@property
def _prop_descriptions(self):
    return '        autobinx\n            Obsolete: since v1.42 each bin attribute is auto-\n            determined separately and `autobinx` is not needed.\n            However, we accept `autobinx: true` or `false` and will\n            update `xbins` accordingly before deleting `autobinx`\n            from the trace.\n        autobiny\n            Obsolete: since v1.42 each bin attribute is auto-\n            determined separately and `autobiny` is not needed.\n            However, we accept `autobiny: true` or `false` and will\n            update `ybins` accordingly before deleting `autobiny`\n            from the trace.\n        autocolorscale\n            Determines whether the colorscale is a default palette\n            (`autocolorscale: true`) or the palette determined by\n            `colorscale`. In case `colorscale` is unspecified or\n            `autocolorscale` is true, the default palette will be\n            chosen according to whether numbers in the `color`\n            array are all positive, all negative or mixed.\n        autocontour\n            Determines whether or not the contour level attributes\n            are picked by an algorithm. If True, the number of\n            contour levels can be set in `ncontours`. If False, set\n            the contour level attributes in `contours`.\n        bingroup\n            Set the `xbingroup` and `ybingroup` default prefix For\n            example, setting a `bingroup` of 1 on two histogram2d\n            traces will make them their x-bins and y-bins match\n            separately.\n        coloraxis\n            Sets a reference to a shared color axis. References to\n            these shared color axes are "coloraxis", "coloraxis2",\n            "coloraxis3", etc. Settings for these shared color axes\n            are set in the layout, under `layout.coloraxis`,\n            `layout.coloraxis2`, etc. Note that multiple color\n            scales can be linked to the same color axis.\n        colorbar\n            :class:`plotly.graph_objects.histogram2dcontour.ColorBa\n            r` instance or dict with compatible properties\n        colorscale\n            Sets the colorscale. The colorscale must be an array\n            containing arrays mapping a normalized value to an rgb,\n            rgba, hex, hsl, hsv, or named color string. At minimum,\n            a mapping for the lowest (0) and highest (1) values are\n            required. For example, `[[0, \'rgb(0,0,255)\'], [1,\n            \'rgb(255,0,0)\']]`. To control the bounds of the\n            colorscale in color space, use `zmin` and `zmax`.\n            Alternatively, `colorscale` may be a palette name\n            string of the following list: Blackbody,Bluered,Blues,C\n            ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl\n            and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd.\n        contours\n            :class:`plotly.graph_objects.histogram2dcontour.Contour\n            s` instance or dict with compatible properties\n        customdata\n            Assigns extra data each datum. This may be useful when\n            listening to hover, click and selection events. Note\n            that, "scatter" traces also appends customdata items in\n            the markers DOM elements\n        customdatasrc\n            Sets the source reference on Chart Studio Cloud for\n            `customdata`.\n        histfunc\n            Specifies the binning function used for this histogram\n            trace. If "count", the histogram values are computed by\n            counting the number of values lying inside each bin. If\n            "sum", "avg", "min", "max", the histogram values are\n            computed using the sum, the average, the minimum or the\n            maximum of the values lying inside each bin\n            respectively.\n        histnorm\n            Specifies the type of normalization used for this\n            histogram trace. If "", the span of each bar\n            corresponds to the number of occurrences (i.e. the\n            number of data points lying inside the bins). If\n            "percent" / "probability", the span of each bar\n            corresponds to the percentage / fraction of occurrences\n            with respect to the total number of sample points\n            (here, the sum of all bin HEIGHTS equals 100% / 1). If\n            "density", the span of each bar corresponds to the\n            number of occurrences in a bin divided by the size of\n            the bin interval (here, the sum of all bin AREAS equals\n            the total number of sample points). If *probability\n            density*, the area of each bar corresponds to the\n            probability that an event will fall into the\n            corresponding bin (here, the sum of all bin AREAS\n            equals 1).