B >c@s|ddlZGdddejjZddlZGdddejjZddlZGdddejjZddlZGdd d ejj Z ddlZGd d d ejj Z ddlZGd d d ejjZ ddlZGdddejjZddlZGdddejjZddlZGdddejj ZddlZGdddejj ZddlZGdddejjZddlZGdddejjZddlZGdddejjZddlZGdddejjZddlZGdddejjZddlZGd d!d!ejjZddlZGd"d#d#ejjZddlZGd$d%d%ejjZddlZGd&d'd'ejjZddlZGd(d)d)ejjZddlZGd*d+d+ejjZddlZGd,d-d-ejj Z!ddlZGd.d/d/ejjZ"ddlZGd0d1d1ejj#Z$ddlZGd2d3d3ejj#Z%ddlZGd4d5d5ejjZ&ddlZGd6d7d7ejjZ'ddlZGd8d9d9ejjZ(ddlZGd:d;d;ejjZ)ddlZGdd?d?ejjZ+ddlZGd@dAdAejj Z,ddlZGdBdCdCejjZ-ddlZGdDdEdEejjZ.ddlZGdFdGdGejjZ/ddlZGdHdIdIejjZ0ddlZGdJdKdKejjZ1ddlZGdLdMdMejjZ2ddlZGdNdOdOejj3Z4ddlZGdPdQdQejjZ5ddlZGdRdSdSejjZ6ddlZGdTdUdUejjZ7ddlZGdVdWdWejjZ8ddlZGdXdYdYejjZ9ddlZGdZd[d[ejj Z:ddlZGd\d]d]ejjZ;ddlZGd^d_d_ejjZddlZGdddedeejjZ?dS)fNcseZdZdfdd ZZS) YsrcValidatorysrc histogramc s4tt|jf|||dd|ddd|dS)N edit_typenoneroleinfo) plotly_name parent_namerr)superr__init__pop)selfr r kwargs) __class__U/var/www/cleansys/lib/python3.7/site-packages/plotly/validators/histogram/__init__.pyr s   zYsrcValidator.__init__)rr)__name__ __module__ __qualname__r __classcell__rr)rrrsrcseZdZdfdd ZZS)YcalendarValidator ycalendarrc s^tt|jf|||dd|dd|ddddd d d d d ddddddddgd|dS)Nrcalcrrvalues gregorianchinesecoptic discworld ethiopianhebrewislamicjulianmayan nanakshahinepalipersianjalalitaiwanthai ummalqura)r r rrr)r rr r )rr r r)rrrr s0    zYcalendarValidator.__init__)rr)rrrr rrr)rrrsrcseZdZdfdd ZZS)YBinsValidatorybinsrc s4tt|jf|||dd|ddd|dS)Ndata_class_strZYBins data_docsa end Sets the end value for the y axis bins. The last bin may not end exactly at this value, we increment the bin edge by `size` from `start` until we reach or exceed `end`. Defaults to the maximum data value. Like `start`, for dates use a date string, and for category data `end` is based on the category serial numbers. size Sets the size of each y axis bin. Default behavior: If `nbinsy` is 0 or omitted, we choose a nice round bin size such that the number of bins is about the same as the typical number of samples in each bin. If `nbinsy` is provided, we choose a nice round bin size giving no more than that many bins. For date data, use milliseconds or "M" for months, as in `axis.dtick`. For category data, the number of categories to bin together (always defaults to 1). If multiple non-overlaying histograms share a subplot, the first explicit `size` is used and all others discarded. If no `size` is provided,the sample data from all traces is combined to determine `size` as described above. start Sets the starting value for the y axis bins. Defaults to the minimum data value, shifted down if necessary to make nice round values and to remove ambiguous bin edges. For example, if most of the data is integers we shift the bin edges 0.5 down, so a `size` of 5 would have a default `start` of -0.5, so it is clear that 0-4 are in the first bin, 5-9 in the second, but continuous data gets a start of 0 and bins [0,5), [5,10) etc. Dates behave similarly, and `start` should be a date string. For category data, `start` is based on the category serial numbers, and defaults to -0.5. If multiple non- overlaying histograms share a subplot, the first explicit `start` is used exactly and all others are shifted down (if necessary) to differ from that one by an integer number of bins. )r r r-r.)r r+r r )rr r r)rrrr 6s  .zYBinsValidator.