[6g6ddlmZddlZGddeZdS)) BaseTraceTypeNc^eZdZdZdZhdZedZejdZedZ e jdZ edZ e jd Z ed Z e jd Z ed Z e jd Z edZ e jdZ edZejdZedZejdZedZejdZedZejdZedZejdZedZejdZedZejdZedZejdZed Zejd!Zed"Zejd#Zed$Zejd%Zed&Zejd'Zed(Zejd)Zed*Zejd+Zed,Zejd-Zed.Zejd/Zed0Zejd1Zed2Zejd3Zed4Z e jd5Z ed6Z!e!jd7Z!ed8Z"e"jd9Z"ed:Z#e#jd;Z#ed<Z$e$jd=Z$ed>Z%e%jd?Z%ed@Z&e&jdAZ&edBZ'e'jdCZ'edDZ(e(jdEZ(edFZ)e)jdGZ)edHZ*e*jdIZ*edJZ+e+jdKZ+edLZ,e,jdMZ,edNZ-e-jdOZ-edPZ.e.jdQZ.edRZ/e/jdSZ/edTZ0e0jdUZ0edVZ1e1jdWZ1edXZ2e2jdYZ2edZZ3e3jd[Z3ed\Z4e4jd]Z4ed^Z5e5jd_Z5ed`Z6e6jdaZ6edbZ7e7jdcZ7eddZ8e8jdeZ8edfZ9e9jdgZ9edhZ:e:jdiZ:edjZ;e;jdkZ;edlZe>jdqZ>edrZ?e?jdsZ?edtZ@e@jduZ@edvZAeAjdwZAedxZBeBjdyZBedzZCeCjd{ZCed|ZDeDjd}ZDed~ZEeEjdZEedZFeFjdZFedZGeGjdZGedZHedZI dfd ZJxZKS)Histogram2dContourhistogram2dcontour>Axyzidsuidlinemetanametypexsrcysrczmaxzmidzminzsrcxaxisxbinsyaxisybinszautoidssrclegendmarkernbinsxnbinsystreammetasrcopacityvisibleautobinxautobinybingroupcolorbarcontourshistfunchistnormtextfont coloraxis hoverinfo ncontours showscale xbingroup xcalendar ybingroup ycalendar colorscale customdata hoverlabel legendrank showlegend uirevision autocontour legendgroup legendwidth hoverinfosrc reversescale texttemplate xhoverformat yhoverformat zhoverformat customdatasrc hovertemplateautocolorscalehovertemplatesrclegendgrouptitlec|dS)a 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 r%selfs d/var/www/surfInsights/venv3-11/lib/python3.11/site-packages/plotly/graph_objs/_histogram2dcontour.pyr%zHistogram2dContour.autobinxQJc||d<dS)Nr%rJrLvals rMr%zHistogram2dContour.autobinxbZrOc|dS)a 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 r&rJrKs rMr&zHistogram2dContour.autobinyhrNrOc||d<dS)Nr&rJrQs rMr&zHistogram2dContour.autobinyyrSrOc|dS)a 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 rFrJrKs rMrFz!Histogram2dContour.autocolorscales"$%%rOc||d<dS)NrFrJrQs rMrFz!Histogram2dContour.autocolorscales!$ rOc|dS)a Determines whether or not the contour level attributes are picked by an algorithm. If True, the number of contour levels can be set in `ncontours`. If False, set the contour level attributes in `contours`. The 'autocontour' property must be specified as a bool (either True, or False) Returns ------- bool r;rJrKs rMr;zHistogram2dContour.autocontourM""rOc||d<dS)Nr;rJrQs rMr;zHistogram2dContour.autocontour!]rOc|dS)a Set the `xbingroup` and `ybingroup` default prefix For example, setting a `bingroup` of 1 on two histogram2d traces will make them their x-bins and y-bins match separately. The 'bingroup' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str r'rJrKs rMr'zHistogram2dContour.bingrouprNrOc||d<dS)Nr'rJrQs rMr'zHistogram2dContour.bingrouprSrOc|dS)a 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 r-rJrKs rMr-zHistogram2dContour.coloraxiss&K  rOc||d<dS)Nr-rJrQs rMr-zHistogram2dContour.coloraxis[rOc|dS)u= The 'colorbar' property is an instance of ColorBar that may be specified as: - An instance of :class:`plotly.graph_objs.histogram2dcontour.ColorBar` - A dict of string/value properties that will be passed to the ColorBar constructor Supported dict properties: bgcolor Sets the color of padded area. bordercolor Sets the axis line color. borderwidth Sets the width (in px) or the border enclosing this color bar. dtick Sets the step in-between ticks on this axis. Use with `tick0`. Must be a positive number, or special strings available to "log" and "date" axes. If the axis `type` is "log", then ticks are set every 10^(n*dtick) where n is the tick number. For example, to set a tick mark at 1, 10, 100, 1000, ... set dtick to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2. To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to log_10(5), or 0.69897000433. "log" has several special values; "L", where `f` is a positive number, gives ticks linearly spaced in value (but not position). For example `tick0` = 0.1, `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus small digits between, use "D1" (all digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and "D2". If the axis `type` is "date", then you must convert the time to milliseconds. For example, to set the interval between ticks to one day, set `dtick` to 86400000.0. "date" also has special values "M" gives ticks spaced by a number of months. `n` must be a positive integer. To set ticks on the 15th of every third month, set `tick0` to "2000-01-15" and `dtick` to "M3". To set ticks every 4 years, set `dtick` to "M48" exponentformat Determines a formatting rule for the tick exponents. For example, consider the number 1,000,000,000. If "none", it appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If "B", 1B. labelalias Replacement text for specific tick or hover labels. For example using {US: 'USA', CA: 'Canada'} changes US to USA and CA to Canada. The labels we would have shown must match the keys exactly, after adding any tickprefix or ticksuffix. For negative numbers the minus sign symbol used (U+2212) is wider than the regular ascii dash. That means you need to use −1 instead of -1. labelalias can be used with any axis type, and both keys (if needed) and values (if desired) can include html-like tags or MathJax. len Sets the length of the color bar This measure excludes the padding of both ends. That is, the color bar length is this length minus the padding on both ends. lenmode Determines whether this color bar's length (i.e. the measure in the color variation direction) is set in units of plot "fraction" or in *pixels. Use `len` to set the value. minexponent Hide SI prefix for 10^n if |n| is below this number. This only has an effect when `tickformat` is "SI" or "B". nticks Specifies the maximum number of ticks for the particular axis. The actual number of ticks will be chosen automatically to be less than or equal to `nticks`. Has an effect only if `tickmode` is set to "auto". orientation Sets the orientation of the colorbar. outlinecolor Sets the axis line color. outlinewidth Sets the width (in px) of the axis line. separatethousands If "true", even 4-digit integers are separated showexponent If "all", all exponents are shown besides their significands. If "first", only the exponent of the first tick is shown. If "last", only the exponent of the last tick is shown. If "none", no exponents appear. showticklabels Determines whether or not the tick labels are drawn. showtickprefix If "all", all tick labels are displayed with a prefix. If "first", only the first tick is displayed with a prefix. If "last", only the last tick is displayed with a suffix. If "none", tick prefixes are hidden. showticksuffix Same as `showtickprefix` but for tick suffixes. thickness Sets the thickness of the color bar This measure excludes the size of the padding, ticks and labels. thicknessmode Determines whether this color bar's thickness (i.e. the measure in the constant color direction) is set in units of plot "fraction" or in "pixels". Use `thickness` to set the value. tick0 Sets the placement of the first tick on this axis. Use with `dtick`. If the axis `type` is "log", then you must take the log of your starting tick (e.g. to set the starting tick to 100, set the `tick0` to 2) except when `dtick`=*L* (see `dtick` for more info). If the axis `type` is "date", it should be a date string, like date data. If the axis `type` is "category", it should be a number, using the scale where each category is assigned a serial number from zero in the order it appears. tickangle Sets the angle of the tick labels with respect to the horizontal. For example, a `tickangle` of -90 draws the tick labels vertically. tickcolor Sets the tick color. tickfont Sets the color bar's tick label font tickformat Sets the tick label formatting rule using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: h ttps://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" tickformatstops A tuple of :class:`plotly.graph_objects.histogr am2dcontour.colorbar.Tickformatstop` instances or dicts with compatible properties tickformatstopdefaults When used in a template (as layout.template.dat a.histogram2dcontour.colorbar.tickformatstopdef aults), sets the default property values to use for elements of histogram2dcontour.colorbar.tickformatstops ticklabeloverflow Determines how we handle tick labels that would overflow either the graph div or the domain of the axis. The default value for inside tick labels is *hide past domain*. In other cases the default is *hide past div*. ticklabelposition Determines where tick labels are drawn relative to the ticks. Left and right options are used when `orientation` is "h", top and bottom when `orientation` is "v". ticklabelstep Sets the spacing between tick labels as compared to the spacing between ticks. A value of 1 (default) means each tick gets a label. A value of 2 means shows every 2nd label. A larger value n means only every nth tick is labeled. `tick0` determines which labels are shown. Not implemented for axes with `type` "log" or "multicategory", or when `tickmode` is "array". ticklen Sets the tick length (in px). tickmode Sets the tick mode for this axis. If "auto", the number of ticks is set via `nticks`. If "linear", the placement of the ticks is determined by a starting position `tick0` and a tick step `dtick` ("linear" is the default value if `tick0` and `dtick` are provided). If "array", the placement of the ticks is set via `tickvals` and the tick text is `ticktext`. ("array" is the default value if `tickvals` is provided). tickprefix Sets a tick label prefix. ticks Determines whether ticks are drawn or not. If "", this axis' ticks are not drawn. If "outside" ("inside"), this axis' are drawn outside (inside) the axis lines. ticksuffix Sets a tick label suffix. ticktext Sets the text displayed at the ticks position via `tickvals`. Only has an effect if `tickmode` is set to "array". Used with `tickvals`. ticktextsrc Sets the source reference on Chart Studio Cloud for `ticktext`. tickvals Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`. tickvalssrc Sets the source reference on Chart Studio Cloud for `tickvals`. tickwidth Sets the tick width (in px). title :class:`plotly.graph_objects.histogram2dcontour .colorbar.Title` instance or dict with compatible properties titlefont Deprecated: Please use histogram2dcontour.colorbar.title.font instead. Sets this color bar's title font. Note that the title's font used to be set by the now deprecated `titlefont` attribute. titleside Deprecated: Please use histogram2dcontour.colorbar.title.side instead. Determines the location of color bar's title with respect to the color bar. Defaults to "top" when `orientation` if "v" and defaults to "right" when `orientation` if "h". Note that the title's location used to be set by the now deprecated `titleside` attribute. x Sets the x position with respect to `xref` of the color bar (in plot fraction). When `xref` is "paper", defaults to 1.02 when `orientation` is "v" and 0.5 when `orientation` is "h". When `xref` is "container", defaults to 1 when `orientation` is "v" and 0.5 when `orientation` is "h". Must be between 0 and 1 if `xref` is "container" and between "-2" and 3 if `xref` is "paper". xanchor Sets this color bar's horizontal position anchor. This anchor binds the `x` position to the "left", "center" or "right" of the color bar. Defaults to "left" when `orientation` is "v" and "center" when `orientation` is "h". xpad Sets the amount of padding (in px) along the x direction. xref Sets the container `x` refers to. "container" spans the entire `width` of the plot. "paper" refers to the width of the plotting area only. y Sets the y position with respect to `yref` of the color bar (in plot fraction). When `yref` is "paper", defaults to 0.5 when `orientation` is "v" and 1.02 when `orientation` is "h". When `yref` is "container", defaults to 0.5 when `orientation` is "v" and 1 when `orientation` is "h". Must be between 0 and 1 if `yref` is "container" and between "-2" and 3 if `yref` is "paper". yanchor Sets this color bar's vertical position anchor This anchor binds the `y` position to the "top", "middle" or "bottom" of the color bar. Defaults to "middle" when `orientation` is "v" and "bottom" when `orientation` is "h". ypad Sets the amount of padding (in px) along the y direction. yref Sets the container `y` refers to. "container" spans the entire `height` of the plot. "paper" refers to the height of the plotting area only. Returns ------- plotly.graph_objs.histogram2dcontour.ColorBar r(rJrKs rMr(zHistogram2dContour.colorbarsN JrOc||d<dS)Nr(rJrQs rMr(zHistogram2dContour.colorbar rSrOc|dS)a 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 r5rJrKs rMr5zHistogram2dContour.colorscalesZL!!rOc||d<dS)Nr5rJrQs rMr5zHistogram2dContour.colorscale? \rOc|dS)a The 'contours' property is an instance of Contours that may be specified as: - An instance of :class:`plotly.graph_objs.histogram2dcontour.Contours` - A dict of string/value properties that will be passed to the Contours constructor Supported dict properties: coloring Determines the coloring method showing the contour values. If "fill", coloring is done evenly between each contour level If "heatmap", a heatmap gradient coloring is applied between each contour level. If "lines", coloring is done on the contour lines. If "none", no coloring is applied on this trace. end Sets the end contour level value. Must be more than `contours.start` labelfont Sets the font used for labeling the contour levels. The default color comes from the lines, if shown. The default family and size come from `layout.font`. labelformat Sets the contour label formatting rule using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: h