#                   --- THIS FILE IS AUTO-GENERATED ---
# Modifications will be overwitten the next time code generation run.

from plotly.basedatatypes import BaseTraceType as _BaseTraceType
import copy as _copy


class Barpolar(_BaseTraceType):
    _parent_path_str = ""
    _path_str = "barpolar"
    _valid_props = {
        "base",
        "basesrc",
        "customdata",
        "customdatasrc",
        "dr",
        "dtheta",
        "hoverinfo",
        "hoverinfosrc",
        "hoverlabel",
        "hovertemplate",
        "hovertemplatefallback",
        "hovertemplatesrc",
        "hovertext",
        "hovertextsrc",
        "ids",
        "idssrc",
        "legend",
        "legendgroup",
        "legendgrouptitle",
        "legendrank",
        "legendwidth",
        "marker",
        "meta",
        "metasrc",
        "name",
        "offset",
        "offsetsrc",
        "opacity",
        "r",
        "r0",
        "rsrc",
        "selected",
        "selectedpoints",
        "showlegend",
        "stream",
        "subplot",
        "text",
        "textsrc",
        "theta",
        "theta0",
        "thetasrc",
        "thetaunit",
        "type",
        "uid",
        "uirevision",
        "unselected",
        "visible",
        "width",
        "widthsrc",
    }

    @property
    def base(self):
        """
        Sets where the bar base is drawn (in radial axis units). In
        "stack" barmode, traces that set "base" will be excluded and
        drawn in "overlay" mode instead.

        The 'base' property accepts values of any type

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

    @base.setter
    def base(self, val):
        self["base"] = val

    @property
    def basesrc(self):
        """
        Sets the source reference on Chart Studio Cloud for `base`.

        The 'basesrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self["basesrc"]

    @basesrc.setter
    def basesrc(self, val):
        self["basesrc"] = val

    @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

    @property
    def customdatasrc(self):
        """
        Sets the source reference on Chart Studio Cloud for
        `customdata`.

        The 'customdatasrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self["customdatasrc"]

    @customdatasrc.setter
    def customdatasrc(self, val):
        self["customdatasrc"] = val

    @property
    def dr(self):
        """
        Sets the r coordinate step.

        The 'dr' property is a number and may be specified as:
          - An int or float

        Returns
        -------
        int|float
        """
        return self["dr"]

    @dr.setter
    def dr(self, val):
        self["dr"] = val

    @property
    def dtheta(self):
        """
        Sets the theta coordinate step. By default, the `dtheta` step
        equals the subplot's period divided by the length of the `r`
        coordinates.

        The 'dtheta' property is a number and may be specified as:
          - An int or float

        Returns
        -------
        int|float
        """
        return self["dtheta"]

    @dtheta.setter
    def dtheta(self, val):
        self["dtheta"] = val

    @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 ['r', 'theta', 'text', 'name'] joined with '+' characters
            (e.g. 'r+theta')
            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

    @property
    def hoverinfosrc(self):
        """
        Sets the source reference on Chart Studio Cloud 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

    @property
    def hoverlabel(self):
        """
        The 'hoverlabel' property is an instance of Hoverlabel
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.barpolar.Hoverlabel`
          - A dict of string/value properties that will be passed
            to the Hoverlabel constructor

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

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

    @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}"
        as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When
        showing info for several points, "xother" will be added to
        those with different x positions from the first point. An
        underscore before or after "(x|y)other" will add a space on
        that side, only when this field is shown. Numbers are formatted
        using d3-format's syntax %{variable:d3-format}, for example
        "Price: %{y:$.2f}".
        https://github.com/d3/d3-format/tree/v1.4.5#d3-format for
        details on the formatting syntax. Dates are formatted using
        d3-time-format's syntax %{variable|d3-time-format}, for example
        "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-
        format/tree/v2.2.3#locale_format for details on the date
        formatting syntax. Variables that can't be found will be
        replaced with the specifier. For example, a template of "data:
        %{x}, %{y}" will result in a value of "data: 1, %{y}" if x is 1
        and y is missing. Variables with an undefined value will be
        replaced with the fallback value. The variables available in
        `hovertemplate` are the ones emitted as event data described at
        this link https://plotly.com/javascript/plotlyjs-events/#event-
        data. Additionally, all attributes that can be specified per-
        point (the ones that are `arrayOk: true`) are available.
        Anything contained in tag `<extra>` is displayed in the
        secondary box, for example `<extra>%{fullData.name}</extra>`.
        To hide the secondary box completely, use an empty tag
        `<extra></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

    @property
    def hovertemplatefallback(self):
        """
        Fallback string that's displayed when a variable referenced in
        a template is missing. If the boolean value 'false' is passed
        in, the specifier with the missing variable will be displayed.