\n        hoverinfo\n            Determines which trace information appear on hover. If\n            `none` or `skip` are set, no information is displayed\n            upon hovering. But, if `none` is set, click and hover\n            events are still fired.\n        hoverinfosrc\n            Sets the source reference on Chart Studio Cloud for\n            `hoverinfo`.\n        hoverlabel\n            :class:`plotly.graph_objects.histogram2dcontour.Hoverla\n            bel` instance or dict with compatible properties\n        hovertemplate\n            Template string used for rendering the information that\n            appear on hover box. Note that this will override\n            `hoverinfo`. Variables are inserted using %{variable},\n            for example "y: %{y}" as well as %{xother}, {%_xother},\n            {%_xother_}, {%xother_}. When showing info for several\n            points, "xother" will be added to those with different\n            x positions from the first point. An underscore before\n            or after "(x|y)other" will add a space on that side,\n            only when this field is shown. Numbers are formatted\n            using d3-format\'s syntax %{variable:d3-format}, for\n            example "Price: %{y:$.2f}".\n            https://github.com/d3/d3-format/tree/v1.4.5#d3-format\n            for details on the formatting syntax. Dates are\n            formatted using d3-time-format\'s syntax\n            %{variable|d3-time-format}, for example "Day:\n            %{2019-01-01|%A}". https://github.com/d3/d3-time-\n            format/tree/v2.2.3#locale_format for details on the\n            date formatting syntax. The variables available in\n            `hovertemplate` are the ones emitted as event data\n            described at this link\n            https://plotly.com/javascript/plotlyjs-events/#event-\n            data. Additionally, every attributes that can be\n            specified per-point (the ones that are `arrayOk: true`)\n            are available. variable `z` Anything contained in tag\n            `<extra>` is displayed in the secondary box, for\n            example "<extra>{fullData.name}</extra>". To hide the\n            secondary box completely, use an empty tag\n            `<extra></extra>`.\n        hovertemplatesrc\n            Sets the source reference on Chart Studio Cloud for\n            `hovertemplate`.\n        ids\n            Assigns id labels to each datum. These ids for object\n            constancy of data points during animation. Should be an\n            array of strings, not numbers or any other type.\n        idssrc\n            Sets the source reference on Chart Studio Cloud for\n            `ids`.\n        legendgroup\n            Sets the legend group for this trace. Traces part of\n            the same legend group hide/show at the same time when\n            toggling legend items.\n        legendgrouptitle\n            :class:`plotly.graph_objects.histogram2dcontour.Legendg\n            rouptitle` instance or dict with compatible properties\n        legendrank\n            Sets the legend rank for this trace. Items and groups\n            with smaller ranks are presented on top/left side while\n            with `*reversed* `legend.traceorder` they are on\n            bottom/right side. The default legendrank is 1000, so\n            that you can use ranks less than 1000 to place certain\n            items before all unranked items, and ranks greater than\n            1000 to go after all unranked items.\n        line\n            :class:`plotly.graph_objects.histogram2dcontour.Line`\n            instance or dict with compatible properties\n        marker\n            :class:`plotly.graph_objects.histogram2dcontour.Marker`\n            instance or dict with compatible properties\n        meta\n            Assigns extra meta information associated with this\n            trace that can be used in various text attributes.\n            Attributes such as trace `name`, graph, axis and\n            colorbar `title.text`, annotation `text`\n            `rangeselector`, `updatemenues` and `sliders` `label`\n            text all support `meta`. To access the trace `meta`\n            values in an attribute in the same trace, simply use\n            `%{meta[i]}` where `i` is the index or key of the\n            `meta` item in question. To access trace `meta` in\n            layout attributes, use `%{data[n[.meta[i]}` where `i`\n            is the index or key of the `meta` and `n` is the trace\n            index.