__init__)r,r)rrrr rrr)rrr+5sr+cseZdZdfdd ZZS)YAxisValidatoryaxisrc s>tt|jf|||dd|dd|ddd|dS)Ndfltyrzcalc+clearAxisTypesrr)r r r1rr)r r/r r )rr r r)rrrr ts   zYAxisValidator.__init__)r0r)rrrr rrr)rrr/ssr/cseZdZdfdd ZZS) YValidatorr2rc s4tt|jf|||dd|ddd|dS)Nrzcalc+clearAxisTypesrdata)r r rr)r r3r r )rr r r)rrrr s   zYValidator.__init__)r2r)rrrr rrr)rrr3sr3cseZdZdfdd ZZS) XsrcValidatorxsrcrc s4tt|jf|||dd|ddd|dS)Nrrrr)r r rr)r r5r r )rr r r)rrrr s   zXsrcValidator.__init__)r6r)rrrr rrr)rrr5sr5cseZdZdfdd ZZS)XcalendarValidator xcalendarrc s^tt|jf|||dd|dd|ddddd d d d d ddddddddgd|dS)Nrrrrrrrrrrr r!r"r#r$r%r&r'r(r)r*)r r rrr)r r7r r )rr r r)rrrr s0    zXcalendarValidator.__init__)r8r)rrrr rrr)rrr7sr7cseZdZdfdd ZZS)XBinsValidatorxbinsrc s4tt|jf|||dd|ddd|dS)Nr-ZXBinsr.a end Sets the end value for the x axis bins. The last bin may not end exactly at this value, we increment the bin edge by `size` from `start` until we reach or exceed `end`. Defaults to the maximum data value. Like `start`, for dates use a date string, and for category data `end` is based on the category serial numbers. size Sets the size of each x axis bin. Default behavior: If `nbinsx` is 0 or omitted, we choose a nice round bin size such that the number of bins is about the same as the typical number of samples in each bin. If `nbinsx` is provided, we choose a nice round bin size giving no more than that many bins. For date data, use milliseconds or "M" for months, as in `axis.dtick`. For category data, the number of categories to bin together (always defaults to 1). If multiple non-overlaying histograms share a subplot, the first explicit `size` is used and all others discarded. If no `size` is provided,the sample data from all traces is combined to determine `size` as described above. start Sets the starting value for the x axis bins. Defaults to the minimum data value, shifted down if necessary to make nice round values and to remove ambiguous bin edges. For example, if most of the data is integers we shift the bin edges 0.5 down, so a `size` of 5 would have a default `start` of -0.5, so it is clear that 0-4 are in the first bin, 5-9 in the second, but continuous data gets a start of 0 and bins [0,5), [5,10) etc. Dates behave similarly, and `start` should be a date string. For category data, `start` is based on the category serial numbers, and defaults to -0.5. If multiple non- overlaying histograms share a subplot, the first explicit `start` is used exactly and all others are shifted down (if necessary) to differ from that one by an integer number of bins. )r r r-r.)r r9r r )rr r r)rrrr s  .zXBinsValidator.__init__)r:r)rrrr rrr)rrr9sr9cseZdZdfdd ZZS)XAxisValidatorxaxisrc s>tt|jf|||dd|dd|ddd|dS)Nr1xrzcalc+clearAxisTypesrr)r r r1rr)r r;r r )rr r r)rrrr s   zXAxisValidator.__init__)r<r)rrrr rrr)rrr;sr;cseZdZdfdd ZZS) XValidatorr=rc s4tt|jf|||dd|ddd|dS)Nrzcalc+clearAxisTypesrr4)r r rr)r r>r r )rr r r)rrrr s   zXValidator.