        The 'hovertemplatefallback' property accepts values of any type

        Returns
        -------
        Any
        """
        return self["hovertemplatefallback"]

    @hovertemplatefallback.setter
    def hovertemplatefallback(self, val):
        self["hovertemplatefallback"] = val

    @property
    def hovertemplatesrc(self):
        """
        Sets the source reference on Chart Studio Cloud 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

    @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
          - A tuple, list, or one-dimensional numpy array of the above

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

    @hovertext.setter
    def hovertext(self, val):
        self["hovertext"] = val

    @property
    def hovertextsrc(self):
        """
        Sets the source reference on Chart Studio Cloud for
        `hovertext`.

        The 'hovertextsrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self["hovertextsrc"]

    @hovertextsrc.setter
    def hovertextsrc(self, val):
        self["hovertextsrc"] = val

    @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

    @property
    def idssrc(self):
        """
        Sets the source reference on Chart Studio Cloud for `ids`.

        The 'idssrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self["idssrc"]

    @idssrc.setter
    def idssrc(self, val):
        self["idssrc"] = val

    @property
    def legend(self):
        """
        Sets the reference to a legend to show this trace in.
        References to these legends are "legend", "legend2", "legend3",
        etc. Settings for these legends are set in the layout, under
        `layout.legend`, `layout.legend2`, etc.

        The 'legend' property is an identifier of a particular
        subplot, of type 'legend', that may be specified as the string 'legend'
        optionally followed by an integer >= 1
        (e.g. 'legend', 'legend1', 'legend2', 'legend3', etc.)

        Returns
        -------
        str
        """
        return self["legend"]

    @legend.setter
    def legend(self, val):
        self["legend"] = val

    @property
    def legendgroup(self):
        """
        Sets the legend group for this trace. Traces and shapes 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

    @property
    def legendgrouptitle(self):
        """
        The 'legendgrouptitle' property is an instance of Legendgrouptitle
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.barpolar.Legendgrouptitle`
          - A dict of string/value properties that will be passed
            to the Legendgrouptitle constructor

        Returns
        -------
        plotly.graph_objs.barpolar.Legendgrouptitle
        """
        return self["legendgrouptitle"]

    @legendgrouptitle.setter
    def legendgrouptitle(self, val):
        self["legendgrouptitle"] = val

    @property
    def legendrank(self):
        """
        Sets the legend rank for this trace. Items and groups with
        smaller ranks are presented on top/left side while with
        "reversed" `legend.traceorder` they are on bottom/right side.
        The default legendrank is 1000, so that you can use ranks less
        than 1000 to place certain items before all unranked items, and
        ranks greater than 1000 to go after all unranked items. When
        having unranked or equal rank items shapes would be displayed
        after traces i.e. according to their order in data and layout.

        The 'legendrank' property is a number and may be specified as:
          - An int or float

        Returns
        -------
        int|float
        """
        return self["legendrank"]

    @legendrank.setter
    def legendrank(self, val):
        self["legendrank"] = val

    @property
    def legendwidth(self):
        """
        Sets the width (in px or fraction) of the legend for this
        trace.