\n        metasrc\n            Sets the source reference on Chart Studio Cloud for\n            `meta`.\n        name\n            Sets the trace name. The trace name appear as the\n            legend item and on hover.\n        nbinsx\n            Specifies the maximum number of desired bins. This\n            value will be used in an algorithm that will decide the\n            optimal bin size such that the histogram best\n            visualizes the distribution of the data. Ignored if\n            `xbins.size` is provided.\n        nbinsy\n            Specifies the maximum number of desired bins. This\n            value will be used in an algorithm that will decide the\n            optimal bin size such that the histogram best\n            visualizes the distribution of the data. Ignored if\n            `ybins.size` is provided.\n        ncontours\n            Sets the maximum number of contour levels. The actual\n            number of contours will be chosen automatically to be\n            less than or equal to the value of `ncontours`. Has an\n            effect only if `autocontour` is True or if\n            `contours.size` is missing.\n        opacity\n            Sets the opacity of the trace.\n        reversescale\n            Reverses the color mapping if true. If true, `zmin`\n            will correspond to the last color in the array and\n            `zmax` will correspond to the first color.\n        showlegend\n            Determines whether or not an item corresponding to this\n            trace is shown in the legend.\n        showscale\n            Determines whether or not a colorbar is displayed for\n            this trace.\n        stream\n            :class:`plotly.graph_objects.histogram2dcontour.Stream`\n            instance or dict with compatible properties\n        textfont\n            For this trace it only has an effect if `coloring` is\n            set to "heatmap". Sets the text font.\n        texttemplate\n            For this trace it only has an effect if `coloring` is\n            set to "heatmap". Template string used for rendering\n            the information text that appear on points. Note that\n            this will override `textinfo`. Variables are inserted\n            using %{variable}, for example "y: %{y}". Numbers are\n            formatted using d3-format\'s syntax\n            %{variable:d3-format}, for example "Price: %{y:$.2f}".\n            https://github.com/d3/d3-format/tree/v1.4.5#d3-format\n            for details on the formatting syntax. Dates are\n            formatted using d3-time-format\'s syntax\n            %{variable|d3-time-format}, for example "Day:\n            %{2019-01-01|%A}". https://github.com/d3/d3-time-\n            format/tree/v2.2.3#locale_format for details on the\n            date formatting syntax. Every attributes that can be\n            specified per-point (the ones that are `arrayOk: true`)\n            are available. variables `x`, `y`, `z` and `text`.\n        uid\n            Assign an id to this trace, Use this to provide object\n            constancy between traces during animations and\n            transitions.\n        uirevision\n            Controls persistence of some user-driven changes to the\n            trace: `constraintrange` in `parcoords` traces, as well\n            as some `editable: true` modifications such as `name`\n            and `colorbar.title`. Defaults to `layout.uirevision`.\n            Note that other user-driven trace attribute changes are\n            controlled by `layout` attributes: `trace.visible` is\n            controlled by `layout.legend.uirevision`,\n            `selectedpoints` is controlled by\n            `layout.selectionrevision`, and `colorbar.(x|y)`\n            (accessible with `config: {editable: true}`) is\n            controlled by `layout.editrevision`. Trace changes are\n            tracked by `uid`, which only falls back on trace index\n            if no `uid` is provided. So if your app can add/remove\n            traces before the end of the `data` array, such that\n            the same trace has a different index, you can still\n            preserve user-driven changes if you give each trace a\n            `uid` that stays with it as it moves.\n        visible\n            Determines whether or not this trace is visible. If\n            "legendonly", the trace is not drawn, but can appear as\n            a legend item (provided that the legend itself is\n            visible).\n        x\n            Sets the sample data to be binned on the x axis.\n        xaxis\n            Sets a reference between this trace\'s x coordinates and\n            a 2D cartesian x axis. If "x" (the default value), the\n            x coordinates refer to `layout.xaxis`. If "x2", the x\n            coordinates refer to `layout.xaxis2`, and so on.