from plotly.basedatatypes import BaseTraceType as _BaseTraceType import copy as _copy class Histogram(_BaseTraceType): # class properties # -------------------- _parent_path_str = "" _path_str = "histogram" _valid_props = { "alignmentgroup", "autobinx", "autobiny", "bingroup", "cliponaxis", "constraintext", "cumulative", "customdata", "customdatasrc", "error_x", "error_y", "histfunc", "histnorm", "hoverinfo", "hoverinfosrc", "hoverlabel", "hovertemplate", "hovertemplatesrc", "hovertext", "hovertextsrc", "ids", "idssrc", "insidetextanchor", "insidetextfont", "legend", "legendgroup", "legendgrouptitle", "legendrank", "legendwidth", "marker", "meta", "metasrc", "name", "nbinsx", "nbinsy", "offsetgroup", "opacity", "orientation", "outsidetextfont", "selected", "selectedpoints", "showlegend", "stream", "text", "textangle", "textfont", "textposition", "textsrc", "texttemplate", "type", "uid", "uirevision", "unselected", "visible", "x", "xaxis", "xbins", "xcalendar", "xhoverformat", "xsrc", "y", "yaxis", "ybins", "ycalendar", "yhoverformat", "ysrc", "zorder", } # alignmentgroup # -------------- @property def alignmentgroup(self): """ Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently. The 'alignmentgroup' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["alignmentgroup"] @alignmentgroup.setter def alignmentgroup(self, val): self["alignmentgroup"] = val # autobinx # -------- @property def autobinx(self): """ Obsolete: since v1.42 each bin attribute is auto-determined separately and `autobinx` is not needed. However, we accept `autobinx: true` or `false` and will update `xbins` accordingly before deleting `autobinx` from the trace. The 'autobinx' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["autobinx"] @autobinx.setter def autobinx(self, val): self["autobinx"] = val # autobiny # -------- @property def autobiny(self): """ Obsolete: since v1.42 each bin attribute is auto-determined separately and `autobiny` is not needed. However, we accept `autobiny: true` or `false` and will update `ybins` accordingly before deleting `autobiny` from the trace. The 'autobiny' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["autobiny"] @autobiny.setter def autobiny(self, val): self["autobiny"] = val # bingroup # -------- @property def bingroup(self): """ Set a group of histogram traces which will have compatible bin settings. Note that traces on the same subplot and with the same "orientation" under `barmode` "stack", "relative" and "group" are forced into the same bingroup, Using `bingroup`, traces under `barmode` "overlay" and on different axes (of the same axis type) can have compatible bin settings. Note that histogram and histogram2d* trace can share the same `bingroup` The 'bingroup' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["bingroup"] @bingroup.setter def bingroup(self, val): self["bingroup"] = val # cliponaxis # ---------- @property def cliponaxis(self): """ Determines whether the text nodes are clipped about the subplot axes. To show the text nodes above axis lines and tick labels, make sure to set `xaxis.layer` and `yaxis.layer` to *below traces*. The 'cliponaxis' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["cliponaxis"] @cliponaxis.setter def cliponaxis(self, val): self["cliponaxis"] = val # constraintext # ------------- @property def constraintext(self): """ Constrain the size of text inside or outside a bar to be no larger than the bar itself. The 'constraintext' property is an enumeration that may be specified as: - One of the following enumeration values: ['inside', 'outside', 'both', 'none'] Returns ------- Any """ return self["constraintext"] @constraintext.setter def constraintext(self, val): self["constraintext"] = val # cumulative # ---------- @property def cumulative(self): """ The 'cumulative' property is an instance of Cumulative that may be specified as: - An instance of :class:`plotly.graph_objs.histogram.Cumulative` - A dict of string/value properties that will be passed to the Cumulative constructor Supported dict properties: 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. Returns ------- plotly.graph_objs.histogram.Cumulative """ return self["cumulative"] @cumulative.setter def cumulative(self, val): self["cumulative"] = 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 Chart Studio Cloud for `customdata`. The 'customdatasrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["customdatasrc"] @customdatasrc.setter def customdatasrc(self, val): self["customdatasrc"] = val # error_x # ------- @property def error_x(self): """ The 'error_x' property is an instance of ErrorX that may be specified as: - An instance of :class:`plotly.graph_objs.histogram.ErrorX` - A dict of string/value properties that will be passed to the ErrorX constructor Supported dict properties: 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 Chart Studio Cloud for `arrayminus`. arraysrc Sets the source reference on Chart Studio Cloud 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 square 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. Returns ------- plotly.graph_objs.histogram.ErrorX """ return self["error_x"] @error_x.setter def error_x(self, val): self["error_x"] = val # error_y # ------- @property def error_y(self): """ The 'error_y' property is an instance of ErrorY that may be specified as: - An instance of :class:`plotly.graph_objs.histogram.ErrorY` - A dict of string/value properties that will be passed to the ErrorY constructor Supported dict properties: 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 Chart Studio Cloud for `arrayminus`. arraysrc Sets the source reference on Chart Studio Cloud 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 square 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. Returns ------- plotly.graph_objs.histogram.ErrorY """ return self["error_y"] @error_y.setter def error_y(self, val): self["error_y"] = val # histfunc # -------- @property def histfunc(self): """ Specifies the binning function used for this histogram trace. If "count", the histogram values are computed by counting the number of values lying inside each bin. If "sum", "avg", "min", "max", the histogram values are computed using the sum, the average, the minimum or the maximum of the values lying inside each bin respectively. The 'histfunc' property is an enumeration that may be