from plotly.basedatatypes import BaseTraceType import copy class Barpolar(BaseTraceType): # base # ---- @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 # basesrc # ------- @property def basesrc(self): """ Sets the source reference on plot.ly 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 # 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 # dr # -- @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 # dtheta # ------ @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 # 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 ['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 # 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.barpolar.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.barpolar.Hoverlabel """ return self['hoverlabel'] @hoverlabel.setter def hoverlabel(self, val): self['hoverlabel'] = 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 # marker # ------ @property def marker(self): """ The 'marker' property is an instance of Marker that may be specified as: - An instance of plotly.graph_objs.barpolar.Marker - A dict of string/value properties that will be passed to the Marker constructor Supported dict properties: autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `marker.colorscale`. Has an effect only if in `marker.color`is set to a numerical array. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed. cauto Determines whether or not the color domain is computed with respect to the input data (here in `marker.color`) or the bounds set in `marker.cmin` and `marker.cmax` Has an effect only if in `marker.color`is set to a numerical array. Defaults to `false` when `marker.cmin` and `marker.cmax` are set by the user. cmax Sets the upper bound of the color domain. Has an effect only if in `marker.color`is set to a numerical array. Value should have the same units as in `marker.color` and if set, `marker.cmin` must be set as well. cmin Sets the lower bound of the color domain. Has an effect only if in `marker.color`is set to a numerical array. Value should have the same units as in `marker.color` and if set, `marker.cmax` must be set as well. color Sets themarkercolor. It accepts either a specific color or an array of numbers that are mapped to the colorscale relative to the max and min values of the array or relative to `marker.cmin` and `marker.cmax` if set. colorbar plotly.graph_objs.barpolar.marker.ColorBar instance or dict with compatible properties colorscale Sets the colorscale. Has an effect only if in `marker.color`is set to a numerical array. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)', [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Greys,YlGnBu ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,R ainbow,Portland,Jet,Hot,Blackbody,Earth,Electri c,Viridis,Cividis. colorsrc Sets the source reference on plot.ly for color . line plotly.graph_objs.barpolar.marker.Line instance or dict with compatible properties opacity Sets the opacity of the bars. opacitysrc Sets the source reference on plot.ly for opacity . reversescale Reverses the color mapping if true. Has an effect only if in `marker.color`is set to a numerical array. If true, `marker.cmin` will correspond to the last color in the array and `marker.cmax` will correspond to the first color. showscale Determines whether or not a colorbar is displayed for this trace. Has an effect only if in `marker.color`is set to a numerical array. Returns ------- plotly.graph_objs.barpolar.Marker """ return self['marker'] @marker.setter def marker(self, val): self['marker'] = 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 # offset # ------ @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 # offsetsrc # --------- @property def offsetsrc(self): """ Sets the source reference on plot.ly 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 # opacity # ------- @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 # r # - @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 # r0 # -- @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 # rsrc # ---- @property def rsrc(self): """ Sets the source reference on plot.ly 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 # selected # -------- @property def selected(self): """ The 'selected' property is an instance of Selected that may be specified as: - An instance of plotly.graph_objs.barpolar.Selected - A dict of string/value properties that will be passed to the Selected constructor Supported dict properties: marker plotly.graph_objs.barpolar.selected.Marker instance or dict with compatible properties textfont plotly.graph_objs.barpolar.selected.Textfont instance or dict with compatible properties Returns ------- plotly.graph_objs.barpolar.Selected """ return self['selected'] @selected.setter def selected(self, val): self['selected'] = 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 # stream # ------ @property def stream(self): """ The 'stream' property is an instance of Stream that may be specified as: - An instance of plotly.graph_objs.barpolar.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.barpolar.Stream """ return self['stream'] @stream.setter def stream(self, val): self['stream'] = val # subplot # ------- @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 # text # ---- @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 # textsrc # ------- @property def textsrc(self): """ Sets the source reference on plot.ly 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 # theta # ----- @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 # theta0 # ------ @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 # thetasrc # -------- @property def thetasrc(self): """ Sets the source reference on plot.ly 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 # thetaunit # --------- @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 # uid # --- @property def uid(self): """ 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 # unselected # ---------- @property def unselected(self): """ The 'unselected' property is an instance of Unselected that may be specified as: - An instance of plotly.graph_objs.barpolar.Unselected - A dict of string/value properties that will be passed to the Unselected constructor Supported dict properties: marker plotly.graph_objs.barpolar.unselected.Marker instance or dict with compatible properties textfont plotly.graph_objs.barpolar.unselected.Textfont instance or dict with compatible properties Returns ------- plotly.graph_objs.barpolar.Unselected """ return self['unselected'] @unselected.setter def unselected(self, val): self['unselected'] = 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 # width # ----- @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 # widthsrc # -------- @property def widthsrc(self): """ Sets the source reference on plot.ly 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 # 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 """\ 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 plot.ly 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 plot.ly 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 plot.ly for hoverinfo . hoverlabel plotly.graph_objs.barpolar.Hoverlabel instance or dict with compatible properties ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on 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. marker plotly.graph_objs.barpolar.Marker instance or dict with compatible properties name Sets the trace name. The trace name appear 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 plot.ly 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 plot.ly for r . selected plotly.graph_objs.