\n        xbingroup\n            Set a group of histogram traces which will have\n            compatible x-bin settings. Using `xbingroup`,\n            histogram2d and histogram2dcontour traces  (on axes of\n            the same axis type) can have compatible x-bin settings.\n            Note that the same `xbingroup` value can be used to set\n            (1D) histogram `bingroup`\n        xbins\n            :class:`plotly.graph_objects.histogram2dcontour.XBins`\n            instance or dict with compatible properties\n        xcalendar\n            Sets the calendar system to use with `x` date data.\n        xhoverformat\n            Sets the hover text formatting rulefor `x`  using d3\n            formatting mini-languages which are very similar to\n            those in Python. For numbers, see:\n            https://github.com/d3/d3-format/tree/v1.4.5#d3-format.\n            And for dates see: https://github.com/d3/d3-time-\n            format/tree/v2.2.3#locale_format. We add two items to\n            d3\'s date formatter: "%h" for half of the year as a\n            decimal number as well as "%{n}f" for fractional\n            seconds with n digits. For example, *2016-10-13\n            09:15:23.456* with tickformat "%H~%M~%S.%2f" would\n            display *09~15~23.46*By default the values are\n            formatted using `xaxis.hoverformat`.\n        xsrc\n            Sets the source reference on Chart Studio Cloud for\n            `x`.\n        y\n            Sets the sample data to be binned on the y axis.\n        yaxis\n            Sets a reference between this trace\'s y coordinates and\n            a 2D cartesian y axis. If "y" (the default value), the\n            y coordinates refer to `layout.yaxis`. If "y2", the y\n            coordinates refer to `layout.yaxis2`, and so on.\n        ybingroup\n            Set a group of histogram traces which will have\n            compatible y-bin settings. Using `ybingroup`,\n            histogram2d and histogram2dcontour traces  (on axes of\n            the same axis type) can have compatible y-bin settings.\n            Note that the same `ybingroup` value can be used to set\n            (1D) histogram `bingroup`\n        ybins\n            :class:`plotly.graph_objects.histogram2dcontour.YBins`\n            instance or dict with compatible properties\n        ycalendar\n            Sets the calendar system to use with `y` date data.\n        yhoverformat\n            Sets the hover text formatting rulefor `y`  using d3\n            formatting mini-languages which are very similar to\n            those in Python. For numbers, see:\n            https://github.com/d3/d3-format/tree/v1.4.5#d3-format.\n            And for dates see: https://github.com/d3/d3-time-\n            format/tree/v2.2.3#locale_format. We add two items to\n            d3\'s date formatter: "%h" for half of the year as a\n            decimal number as well as "%{n}f" for fractional\n            seconds with n digits. For example, *2016-10-13\n            09:15:23.456* with tickformat "%H~%M~%S.%2f" would\n            display *09~15~23.46*By default the values are\n            formatted using `yaxis.hoverformat`.\n        ysrc\n            Sets the source reference on Chart Studio Cloud for\n            `y`.\n        z\n            Sets the aggregation data.\n        zauto\n            Determines whether or not the color domain is computed\n            with respect to the input data (here in `z`) or the\n            bounds set in `zmin` and `zmax` Defaults to `false`\n            when `zmin` and `zmax` are set by the user.\n        zhoverformat\n            Sets the hover text formatting rulefor `z`  using d3\n            formatting mini-languages which are very similar to\n            those in Python. For numbers, see: https://github.com/d\n            3/d3-format/tree/v1.4.5#d3-format.By default the values\n            are formatted using generic number format.\n        zmax\n            Sets the upper bound of the color domain. Value should\n            have the same units as in `z` and if set, `zmin` must\n            be set as well.\n        zmid\n            Sets the mid-point of the color domain by scaling\n            `zmin` and/or `zmax` to be equidistant to this point.\n            Value should have the same units as in `z`. Has no\n            effect when `zauto` is `false`.\n        zmin\n            Sets the lower bound of the color domain. Value should\n            have the same units as in `z` and if set, `zmax` must\n            be set as well.\n        zsrc\n            Sets the source reference on Chart Studio Cloud for\n            `z`.\n        '