specified as: - One of the following enumeration values: ['count', 'sum', 'avg', 'min', 'max'] Returns ------- Any """ return self["histfunc"] @histfunc.setter def histfunc(self, val): self["histfunc"] = val # histnorm # -------- @property def histnorm(self): """ Specifies the type of normalization used for this histogram trace. If "", the span of each bar corresponds to the number of occurrences (i.e. the number of data points lying inside the bins). If "percent" / "probability", the span of each bar corresponds to the percentage / fraction of occurrences with respect to the total number of sample points (here, the sum of all bin HEIGHTS equals 100% / 1). If "density", the span of each bar corresponds to the number of occurrences in a bin divided by the size of the bin interval (here, the sum of all bin AREAS equals the total number of sample points). If *probability density*, the area of each bar corresponds to the probability that an event will fall into the corresponding bin (here, the sum of all bin AREAS equals 1). The 'histnorm' property is an enumeration that may be specified as: - One of the following enumeration values: ['', 'percent', 'probability', 'density', 'probability density'] Returns ------- Any """ return self["histnorm"] @histnorm.setter def histnorm(self, val): self["histnorm"] = val # hoverinfo # --------- @property def hoverinfo(self): """ Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. The 'hoverinfo' property is a flaglist and may be specified as a string containing: - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters (e.g. 'x+y') OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip') - A list or array of the above Returns ------- Any|numpy.ndarray """ return self["hoverinfo"] @hoverinfo.setter def hoverinfo(self, val): self["hoverinfo"] = val # hoverinfosrc # ------------ @property def hoverinfosrc(self): """ Sets the source reference on Chart Studio Cloud for `hoverinfo`. The 'hoverinfosrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["hoverinfosrc"] @hoverinfosrc.setter def hoverinfosrc(self, val): self["hoverinfosrc"] = val # hoverlabel # ---------- @property def hoverlabel(self): """ The 'hoverlabel' property is an instance of Hoverlabel that may be specified as: - An instance of :class:`plotly.graph_objs.histogram.Hoverlabel` - A dict of string/value properties that will be passed to the Hoverlabel constructor Supported dict properties: 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 Chart Studio Cloud for `align`. bgcolor Sets the background color of the hover labels for this trace bgcolorsrc Sets the source reference on Chart Studio Cloud for `bgcolor`. bordercolor Sets the border color of the hover labels for this trace. bordercolorsrc Sets the source reference on Chart Studio Cloud 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 Chart Studio Cloud for `namelength`. Returns ------- plotly.graph_objs.histogram.Hoverlabel """ return self["hoverlabel"] @hoverlabel.setter def hoverlabel(self, val): self["hoverlabel"] = val # hovertemplate # ------------- @property def hovertemplate(self): """ Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event-data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variable `binNumber` Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. The 'hovertemplate' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray """ return self["hovertemplate"] @hovertemplate.setter def hovertemplate(self, val): self["hovertemplate"] = val # hovertemplatesrc # ---------------- @property def hovertemplatesrc(self): """ Sets the source reference on Chart Studio Cloud for `hovertemplate`. The 'hovertemplatesrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["hovertemplatesrc"] @hovertemplatesrc.setter def hovertemplatesrc(self, val): self["hovertemplatesrc"] = val # hovertext # --------- @property def hovertext(self): """ Same as `text`. The 'hovertext' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray """ return self["hovertext"] @hovertext.setter def hovertext(self, val): self["hovertext"] = val # hovertextsrc # ------------ @property def hovertextsrc(self): """ Sets the source reference on Chart Studio Cloud for `hovertext`. The 'hovertextsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["hovertextsrc"] @hovertextsrc.setter def hovertextsrc(self, val): self["hovertextsrc"] = val # 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 Chart Studio Cloud for `ids`. The 'idssrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["idssrc"] @idssrc.setter def idssrc(self, val): self["idssrc"] = val # insidetextanchor # ---------------- @property def insidetextanchor(self): """ Determines if texts are kept at center or start/end points in `textposition` "inside" mode. The 'insidetextanchor' property is an enumeration that may be specified as: - One of the following enumeration values: ['end', 'middle', 'start'] Returns ------- Any """ return self["insidetextanchor"] @insidetextanchor.setter def insidetextanchor(self, val): self["insidetextanchor"] = val # insidetextfont # -------------- @property def insidetextfont(self): """ Sets the font used for `text` lying inside the bar. The 'insidetextfont' property is an instance of Insidetextfont that may be specified as: - An instance of :class:`plotly.graph_objs.histogram.Insidetextfont` - A dict of string/value properties that will be passed to the Insidetextfont constructor Supported dict properties: color family HTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans", "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman". lineposition Sets the kind of decoration line(s) with text, such as an "under", "over" or "through" as well as combinations e.g. "under+over", etc. shadow Sets the shape and color of the shadow behind text. "auto" places minimal shadow and applies contrast text font color. See https://developer.mozilla.org/en- US/docs/Web/CSS/text-shadow for additional options. size style Sets whether a font should be styled with a normal or italic face from its family. textcase Sets capitalization of text. It can be used to make text appear in all-uppercase or all- lowercase, or with each word capitalized. variant Sets the variant of the font. weight Sets the weight (or boldness) of the font. Returns ------- plotly.graph_objs.histogram.Insidetextfont """ return self["insidetextfont"] @insidetextfont.setter def insidetextfont(self, val): self["insidetextfont"] = val # legend # ------ @property def legend(self): """ Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. The 'legend' property is an identifier of a particular subplot, of type 'legend', that may be specified as the string 'legend' optionally followed by an integer >= 1 (e.g. 