ttps://github.com/d3/d3-format/tree/v1.4.5#d3- format. operation Sets the constraint operation. "=" keeps regions equal to `value` "<" and "<=" keep regions less than `value` ">" and ">=" keep regions greater than `value` "[]", "()", "[)", and "(]" keep regions inside `value[0]` to `value[1]` "][", ")(", "](", ")[" keep regions outside `value[0]` to value[1]` Open vs. closed intervals make no difference to constraint display, but all versions are allowed for consistency with filter transforms. showlabels Determines whether to label the contour lines with their values. showlines Determines whether or not the contour lines are drawn. Has an effect only if `contours.coloring` is set to "fill". size Sets the step between each contour level. Must be positive. start Sets the starting contour level value. Must be less than `contours.end` type If `levels`, the data is represented as a contour plot with multiple levels displayed. If `constraint`, the data is represented as constraints with the invalid region shaded as specified by the `operation` and `value` parameters. value Sets the value or values of the constraint boundary. When `operation` is set to one of the comparison values (=,<,>=,>,<=) "value" is expected to be a number. When `operation` is set to one of the interval values ([],(),[),(],][,)(,](,)[) "value" is expected to be an array of two numbers where the first is the lower bound and the second is the upper bound. Returns ------- plotly.graph_objs.histogram2dcontour.Contours r)rJrKs rMr)zHistogram2dContour.contoursEs^JrOc||d<dS)Nr)rJrQs rMr)zHistogram2dContour.contoursrSrOc|dS)a 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 r6rJrKs rMr6zHistogram2dContour.customdatasL!!rOc||d<dS)Nr6rJrQs rMr6zHistogram2dContour.customdatarerOc|dS)z 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 rDrJrKs rMrDz Histogram2dContour.customdatasrcsO$$rOc||d<dS)NrDrJrQs rMrDz Histogram2dContour.customdatasrc #_rOc|dS)al 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 r*rJrKs rMr*zHistogram2dContour.histfuncs$JrOc||d<dS)Nr*rJrQs rMr*zHistogram2dContour.histfuncrSrOc|dS)a 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 r+rJrKs rMr+zHistogram2dContour.histnorms4JrOc||d<dS)Nr+rJrQs rMr+zHistogram2dContour.histnormrSrOc|dS)a\ 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 r.rJrKs rMr.zHistogram2dContour.hoverinfos$K  rOc||d<dS)Nr.rJrQs rMr.zHistogram2dContour.hoverinfor`rOc|dS)z 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 r>rJrKs rMr>zHistogram2dContour.hoverinfosrcsN##rOc||d<dS)Nr>rJrQs rMr>zHistogram2dContour.hoverinfosrc-"^rOc|dS)a2 The 'hoverlabel' property is an instance of Hoverlabel that may be specified as: - An instance of :class:`plotly.graph_objs.histogram2dcontour.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.histogram2dcontour.Hoverlabel r7rJrKs rMr7zHistogram2dContour.hoverlabel3sfL!!rOc||d<dS)Nr7rJrQs rMr7zHistogram2dContour.hoverlabelhrerOc|dS)a_ 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 `z` 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 rErJrKs rMrEz Histogram2dContour.hovertemplatensJO$$rOc||d<dS)NrErJrQs rMrEz Histogram2dContour.hovertemplaterlrOc|dS)a 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 rGrJrKs rMrGz#Histogram2dContour.hovertemplatesrcs&''rOc||d<dS)NrGrJrQs rMrGz#Histogram2dContour.hovertemplatesrc#&    rOc|dS)am 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 r rJrKs rMr zHistogram2dContour.idsE{rOc||d<dS)Nr rJrQs rMr zHistogram2dContour.idsU rOc|dS)z 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 rrJrKs rMrzHistogram2dContour.idssrcsH~rOc||d<dS)NrrJrQs rMrzHistogram2dContour.idssrcXrOc|dS)a/ 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 rrJrKs rMrzHistogram2dContour.legends"H~rOc||d<dS)NrrJrQs rMrzHistogram2dContour.legendrrOc|dS)ar 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 r<rJrKs rMr<zHistogram2dContour.legendgrouprYrOc||d<dS)Nr<rJrQs rMr<zHistogram2dContour.legendgroupr[rOc|dS)ae The 'legendgrouptitle' property is an instance of Legendgrouptitle that may be specified as: - An instance of :class:`plotly.graph_objs.histogram2dcontour.