__init__)r=r)rrrr rrr)rrr>sr>cseZdZdfdd ZZS)VisibleValidatorvisiblerc sDtt|jf|||dd|dd|ddddgd |dS) NrrrrrTFZ legendonly)r r rrr)r r?r r )rr r r)rrrr s   zVisibleValidator.__init__)r@r)rrrr rrr)rrr?sr?cseZdZdfdd ZZS)UnselectedValidator unselectedrc s4tt|jf|||dd|ddd|dS)Nr-Z Unselectedr.aY marker :class:`plotly.graph_objects.histogram.unselect ed.Marker` instance or dict with compatible properties textfont :class:`plotly.graph_objects.histogram.unselect ed.Textfont` instance or dict with compatible properties )r r r-r.)r rAr r )rr r r)rrrr ,s   zUnselectedValidator.__init__)rBr)rrrr rrr)rrrA+srAcseZdZdfdd ZZS)UirevisionValidator uirevisionrc s4tt|jf|||dd|ddd|dS)Nrrrr)r r rr)r rCr r )rr r r)rrrr Fs   zUirevisionValidator.__init__)rDr)rrrr rrr)rrrCEsrCcseZdZdfdd ZZS) UidValidatoruidrc s4tt|jf|||dd|ddd|dS)Nrplotrr)r r rr)r rEr r )rr r r)rrrr Ts   zUidValidator.__init__)rFr)rrrr rrr)rrrESsrEcseZdZdfdd ZZS)TextsrcValidatortextsrcrc s4tt|jf|||dd|ddd|dS)Nrrrr)r r rr)r rHr r )rr r r)rrrr bs   zTextsrcValidator.__init__)rIr)rrrr rrr)rrrHasrHcseZdZdfdd ZZS) TextValidatortextrc s>tt|jf|||dd|dd|ddd|dS)Narray_okTrrrr)r r rLrr)r rJr r )rr r r)rrrr ps   zTextValidator.__init__)rKr)rrrr rrr)rrrJosrJcseZdZdfdd ZZS)StreamValidatorstreamrc s4tt|jf|||dd|ddd|dS)Nr-ZStreamr.a 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. )r r r-r.)r rMr r )rr r r)rrrr s   zStreamValidator.__init__)rNr)rrrr rrr)rrrM~srMcseZdZdfdd ZZS)ShowlegendValidator showlegendrc s4tt|jf|||dd|ddd|dS)Nrstylerr)r r rr)r rOr r )rr r r)rrrr s   zShowlegendValidator.__init__)rPr)rrrr rrr)rrrOsrOcseZdZdfdd ZZS)SelectedpointsValidatorselectedpointsrc s4tt|jf|||dd|ddd|dS)Nrrrr)r r rr)r rRr r )rr r r)rrrr s   z SelectedpointsValidator.__init__)rSr)rrrr rrr)rrrRsrRcseZdZdfdd ZZS)SelectedValidatorselectedrc s4tt|jf|||dd|ddd|dS)Nr-ZSelectedr.aU marker :class:`plotly.graph_objects.histogram.selected .Marker` instance or dict with compatible properties textfont :class:`plotly.graph_objects.histogram.selected .Textfont` instance or dict with compatible properties )r r r-r.)r rTr r )rr r r)rrrr s   zSelectedValidator.__init__)rUr)rrrr rrr)rrrTsrTcseZdZdfdd ZZS)OrientationValidator orientationrc sBtt|jf|||dd|dd|dddgd|dS) Nrzcalc+clearAxisTypesrrrvh)r r rrr)r rVr r )rr r r)rrrr s   zOrientationValidator.__init__)rWr)rrrr rrr)rrrVsrVcseZdZdfdd ZZS)OpacityValidatoropacityrc sHtt|jf|||dd|dd|dd|ddd|dS) NrrQmaxminrr)r r rr\r^r)r rZr r )rr r r)rrrr s    zOpacityValidator.__init__)r[r)rrrr rrr)rrrZsrZcseZdZdfdd ZZS)OffsetgroupValidator offsetgrouprc s4tt|jf|||dd|ddd|dS)Nrrrr)r r rr)r r_r r )rr r r)rrrr s   zOffsetgroupValidator.__init__)r`r)rrrr rrr)rrr_sr_cseZdZdfdd ZZS)NbinsyValidatornbinsyrc s>tt|jf|||dd|dd|ddd|dS)Nrrr^rrrQ)r r rr^r)r rar r )rr r r)rrrr s   zNbinsyValidator.__init__)rbr)rrrr rrr)rrrasracseZdZdfdd ZZS)NbinsxValidatornbinsxrc s>tt|jf|||dd|dd|ddd|dS)Nrrr^rrrQ)r r rr^r)r rcr r )rr r r)rrrr s   zNbinsxValidator.__init__)rdr)rrrr rrr)rrrc srccseZdZdfdd ZZS) NameValidatornamerc s4tt|jf|||dd|ddd|dS)NrrQrr)r r rr)r rer r )rr r r)rrrr s   zNameValidator.