'legend', 'legend1', 'legend2', 'legend3', etc.) Returns ------- str """ return self["legend"] @legend.setter def legend(self, val): self["legend"] = val # legendgroup # ----------- @property def legendgroup(self): """ Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. The 'legendgroup' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["legendgroup"] @legendgroup.setter def legendgroup(self, val): self["legendgroup"] = val # legendgrouptitle # ---------------- @property def legendgrouptitle(self): """ The 'legendgrouptitle' property is an instance of Legendgrouptitle that may be specified as: - An instance of :class:`plotly.graph_objs.histogram.Legendgrouptitle` - A dict of string/value properties that will be passed to the Legendgrouptitle constructor Supported dict properties: font Sets this legend group's title font. text Sets the title of the legend group. Returns ------- plotly.graph_objs.histogram.Legendgrouptitle """ return self["legendgrouptitle"] @legendgrouptitle.setter def legendgrouptitle(self, val): self["legendgrouptitle"] = val # legendrank # ---------- @property def legendrank(self): """ Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. The 'legendrank' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["legendrank"] @legendrank.setter def legendrank(self, val): self["legendrank"] = val # legendwidth # ----------- @property def legendwidth(self): """ Sets the width (in px or fraction) of the legend for this trace. The 'legendwidth' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["legendwidth"] @legendwidth.setter def legendwidth(self, val): self["legendwidth"] = val # marker # ------ @property def marker(self): """ The 'marker' property is an instance of Marker that may be specified as: - An instance of :class:`plotly.graph_objs.histogram.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. 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 the marker color. 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: Blackbody,Bluered,Blues,Cividis,Earth,Electric, Greens,Greys,Hot,Jet,Picnic,Portland,Rainbow,Rd Bu,Reds,Viridis,YlGnBu,YlOrRd. colorsrc Sets the source reference on Chart Studio Cloud for `color`. cornerradius Sets the rounding of corners. May be an integer number of pixels, or a percentage of bar width (as a string ending in %). Defaults to `layout.barcornerradius`. In stack or relative barmode, the first trace to set cornerradius is used for the whole stack. 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 Chart Studio Cloud for `opacity`. pattern Sets the pattern within the marker. 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.histogram.Marker """ return self["marker"] @marker.setter def marker(self, val): self["marker"] = val # meta # ---- @property def meta(self): """ Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. The 'meta' property accepts values of any type Returns ------- Any|numpy.ndarray """ return self["meta"] @meta.setter def meta(self, val): self["meta"] = val # metasrc # ------- @property def metasrc(self): """ Sets the source reference on Chart Studio Cloud for `meta`. The 'metasrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["metasrc"] @metasrc.setter def metasrc(self, val): self["metasrc"] = val # name # ---- @property def name(self): """ Sets the trace name. The trace name appears as the legend item and on hover. The 'name' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["name"] @name.setter def name(self, val): self["name"] = val # nbinsx # ------ @property def nbinsx(self): """ Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `xbins.size` is provided. The 'nbinsx' property is a integer and may be specified as: - An int (or float that will be cast to an int) in the interval [0, 9223372036854775807] Returns ------- int """ return self["nbinsx"] @nbinsx.setter def nbinsx(self, val): self["nbinsx"] = val # nbinsy # ------ @property def nbinsy(self): """ Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `ybins.size` is provided. The 'nbinsy' property is a integer and may be specified as: - An int (or float that will be cast to an int) in the interval [0, 9223372036854775807] Returns ------- int """ return self["nbinsy"] @nbinsy.setter def nbinsy(self, val): self["nbinsy"] = val # offsetgroup # ----------- @property def offsetgroup(self): """ Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up. The 'offsetgroup' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["offsetgroup"] @offsetgroup.setter def offsetgroup(self, val): self["offsetgroup"] = 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 # orientation # ----------- @property def orientation(self): """ Sets the orientation of the bars. With "v" ("h"), the value of the each bar spans along the vertical (horizontal). The 'orientation' property is an enumeration that may be specified as: - One of the following enumeration values: ['v', 'h'] Returns ------- Any """ return self["orientation"] @orientation.setter def orientation(self, val): self["orientation"] = val # outsidetextfont # --------------- @property def outsidetextfont(self): """ Sets the font used for `text` lying outside the bar. The 'outsidetextfont' property is an instance of Outsidetextfont that may be specified as: - An instance of :class:`plotly.graph_objs.histogram.Outsidetextfont` - A dict of string/value properties that will be passed to the Outsidetextfont constructor Supported dict properties: color family HTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans", "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman". lineposition Sets the kind of decoration line(s) with text, such as an "under", "over" or "through" as well as combinations e.g. "under+over", etc. shadow Sets the shape and color of the shadow behind text. "auto" places minimal shadow and applies contrast text font color. See https://developer.mozilla.org/en- US/docs/Web/CSS/text-shadow for additional options. size style Sets whether a font should be styled with a normal or italic face from its family. textcase Sets capitalization of text. It can be used to make text appear in all-uppercase or all- lowercase, or with each word capitalized. variant Sets the variant of the font. weight Sets the weight (or boldness) of the font. Returns ------- plotly.graph_objs.histogram.Outsidetextfont """ return self["outsidetextfont"] @outsidetextfont.setter def outsidetextfont(self, val): self["outsidetextfont"] = val # selected # -------- @property def selected(self): """ The 'selected' property is an instance of Selected that may be specified as: - An instance of :class:`plotly.graph_objs.histogram.Selected` - A dict of string/value properties that will be passed to the Selected constructor Supported dict properties: 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 Returns ------- plotly.graph_objs.histogram.