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.histogram2dcontour.Legendgrouptitle rHrJrKs rMrHz#Histogram2dContour.legendgrouptitle s(&''rOc||d<dS)NrHrJrQs rMrHz#Histogram2dContour.legendgrouptitle r|rOc|dS)a 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 r8rJrKs rMr8zHistogram2dContour.legendrank&s&L!!rOc||d<dS)Nr8rJrQs rMr8zHistogram2dContour.legendrank;rerOc|dS)a  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 r=rJrKs rMr=zHistogram2dContour.legendwidthAsM""rOc||d<dS)Nr=rJrQs rMr=zHistogram2dContour.legendwidthPr[rOc|dS)a= The 'line' property is an instance of Line that may be specified as: - An instance of :class:`plotly.graph_objs.histogram2dcontour.Line` - A dict of string/value properties that will be passed to the Line constructor Supported dict properties: color Sets the color of the contour level. Has no effect if `contours.coloring` is set to "lines". dash Sets the dash style of lines. Set to a dash type string ("solid", "dot", "dash", "longdash", "dashdot", or "longdashdot") or a dash length list in px (eg "5px,10px,2px,2px"). smoothing Sets the amount of smoothing for the contour lines, where 0 corresponds to no smoothing. width Sets the contour line width in (in px) Returns ------- plotly.graph_objs.histogram2dcontour.Line r rJrKs rMr zHistogram2dContour.lineVs<F|rOc||d<dS)Nr rJrQs rMr zHistogram2dContour.linevV rOc|dS)a[ The 'marker' property is an instance of Marker that may be specified as: - An instance of :class:`plotly.graph_objs.histogram2dcontour.Marker` - A dict of string/value properties that will be passed to the Marker constructor Supported dict properties: color Sets the aggregation data. colorsrc Sets the source reference on Chart Studio Cloud for `color`. Returns ------- plotly.graph_objs.histogram2dcontour.Marker rrJrKs rMrzHistogram2dContour.marker|s*H~rOc||d<dS)NrrJrQs rMrzHistogram2dContour.markerrrOc|dS)a 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 rrJrKs rMrzHistogram2dContour.metas(F|rOc||d<dS)NrrJrQs rMrzHistogram2dContour.metarrOc|dS)z 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 r"rJrKs rMr"zHistogram2dContour.metasrcIrOc||d<dS)Nr"rJrQs rMr"zHistogram2dContour.metasrcYrOc|dS)a# 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 rrJrKs rMrzHistogram2dContour.nameF|rOc||d<dS)NrrJrQs rMrzHistogram2dContour.namerrOc|dS)a 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 rrJrKs rMrzHistogram2dContour.nbinsx H~rOc||d<dS)NrrJrQs rMrzHistogram2dContour.nbinsxrrOc|dS)a 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 r rJrKs rMr zHistogram2dContour.nbinsyrrOc||d<dS)Nr rJrQs rMr zHistogram2dContour.nbinsy rrOc|dS)a Sets the maximum number of contour levels. The actual number of contours will be chosen automatically to be less than or equal to the value of `ncontours`. Has an effect only if `autocontour` is True or if `contours.size` is missing. The 'ncontours' property is a integer and may be specified as: - An int (or float that will be cast to an int) in the interval [1, 9223372036854775807] Returns ------- int r/rJrKs rMr/zHistogram2dContour.ncontours K  rOc||d<dS)Nr/rJrQs rMr/zHistogram2dContour.ncontours!r`rOc|dS)z 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 r#rJrKs rMr#zHistogram2dContour.opacity'rrOc||d<dS)Nr#rJrQs rMr#zHistogram2dContour.opacity5rrOc|dS)aB 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 r?rJrKs rMr?zHistogram2dContour.reversescale;sN##rOc||d<dS)Nr?rJrQs rMr?zHistogram2dContour.reversescaleKrurOc|dS)z 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 r9rJrKs rMr9zHistogram2dContour.showlegendQsL!!rOc||d<dS)Nr9rJrQs rMr9zHistogram2dContour.showlegend`rerOc|dS)z 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 r0rJrKs rMr0zHistogram2dContour.showscalefsK  rOc||d<dS)Nr0rJrQs rMr0zHistogram2dContour.showscaleur`rOc|dS)a{ The 'stream' property is an instance of Stream that may be specified as: - An instance of :class:`plotly.graph_objs.histogram2dcontour.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.histogram2dcontour.Stream r!rJrKs rMr!zHistogram2dContour.stream{s2H~rOc||d<dS)Nr!rJrQs rMr!zHistogram2dContour.streamrrOc|dS)a For this trace it only has an effect if `coloring` is set to "heatmap". Sets the text font. The 'textfont' property is an instance of Textfont that may be specified as: - An instance of :class:`plotly.graph_objs.histogram2dcontour.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.histogram2dcontour.Textfont r,rJrKs rMr,zHistogram2dContour.textfonts|JrOc||d<dS)Nr,rJrQs rMr,zHistogram2dContour.textfontrSrOc|dS)a For this trace it only has an effect if `coloring` is set to "heatmap". 