# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceType as _BaseTraceType import copy as _copy import warnings class Densitymapbox(_BaseTraceType): _parent_path_str = "" _path_str = "densitymapbox" _valid_props = { "autocolorscale", "below", "coloraxis", "colorbar", "colorscale", "customdata", "customdatasrc", "hoverinfo", "hoverinfosrc", "hoverlabel", "hovertemplate", "hovertemplatesrc", "hovertext", "hovertextsrc", "ids", "idssrc", "lat", "latsrc", "legend", "legendgroup", "legendgrouptitle", "legendrank", "legendwidth", "lon", "lonsrc", "meta", "metasrc", "name", "opacity", "radius", "radiussrc", "reversescale", "showlegend", "showscale", "stream", "subplot", "text", "textsrc", "type", "uid", "uirevision", "visible", "z", "zauto", "zmax", "zmid", "zmin", "zsrc", } @property def autocolorscale(self): """ Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `colorscale`. 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. The 'autocolorscale' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["autocolorscale"] @autocolorscale.setter def autocolorscale(self, val): self["autocolorscale"] = val @property def below(self): """ Determines if the densitymapbox trace will be inserted before the layer with the specified ID. By default, densitymapbox traces are placed below the first layer of type symbol If set to '', the layer will be inserted above every existing layer. The 'below' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["below"] @below.setter def below(self, val): self["below"] = val @property def coloraxis(self): """ 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. The 'coloraxis' property is an identifier of a particular subplot, of type 'coloraxis', that may be specified as the string 'coloraxis' optionally followed by an integer >= 1 (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.) Returns ------- str """ return self["coloraxis"] @coloraxis.setter def coloraxis(self, val): self["coloraxis"] = val @property def colorbar(self): """ The 'colorbar' property is an instance of ColorBar that may be specified as: - An instance of :class:`plotly.graph_objs.densitymapbox.ColorBar` - A dict of string/value properties that will be passed to the ColorBar constructor Returns ------- plotly.graph_objs.densitymapbox.ColorBar """ return self["colorbar"] @colorbar.setter def colorbar(self, val): self["colorbar"] = val @property def colorscale(self): """ Sets the colorscale. 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 `zmin` and `zmax`. 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,RdBu,Reds,Viridis, YlGnBu,YlOrRd. The 'colorscale' property is a colorscale and may be specified as: - A list of colors that will be spaced evenly to create the colorscale. Many predefined colorscale lists are included in the sequential, diverging, and cyclical modules in the plotly.colors package. - A list of 2-element lists where the first element is the normalized color level value (starting at 0 and ending at 1), and the second item is a valid color string. (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']]) - One of the following named colorscales: ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance', 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg', 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl', 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric', 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys', 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet', 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges', 'orrd', 'oryel', 'oxy', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg', 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor', 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy', 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral', 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose', 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'turbo', 'twilight', 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd']. Appending '_r' to a named colorscale reverses it. Returns ------- str """ return self["colorscale"] @colorscale.setter def colorscale(self, val): self["colorscale"] = val @property def customdata(self): """ Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements The 'customdata' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["customdata"] @customdata.setter def customdata(self, val): self["customdata"] = val @property def customdatasrc(self): """ Sets the source reference on Chart Studio Cloud for `customdata`. The 'customdatasrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["customdatasrc"] @customdatasrc.setter def customdatasrc(self, val): self["customdatasrc"] = val @property def 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 ['lon', 'lat', 'z', 'text', 'name'] joined with '+' characters (e.g. 'lon+lat') OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip') - A list or array of the above Returns ------- Any|numpy.ndarray """ return self["hoverinfo"] @hoverinfo.setter def hoverinfo(self, val): self["hoverinfo"] = val @property def hoverinfosrc(self): """ Sets the source reference on Chart Studio Cloud for `hoverinfo`. The 'hoverinfosrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["hoverinfosrc"] @hoverinfosrc.setter def hoverinfosrc(self, val): self["hoverinfosrc"] = val @property def hoverlabel(self): """ The 'hoverlabel' property is an instance of Hoverlabel that may be specified as: - An instance of :class:`plotly.graph_objs.densitymapbox.Hoverlabel` - A dict of string/value properties that will be passed to the Hoverlabel constructor Returns ------- plotly.graph_objs.densitymapbox.Hoverlabel """ return self["hoverlabel"] @hoverlabel.setter def hoverlabel(self, val): self["hoverlabel"] = val @property def hovertemplate(self): """ Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. 