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 :class:`plotly.graph_objs.histogram.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://chart- studio.plotly.com/settings for more details. Returns ------- plotly.graph_objs.histogram.Stream """ return self["stream"] @stream.setter def stream(self, val): self["stream"] = 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 # textangle # --------- @property def textangle(self): """ Sets the angle of the tick labels with respect to the bar. For example, a `tickangle` of -90 draws the tick labels vertically. With "auto" the texts may automatically be rotated to fit with the maximum size in bars. The 'textangle' property is a angle (in degrees) that may be specified as a number between -180 and 180. Numeric values outside this range are converted to the equivalent value (e.g. 270 is converted to -90). Returns ------- int|float """ return self["textangle"] @textangle.setter def textangle(self, val): self["textangle"] = val # textfont # -------- @property def textfont(self): """ Sets the text font. The 'textfont' property is an instance of Textfont that may be specified as: - An instance of :class:`plotly.graph_objs.histogram.Textfont` - A dict of string/value properties that will be passed to the Textfont constructor Supported dict properties: color family HTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans", "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman". lineposition Sets the kind of decoration line(s) with text, such as an "under", "over" or "through" as well as combinations e.g. "under+over", etc. shadow Sets the shape and color of the shadow behind text. "auto" places minimal shadow and applies contrast text font color. See https://developer.mozilla.org/en- US/docs/Web/CSS/text-shadow for additional options. size style Sets whether a font should be styled with a normal or italic face from its family. textcase Sets capitalization of text. It can be used to make text appear in all-uppercase or all- lowercase, or with each word capitalized. variant Sets the variant of the font. weight Sets the weight (or boldness) of the font. Returns ------- plotly.graph_objs.histogram.Textfont """ return self["textfont"] @textfont.setter def textfont(self, val): self["textfont"] = val # textposition # ------------ @property def textposition(self): """ Specifies the location of the `text`. "inside" positions `text` inside, next to the bar end (rotated and scaled if needed). "outside" positions `text` outside, next to the bar end (scaled if needed), unless there is another bar stacked on this one, then the text gets pushed inside. "auto" tries to position `text` inside the bar, but if the bar is too small and no bar is stacked on this one the text is moved outside. If "none", no text appears. The 'textposition' property is an enumeration that may be specified as: - One of the following enumeration values: ['inside', 'outside', 'auto', 'none'] Returns ------- Any """ return self["textposition"] @textposition.setter def textposition(self, val): self["textposition"] = val # textsrc # ------- @property def textsrc(self): """ Sets the source reference on Chart Studio Cloud for `text`. The 'textsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["textsrc"] @textsrc.setter def textsrc(self, val): self["textsrc"] = val # texttemplate # ------------ @property def texttemplate(self): """ Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per- point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `label` and `value`. The 'texttemplate' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["texttemplate"] @texttemplate.setter def texttemplate(self, val): self["texttemplate"] = val # uid # --- @property def uid(self): """ Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. The 'uid' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["uid"] @uid.setter def uid(self, val): self["uid"] = val # uirevision # ---------- @property def uirevision(self): """ Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. The 'uirevision' property accepts values of any type Returns ------- Any """ return self["uirevision"] @uirevision.setter def uirevision(self, val): self["uirevision"] = val # unselected # ---------- @property def unselected(self): """ The 'unselected' property is an instance of Unselected that may be specified as: - An instance of :class:`plotly.graph_objs.histogram.Unselected` - A dict of string/value properties that will be passed to the Unselected constructor Supported dict properties: 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 Returns ------- plotly.graph_objs.histogram.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 # x # - @property def x(self): """ Sets the sample data to be binned on the x axis. The 'x' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["x"] @x.setter def x(self, val): self["x"] = val # xaxis # ----- @property def xaxis(self): """ Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. The 'xaxis' property is an identifier of a particular subplot, of type 'x', that may be specified as the string 'x' optionally followed by an integer >= 1 (e.g. 