        The 'legendwidth' property is a number and may be specified as:
          - An int or float in the interval [0, inf]

        Returns
        -------
        int|float
        """
        return self["legendwidth"]

    @legendwidth.setter
    def legendwidth(self, val):
        self["legendwidth"] = val

    @property
    def marker(self):
        """
        The 'marker' property is an instance of Marker
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.barpolar.Marker`
          - A dict of string/value properties that will be passed
            to the Marker constructor

        Returns
        -------
        plotly.graph_objs.barpolar.Marker
        """
        return self["marker"]

    @marker.setter
    def marker(self, val):
        self["marker"] = val

    @property
    def meta(self):
        """
        Assigns extra meta information associated with this trace that
        can be used in various text attributes. Attributes such as
        trace `name`, graph, axis and colorbar `title.text`, annotation
        `text` `rangeselector`, `updatemenues` and `sliders` `label`
        text all support `meta`. To access the trace `meta` values in
        an attribute in the same trace, simply use `%{meta[i]}` where
        `i` is the index or key of the `meta` item in question. To
        access trace `meta` in layout attributes, use
        `%{data[n[.meta[i]}` where `i` is the index or key of the
        `meta` and `n` is the trace index.

        The 'meta' property accepts values of any type

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

    @meta.setter
    def meta(self, val):
        self["meta"] = val

    @property
    def metasrc(self):
        """
        Sets the source reference on Chart Studio Cloud for `meta`.

        The 'metasrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self["metasrc"]

    @metasrc.setter
    def metasrc(self, val):
        self["metasrc"] = val

    @property
    def name(self):
        """
        Sets the trace name. The trace name appears 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

    @property
    def offset(self):
        """
        Shifts the angular position where the bar is drawn (in
        "thetatunit" units).

        The 'offset' property is a number and may be specified as:
          - An int or float
          - A tuple, list, or one-dimensional numpy array of the above

        Returns
        -------
        int|float|numpy.ndarray
        """
        return self["offset"]

    @offset.setter
    def offset(self, val):
        self["offset"] = val

    @property
    def offsetsrc(self):
        """
        Sets the source reference on Chart Studio Cloud for `offset`.

        The 'offsetsrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self["offsetsrc"]

    @offsetsrc.setter
    def offsetsrc(self, val):
        self["offsetsrc"] = val

    @property
    def opacity(self):
        """
        Sets the opacity of the trace.

        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

    @property
    def r(self):
        """
        Sets the radial coordinates

        The 'r' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

        Returns
        -------
        numpy.ndarray
        """
        return self["r"]

    @r.setter
    def r(self, val):
        self["r"] = val

    @property
    def r0(self):
        """
        Alternate to `r`. Builds a linear space of r coordinates. Use
        with `dr` where `r0` is the starting coordinate and `dr` the
        step.

        The 'r0' property accepts values of any type

        Returns
        -------
        Any
        """
        return self["r0"]

    @r0.setter
    def r0(self, val):
        self["r0"] = val

    @property
    def rsrc(self):
        """
        Sets the source reference on Chart Studio Cloud for `r`.

        The 'rsrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self["rsrc"]

    @rsrc.setter
    def rsrc(self, val):
        self["rsrc"] = val

    @property
    def selected(self):
        """
        The 'selected' property is an instance of Selected
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.barpolar.Selected`
          - A dict of string/value properties that will be passed
            to the Selected constructor

        Returns
        -------
        plotly.graph_objs.barpolar.Selected
        """
        return self["selected"]

    @selected.setter
    def selected(self, val):
        self["selected"] = val

    @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

    @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

    @property
    def stream(self):
        """
        The 'stream' property is an instance of Stream
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.barpolar.Stream`
          - A dict of string/value properties that will be passed
            to the Stream constructor

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

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

    @property
    def subplot(self):
        """
        Sets a reference between this trace's data coordinates and a
        polar subplot. If "polar" (the default value), the data refer
        to `layout.polar`. If "polar2", the data refer to
        `layout.polar2`, and so on.

        The 'subplot' property is an identifier of a particular
        subplot, of type 'polar', that may be specified as the string 'polar'
        optionally followed by an integer >= 1
        (e.g. 'polar', 'polar1', 'polar2', 'polar3', etc.)

        Returns
        -------
        str
        """
        return self["subplot"]

    @subplot.setter
    def subplot(self, val):
        self["subplot"] = val

    @property
    def text(self):
        """
        Sets hover text elements associated with each bar. If a single
        string, the same string appears over all bars. If an array of
        string, the items are mapped in order to the this trace's
        coordinates.