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 plotly.graph_objs.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 plot.ly 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 plot.ly for theta . thetaunit Sets the unit of input "theta" values. Has an effect only when on "linear" angular axes. uid unselected plotly.graph_objs.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 plot.ly 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, ids=None, idssrc=None, legendgroup=None, marker=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, 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 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 plot.ly 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 plot.ly 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 plot.ly for hoverinfo . hoverlabel plotly.graph_objs.barpolar.Hoverlabel instance or dict with compatible properties ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on 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. marker plotly.graph_objs.barpolar.Marker instance or dict with compatible properties name Sets the trace name. The trace name appear 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 plot.ly 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 plot.ly for r . selected plotly.graph_objs.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 plotly.graph_objs.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 plot.ly 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 plot.ly for theta . thetaunit Sets the unit of input "theta" values. Has an effect only when on "linear" angular axes. uid unselected plotly.graph_objs.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 plot.ly for width . Returns ------- Barpolar """ super(Barpolar, self).__init__('barpolar') # 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.Barpolar constructor must be a dict or an instance of plotly.graph_objs.Barpolar""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop('skip_invalid', False) # Import validators # ----------------- from plotly.validators import (barpolar as v_barpolar) # Initialize validators # --------------------- self._validators['base'] = v_barpolar.BaseValidator() self._validators['basesrc'] = v_barpolar.BasesrcValidator() self._validators['customdata'] = v_barpolar.CustomdataValidator() self._validators['customdatasrc'] = v_barpolar.CustomdatasrcValidator() self._validators['dr'] = v_barpolar.DrValidator() self._validators['dtheta'] = v_barpolar.DthetaValidator() self._validators['hoverinfo'] = v_barpolar.HoverinfoValidator() self._validators['hoverinfosrc'] = v_barpolar.HoverinfosrcValidator() self._validators['hoverlabel'] = v_barpolar.HoverlabelValidator() self._validators['ids'] = v_barpolar.IdsValidator() self._validators['idssrc'] = v_barpolar.IdssrcValidator() self._validators['legendgroup'] = v_barpolar.LegendgroupValidator() self._validators['marker'] = v_barpolar.MarkerValidator() self._validators['name'] = v_barpolar.NameValidator() self._validators['offset'] = v_barpolar.OffsetValidator() self._validators['offsetsrc'] = v_barpolar.OffsetsrcValidator() self._validators['opacity'] = v_barpolar.OpacityValidator() self._validators['r'] = v_barpolar.RValidator() self._validators['r0'] = v_barpolar.R0Validator() self._validators['rsrc'] = v_barpolar.RsrcValidator() self._validators['selected'] = v_barpolar.SelectedValidator() self._validators['selectedpoints' ] = v_barpolar.SelectedpointsValidator() self._validators['showlegend'] = v_barpolar.ShowlegendValidator() self._validators['stream'] = v_barpolar.StreamValidator() self._validators['subplot'] = v_barpolar.SubplotValidator() self._validators['text'] = v_barpolar.TextValidator() self._validators['textsrc'] = v_barpolar.TextsrcValidator() self._validators['theta'] = v_barpolar.ThetaValidator() self._validators['theta0'] = v_barpolar.Theta0Validator() self._validators['thetasrc'] = v_barpolar.ThetasrcValidator() self._validators['thetaunit'] = v_barpolar.ThetaunitValidator() self._validators['uid'] = v_barpolar.UidValidator() self._validators['unselected'] = v_barpolar.UnselectedValidator() self._validators['visible'] = v_barpolar.VisibleValidator() self._validators['width'] = v_barpolar.WidthValidator() self._validators['widthsrc'] = v_barpolar.WidthsrcValidator() # Populate data dict with properties # ---------------------------------- _v = arg.pop('base', None) self['base'] = base if base is not None else _v _v = arg.pop('basesrc', None) self['basesrc'] = basesrc if basesrc 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('dr', None) self['dr'] = dr if dr is not None else _v _v = arg.pop('dtheta', None) self['dtheta'] = dtheta if dtheta 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('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('marker', None) self['marker'] = marker if marker is not None else _v _v = arg.pop('name', None) self['name'] = name if name is not None else _v _v = arg.pop('offset', None) self['offset'] = offset if offset is not None else _v _v = arg.pop('offsetsrc', None) self['offsetsrc'] = offsetsrc if offsetsrc is not None else _v _v = arg.pop('opacity', None) self['opacity'] = opacity if opacity is not None else _v _v = arg.pop('r', None) self['r'] = r if r is not None else _v _v = arg.pop('r0', None) self['r0'] = r0 if r0 is not None else _v _v = arg.pop('rsrc', None) self['rsrc'] = rsrc if rsrc is not None else _v _v = arg.pop('selected', None) self['selected'] = selected if selected 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('stream', None) self['stream'] = stream if stream is not None else _v _v = arg.pop('subplot', None) self['subplot'] = subplot if subplot is not None else _v _v = arg.pop('text', None) self['text'] = text if text is not None else _v _v = arg.pop('textsrc', None) self['textsrc'] = textsrc if textsrc is not None else _v _v = arg.pop('theta', None) self['theta'] = theta if theta is not None else _v _v = arg.pop('theta0', None) self['theta0'] = theta0 if theta0 is not None else _v _v = arg.pop('thetasrc', None) self['thetasrc'] = thetasrc if thetasrc is not None else _v _v = arg.pop('thetaunit', None) self['thetaunit'] = thetaunit if thetaunit is not None else _v _v = arg.pop('uid', None) self['uid'] = uid if uid is not None else _v _v = arg.pop('unselected', None) self['unselected'] = unselected if unselected is not None else _v _v = arg.pop('visible', None) self['visible'] = visible if visible is not None else _v _v = arg.pop('width', None) self['width'] = width if width is not None else _v _v = arg.pop('widthsrc', None) self['widthsrc'] = widthsrc if widthsrc is not None else _v # Read-only literals # ------------------ from _plotly_utils.basevalidators import LiteralValidator self._props['type'] = 'barpolar' self._validators['type'] = LiteralValidator( plotly_name='type', parent_name='barpolar', val='barpolar' ) arg.pop('type', None) # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False