__init__)rfr)rrrr rrr)rrresrecseZdZdfdd ZZS)MetasrcValidatormetasrcrc s4tt|jf|||dd|ddd|dS)Nrrrr)r r rr)r rgr r )rr r r)rrrr )s   zMetasrcValidator.__init__)rhr)rrrr rrr)rrrg(srgcseZdZdfdd ZZS) MetaValidatormetarc s>tt|jf|||dd|dd|ddd|dS)NrLTrrGrr)r r rLrr)r rir r )rr r r)rrrr 7s   zMetaValidator.__init__)rjr)rrrr rrr)rrri6sricseZdZdfdd ZZS)MarkerValidatormarkerrc s4tt|jf|||dd|ddd|dS)Nr-Markerr.a 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. cmid Sets the mid-point of the color domain by scaling `marker.cmin` and/or `marker.cmax` to be equidistant to this point. Has an effect only if in `marker.color`is set to a numerical array. Value should have the same units as in `marker.color`. Has no effect when `marker.cauto` is `false`. 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. coloraxis Sets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis. colorbar :class:`plotly.graph_objects.histogram.marker.C olorBar` 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,Bl ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E arth,Electric,Viridis,Cividis. colorsrc Sets the source reference on plot.ly for color . line :class:`plotly.graph_objects.histogram.marker.L ine` 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. )r r r-r.)r rkr r )rr r r)rrrr Fs  bzMarkerValidator.__init__)rlr)rrrr rrr)rrrkEsrkcseZdZdfdd ZZS)LegendgroupValidator legendgrouprc s4tt|jf|||dd|ddd|dS)NrrQrr)r r rr)r rnr r )rr r r)rrrr s   zLegendgroupValidator.__init__)ror)rrrr rrr)rrrnsrncseZdZdfdd ZZS)IdssrcValidatoridssrcrc s4tt|jf|||dd|ddd|dS)Nrrrr)r r rr)r rpr r )rr r r)rrrr s   zIdssrcValidator.__init__)rqr)rrrr rrr)rrrpsrpcseZdZdfdd ZZS) IdsValidatoridsrc s4tt|jf|||dd|ddd|dS)Nrrrr4)r r rr)r rrr r )rr r r)rrrr s   zIdsValidator.__init__)rsr)rrrr rrr)rrrrsrrcseZdZdfdd ZZS)HovertextsrcValidator hovertextsrcrc s4tt|jf|||dd|ddd|dS)Nrrrr)r r rr)r rtr r )rr r r)rrrr s   zHovertextsrcValidator.__init__)rur)rrrr rrr)rrrtsrtcseZdZdfdd ZZS)HovertextValidator hovertextrc s>tt|jf|||dd|dd|ddd|dS)NrLTrrQrr)r r rLrr)r rvr r )rr r r)rrrr s   zHovertextValidator.__init__)rwr)rrrr rrr)rrrvsrvcseZdZdfdd ZZS)HovertemplatesrcValidatorhovertemplatesrcrc s4tt|jf|||dd|ddd|dS)Nrrrr)r r rr)r rxr r )rr r r)rrrr s   z"HovertemplatesrcValidator.__init__)ryr)rrrr rrr)rrrxsrxcseZdZdfdd ZZS)HovertemplateValidator hovertemplaterc s>tt|jf|||dd|dd|ddd|dS)NrLTrrrr)r r rLrr)r rzr r )rr r r)rrrr s   zHovertemplateValidator.__init__)r{r)rrrr rrr)rrrzsrzcseZdZdfdd ZZS)HoverlabelValidator hoverlabelrc s4tt|jf|||dd|ddd|dS)Nr-Z Hoverlabelr.a align Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines alignsrc Sets the source reference on plot.ly for align . 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 default length (in number of characters) of the trace name in the hover labels for all traces. -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 . )r r r-r.)r r|r r )rr r r)rrrr s  %zHoverlabelValidator.__init__)r}r)rrrr rrr)rrr|sr|cseZdZdfdd ZZS)HoverinfosrcValidator hoverinfosrcrc s4tt|jf|||dd|ddd|dS)Nrrrr)r r rr)r r~r r )rr r r)rrrr Ss   zHoverinfosrcValidator.