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. 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 @property def hovertemplatesrc(self): """ Sets the source reference on Chart Studio Cloud for `hovertemplate`. The 'hovertemplatesrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["hovertemplatesrc"] @hovertemplatesrc.setter def hovertemplatesrc(self, val): self["hovertemplatesrc"] = val @property def hovertext(self): """ Sets hover text elements associated with each (lon,lat) pair If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (lon,lat) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. The 'hovertext' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray """ return self["hovertext"] @hovertext.setter def hovertext(self, val): self["hovertext"] = val @property def hovertextsrc(self): """ Sets the source reference on Chart Studio Cloud for `hovertext`. The 'hovertextsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["hovertextsrc"] @hovertextsrc.setter def hovertextsrc(self, val): self["hovertextsrc"] = val @property def ids(self): """ Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. The 'ids' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["ids"] @ids.setter def ids(self, val): self["ids"] = val @property def idssrc(self): """ Sets the source reference on Chart Studio Cloud for `ids`. The 'idssrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["idssrc"] @idssrc.setter def idssrc(self, val): self["idssrc"] = val @property def lat(self): """ Sets the latitude coordinates (in degrees North). The 'lat' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["lat"] @lat.setter def lat(self, val): self["lat"] = val @property def latsrc(self): """ Sets the source reference on Chart Studio Cloud for `lat`. The 'latsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["latsrc"] @latsrc.setter def latsrc(self, val): self["latsrc"] = val @property def legend(self): """ Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. The 'legend' property is an identifier of a particular subplot, of type 'legend', that may be specified as the string 'legend' optionally followed by an integer >= 1 (e.g. 'legend', 'legend1', 'legend2', 'legend3', etc.) Returns ------- str """ return self["legend"] @legend.setter def legend(self, val): self["legend"] = val @property def legendgroup(self): """ Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. The 'legendgroup' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["legendgroup"] @legendgroup.setter def legendgroup(self, val): self["legendgroup"] = val @property def legendgrouptitle(self): """ The 'legendgrouptitle' property is an instance of Legendgrouptitle that may be specified as: - An instance of :class:`plotly.graph_objs.densitymapbox.Legendgrouptitle` - A dict of string/value properties that will be passed to the Legendgrouptitle constructor Returns ------- plotly.graph_objs.densitymapbox.Legendgrouptitle """ return self["legendgrouptitle"] @legendgrouptitle.setter def legendgrouptitle(self, val): self["legendgrouptitle"] = val @property def legendrank(self): """ Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. The 'legendrank' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["legendrank"] @legendrank.setter def legendrank(self, val): self["legendrank"] = val @property def legendwidth(self): """ Sets the width (in px or fraction) of the legend for this trace. The 'legendwidth' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["legendwidth"] @legendwidth.setter def legendwidth(self, val): self["legendwidth"] = val @property def lon(self): """ Sets the longitude coordinates (in degrees East). The 'lon' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["lon"] @lon.setter def lon(self, val): self["lon"] = val @property def lonsrc(self): """ Sets the source reference on Chart Studio Cloud for `lon`. The 'lonsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["lonsrc"] @lonsrc.setter def lonsrc(self, val): self["lonsrc"] = val @property def meta(self): """ Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. The 'meta' property accepts values of any type Returns ------- Any|numpy.ndarray """ return self["meta"] @meta.setter def meta(self, val): self["meta"] = val @property def metasrc(self): """ Sets the source reference on Chart Studio Cloud for `meta`. The 'metasrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["metasrc"] @metasrc.setter def metasrc(self, val): self["metasrc"] = val @property def name(self): """ Sets the trace name. The trace name appears as the legend item and on hover. The 'name' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["name"] @name.setter def name(self, val): self["name"] = val @property def opacity(self): """ Sets the opacity of the trace. The 'opacity' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- int|float """ return self["opacity"] @opacity.setter def opacity(self, val): self["opacity"] = val @property def radius(self): """ Sets the radius of influence of one `lon` / `lat` point in pixels. Increasing the value makes the densitymapbox trace smoother, but less detailed. The 'radius' property is a number and may be specified as: - An int or float in the interval [1, inf] - A tuple, list, or one-dimensional numpy array of the above Returns ------- int|float|numpy.ndarray """ return self["radius"] @radius.setter def radius(self, val): self["radius"] = val @property def radiussrc(self): """ Sets the source reference on Chart Studio Cloud for `radius`. The 'radiussrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["radiussrc"] @radiussrc.setter