@property
def _prop_descriptions(self):
    return '        autobinx\n            Obsolete: since v1.42 each bin attribute is auto-\n            determined separately and `autobinx` is not needed.\n            However, we accept `autobinx: true` or `false` and will\n            update `xbins` accordingly before deleting `autobinx`\n            from the trace.\n        autobiny\n            Obsolete: since v1.42 each bin attribute is auto-\n            determined separately and `autobiny` is not needed.\n            However, we accept `autobiny: true` or `false` and will\n            update `ybins` accordingly before deleting `autobiny`\n            from the trace.\n        autocolorscale\n            Determines whether the colorscale is a default palette\n            (`autocolorscale: true`) or the palette determined by\n            `colorscale`. In case `colorscale` is unspecified or\n            `autocolorscale` is true, the default palette will be\n            chosen according to whether numbers in the `color`\n            array are all positive, all negative or mixed.\n        autocontour\n            Determines whether or not the contour level attributes\n            are picked by an algorithm. If True, the number of\n            contour levels can be set in `ncontours`. If False, set\n            the contour level attributes in `contours`.\n        bingroup\n            Set the `xbingroup` and `ybingroup` default prefix For\n            example, setting a `bingroup` of 1 on two histogram2d\n            traces will make them their x-bins and y-bins match\n            separately.\n        coloraxis\n            Sets a reference to a shared color axis. References to\n            these shared color axes are "coloraxis", "coloraxis2",\n            "coloraxis3", etc. Settings for these shared color axes\n            are set in the layout, under `layout.coloraxis`,\n            `layout.coloraxis2`, etc. Note that multiple color\n            scales can be linked to the same color axis.\n        colorbar\n            :class:`plotly.graph_objects.histogram2dcontour.ColorBa\n            r` instance or dict with compatible properties\n        colorscale\n            Sets the colorscale. The colorscale must be an array\n            containing arrays mapping a normalized value to an rgb,\n            rgba, hex, hsl, hsv, or named color string. At minimum,\n            a mapping for the lowest (0) and highest (1) values are\n            required. For example, `[[0, \'rgb(0,0,255)\'], [1,\n            \'rgb(255,0,0)\']]`. To control the bounds of the\n            colorscale in color space, use `zmin` and `zmax`.\n            Alternatively, `colorscale` may be a palette name\n            string of the following list: Blackbody,Bluered,Blues,C\n            ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl\n            and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd.\n        contours\n            :class:`plotly.graph_objects.histogram2dcontour.Contour\n            s` instance or dict with compatible properties\n        customdata\n            Assigns extra data each datum. This may be useful when\n            listening to hover, click and selection events. Note\n            that, "scatter" traces also appends customdata items in\n            the markers DOM elements\n        customdatasrc\n            Sets the source reference on Chart Studio Cloud for\n            `customdata`.\n        histfunc\n            Specifies the binning function used for this histogram\n            trace. If "count", the histogram values are computed by\n            counting the number of values lying inside each bin. If\n            "sum", "avg", "min", "max", the histogram values are\n            computed using the sum, the average, the minimum or the\n            maximum of the values lying inside each bin\n            respectively.\n        histnorm\n            Specifies the type of normalization used for this\n            histogram trace. If , the span of each bar\n            corresponds to the number of occurrences (i.e. the\n            number of data points lying inside the bins). If\n            "percent" / "probability", the span of each bar\n            corresponds to the percentage / fraction of occurrences\n            with respect to the total number of sample points\n            (here, the sum of all bin HEIGHTS equals 100% / 1). If\n            "density", the span of each bar corresponds to the\n            number of occurrences in a bin divided by the size of\n            the bin interval (here, the sum of all bin AREAS equals\n            the total number of sample points). If *probability\n            density*, the area of each bar corresponds to the\n            probability that an event will fall into the\n            corresponding bin (here, the sum of all bin AREAS\n            equals 1).