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 `x`, `y`, `z` and `text`. The 'texttemplate' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str r@rJrKs rMr@zHistogram2dContour.texttemplates6N##rOc||d<dS)Nr@rJrQs rMr@zHistogram2dContour.texttemplaterurOc|dS)aH 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 r rJrKs rMr zHistogram2dContour.uidr~rOc||d<dS)Nr rJrQs rMr zHistogram2dContour.uidrrOc|dS)aN 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 r:rJrKs rMr:zHistogram2dContour.uirevisions2L!!rOc||d<dS)Nr:rJrQs rMr:zHistogram2dContour.uirevision6rerOc|dS)a 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 r$rJrKs rMr$zHistogram2dContour.visible<sIrOc||d<dS)Nr$rJrQs rMr$zHistogram2dContour.visibleMrrOc|dS)z 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 rrJrKs rMrzHistogram2dContour.xSCyrOc||d<dS)NrrJrQs rMrzHistogram2dContour.xaS rOc|dS)a  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 rrJrKs rMrzHistogram2dContour.xaxisg"G}rOc||d<dS)NrrJrQs rMrzHistogram2dContour.xaxiszW rOc|dS)a Set a group of histogram traces which will have compatible x-bin settings. Using `xbingroup`, histogram2d and histogram2dcontour traces (on axes of the same axis type) can have compatible x-bin settings. Note that the same `xbingroup` value can be used to set (1D) histogram `bingroup` The 'xbingroup' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str r1rJrKs rMr1zHistogram2dContour.xbingroup"K  rOc||d<dS)Nr1rJrQs rMr1zHistogram2dContour.xbingroupr`rOc|dS)a The 'xbins' property is an instance of XBins that may be specified as: - An instance of :class:`plotly.graph_objs.histogram2dcontour.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). 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. Returns ------- plotly.graph_objs.histogram2dcontour.XBins rrJrKs rMrzHistogram2dContour.xbinsdG}rOc||d<dS)NrrJrQs rMrzHistogram2dContour.xbinsrrOc|dS)a 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 r2rJrKs rMr2zHistogram2dContour.xcalendarrrOc||d<dS)Nr2rJrQs rMr2zHistogram2dContour.xcalendarr`rOc|dS)am 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 rArJrKs rMrAzHistogram2dContour.xhoverformat.N##rOc||d<dS)NrArJrQs rMrAzHistogram2dContour.xhoverformatrurOc|dS)z 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 rrJrKs rMrzHistogram2dContour.xsrc F|rOc||d<dS)NrrJrQs rMrzHistogram2dContour.xsrcrrOc|dS)z 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 r rJrKs rMr zHistogram2dContour.yrrOc||d<dS)Nr rJrQs rMr zHistogram2dContour.y,rrOc|dS)a  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 rrJrKs rMrzHistogram2dContour.yaxis2rrOc||d<dS)NrrJrQs rMrzHistogram2dContour.yaxisErrOc|dS)a Set a group of histogram traces which will have compatible y-bin settings. Using `ybingroup`, histogram2d and histogram2dcontour traces (on axes of the same axis type) can have compatible y-bin settings. Note that the same `ybingroup` value can be used to set (1D) histogram `bingroup` The 'ybingroup' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str r3rJrKs rMr3zHistogram2dContour.ybingroupKrrOc||d<dS)Nr3rJrQs rMr3zHistogram2dContour.ybingroup^r`rOc|dS)a The 'ybins' property is an instance of YBins that may be specified as: - An instance of :class:`plotly.graph_objs.histogram2dcontour.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). 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. Returns ------- plotly.graph_objs.histogram2dcontour.YBins rrJrKs rMrzHistogram2dContour.ybinsdrrOc||d<dS)NrrJrQs rMrzHistogram2dContour.ybinsrrOc|dS)a 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 r4rJrKs rMr4zHistogram2dContour.ycalendarrrOc||d<dS)Nr4rJrQs rMr4zHistogram2dContour.ycalendarr`rOc|dS)am 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 rBrJrKs rMrBzHistogram2dContour.yhoverformatrrOc||d<dS)NrBrJrQs rMrBzHistogram2dContour.yhoverformatrurOc|dS)z 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 rrJrKs rMrzHistogram2dContour.ysrcrrOc||d<dS)NrrJrQs rMrzHistogram2dContour.ysrcrrOc|dS)z Sets the aggregation data. The 'z' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray r rJrKs rMr zHistogram2dContour.zrrOc||d<dS)Nr rJrQs rMr zHistogram2dContour.zrrOc|dS)a| 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 rrJrKs rMrzHistogram2dContour.zautosG}rOc||d<dS)NrrJrQs rMrzHistogram2dContour.zautorrOc|dS)a Sets the hover text formatting rulefor `z` 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.By default the values are formatted using generic number format. The 'zhoverformat' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str rCrJrKs rMrCzHistogram2dContour.zhoverformats"N##rOc||d<dS)NrCrJrQs rMrCzHistogram2dContour.zhoverformat'rurOc|dS)a' 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 rrJrKs rMrzHistogram2dContour.zmax-F|rOc||d<dS)NrrJrQs rMrzHistogram2dContour.zmax<rrOc|dS)am 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 rrJrKs rMrzHistogram2dContour.zmidBrrOc||d<dS)NrrJrQs rMrzHistogram2dContour.zmidRrrOc|dS)a' 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 rrJrKs rMrzHistogram2dContour.zminXrrOc||d<dS)NrrJrQs rMrzHistogram2dContour.zmingrrOc|dS)z 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 rrJrKs rMrzHistogram2dContour.zsrcmrrOc||d<dS)NrrJrQs rMrzHistogram2dContour.zsrc{rrOc|jdS)Nr)_propsrKs rMrzHistogram2dContour.types{6""rOcdS)Na K 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. 