        The 'text' 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["text"]

    @text.setter
    def text(self, val):
        self["text"] = val

    @property
    def textsrc(self):
        """
        Sets the source reference on Chart Studio Cloud for `text`.

        The 'textsrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self["textsrc"]

    @textsrc.setter
    def textsrc(self, val):
        self["textsrc"] = val

    @property
    def theta(self):
        """
        Sets the angular coordinates

        The 'theta' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

        Returns
        -------
        numpy.ndarray
        """
        return self["theta"]

    @theta.setter
    def theta(self, val):
        self["theta"] = val

    @property
    def theta0(self):
        """
        Alternate to `theta`. Builds a linear space of theta
        coordinates. Use with `dtheta` where `theta0` is the starting
        coordinate and `dtheta` the step.

        The 'theta0' property accepts values of any type

        Returns
        -------
        Any
        """
        return self["theta0"]

    @theta0.setter
    def theta0(self, val):
        self["theta0"] = val

    @property
    def thetasrc(self):
        """
        Sets the source reference on Chart Studio Cloud for `theta`.

        The 'thetasrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self["thetasrc"]

    @thetasrc.setter
    def thetasrc(self, val):
        self["thetasrc"] = val

    @property
    def thetaunit(self):
        """
        Sets the unit of input "theta" values. Has an effect only when
        on "linear" angular axes.

        The 'thetaunit' property is an enumeration that may be specified as:
          - One of the following enumeration values:
                ['radians', 'degrees', 'gradians']

        Returns
        -------
        Any
        """
        return self["thetaunit"]

    @thetaunit.setter
    def thetaunit(self, val):
        self["thetaunit"] = val

    @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

    @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

    @property
    def unselected(self):
        """
        The 'unselected' property is an instance of Unselected
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.barpolar.Unselected`
          - A dict of string/value properties that will be passed
            to the Unselected constructor

        Returns
        -------
        plotly.graph_objs.barpolar.Unselected
        """
        return self["unselected"]

    @unselected.setter
    def unselected(self, val):
        self["unselected"] = val

    @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

    @property
    def width(self):
        """
        Sets the bar angular width (in "thetaunit" units).

        The 'width' property is a number and may be specified as:
          - An int or float in the interval [0, inf]
          - A tuple, list, or one-dimensional numpy array of the above

        Returns
        -------
        int|float|numpy.ndarray
        """
        return self["width"]

    @width.setter
    def width(self, val):
        self["width"] = val

    @property
    def widthsrc(self):
        """
        Sets the source reference on Chart Studio Cloud for `width`.

        The 'widthsrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self["widthsrc"]

    @widthsrc.setter
    def widthsrc(self, val):
        self["widthsrc"] = val

    @property
    def type(self):
        return self._props["type"]