'x', 'x1', 'x2', 'x3', etc.) Returns ------- str """ return self["xaxis"] @xaxis.setter def xaxis(self, val): self["xaxis"] = val # xbins # ----- @property def xbins(self): """ The 'xbins' property is an instance of XBins that may be specified as: - An instance of :class:`plotly.graph_objs.histogram.XBins` - A dict of string/value properties that will be passed to the XBins constructor Supported dict properties: 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. Returns ------- plotly.graph_objs.histogram.XBins """ return self["xbins"] @xbins.setter def xbins(self, val): self["xbins"] = val # xcalendar # --------- @property def xcalendar(self): """ Sets the calendar system to use with `x` date data. The 'xcalendar' property is an enumeration that may be specified as: - One of the following enumeration values: ['chinese', 'coptic', 'discworld', 'ethiopian', 'gregorian', 'hebrew', 'islamic', 'jalali', 'julian', 'mayan', 'nanakshahi', 'nepali', 'persian', 'taiwan', 'thai', 'ummalqura'] Returns ------- Any """ return self["xcalendar"] @xcalendar.setter def xcalendar(self, val): self["xcalendar"] = val # xhoverformat # ------------ @property def xhoverformat(self): """ Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. The 'xhoverformat' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["xhoverformat"] @xhoverformat.setter def xhoverformat(self, val): self["xhoverformat"] = val # xsrc # ---- @property def xsrc(self): """ Sets the source reference on Chart Studio Cloud for `x`. The 'xsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["xsrc"] @xsrc.setter def xsrc(self, val): self["xsrc"] = val # y # - @property def y(self): """ Sets the sample data to be binned on the y axis. The 'y' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["y"] @y.setter def y(self, val): self["y"] = val # yaxis # ----- @property def yaxis(self): """ Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. The 'yaxis' property is an identifier of a particular subplot, of type 'y', that may be specified as the string 'y' optionally followed by an integer >= 1 (e.g. 'y', 'y1', 'y2', 'y3', etc.) Returns ------- str """ return self["yaxis"] @yaxis.setter def yaxis(self, val): self["yaxis"] = val # ybins # ----- @property def ybins(self): """ The 'ybins' property is an instance of YBins that may be specified as: - An instance of :class:`plotly.graph_objs.histogram.YBins` - A dict of string/value properties that will be passed to the YBins constructor Supported dict properties: 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. Returns ------- plotly.graph_objs.histogram.YBins """ return self["ybins"] @ybins.setter def ybins(self, val): self["ybins"] = val # ycalendar # --------- @property def ycalendar(self): """ Sets the calendar system to use with `y` date data. The 'ycalendar' property is an enumeration that may be specified as: - One of the following enumeration values: ['chinese', 'coptic', 'discworld', 'ethiopian', 'gregorian', 'hebrew', 'islamic', 'jalali', 'julian', 'mayan', 'nanakshahi', 'nepali', 'persian', 'taiwan', 'thai', 'ummalqura'] Returns ------- Any """ return self["ycalendar"] @ycalendar.setter def ycalendar(self, val): self["ycalendar"] = val # yhoverformat # ------------ @property def yhoverformat(self): """ Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. The 'yhoverformat' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["yhoverformat"] @yhoverformat.setter def yhoverformat(self, val): self["yhoverformat"] = val # ysrc # ---- @property def ysrc(self): """ Sets the source reference on Chart Studio Cloud for `y`. The 'ysrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["ysrc"] @ysrc.setter def ysrc(self, val): self["ysrc"] = val # zorder # ------ @property def zorder(self): """ Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. The 'zorder' property is a integer and may be specified as: - An int (or float that will be cast to an int) Returns ------- int """ return self["zorder"] @zorder.setter def zorder(self, val): self["zorder"] = val # type # ---- @property def type(self): return self._props["type"] # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ alignmentgroup Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently. autobinx Obsolete: since v1.42 each bin attribute is auto- determined separately and `autobinx` is not needed. However, we accept `autobinx: true` or `false` and will update `xbins` accordingly before deleting `autobinx` from the trace. autobiny Obsolete: since v1.42 each bin attribute is auto- determined separately and `autobiny` is not needed. However, we accept `autobiny: true` or `false` and will update `ybins` accordingly before deleting `autobiny` from the trace. bingroup Set a group of histogram traces which will have compatible bin settings. Note that traces on the same subplot and with the same "orientation" under `barmode` "stack", "relative" and "group" are forced into the same bingroup, Using `bingroup`, traces under `barmode` "overlay" and on different axes (of the same axis type) can have compatible bin settings. Note that histogram and histogram2d* trace can share the same `bingroup` cliponaxis Determines whether the text nodes are clipped about the subplot axes. To show the text nodes above axis lines and tick labels, make sure to set `xaxis.layer` and `yaxis.layer` to *below traces*. constraintext Constrain the size of text inside or outside a bar to be no larger than the bar itself. cumulative :class:`plotly.graph_objects.histogram.Cumulative` instance or dict with compatible properties customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. error_x :class:`plotly.graph_objects.histogram.ErrorX` instance or dict with compatible properties error_y :class:`plotly.graph_objects.histogram.ErrorY` instance or dict with compatible properties histfunc Specifies the binning function used for this histogram trace. If "count", the histogram values are computed by counting the number of values lying inside each bin. If "sum", "avg", "min", "max", the histogram values are computed using the sum, the average, the minimum or the maximum of the values lying inside each bin respectively. histnorm Specifies the type of normalization used for this histogram trace. If "", the span of each bar corresponds to the number of occurrences (i.e. the number of data points lying inside the bins). If "percent" / "probability", the span of each bar corresponds to the percentage / fraction of occurrences with respect to the total number of sample points (here, the sum of all bin HEIGHTS equals 100% / 1). If "density", the span of each bar corresponds to the number of occurrences in a bin divided by the size of the bin interval (here, the sum of all bin AREAS equals the total number of sample points). If *probability density*, the area of each bar corresponds to the probability that an event will fall into the corresponding bin (here, the sum of all bin AREAS equals 1). hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.histogram.