__init__)rr)rrrr rrr)rrr~Rsr~cseZdZdfdd ZZS)HoverinfoValidator hoverinforc sbtt|jf|||dd|dd|ddddg|dd d d d d g|ddd|dS)NrLTrrextrasallskipflagsr=r2zrKrfrr)r r rLrrrr)r rr r )rr r r)rrrr as   zHoverinfoValidator.__init__)rr)rrrr rrr)rrr`srcseZdZdfdd ZZS)HistnormValidatorhistnormrc sHtt|jf|||dd|dd|ddddd d gd |dS) NrrrrQrpercentZ probabilityZdensityzprobability density)r r rrr)r rr r )rr r r)rrrr rs   zHistnormValidator.__init__)rr)rrrr rrr)rrrqsrcseZdZdfdd ZZS)HistfuncValidatorhistfuncrc sHtt|jf|||dd|dd|ddddd d gd |dS) NrrrrQrcountsumavgr^r\)r r rrr)r rr r )rr r r)rrrr s   zHistfuncValidator.__init__)rr)rrrr rrr)rrrsrcseZdZdfdd ZZS)ErrorYValidatorerror_yrc s4tt|jf|||dd|ddd|dS)Nr-ZErrorYr.a array Sets the data corresponding the length of each error bar. Values are plotted relative to the underlying data. arrayminus Sets the data corresponding the length of each error bar in the bottom (left) direction for vertical (horizontal) bars Values are plotted relative to the underlying data. arrayminussrc Sets the source reference on plot.ly for arrayminus . arraysrc Sets the source reference on plot.ly for array . color Sets the stoke color of the error bars. symmetric Determines whether or not the error bars have the same length in both direction (top/bottom for vertical bars, left/right for horizontal bars. thickness Sets the thickness (in px) of the error bars. traceref tracerefminus type Determines the rule used to generate the error bars. If *constant`, the bar lengths are of a constant value. Set this constant in `value`. If "percent", the bar lengths correspond to a percentage of underlying data. Set this percentage in `value`. If "sqrt", the bar lengths correspond to the sqaure of the underlying data. If "data", the bar lengths are set with data set `array`. value Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars. valueminus Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars in the bottom (left) direction for vertical (horizontal) bars visible Determines whether or not this set of error bars is visible. width Sets the width (in px) of the cross-bar at both ends of the error bars. )r r r-r.)r rr r )rr r r)rrrr s  9zErrorYValidator.__init__)rr)rrrr rrr)rrrsrcseZdZdfdd ZZS)ErrorXValidatorerror_xrc s4tt|jf|||dd|ddd|dS)Nr-ZErrorXr.a array Sets the data corresponding the length of each error bar. Values are plotted relative to the underlying data. arrayminus Sets the data corresponding the length of each error bar in the bottom (left) direction for vertical (horizontal) bars Values are plotted relative to the underlying data. arrayminussrc Sets the source reference on plot.ly for arrayminus . arraysrc Sets the source reference on plot.ly for array . color Sets the stoke color of the error bars. copy_ystyle symmetric Determines whether or not the error bars have the same length in both direction (top/bottom for vertical bars, left/right for horizontal bars. thickness Sets the thickness (in px) of the error bars. traceref tracerefminus type Determines the rule used to generate the error bars. If *constant`, the bar lengths are of a constant value. Set this constant in `value`. If "percent", the bar lengths