    @property
    def _prop_descriptions(self):
        return """\
        base
            Sets where the bar base is drawn (in radial axis
            units). In "stack" barmode, traces that set "base" will
            be excluded and drawn in "overlay" mode instead.
        basesrc
            Sets the source reference on Chart Studio Cloud for
            `base`.
        customdata
            Assigns extra data each datum. This may be useful when
            listening to hover, click and selection events. Note
            that, "scatter" traces also appends customdata items in
            the markers DOM elements
        customdatasrc
            Sets the source reference on Chart Studio Cloud for
            `customdata`.
        dr
            Sets the r coordinate step.
        dtheta
            Sets the theta coordinate step. By default, the
            `dtheta` step equals the subplot's period divided by
            the length of the `r` coordinates.
        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 Chart Studio Cloud for
            `hoverinfo`.
        hoverlabel
            :class:`plotly.graph_objects.barpolar.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}" as well as %{xother}, {%_xother},
            {%_xother_}, {%xother_}. When showing info for several
            points, "xother" will be added to those with different
            x positions from the first point. An underscore before
            or after "(x|y)other" will add a space on that side,
            only when this field is shown. Numbers are formatted
            using d3-format's syntax %{variable:d3-format}, for
            example "Price: %{y:$.2f}".
            https://github.com/d3/d3-format/tree/v1.4.5#d3-format
            for details on the formatting syntax. Dates are
            formatted using d3-time-format's syntax
            %{variable|d3-time-format}, for example "Day:
            %{2019-01-01|%A}". https://github.com/d3/d3-time-
            format/tree/v2.2.3#locale_format for details on the
            date formatting syntax. Variables that can't be found
            will be replaced with the specifier. For example, a
            template of "data: %{x}, %{y}" will result in a value
            of "data: 1, %{y}" if x is 1 and y is missing.
            Variables with an undefined value will be replaced with
            the fallback value. The variables available in
            `hovertemplate` are the ones emitted as event data
            described at this link
            https://plotly.com/javascript/plotlyjs-events/#event-
            data. Additionally, all attributes that can be
            specified per-point (the ones that are `arrayOk: true`)
            are available.  Anything contained in tag `<extra>` is
            displayed in the secondary box, for example
            `<extra>%{fullData.name}</extra>`. To hide the
            secondary box completely, use an empty tag
            `<extra></extra>`.
        hovertemplatefallback
            Fallback string that's displayed when a variable
            referenced in a template is missing. If the boolean
            value 'false' is passed in, the specifier with the
            missing variable will be displayed.
        hovertemplatesrc
            Sets the source reference on Chart Studio Cloud for
            `hovertemplate`.
        hovertext
            Same as `text`.
        hovertextsrc
            Sets the source reference on Chart Studio Cloud for
            `hovertext`.
        ids
            Assigns id labels to each datum. These ids for object
            constancy of data points during animation. Should be an
            array of strings, not numbers or any other type.
        idssrc
            Sets the source reference on Chart Studio Cloud for
            `ids`.
        legend
            Sets the reference to a legend to show this trace in.
            References to these legends are "legend", "legend2",
            "legend3", etc. Settings for these legends are set in
            the layout, under `layout.legend`, `layout.legend2`,
            etc.
        legendgroup
            Sets the legend group for this trace. Traces and shapes
            part of the same legend group hide/show at the same
            time when toggling legend items.
        legendgrouptitle
            :class:`plotly.graph_objects.barpolar.Legendgrouptitle`
            instance or dict with compatible properties
        legendrank
            Sets the legend rank for this trace. Items and groups
            with smaller ranks are presented on top/left side while
            with "reversed" `legend.traceorder` they are on
            bottom/right side. The default legendrank is 1000, so
            that you can use ranks less than 1000 to place certain
            items before all unranked items, and ranks greater than
            1000 to go after all unranked items. When having
            unranked or equal rank items shapes would be displayed
            after traces i.e. according to their order in data and
            layout.
        legendwidth
            Sets the width (in px or fraction) of the legend for
            this trace.
        marker
            :class:`plotly.graph_objects.barpolar.Marker` instance
            or dict with compatible properties
        meta
            Assigns extra meta information associated with this
            trace that can be used in various text attributes.
            Attributes such as trace `name`, graph, axis and
            colorbar `title.text`, annotation `text`
            `rangeselector`, `updatemenues` and `sliders` `label`
            text all support `meta`. To access the trace `meta`
            values in an attribute in the same trace, simply use
            `%{meta[i]}` where `i` is the index or key of the
            `meta` item in question. To access trace `meta` in
            layout attributes, use `%{data[n[.meta[i]}` where `i`
            is the index or key of the `meta` and `n` is the trace
            index.
        metasrc
            Sets the source reference on Chart Studio Cloud for
            `meta`.
        name
            Sets the trace name. The trace name appears as the
            legend item and on hover.
        offset
            Shifts the angular position where the bar is drawn (in
            "thetatunit" units).
        offsetsrc
            Sets the source reference on Chart Studio Cloud for
            `offset`.
        opacity
            Sets the opacity of the trace.
        r
            Sets the radial coordinates
        r0
            Alternate to `r`. Builds a linear space of r
            coordinates. Use with `dr` where `r0` is the starting
            coordinate and `dr` the step.
        rsrc
            Sets the source reference on Chart Studio Cloud for
            `r`.
        selected
            :class:`plotly.graph_objects.barpolar.Selected`
            instance or dict with compatible properties
        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.
        stream
            :class:`plotly.graph_objects.barpolar.Stream` instance
            or dict with compatible properties
        subplot
            Sets a reference between this trace's data coordinates
            and a polar subplot. If "polar" (the default value),
            the data refer to `layout.polar`. If "polar2", the data
            refer to `layout.polar2`, and so on.
        text
            Sets hover text elements associated with each bar. If a
            single string, the same string appears over all bars.
            If an array of string, the items are mapped in order to
            the this trace's coordinates.
        textsrc
            Sets the source reference on Chart Studio Cloud for
            `text`.
        theta
            Sets the angular coordinates
        theta0
            Alternate to `theta`. Builds a linear space of theta
            coordinates. Use with `dtheta` where `theta0` is the
            starting coordinate and `dtheta` the step.
        thetasrc
            Sets the source reference on Chart Studio Cloud for
            `theta`.
        thetaunit
            Sets the unit of input "theta" values. Has an effect
            only when on "linear" angular axes.
        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.
        unselected
            :class:`plotly.graph_objects.barpolar.Unselected`
            instance or dict with compatible properties
        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).
        width
            Sets the bar angular width (in "thetaunit" units).
        widthsrc
            Sets the source reference on Chart Studio Cloud for
            `width`.
        """