\n        hoverinfo\n            Determines which trace information appear on hover. If\n            `none` or `skip` are set, no information is displayed\n            upon hovering. But, if `none` is set, click and hover\n            events are still fired.\n        hoverinfosrc\n            Sets the source reference on Chart Studio Cloud for\n            `hoverinfo`.\n        hoverlabel\n            :class:`plotly.graph_objects.histogram2dcontour.Hoverla\n            bel` instance or dict with compatible properties\n        hovertemplate\n            Template string used for rendering the information that\n            appear on hover box. Note that this will override\n            `hoverinfo`. Variables are inserted using %{variable},\n            for example "y: %{y}" as well as %{xother}, {%_xother},\n            {%_xother_}, {%xother_}. When showing info for several\n            points, "xother" will be added to those with different\n            x positions from the first point. An underscore before\n            or after "(x|y)other" will add a space on that side,\n            only when this field is shown. Numbers are formatted\n            using d3-format\'s syntax %{variable:d3-format}, for\n            example "Price: %{y:$.2f}".\n            https://github.com/d3/d3-format/tree/v1.4.5#d3-format\n            for details on the formatting syntax. Dates are\n            formatted using d3-time-format\'s syntax\n            %{variable|d3-time-format}, for example "Day:\n            %{2019-01-01|%A}". https://github.com/d3/d3-time-\n            format/tree/v2.2.3#locale_format for details on the\n            date formatting syntax. The variables available in\n            `hovertemplate` are the ones emitted as event data\n            described at this link\n            https://plotly.com/javascript/plotlyjs-events/#event-\n            data. Additionally, every attributes that can be\n            specified per-point (the ones that are `arrayOk: true`)\n            are available. variable `z` Anything contained in tag\n            `<extra>` is displayed in the secondary box, for\n            example "<extra>{fullData.name}</extra>". To hide the\n            secondary box completely, use an empty tag\n            `<extra></extra>`.\n        hovertemplatesrc\n            Sets the source reference on Chart Studio Cloud for\n            `hovertemplate`.\n        ids\n            Assigns id labels to each datum. These ids for object\n            constancy of data points during animation. Should be an\n            array of strings, not numbers or any other type.\n        idssrc\n            Sets the source reference on Chart Studio Cloud for\n            `ids`.\n        legendgroup\n            Sets the legend group for this trace. Traces part of\n            the same legend group hide/show at the same time when\n            toggling legend items.\n        legendgrouptitle\n            :class:`plotly.graph_objects.histogram2dcontour.Legendg\n            rouptitle` instance or dict with compatible properties\n        legendrank\n            Sets the legend rank for this trace. Items and groups\n            with smaller ranks are presented on top/left side while\n            with `*reversed* `legend.traceorder` they are on\n            bottom/right side. The default legendrank is 1000, so\n            that you can use ranks less than 1000 to place certain\n            items before all unranked items, and ranks greater than\n            1000 to go after all unranked items.\n        line\n            :class:`plotly.graph_objects.histogram2dcontour.Line`\n            instance or dict with compatible properties\n        marker\n            :class:`plotly.graph_objects.histogram2dcontour.Marker`\n            instance or dict with compatible properties\n        meta\n            Assigns extra meta information associated with this\n            trace that can be used in various text attributes.\n            Attributes such as trace `name`, graph, axis and\n            colorbar `title.text`, annotation `text`\n            `rangeselector`, `updatemenues` and `sliders` `label`\n            text all support `meta`. To access the trace `meta`\n            values in an attribute in the same trace, simply use\n            `%{meta[i]}` where `i` is the index or key of the\n            `meta` item in question. To access trace `meta` in\n            layout attributes, use `%{data[n[.meta[i]}` where `i`\n            is the index or key of the `meta` and `n` is the trace\n            index.