correspond to a percentage of underlying data. Set this percentage in `value`. If "sqrt", the bar lengths correspond to the sqaure of the underlying data. If "data", the bar lengths are set with data set `array`. value Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars. valueminus Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars in the bottom (left) direction for vertical (horizontal) bars visible Determines whether or not this set of error bars is visible. width Sets the width (in px) of the cross-bar at both ends of the error bars. )r r r-r.)r rr r )rr r r)rrrr s  ;zErrorXValidator.__init__)rr)rrrr rrr)rrrsrcseZdZdfdd ZZS)CustomdatasrcValidator customdatasrcrc s4tt|jf|||dd|ddd|dS)Nrrrr)r r rr)r rr r )rr r r)rrrr 's   zCustomdatasrcValidator.__init__)rr)rrrr rrr)rrr&srcseZdZdfdd ZZS)CustomdataValidator customdatarc s4tt|jf|||dd|ddd|dS)Nrrrr4)r r rr)r rr r )rr r r)rrrr 5s   zCustomdataValidator.__init__)rr)rrrr rrr)rrr4srcseZdZdfdd ZZS)CumulativeValidator cumulativerc s4tt|jf|||dd|ddd|dS)Nr-Z Cumulativer.az currentbin Only applies if cumulative is enabled. Sets whether the current bin is included, excluded, or has half of its value included in the current cumulative value. "include" is the default for compatibility with various other tools, however it introduces a half-bin bias to the results. "exclude" makes the opposite half- bin bias, and "half" removes it. direction Only applies if cumulative is enabled. If "increasing" (default) we sum all prior bins, so the result increases from left to right. If "decreasing" we sum later bins so the result decreases from left to right. enabled If true, display the cumulative distribution by summing the binned values. Use the `direction` and `centralbin` attributes to tune the accumulation method. Note: in this mode, the "density" `histnorm` settings behave the same as their equivalents without "density": "" and "density" both rise to the number of data points, and "probability" and *probability density* both rise to the number of sample points. )r r r-r.)r rr r )rr r r)rrrr Cs  zCumulativeValidator.__init__)rr)rrrr rrr)rrrBsrcseZdZdfdd ZZS)BingroupValidatorbingrouprc s4tt|jf|||dd|ddd|dS)Nrrrr)r r rr)r rr r )rr r r)rrrr os   zBingroupValidator.__init__)rr)rrrr rrr)rrrnsrcseZdZdfdd ZZS)AutobinyValidatorautobinyrc s4tt|jf|||dd|ddd|dS)NrrrrQ)r r rr)r rr r )rr r r)rrrr }s   zAutobinyValidator.__init__)rr)rrrr rrr)rrr|srcseZdZdfdd ZZS)AutobinxValidatorautobinxrc s4tt|jf|||dd|ddd|dS)NrrrrQ)r r rr)r rr r )rr r r)rrrr s   zAutobinxValidator.__init__)rr)rrrr rrr)rrrsrcseZdZdfdd ZZS)AlignmentgroupValidatoralignmentgrouprc s4tt|jf|||dd|ddd|dS)Nrrrr)r r rr)r rr r )rr r r)rrrr s   z AlignmentgroupValidator.__init__)rr)rrrr rrr)rrrsr)@Z_plotly_utils.basevalidatorsZ _plotly_utilsZbasevalidatorsZ SrcValidatorrZEnumeratedValidatorrZCompoundValidatorr+ZSubplotidValidatorr/ZDataArrayValidatorr3r5r7r9r;r>r?rAZ AnyValidatorrCZStringValidatorrErHrJrMZBooleanValidatorrOrRrTrVZNumberValidatorrZr_ZIntegerValidatorrarcrergrirkrnrprrrtrvrxrzr|r~ZFlaglistValidatorrrrrrrrrrrrrrrrrs  ;    ;                 o       2  FH  )