    def __init__(
        self,
        arg=None,
        base=None,
        basesrc=None,
        customdata=None,
        customdatasrc=None,
        dr=None,
        dtheta=None,
        hoverinfo=None,
        hoverinfosrc=None,
        hoverlabel=None,
        hovertemplate=None,
        hovertemplatefallback=None,
        hovertemplatesrc=None,
        hovertext=None,
        hovertextsrc=None,
        ids=None,
        idssrc=None,
        legend=None,
        legendgroup=None,
        legendgrouptitle=None,
        legendrank=None,
        legendwidth=None,
        marker=None,
        meta=None,
        metasrc=None,
        name=None,
        offset=None,
        offsetsrc=None,
        opacity=None,
        r=None,
        r0=None,
        rsrc=None,
        selected=None,
        selectedpoints=None,
        showlegend=None,
        stream=None,
        subplot=None,
        text=None,
        textsrc=None,
        theta=None,
        theta0=None,
        thetasrc=None,
        thetaunit=None,
        uid=None,
        uirevision=None,
        unselected=None,
        visible=None,
        width=None,
        widthsrc=None,
        **kwargs,
    ):
        """
        Construct a new Barpolar object

        The data visualized by the radial span of the bars is set in
        `r`

        Parameters
        ----------
        arg
            dict of properties compatible with this constructor or
            an instance of :class:`plotly.graph_objs.Barpolar`
        base
            Sets where the bar base is drawn (in radial axis
            units). In "stack" barmode, traces that set "base" will
            be excluded and drawn in "overlay" mode instead.
        basesrc
            Sets the source reference on Chart Studio Cloud for
            `base`.
        customdata
            Assigns extra data each datum. This may be useful when
            listening to hover, click and selection events. Note
            that, "scatter" traces also appends customdata items in
            the markers DOM elements
        customdatasrc
            Sets the source reference on Chart Studio Cloud for
            `customdata`.
        dr
            Sets the r coordinate step.
        dtheta
            Sets the theta coordinate step. By default, the
            `dtheta` step equals the subplot's period divided by
            the length of the `r` coordinates.
        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 Chart Studio Cloud for
            `hoverinfo`.
        hoverlabel
            :class:`plotly.graph_objects.barpolar.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}" as well as %{xother}, {%_xother},
            {%_xother_}, {%xother_}. When showing info for several
            points, "xother" will be added to those with different
            x positions from the first point. An underscore before
            or after "(x|y)other" will add a space on that side,
            only when this field is shown. Numbers are formatted
            using d3-format's syntax %{variable:d3-format}, for
            example "Price: %{y:$.2f}".
            https://github.com/d3/d3-format/tree/v1.4.5#d3-format
            for details on the formatting syntax. Dates are
            formatted using d3-time-format's syntax
            %{variable|d3-time-format}, for example "Day:
            %{2019-01-01|%A}". https://github.com/d3/d3-time-
            format/tree/v2.2.3#locale_format for details on the
            date formatting syntax. Variables that can't be found
            will be replaced with the specifier. For example, a
            template of "data: %{x}, %{y}" will result in a value
            of "data: 1, %{y}" if x is 1 and y is missing.
            Variables with an undefined value will be replaced with
            the fallback value. The variables available in
            `hovertemplate` are the ones emitted as event data
            described at this link
            https://plotly.com/javascript/plotlyjs-events/#event-
            data. Additionally, all attributes that can be
            specified per-point (the ones that are `arrayOk: true`)
            are available.  Anything contained in tag `<extra>` is
            displayed in the secondary box, for example
            `<extra>%{fullData.name}</extra>`. To hide the
            secondary box completely, use an empty tag
            `<extra></extra>`.
        hovertemplatefallback
            Fallback string that's displayed when a variable
            referenced in a template is missing. If the boolean
            value 'false' is passed in, the specifier with the
            missing variable will be displayed.
        hovertemplatesrc
            Sets the source reference on Chart Studio Cloud for
            `hovertemplate`.
        hovertext
            Same as `text`.
        hovertextsrc
            Sets the source reference on Chart Studio Cloud for
            `hovertext`.
        ids
            Assigns id labels to each datum. These ids for object
            constancy of data points during animation. Should be an