\n        metasrc\n            Sets the source reference on Chart Studio Cloud for\n            `meta`.\n        name\n            Sets the trace name. The trace name appear as the\n            legend item and on hover.\n        nbinsx\n            Specifies the maximum number of desired bins. This\n            value will be used in an algorithm that will decide the\n            optimal bin size such that the histogram best\n            visualizes the distribution of the data. Ignored if\n            `xbins.size` is provided.\n        nbinsy\n            Specifies the maximum number of desired bins. This\n            value will be used in an algorithm that will decide the\n            optimal bin size such that the histogram best\n            visualizes the distribution of the data. Ignored if\n            `ybins.size` is provided.\n        ncontours\n            Sets the maximum number of contour levels. The actual\n            number of contours will be chosen automatically to be\n            less than or equal to the value of `ncontours`. Has an\n            effect only if `autocontour` is True or if\n            `contours.size` is missing.\n        opacity\n            Sets the opacity of the trace.\n        reversescale\n            Reverses the color mapping if true. If true, `zmin`\n            will correspond to the last color in the array and\n            `zmax` will correspond to the first color.\n        showlegend\n            Determines whether or not an item corresponding to this\n            trace is shown in the legend.\n        showscale\n            Determines whether or not a colorbar is displayed for\n            this trace.\n        stream\n            :class:`plotly.graph_objects.histogram2dcontour.Stream`\n            instance or dict with compatible properties\n        textfont\n            For this trace it only has an effect if `coloring` is\n            set to "heatmap". Sets the text font.\n        texttemplate\n            For this trace it only has an effect if `coloring` is\n            set to "heatmap". Template string used for rendering\n            the information text that appear on points. Note that\n            this will override `textinfo`. Variables are inserted\n            using %{variable}, for example "y: %{y}". Numbers are\n            formatted using d3-format\'s syntax\n            %{variable:d3-format}, for example "Price: %{y:$.2f}".\n            https://github.com/d3/d3-format/tree/v1.4.5#d3-format\n            for details on the formatting syntax. Dates are\n            formatted using d3-time-format\'s syntax\n            %{variable|d3-time-format}, for example "Day:\n            %{2019-01-01|%A}". https://github.com/d3/d3-time-\n            format/tree/v2.2.3#locale_format for details on the\n            date formatting syntax. Every attributes that can be\n            specified per-point (the ones that are `arrayOk: true`)\n            are available. variables `x`, `y`, `z` and `text`.\n        uid\n            Assign an id to this trace, Use this to provide object\n            constancy between traces during animations and\n            transitions.\n        uirevision\n            Controls persistence of some user-driven changes to the\n            trace: `constraintrange` in `parcoords` traces, as well\n            as some `editable: true` modifications such as `name`\n            and `colorbar.title`. Defaults to `layout.uirevision`.\n            Note that other user-driven trace attribute changes are\n            controlled by `layout` attributes: `trace.visible` is\n            controlled by `layout.legend.uirevision`,\n            `selectedpoints` is controlled by\n            `layout.selectionrevision`, and `colorbar.(x|y)`\n            (accessible with `config: {editable: true}`) is\n            controlled by `layout.editrevision`. Trace changes are\n            tracked by `uid`, which only falls back on trace index\n            if no `uid` is provided. So if your app can add/remove\n            traces before the end of the `data` array, such that\n            the same trace has a different index, you can still\n            preserve user-driven changes if you give each trace a\n            `uid` that stays with it as it moves.\n        visible\n            Determines whether or not this trace is visible. If\n            "legendonly", the trace is not drawn, but can appear as\n            a legend item (provided that the legend itself is\n            visible).\n        x\n            Sets the sample data to be binned on the x axis.\n        xaxis\n            Sets a reference between this trace\'s x coordinates and\n            a 2D cartesian x axis. If "x" (the default value), the\n            x coordinates refer to `layout.xaxis`. If "x2", the x\n            coordinates refer to `layout.xaxis2`, and so on.