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variable `binNumber` Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Same as `text`. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. insidetextanchor Determines if texts are kept at center or start/end points in `textposition` "inside" mode. insidetextfont Sets the font used for `text` lying inside the bar. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.histogram.Legendgrouptitle ` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. marker :class:`plotly.graph_objects.histogram.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. nbinsx Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `xbins.size` is provided. nbinsy Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `ybins.size` is provided. offsetgroup Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up. opacity Sets the opacity of the trace. orientation Sets the orientation of the bars. With "v" ("h"), the value of the each bar spans along the vertical (horizontal). outsidetextfont Sets the font used for `text` lying outside the bar. selected :class:`plotly.graph_objects.histogram.Selected` instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stream :class:`plotly.graph_objects.histogram.Stream` instance or dict with compatible properties 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. textangle Sets the angle of the tick labels with respect to the bar. For example, a `tickangle` of -90 draws the tick labels vertically. With "auto" the texts may automatically be rotated to fit with the maximum size in bars. textfont Sets the text font. textposition Specifies the location of the `text`. "inside" positions `text` inside, next to the bar end (rotated and scaled if needed). "outside" positions `text` outside, next to the bar end (scaled if needed), unless there is another bar stacked on this one, then the text gets pushed inside. "auto" tries to position `text` inside the bar, but if the bar is too small and no bar is stacked on this one the text is moved outside. If "none", no text appears. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `label` and `value`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. unselected :class:`plotly.graph_objects.histogram.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). x Sets the sample data to be binned on the x axis. xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. xbins :class:`plotly.graph_objects.histogram.XBins` instance or dict with compatible properties xcalendar Sets the calendar system to use with `x` date data. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the sample data to be binned on the y axis. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. ybins :class:`plotly.graph_objects.histogram.YBins` instance or dict with compatible properties ycalendar Sets the calendar system to use with `y` date data. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. ysrc Sets the source reference on Chart Studio Cloud for `y`. zorder Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. """ def __init__( self, arg=None, alignmentgroup=None, autobinx=None, autobiny=None, bingroup=None, cliponaxis=None, constraintext=None, cumulative=None, customdata=None, customdatasrc=None, error_x=None, error_y=None, histfunc=None, histnorm=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, insidetextanchor=None, insidetextfont=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, marker=None, meta=None, metasrc=None, name=None, nbinsx=None, nbinsy=None, offsetgroup=None, opacity=None, orientation=None, outsidetextfont=None, selected=None, selectedpoints=None, showlegend=None, stream=None, text=None, textangle=None, textfont=None, textposition=None, textsrc=None, texttemplate=None, uid=None, uirevision=None, unselected=None, visible=None, x=None, xaxis=None, xbins=None, xcalendar=None, xhoverformat=None, xsrc=None, y=None, yaxis=None, ybins=None, ycalendar=None, yhoverformat=None, ysrc=None, zorder=None, **kwargs, ): """ Construct a new Histogram object The sample data from which statistics are computed is set in `x` for vertically spanning histograms and in `y` for horizontally spanning histograms. Binning options are set `xbins` and `ybins` respectively if no aggregation data is provided. Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.Histogram` alignmentgroup Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently. autobinx Obsolete: since v1.42 each bin attribute is auto- determined separately and `autobinx` is not needed. However, we accept `autobinx: true` or `false` and will update `xbins` accordingly before deleting `autobinx` from the trace. autobiny Obsolete: since v1.42 each bin attribute is auto- determined separately and `autobiny` is not needed. However, we accept `autobiny: true` or `false` and will update `ybins` accordingly before deleting `autobiny` from the trace. bingroup Set a group of histogram traces which will have compatible bin settings. Note that traces on the same subplot and with the same "orientation" under `barmode` "stack", "relative" and "group" are forced into the same bingroup, Using `bingroup`, traces under `barmode` "overlay" and on different axes (of the same axis type) can have compatible bin settings. Note that histogram and histogram2d* trace can share the same `bingroup` cliponaxis Determines whether the text nodes are clipped about the subplot axes. To show the text nodes above axis lines and tick labels, make sure to set `xaxis.layer` and `yaxis.layer` to *below traces*. constraintext Constrain the size of text inside or outside a bar to be no larger than the bar itself. cumulative :class:`plotly.graph_objects.histogram.Cumulative` instance or dict with compatible properties customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. error_x :class:`plotly.graph_objects.histogram.ErrorX` instance or dict with compatible properties error_y :class:`plotly.graph_objects.histogram.ErrorY` instance or dict with compatible properties histfunc Specifies the binning function used for this histogram trace. If "count", the histogram values are