            array of strings, not numbers or any other type.
        idssrc
            Sets the source reference on Chart Studio Cloud for
            `ids`.
        legend
            Sets the reference to a legend to show this trace in.
            References to these legends are "legend", "legend2",
            "legend3", etc. Settings for these legends are set in
            the layout, under `layout.legend`, `layout.legend2`,
            etc.
        legendgroup
            Sets the legend group for this trace. Traces and shapes
            part of the same legend group hide/show at the same
            time when toggling legend items.
        legendgrouptitle
            :class:`plotly.graph_objects.barpolar.Legendgrouptitle`
            instance or dict with compatible properties
        legendrank
            Sets the legend rank for this trace. Items and groups
            with smaller ranks are presented on top/left side while
            with "reversed" `legend.traceorder` they are on
            bottom/right side. The default legendrank is 1000, so
            that you can use ranks less than 1000 to place certain
            items before all unranked items, and ranks greater than
            1000 to go after all unranked items. When having
            unranked or equal rank items shapes would be displayed
            after traces i.e. according to their order in data and
            layout.
        legendwidth
            Sets the width (in px or fraction) of the legend for
            this trace.
        marker
            :class:`plotly.graph_objects.barpolar.Marker` instance
            or dict with compatible properties
        meta
            Assigns extra meta information associated with this
            trace that can be used in various text attributes.
            Attributes such as trace `name`, graph, axis and
            colorbar `title.text`, annotation `text`
            `rangeselector`, `updatemenues` and `sliders` `label`
            text all support `meta`. To access the trace `meta`
            values in an attribute in the same trace, simply use
            `%{meta[i]}` where `i` is the index or key of the
            `meta` item in question. To access trace `meta` in
            layout attributes, use `%{data[n[.meta[i]}` where `i`
            is the index or key of the `meta` and `n` is the trace
            index.
        metasrc
            Sets the source reference on Chart Studio Cloud for
            `meta`.
        name
            Sets the trace name. The trace name appears as the
            legend item and on hover.
        offset
            Shifts the angular position where the bar is drawn (in
            "thetatunit" units).
        offsetsrc
            Sets the source reference on Chart Studio Cloud for
            `offset`.
        opacity
            Sets the opacity of the trace.
        r
            Sets the radial coordinates
        r0
            Alternate to `r`. Builds a linear space of r
            coordinates. Use with `dr` where `r0` is the starting
            coordinate and `dr` the step.
        rsrc
            Sets the source reference on Chart Studio Cloud for
            `r`.
        selected
            :class:`plotly.graph_objects.barpolar.Selected`
            instance or dict with compatible properties
        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.
        stream
            :class:`plotly.graph_objects.barpolar.Stream` instance
            or dict with compatible properties
        subplot
            Sets a reference between this trace's data coordinates
            and a polar subplot. If "polar" (the default value),
            the data refer to `layout.polar`. If "polar2", the data
            refer to `layout.polar2`, and so on.
        text
            Sets hover text elements associated with each bar. If a
            single string, the same string appears over all bars.
            If an array of string, the items are mapped in order to
            the this trace's coordinates.
        textsrc
            Sets the source reference on Chart Studio Cloud for
            `text`.
        theta
            Sets the angular coordinates
        theta0
            Alternate to `theta`. Builds a linear space of theta
            coordinates. Use with `dtheta` where `theta0` is the
            starting coordinate and `dtheta` the step.
        thetasrc
            Sets the source reference on Chart Studio Cloud for
            `theta`.
        thetaunit
            Sets the unit of input "theta" values. Has an effect
            only when on "linear" angular axes.
        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.
        unselected
            :class:`plotly.graph_objects.barpolar.Unselected`
            instance or dict with compatible properties
        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).
        width
            Sets the bar angular width (in "thetaunit" units).
        widthsrc
            Sets the source reference on Chart Studio Cloud for
            `width`.