\n        xbingroup\n            Set a group of histogram traces which will have\n            compatible x-bin settings. Using `xbingroup`,\n            histogram2d and histogram2dcontour traces  (on axes of\n            the same axis type) can have compatible x-bin settings.\n            Note that the same `xbingroup` value can be used to set\n            (1D) histogram `bingroup`\n        xbins\n            :class:`plotly.graph_objects.histogram2dcontour.XBins`\n            instance or dict with compatible properties\n        xcalendar\n            Sets the calendar system to use with `x` date data.\n        xhoverformat\n            Sets the hover text formatting rulefor `x`  using d3\n            formatting mini-languages which are very similar to\n            those in Python. For numbers, see:\n            https://github.com/d3/d3-format/tree/v1.4.5#d3-format.\n            And for dates see: https://github.com/d3/d3-time-\n            format/tree/v2.2.3#locale_format. We add two items to\n            d3\'s date formatter: "%h" for half of the year as a\n            decimal number as well as "%{n}f" for fractional\n            seconds with n digits. For example, *2016-10-13\n            09:15:23.456* with tickformat "%H~%M~%S.%2f" would\n            display *09~15~23.46*By default the values are\n            formatted using `xaxis.hoverformat`.\n        xsrc\n            Sets the source reference on Chart Studio Cloud for\n            `x`.\n        y\n            Sets the sample data to be binned on the y axis.\n        yaxis\n            Sets a reference between this trace\'s y coordinates and\n            a 2D cartesian y axis. If "y" (the default value), the\n            y coordinates refer to `layout.yaxis`. If "y2", the y\n            coordinates refer to `layout.yaxis2`, and so on.\n        ybingroup\n            Set a group of histogram traces which will have\n            compatible y-bin settings. Using `ybingroup`,\n            histogram2d and histogram2dcontour traces  (on axes of\n            the same axis type) can have compatible y-bin settings.\n            Note that the same `ybingroup` value can be used to set\n            (1D) histogram `bingroup`\n        ybins\n            :class:`plotly.graph_objects.histogram2dcontour.YBins`\n            instance or dict with compatible properties\n        ycalendar\n            Sets the calendar system to use with `y` date data.\n        yhoverformat\n            Sets the hover text formatting rulefor `y`  using d3\n            formatting mini-languages which are very similar to\n            those in Python. For numbers, see:\n            https://github.com/d3/d3-format/tree/v1.4.5#d3-format.\n            And for dates see: https://github.com/d3/d3-time-\n            format/tree/v2.2.3#locale_format. We add two items to\n            d3\'s date formatter: "%h" for half of the year as a\n            decimal number as well as "%{n}f" for fractional\n            seconds with n digits. For example, *2016-10-13\n            09:15:23.456* with tickformat "%H~%M~%S.%2f" would\n            display *09~15~23.46*By default the values are\n            formatted using `yaxis.hoverformat`.\n        ysrc\n            Sets the source reference on Chart Studio Cloud for\n            `y`.\n        z\n            Sets the aggregation data.\n        zauto\n            Determines whether or not the color domain is computed\n            with respect to the input data (here in `z`) or the\n            bounds set in `zmin` and `zmax` Defaults to `false`\n            when `zmin` and `zmax` are set by the user.\n        zhoverformat\n            Sets the hover text formatting rulefor `z`  using d3\n            formatting mini-languages which are very similar to\n            those in Python. For numbers, see: https://github.com/d\n            3/d3-format/tree/v1.4.5#d3-format.By default the values\n            are formatted using generic number format.\n        zmax\n            Sets the upper bound of the color domain. Value should\n            have the same units as in `z` and if set, `zmin` must\n            be set as well.\n        zmid\n            Sets the mid-point of the color domain by scaling\n            `zmin` and/or `zmax` to be equidistant to this point.\n            Value should have the same units as in `z`. Has no\n            effect when `zauto` is `false`.\n        zmin\n            Sets the lower bound of the color domain. Value should\n            have the same units as in `z` and if set, `zmax` must\n            be set as well.\n        zsrc\n            Sets the source reference on Chart Studio Cloud for\n            `z`.\n        '