', None)
        self['autocolorscale'
            ] = autocolorscale if autocolorscale is not None else _v
        _v = arg.pop('cauto', None)
        self['cauto'] = cauto if cauto is not None else _v
        _v = arg.pop('cmax', None)
        self['cmax'] = cmax if cmax is not None else _v
        _v = arg.pop('cmid', None)
        self['cmid'] = cmid if cmid is not None else _v
        _v = arg.pop('cmin', None)
        self['cmin'] = cmin if cmin is not None else _v
        _v = arg.pop('colorbar', None)
        self['colorbar'] = colorbar if colorbar is not None else _v
        _v = arg.pop('colorscale', None)
        self['colorscale'] = colorscale if colorscale is not None else _v
        _v = arg.pop('customdata', None)
        self['customdata'] = customdata if customdata is not None else _v
        _v = arg.pop('customdatasrc', None)
        self['customdatasrc'
            ] = customdatasrc if customdatasrc is not None else _v
        _v = arg.pop('hoverinfo', None)
        self['hoverinfo'] = hoverinfo if hoverinfo is not None else _v
        _v = arg.pop('hoverinfosrc', None)
        self['hoverinfosrc'] = hoverinfosrc if hoverinfosrc is not None else _v
        _v = arg.pop('hoverlabel', None)
        self['hoverlabel'] = hoverlabel if hoverlabel is not None else _v
        _v = arg.pop('hovertemplate', None)
        self['hovertemplate'
            ] = hovertemplate if hovertemplate is not None else _v
        _v = arg.pop('hovertemplatesrc', None)
        self['hovertemplatesrc'
            ] = hovertemplatesrc if hovertemplatesrc is not None else _v
        _v = arg.pop('hovertext', None)
        self['hovertext'] = hovertext if hovertext is not None else _v
        _v = arg.pop('ids', None)
        self['ids'] = ids if ids is not None else _v
        _v = arg.pop('idssrc', None)
        self['idssrc'] = idssrc if idssrc is not None else _v
        _v = arg.pop('legendgroup', None)
        self['legendgroup'] = legendgroup if legendgroup is not None else _v
        _v = arg.pop('lighting', None)
        self['lighting'] = lighting if lighting is not None else _v
        _v = arg.pop('lightposition', None)
        self['lightposition'
            ] = lightposition if lightposition is not None else _v
        _v = arg.pop('maxdisplayed', None)
        self['maxdisplayed'] = maxdisplayed if maxdisplayed is not None else _v
        _v = arg.pop('name', None)
        self['name'] = name if name is not None else _v
        _v = arg.pop('opacity', None)
        self['opacity'] = opacity if opacity is not None else _v
        _v = arg.pop('reversescale', None)
        self['reversescale'] = reversescale if reversescale is not None else _v
        _v = arg.pop('scene', None)
        self['scene'] = scene if scene is not None else _v
        _v = arg.pop('selectedpoints', None)
        self['selectedpoints'
            ] = selectedpoints if selectedpoints is not None else _v
        _v = arg.pop('showlegend', None)
        self['showlegend'] = showlegend if showlegend is not None else _v
        _v = arg.pop('showscale', None)
        self['showscale'] = showscale if showscale is not None else _v
        _v = arg.pop('sizeref', None)
        self['sizeref'] = sizeref if sizeref is not None else _v
        _v = arg.pop('starts', None)
        self['starts'] = starts if starts is not None else _v
        _v = arg.pop('stream', None)
        self['stream'] = stream if stream is not None else _v
        _v = arg.pop('text', None)
        self['text'] = text if text is not None else _v
        _v = arg.pop('u', None)
        self['u'] = u if u is not None else _v
        _v = arg.pop('uid', None)
        self['uid'] = uid if uid is not None else _v
        _v = arg.pop('uirevision', None)
        self['uirevision'] = uirevision if uirevision is not None else _v
        _v = arg.pop('usrc', None)
        self['usrc'] = usrc if usrc is not None else _v
        _v = arg.pop('v', None)
        self['v'] = v if v is not None else _v
        _v = arg.pop('visible', None)
        self['visible'] = visible if visible is not None else _v
        _v = arg.pop('vsrc', None)
        self['vsrc'] = vsrc if vsrc is not None else _v
        _v = arg.pop('w', None)
        self['w'] = w if w is not None else _v
        _v = arg.pop('wsrc', None)
        self['wsrc'] = wsrc if wsrc is not None else _v
        _v = arg.pop('x', None)
        self['x'] = x if x is not None else _v
        _v = arg.pop('xsrc', None)
        self['xsrc'] = xsrc if xsrc is not None else _v
        _v = arg.pop('y', None)
        self['y'] = y if y is not None else _v
        _v = arg.pop('ysrc', None)
        self['ysrc'] = ysrc if ysrc is not None else _v
        _v = arg.pop('z', None)
        self['z'] = z if z is not None else _v
        _v = arg.pop('zsrc', None)
        self['zsrc'] = zsrc if zsrc is not None else _v

        # Read-only literals
        # ------------------
        from _plotly_utils.basevalidators import LiteralValidator
        self._props['type'] = 'streamtube'
        self._validators['type'] = LiteralValidator(
            plotly_name='type', parent_name='streamtube', val='streamtube'
        )
        arg.pop('type', None)

        # Process unknown kwargs
        # ----------------------
        self._process_kwargs(**dict(arg, **kwargs))

        # Reset skip_invalid
        # ------------------
        self._skip_invalid = False