        Returns
        -------
        Barpolar
        """
        super().__init__("barpolar")
        if "_parent" in kwargs:
            self._parent = kwargs["_parent"]
            return

        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.Barpolar
constructor must be a dict or
an instance of :class:`plotly.graph_objs.Barpolar`""")

        self._skip_invalid = kwargs.pop("skip_invalid", False)
        self._validate = kwargs.pop("_validate", True)

        self._set_property("base", arg, base)
        self._set_property("basesrc", arg, basesrc)
        self._set_property("customdata", arg, customdata)
        self._set_property("customdatasrc", arg, customdatasrc)
        self._set_property("dr", arg, dr)
        self._set_property("dtheta", arg, dtheta)
        self._set_property("hoverinfo", arg, hoverinfo)
        self._set_property("hoverinfosrc", arg, hoverinfosrc)
        self._set_property("hoverlabel", arg, hoverlabel)
        self._set_property("hovertemplate", arg, hovertemplate)
        self._set_property("hovertemplatefallback", arg, hovertemplatefallback)
        self._set_property("hovertemplatesrc", arg, hovertemplatesrc)
        self._set_property("hovertext", arg, hovertext)
        self._set_property("hovertextsrc", arg, hovertextsrc)
        self._set_property("ids", arg, ids)
        self._set_property("idssrc", arg, idssrc)
        self._set_property("legend", arg, legend)
        self._set_property("legendgroup", arg, legendgroup)
        self._set_property("legendgrouptitle", arg, legendgrouptitle)
        self._set_property("legendrank", arg, legendrank)
        self._set_property("legendwidth", arg, legendwidth)
        self._set_property("marker", arg, marker)
        self._set_property("meta", arg, meta)
        self._set_property("metasrc", arg, metasrc)
        self._set_property("name", arg, name)
        self._set_property("offset", arg, offset)
        self._set_property("offsetsrc", arg, offsetsrc)
        self._set_property("opacity", arg, opacity)
        self._set_property("r", arg, r)
        self._set_property("r0", arg, r0)
        self._set_property("rsrc", arg, rsrc)
        self._set_property("selected", arg, selected)
        self._set_property("selectedpoints", arg, selectedpoints)
        self._set_property("showlegend", arg, showlegend)
        self._set_property("stream", arg, stream)
        self._set_property("subplot", arg, subplot)
        self._set_property("text", arg, text)
        self._set_property("textsrc", arg, textsrc)
        self._set_property("theta", arg, theta)
        self._set_property("theta0", arg, theta0)
        self._set_property("thetasrc", arg, thetasrc)
        self._set_property("thetaunit", arg, thetaunit)
        self._set_property("uid", arg, uid)
        self._set_property("uirevision", arg, uirevision)
        self._set_property("unselected", arg, unselected)
        self._set_property("visible", arg, visible)
        self._set_property("width", arg, width)
        self._set_property("widthsrc", arg, widthsrc)

        self._props["type"] = "barpolar"
        arg.pop("type", None)
        self._process_kwargs(**dict(arg, **kwargs))
        self._skip_invalid = False