def radiussrc(self, val): self["radiussrc"] = val @property def reversescale(self): """ Reverses the color mapping if true. If true, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color. The 'reversescale' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["reversescale"] @reversescale.setter def reversescale(self, val): self["reversescale"] = val @property def showlegend(self): """ Determines whether or not an item corresponding to this trace is shown in the legend. The 'showlegend' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["showlegend"] @showlegend.setter def showlegend(self, val): self["showlegend"] = val @property def showscale(self): """ Determines whether or not a colorbar is displayed for this trace. The 'showscale' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["showscale"] @showscale.setter def showscale(self, val): self["showscale"] = val @property def stream(self): """ The 'stream' property is an instance of Stream that may be specified as: - An instance of :class:`plotly.graph_objs.densitymapbox.Stream` - A dict of string/value properties that will be passed to the Stream constructor Returns ------- plotly.graph_objs.densitymapbox.Stream """ return self["stream"] @stream.setter def stream(self, val): self["stream"] = val @property def subplot(self): """ mapbox subplots and traces are deprecated! Please consider switching to `map` subplots and traces. Learn more at: https://plotly.com/python/maplibre-migration/ as well as https://plotly.com/javascript/maplibre-migration/ Sets a reference between this trace's data coordinates and a mapbox subplot. If "mapbox" (the default value), the data refer to `layout.mapbox`. If "mapbox2", the data refer to `layout.mapbox2`, and so on. The 'subplot' property is an identifier of a particular subplot, of type 'mapbox', that may be specified as the string 'mapbox' optionally followed by an integer >= 1 (e.g. 'mapbox', 'mapbox1', 'mapbox2', 'mapbox3', etc.) Returns ------- str """ return self["subplot"] @subplot.setter def subplot(self, val): self["subplot"] = val @property def text(self): """ Sets text elements associated with each (lon,lat) pair If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (lon,lat) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. The 'text' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray """ return self["text"] @text.setter def text(self, val): self["text"] = val @property def textsrc(self): """ Sets the source reference on Chart Studio Cloud for `text`. The 'textsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["textsrc"] @textsrc.setter def textsrc(self, val): self["textsrc"] = val @property def uid(self): """ Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. The 'uid' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["uid"] @uid.setter def uid(self, val): self["uid"] = val @property def uirevision(self): """ Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. The 'uirevision' property accepts values of any type Returns ------- Any """ return self["uirevision"] @uirevision.setter def uirevision(self, val): self["uirevision"] = val @property def visible(self): """ Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). The 'visible' property is an enumeration that may be specified as: - One of the following enumeration values: [True, False, 'legendonly'] Returns ------- Any """ return self["visible"] @visible.setter def visible(self, val): self["visible"] = val @property def z(self): """ Sets the points' weight. For example, a value of 10 would be equivalent to having 10 points of weight 1 in the same spot The 'z' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["z"] @z.setter def z(self, val): self["z"] = val @property def zauto(self): """ Determines whether or not the color domain is computed with respect to the input data (here in `z`) or the bounds set in `zmin` and `zmax` Defaults to `false` when `zmin` and `zmax` are set by the user. The 'zauto' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["zauto"] @zauto.setter def zauto(self, val): self["zauto"] = val @property def zmax(self): """ Sets the upper bound of the color domain. Value should have the same units as in `z` and if set, `zmin` must be set as well. The 'zmax' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["zmax"] @zmax.setter def zmax(self, val): self["zmax"] = val @property def zmid(self): """ Sets the mid-point of the color domain by scaling `zmin` and/or `zmax` to be equidistant to this point. Value should have the same units as in `z`. Has no effect when `zauto` is `false`. The 'zmid' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["zmid"] @zmid.setter def zmid(self, val): self["zmid"] = val @property def zmin(self): """ Sets the lower bound of the color domain. Value should have the same units as in `z` and if set, `zmax` must be set as well. The 'zmin' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["zmin"] @zmin.setter def zmin(self, val): self["zmin"] = val @property def zsrc(self): """ Sets the source reference on Chart Studio Cloud for `z`. The 'zsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["zsrc"] @zsrc.setter def zsrc(self, val): self["zsrc"] = val @property def type(self): return self._props["type"] @property def _prop_descriptions(self): return """\ autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `colorscale`. 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. below Determines if the densitymapbox trace will be inserted before the layer with the specified ID. By default, densitymapbox traces are placed below the first layer of type symbol If set to '', the layer will be inserted above every existing layer. 