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. autocontour Determines whether or not the contour level attributes are picked by an algorithm. If True, the number of contour levels can be set in `ncontours`. If False, set the contour level attributes in `contours`. bingroup Set the `xbingroup` and `ybingroup` default prefix For example, setting a `bingroup` of 1 on two histogram2d traces will make them their x-bins and y-bins match separately. 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.histogram2dcontour.ColorBa r` 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. contours :class:`plotly.graph_objects.histogram2dcontour.Contour s` 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`. 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.histogram2dcontour.Hoverla bel` 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 `z` 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`. 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`. 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.histogram2dcontour.Legendg rouptitle` 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. line :class:`plotly.graph_objects.histogram2dcontour.Line` instance or dict with compatible properties marker :class:`plotly.graph_objects.histogram2dcontour.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. ncontours Sets the maximum number of contour levels. The actual number of contours will be chosen automatically to be less than or equal to the value of `ncontours`. Has an effect only if `autocontour` is True or if `contours.size` is missing. opacity Sets the opacity of the trace. 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.histogram2dcontour.Stream` instance or dict with compatible properties textfont For this trace it only has an effect if `coloring` is set to "heatmap". Sets the text font. texttemplate For this trace it only has an effect if `coloring` is set to "heatmap". 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 `x`, `y`, `z` and `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). 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. xbingroup Set a group of histogram traces which will have compatible x-bin settings. Using `xbingroup`, histogram2d and histogram2dcontour traces (on axes of the same axis type) can have compatible x-bin settings. Note that the same `xbingroup` value can be used to set (1D) histogram `bingroup` xbins :class:`plotly.graph_objects.histogram2dcontour.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. ybingroup Set a group of histogram traces which will have compatible y-bin settings. Using `ybingroup`, histogram2d and histogram2dcontour traces (on axes of the same axis type) can have compatible y-bin settings. Note that the same `ybingroup` value can be used to set (1D) histogram `bingroup` ybins :class:`plotly.graph_objects.histogram2dcontour.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`. z Sets the aggregation data. 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. zhoverformat Sets the hover text formatting rulefor `z` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d 3/d3-format/tree/v1.4.5#d3-format.By default the values are formatted using generic number format. 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`. rJrKs rM_prop_descriptionsz%Histogram2dContour._prop_descriptionssr r rONcB tt|dd|Bvr|Bd|_dS|i}nct ||jr|}n9t |trtj |}ntd|B dd|_ |B dd|_ | d d}C||n|C}C|C|C|d <| d d}C||n|C}C|C|C|d <| d d}C||n|C}C|C|C|d <| d d}C||n|C}C|C|C|d <| d d}C||n|C}C|C|C|d <| dd}C||n|C}C|C|C|d<| dd}C||n|C}C|C|C|d<| dd}C| | n|C}C|C|C|d<| dd}C| | n|C}C|C|C|d<| dd}C| | n|C}C|C|C|d<| dd}C| | n|C}C|C|C|d<| dd}C| | n|C}C|C|C|d<| dd}C||n|C}C|C|C|d<| dd}C||n|C}C|C|C|d<| dd}C||n|C}C|C|C|d<| dd}C||n|C}C|C|C|d<| dd}C||n|C}C|C|C|d<| dd}C||n|C}C|C|C|d<| dd}C||n|C}C|C|C|d<| dd}C||n|C}C|C|C|d<| dd}C||n|C}C|C|C|d<| dd}C||n|C}C|C|C|d<| dd}C||n|C}C|C|C|d<| d d}C||n|C}C|C|C|d <| d!d}C||n|C}C|C|C|d!<| d"d}C||n|C}C|C|C|d"<| d#d}C||n|C}C|C|C|d#<| d$d}C||n|C}C|C|C|d$<| d%d}C||n|C}C|C|C|d%<| d&d}C||n|C}C|C|C|d&<| d'd}C| | n|C}C|C|C|d'<| d(d}C|!