computed by counting the number of values lying inside each bin. If "sum", "avg", "min", "max", the histogram values are computed using the sum, the average, the minimum or the maximum of the values lying inside each bin respectively. histnorm Specifies the type of normalization used for this histogram trace. If "", the span of each bar corresponds to the number of occurrences (i.e. the number of data points lying inside the bins). If "percent" / "probability", the span of each bar corresponds to the percentage / fraction of occurrences with respect to the total number of sample points (here, the sum of all bin HEIGHTS equals 100% / 1). If "density", the span of each bar corresponds to the number of occurrences in a bin divided by the size of the bin interval (here, the sum of all bin AREAS equals the total number of sample points). If *probability density*, the area of each bar corresponds to the probability that an event will fall into the corresponding bin (here, the sum of all bin AREAS equals 1). hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.histogram.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variable `binNumber` Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Same as `text`. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. insidetextanchor Determines if texts are kept at center or start/end points in `textposition` "inside" mode. insidetextfont Sets the font used for `text` lying inside the bar. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.histogram.Legendgrouptitle ` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. marker :class:`plotly.graph_objects.histogram.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. nbinsx Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `xbins.size` is provided. nbinsy Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `ybins.size` is provided. offsetgroup Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up. opacity Sets the opacity of the trace. orientation Sets the orientation of the bars. With "v" ("h"), the value of the each bar spans along the vertical (horizontal). outsidetextfont Sets the font used for `text` lying outside the bar. selected :class:`plotly.graph_objects.histogram.Selected` instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stream :class:`plotly.graph_objects.histogram.Stream` instance or dict with compatible properties 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. textangle Sets the angle of the tick labels with respect to the bar. For example, a `tickangle` of -90 draws the tick labels vertically. With "auto" the texts may automatically be rotated to fit with the maximum size in bars. textfont Sets the text font. textposition Specifies the location of the `text`. "inside" positions `text` inside, next to the bar end (rotated and scaled if needed). "outside" positions `text` outside, next to the bar end (scaled if needed), unless there is another bar stacked on this one, then the text gets pushed inside. "auto" tries to position `text` inside the bar, but if the bar is too small and no bar is stacked on this one the text is moved outside. If "none", no text appears. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `label` and `value`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. unselected :class:`plotly.graph_objects.histogram.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). x Sets the sample data to be binned on the x axis. xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. xbins :class:`plotly.graph_objects.histogram.XBins` instance or dict with compatible properties xcalendar Sets the calendar system to use with `x` date data. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the sample data to be binned on the y axis. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. ybins :class:`plotly.graph_objects.histogram.YBins` instance or dict with compatible properties ycalendar Sets the calendar system to use with `y` date data. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. ysrc Sets the source reference on Chart Studio Cloud for `y`. zorder Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. Returns ------- Histogram """ super(Histogram, self).__init__("histogram") if "_parent" in kwargs: self._parent = kwargs["_parent"] return # 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.Histogram constructor must be a dict or an instance of :class:`plotly.graph_objs.Histogram`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) self._validate = kwargs.pop("_validate", True) # Populate data dict with properties # ---------------------------------- _v = arg.pop("alignmentgroup", None) _v = alignmentgroup if alignmentgroup is not None else _v if _v is not None: self["alignmentgroup"] = _v _v = arg.pop("autobinx", None) _v = autobinx if autobinx is not None else _v if _v is not None: self["autobinx"] = _v _v = arg.pop("autobiny", None) _v = autobiny if autobiny is not None else _v if _v is not None: self["autobiny"] = _v _v = arg.pop("bingroup", None) _v = bingroup if bingroup is not None else _v if _v is not None: self["bingroup"] = _v _v = arg.pop("cliponaxis", None) _v = cliponaxis if cliponaxis is not None else _v if _v is not None: self["cliponaxis"] = _v _v = arg.pop("constraintext", None) _v = constraintext if constraintext is not None else _v if _v is not None: self["constraintext"] = _v _v = arg.pop("cumulative", None) _v = cumulative if cumulative is not None else _v if _v is not None: self["cumulative"] = _v _v = arg.pop("customdata", None) _v = customdata if customdata is not None else _v if _v is not None: self["customdata"] = _v _v = arg.pop("customdatasrc", None) _v = customdatasrc if customdatasrc is not None else _v if _v is not None: self["customdatasrc"] = _v _v = arg.pop("error_x", None) _v = error_x if error_x is not None else _v if _v is not None: self["error_x"] = _v _v = arg.pop("error_y", None) _v = error_y if error_y is not None else _v if _v is not None: self["error_y"] = _v _v = arg.pop("histfunc", None) _v = histfunc if histfunc is not None else _v if _v is not None: self["histfunc"] = _v _v = arg.pop("histnorm", None) _v = histnorm if histnorm is not None else _v if _v is not None: self["histnorm"] = _v _v = arg.pop("hoverinfo", None) _v = hoverinfo if hoverinfo is not None else _v if _v is not None: self["hoverinfo"] = _v _v = arg.pop("hoverinfosrc", None) _v = hoverinfosrc if hoverinfosrc is not None else _v if _v is not None: self["hoverinfosrc"] = _v _v = arg.pop("hoverlabel", None) _v = hoverlabel if hoverlabel is not None else _v if _v is not None: self["hoverlabel"] = _v _v = arg.pop("hovertemplate", None) _v = hovertemplate if hovertemplate is not None else _v if _v is not None: self["hovertemplate"] = _v _v = arg.pop("hovertemplatesrc", None) _v = hovertemplatesrc if hovertemplatesrc is not None else _v if _v is not None: self["hovertemplatesrc"] = _v _v = arg.pop("hovertext", None) _v = hovertext if hovertext is not None else _v if _v is not None: self["hovertext"] = _v _v = arg.pop("hovertextsrc", None) _v = hovertextsrc if hovertextsrc is not None else _v if _v is not None: self["hovertextsrc"] = _v _v = arg.pop("ids", None) _v = ids if ids is not None else _v if _v is not None: self["ids"] = _v _v = arg.pop("idssrc", None) _v = idssrc if idssrc is not None else _v if _v is not None: self["idssrc"] = _v _v = arg.pop("insidetextanchor", None) _v = insidetextanchor if insidetextanchor is not None else _v if _v is not None: self["insidetextanchor"] = _v _v = arg.pop("insidetextfont", None) _v = insidetextfont if insidetextfont is not None else _v if _v is not None: self["insidetextfont"] = _v _v = arg.pop("legend", None) _v = legend if legend is not None else _v if _v is not None: self["legend"] = _v _v = arg.pop("legendgroup", None) _v = legendgroup if legendgroup is not None else _v if _v is not None: self["legendgroup"] = _v _v = arg.pop("legendgrouptitle", None) _v = legendgrouptitle if legendgrouptitle is not None else _v if _v is not None: self["legendgrouptitle"] = _v _v = arg.pop("legendrank", None) _v = legendrank if legendrank is not None else _v if _v is not None: self["legendrank"] = _v _v = arg.pop("legendwidth", None) _v = legendwidth if legendwidth is not None else _v if _v is not None: self["legendwidth"] = _v _v = arg.pop("marker", None) _v = marker if marker is not None else _v if _v is not None: self["marker"] = _v _v = arg.pop("meta", None) _v = meta if meta is not None else _v if _v is not None: self["meta"] = _v _v = arg.pop("metasrc", None) _v = metasrc if metasrc is not None else _v if _v is not None: self["metasrc"] = _v _v = arg.pop("name", None) _v = name if name is not None else _v if _v is not None: self["name"] = _v _v = arg.pop("nbinsx", None) _v = nbinsx if nbinsx is not None else _v if _v is not None: self["nbinsx"] = _v _v = arg.pop("nbinsy", None) _v = nbinsy if nbinsy is not None else _v if _v is not None: self["nbinsy"] = _v _v = arg.pop("offsetgroup", None) _v = offsetgroup if offsetgroup is not None else _v if _v is not None: self["offsetgroup"] = _v _v = arg.pop("opacity", None) _v = opacity if opacity is not None else _v if _v is not None: self["opacity"] = _v _v = arg.pop("orientation", None) _v = orientation if orientation is not None else _v if _v is not None: self["orientation"] = _v _v = arg.pop("outsidetextfont", None) _v = outsidetextfont if outsidetextfont is not None else _v if _v is not None: self["outsidetextfont"] = _v _v = arg.pop("selected", None) _v = selected if selected is not None else _v if _v is not None: self["selected"] = _v _v = arg.pop("selectedpoints", None) _v = selectedpoints if selectedpoints is not None else _v if _v is not None: self["selectedpoints"] = _v _v = arg.pop("showlegend", None) _v = showlegend if showlegend is not None else _v if _v is not None: self["showlegend"] = _v _v = arg.pop("stream", None) _v = stream if stream is not None else _v if _v is not None: self["stream"] = _v _v = arg.pop("text", None) _v = text if text is not None else _v if _v is not None: self["text"] = _v _v = arg.pop("textangle", None) _v = textangle if textangle is not None else _v if _v is not None: self["textangle"] = _v _v = arg.pop("textfont", None) _v = textfont if textfont is not None else _v if _v is not None: self["textfont"] = _v _v = arg.pop("textposition", None) _v = textposition if textposition is not None else _v if _v is not None: self["textposition"] = _v _v = arg.pop("textsrc", None) _v = textsrc if textsrc is not None else _v if _v is not None: self["textsrc"] = _v _v = arg.pop("texttemplate", None) _v = texttemplate if texttemplate is not None else _v if _v is not None: self["texttemplate"] = _v _v = arg.pop("uid", None) _v = uid if uid is not None else _v if _v is not None: self["uid"] = _v _v = arg.pop("uirevision", None) _v = uirevision if uirevision is not None else _v if _v is not None: self["uirevision"] = _v _v = arg.pop("unselected", None) _v = unselected if unselected is not None else _v if _v is not None: self["unselected"] = _v _v = arg.pop("visible", None) _v = visible if visible is not None else _v if _v is not None: self["visible"] = _v _v = arg.pop("x", None) _v = x if x is not None else _v if _v is not None: self["x"] = _v _v = arg.pop("xaxis", None) _v = xaxis if xaxis is not None else _v if _v is not None: self["xaxis"] = _v _v = arg.pop("xbins", None) _v = xbins if xbins is not None else _v if _v is not None: self["xbins"] = _v _v = arg.pop("xcalendar", None) _v = xcalendar if xcalendar is not None else _v if _v is not None: self["xcalendar"] = _v _v = arg.pop("xhoverformat", None) _v = xhoverformat if xhoverformat is not None else _v if _v is not None: self["xhoverformat"] = _v _v = arg.pop("xsrc", None) _v = xsrc if xsrc is not None else _v if _v is not None: self["xsrc"] = _v _v = arg.pop("y", None) _v = y if y is not None else _v if _v is not None: self["y"] = _v _v = arg.pop("yaxis", None) _v = yaxis if yaxis is not None else _v if _v is not None: self["yaxis"] = _v _v = arg.pop("ybins", None) _v = ybins if ybins is not None else _v if _v is not None: self["ybins"] = _v _v = arg.pop("ycalendar", None) _v = ycalendar if ycalendar is not None else _v if _v is not None: self["ycalendar"] = _v _v = arg.pop("yhoverformat", None) _v = yhoverformat if yhoverformat is not None else _v if _v is not None: self["yhoverformat"] = _v _v = arg.pop("ysrc", None) _v = ysrc if ysrc is not None else _v if _v is not None: self["ysrc"] = _v _v = arg.pop("zorder", None) _v = zorder if zorder is not None else _v if _v is not None: self["zorder"] = _v # Read-only literals # ------------------ self._props["type"] = "histogram" arg.pop("type", None) # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False