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.densitymapbox.ColorBar` instance or dict with compatible properties colorscale Sets the colorscale. 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 `zmin` and `zmax`. Alternatively, `colorscale` may be a palette name string of the following list: Blackbody,Bluered,Blues,C ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd. 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`. 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.densitymapbox.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. 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 Sets hover text elements associated with each (lon,lat) pair If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (lon,lat) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. 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`. lat Sets the latitude coordinates (in degrees North). latsrc Sets the source reference on Chart Studio Cloud for `lat`. 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.densitymapbox.Legendgroupt itle` 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. lon Sets the longitude coordinates (in degrees East). lonsrc Sets the source reference on Chart Studio Cloud for `lon`. 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. opacity Sets the opacity of the trace. radius Sets the radius of influence of one `lon` / `lat` point in pixels. Increasing the value makes the densitymapbox trace smoother, but less detailed. radiussrc Sets the source reference on Chart Studio Cloud for `radius`. reversescale Reverses the color mapping if true. If true, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. showscale Determines whether or not a colorbar is displayed for this trace. stream :class:`plotly.graph_objects.densitymapbox.Stream` instance or dict with compatible properties subplot mapbox subplots and traces are deprecated! Please consider switching to `map` subplots and traces. Learn more at: https://plotly.com/python/maplibre-migration/ as well as https://plotly.com/javascript/maplibre- migration/ Sets a reference between this trace's data coordinates and a mapbox subplot. If "mapbox" (the default value), the data refer to `layout.mapbox`. If "mapbox2", the data refer to `layout.mapbox2`, and so on. text Sets text elements associated with each (lon,lat) pair If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (lon,lat) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textsrc Sets the source reference on Chart Studio Cloud for `text`. 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. 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). z Sets the points' weight. For example, a value of 10 would be equivalent to having 10 points of weight 1 in the same spot zauto Determines whether or not the color domain is computed with respect to the input data (here in `z`) or the bounds set in `zmin` and `zmax` Defaults to `false` when `zmin` and `zmax` are set by the user. zmax Sets the upper bound of the color domain. Value should have the same units as in `z` and if set, `zmin` must be set as well. zmid Sets the mid-point of the color domain by scaling `zmin` and/or `zmax` to be equidistant to this point. Value should have the same units as in `z`. Has no effect when `zauto` is `false`. zmin Sets the lower bound of the color domain. Value should have the same units as in `z` and if set, `zmax` must be set as well. zsrc Sets the source reference on Chart Studio Cloud for `z`. """ def __init__( self, arg=None, autocolorscale=None, below=None, coloraxis=None, colorbar=None, colorscale=None, customdata=None, customdatasrc=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, lat=None, latsrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, lon=None, lonsrc=None, meta=None, metasrc=None, name=None, opacity=None, radius=None, radiussrc=None, reversescale=None, showlegend=None, showscale=None, stream=None, subplot=None, text=None, textsrc=None, uid=None, uirevision=None, visible=None, z=None, zauto=None, zmax=None, zmid=None, zmin=None, zsrc=None, **kwargs, ): """ Construct a new Densitymapbox object "densitymapbox" trace is deprecated! Please consider switching to the "densitymap" trace type and `map` subplots. Learn more at: https://plotly.com/python/maplibre-migration/ as well as https://plotly.com/javascript/maplibre-migration/ Draws a bivariate kernel density estimation with a Gaussian kernel from `lon` and `lat` coordinates and optional `z` values using a colorscale. Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.Densitymapbox` autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `colorscale`. 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. below Determines if the densitymapbox trace will be inserted before the layer with the specified ID. By default, densitymapbox traces are placed below the first layer of type symbol If set to '', the layer will be inserted above every existing layer. 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.densitymapbox.ColorBar` instance or dict with compatible properties colorscale Sets the colorscale. 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 `zmin` and `zmax`. Alternatively, `colorscale` may be a palette name string of the following list: Blackbody,Bluered,Blues,C ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd. 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`. 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.densitymapbox.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. 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 Sets hover text elements associated with each (lon,lat) pair If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (lon,lat) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. 