|!n|C}C|C|C|d(<| d)d}C|"|"n|C}C|C|C|d)<| d*d}C|#|#n|C}C|C|C|d*<| d+d}C|$|$n|C}C|C|C|d+<| d,d}C|%|%n|C}C|C|C|d,<| d-d}C|&|&n|C}C|C|C|d-<| d.d}C|'|'n|C}C|C|C|d.<| d/d}C|(|(n|C}C|C|C|d/<| d0d}C|)|)n|C}C|C|C|d0<| d1d}C|*|*n|C}C|C|C|d1<| d2d}C|+|+n|C}C|C|C|d2<| d3d}C|,|,n|C}C|C|C|d3<| d4d}C|-|-n|C}C|C|C|d4<| d5d}C|.|.n|C}C|C|C|d5<| d6d}C|/|/n|C}C|C|C|d6<| d7d}C|0|0n|C}C|C|C|d7<| d8d}C|1|1n|C}C|C|C|d8<| d9d}C|2|2n|C}C|C|C|d9<| d:d}C|3|3n|C}C|C|C|d:<| d;d}C|4|4n|C}C|C|C|d;<| dd}C|7|7n|C}C|C|C|d><| d?d}C|8|8n|C}C|C|C|d?<| d@d}C|9|9n|C}C|C|C|d@<| dAd}C|:|:n|C}C|C|C|dA<| dBd}C|;|;n|C}C|C|C|dB<| dCd}C|<||>n|C}C|C|C|dE<| dFd}C|?|?n|C}C|C|C|dF<| dGd}C|@|@n|C}C|C|C|dG<| dHd}C|A|An|C}C|C|C|dH<d|jdI<| dId|jdJit|fi|Bd|_ dS)KaM Construct a new Histogram2dContour object The sample data from which statistics are computed is set in `x` and `y` (where `x` and `y` represent marginal distributions, binning is set in `xbins` and `ybins` in this case) or `z` (where `z` represent the 2D distribution and binning set, binning is set by `x` and `y` in this case). The resulting distribution is visualized as a contour plot. Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.Histogram2dContour` 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. 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. autocontour Determines whether or not the contour level attributes are picked by an algorithm. If True, the number of contour levels can be set in `ncontours`. If False, set the contour level attributes in `contours`. bingroup Set the `xbingroup` and `ybingroup` default prefix For example, setting a `bingroup` of 1 on two histogram2d traces will make them their x-bins and y-bins match separately. 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.histogram2dcontour.ColorBa r` 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. contours :class:`plotly.graph_objects.histogram2dcontour.Contour s` 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`. 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.histogram2dcontour.Hoverla bel` 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 `z` 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`. 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`. 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.histogram2dcontour.Legendg rouptitle` 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. line :class:`plotly.graph_objects.histogram2dcontour.Line` instance or dict with compatible properties marker :class:`plotly.graph_objects.histogram2dcontour.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. ncontours Sets the maximum number of contour levels. The actual number of contours will be chosen automatically to be less than or equal to the value of `ncontours`. Has an effect only if `autocontour` is True or if `contours.size` is missing. opacity Sets the opacity of the trace. 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.histogram2dcontour.Stream` instance or dict with compatible properties textfont For this trace it only has an effect if `coloring` is set to "heatmap". Sets the text font. texttemplate For this trace it only has an effect if `coloring` is set to "heatmap". 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 `x`, `y`, `z` and `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). 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. xbingroup Set a group of histogram traces which will have compatible x-bin settings. Using `xbingroup`, histogram2d and histogram2dcontour traces (on axes of the same axis type) can have compatible x-bin settings. Note that the same `xbingroup` value can be used to set (1D) histogram `bingroup` xbins :class:`plotly.graph_objects.histogram2dcontour.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. ybingroup Set a group of histogram traces which will have compatible y-bin settings. Using `ybingroup`, histogram2d and histogram2dcontour traces (on axes of the same axis type) can have compatible y-bin settings. Note that the same `ybingroup` value can be used to set (1D) histogram `bingroup` ybins :class:`plotly.graph_objects.histogram2dcontour.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`. z Sets the aggregation data. 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. zhoverformat Sets the hover text formatting rulefor `z` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d 3/d3-format/tree/v1.4.5#d3-format.By default the values are formatted using generic number format. 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`. 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