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`. lat Sets the latitude coordinates (in degrees North). latsrc Sets the source reference on Chart Studio Cloud for `lat`. 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.densitymapbox.Legendgroupt itle` 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. lon Sets the longitude coordinates (in degrees East). lonsrc Sets the source reference on Chart Studio Cloud for `lon`. 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. opacity Sets the opacity of the trace. radius Sets the radius of influence of one `lon` / `lat` point in pixels. Increasing the value makes the densitymapbox trace smoother, but less detailed. radiussrc Sets the source reference on Chart Studio Cloud for `radius`. reversescale Reverses the color mapping if true. If true, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. showscale Determines whether or not a colorbar is displayed for this trace. stream :class:`plotly.graph_objects.densitymapbox.Stream` instance or dict with compatible properties subplot mapbox subplots and traces are deprecated! Please consider switching to `map` subplots and traces. Learn more at: https://plotly.com/python/maplibre-migration/ as well as https://plotly.com/javascript/maplibre- migration/ Sets a reference between this trace's data coordinates and a mapbox subplot. If "mapbox" (the default value), the data refer to `layout.mapbox`. If "mapbox2", the data refer to `layout.mapbox2`, and so on. text Sets text elements associated with each (lon,lat) pair If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (lon,lat) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textsrc Sets the source reference on Chart Studio Cloud for `text`. 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. 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). z Sets the points' weight. For example, a value of 10 would be equivalent to having 10 points of weight 1 in the same spot zauto Determines whether or not the color domain is computed with respect to the input data (here in `z`) or the bounds set in `zmin` and `zmax` Defaults to `false` when `zmin` and `zmax` are set by the user. zmax Sets the upper bound of the color domain. Value should have the same units as in `z` and if set, `zmin` must be set as well. zmid Sets the mid-point of the color domain by scaling `zmin` and/or `zmax` to be equidistant to this point. Value should have the same units as in `z`. Has no effect when `zauto` is `false`. zmin Sets the lower bound of the color domain. Value should have the same units as in `z` and if set, `zmax` must be set as well. zsrc Sets the source reference on Chart Studio Cloud for `z`. Returns ------- Densitymapbox """ super().__init__("densitymapbox") if "_parent" in kwargs: self._parent = kwargs["_parent"] return if arg is None: arg = {} elif isinstance(arg, self.__class__): arg = arg.to_plotly_json() elif isinstance(arg, dict): arg = _copy.copy(arg) else: raise ValueError("""\ The first argument to the plotly.graph_objs.Densitymapbox constructor must be a dict or an instance of :class:`plotly.graph_objs.Densitymapbox`""") self._skip_invalid = kwargs.pop("skip_invalid", False) self._validate = kwargs.pop("_validate", True) self._set_property("autocolorscale", arg, autocolorscale) self._set_property("below", arg, below) self._set_property("coloraxis", arg, coloraxis) self._set_property("colorbar", arg, colorbar) self._set_property("colorscale", arg, colorscale) self._set_property("customdata", arg, customdata) self._set_property("customdatasrc", arg, customdatasrc) self._set_property("hoverinfo", arg, hoverinfo) self._set_property("hoverinfosrc", arg, hoverinfosrc) self._set_property("hoverlabel", arg, hoverlabel) self._set_property("hovertemplate", arg, hovertemplate) self._set_property("hovertemplatesrc", arg, hovertemplatesrc) self._set_property("hovertext", arg, hovertext) self._set_property("hovertextsrc", arg, hovertextsrc) self._set_property("ids", arg, ids) self._set_property("idssrc", arg, idssrc) self._set_property("lat", arg, lat) self._set_property("latsrc", arg, latsrc) self._set_property("legend", arg, legend) self._set_property("legendgroup", arg, legendgroup) self._set_property("legendgrouptitle", arg, legendgrouptitle) self._set_property("legendrank", arg, legendrank) self._set_property("legendwidth", arg, legendwidth) self._set_property("lon", arg, lon) self._set_property("lonsrc", arg, lonsrc) self._set_property("meta", arg, meta) self._set_property("metasrc", arg, metasrc) self._set_property("name", arg, name) self._set_property("opacity", arg, opacity) self._set_property("radius", arg, radius) self._set_property("radiussrc", arg, radiussrc) self._set_property("reversescale", arg, reversescale) self._set_property("showlegend", arg, showlegend) self._set_property("showscale", arg, showscale) self._set_property("stream", arg, stream) self._set_property("subplot", arg, subplot) self._set_property("text", arg, text) self._set_property("textsrc", arg, textsrc) self._set_property("uid", arg, uid) self._set_property("uirevision", arg, uirevision) self._set_property("visible", arg, visible) self._set_property("z", arg, z) self._set_property("zauto", arg, zauto) self._set_property("zmax", arg, zmax) self._set_property("zmid", arg, zmid) self._set_property("zmin", arg, zmin) self._set_property("zsrc", arg, zsrc) self._props["type"] = "densitymapbox" arg.pop("type", None) self._process_kwargs(**dict(arg, **kwargs)) self._skip_invalid = False warnings.warn( "*densitymapbox* is deprecated!" + " Use *densitymap* instead." + " Learn more at: https://plotly.com/python/mapbox-to-maplibre/", stacklevel=2, category=DeprecationWarning, )