from plotly.basedatatypes import BaseTraceType as _BaseTraceType import copy as _copy class Contour(_BaseTraceType): # class properties # -------------------- _parent_path_str = "" _path_str = "contour" _valid_props = { "autocolorscale", "autocontour", "coloraxis", "colorbar", "colorscale", "connectgaps", "contours", "customdata", "customdatasrc", "dx", "dy", "fillcolor", "hoverinfo", "hoverinfosrc", "hoverlabel", "hoverongaps", "hovertemplate", "hovertemplatesrc", "hovertext", "hovertextsrc", "ids", "idssrc", "legend", "legendgroup", "legendgrouptitle", "legendrank", "legendwidth", "line", "meta", "metasrc", "name", "ncontours", "opacity", "reversescale", "showlegend", "showscale", "stream", "text", "textfont", "textsrc", "texttemplate", "transpose", "type", "uid", "uirevision", "visible", "x", "x0", "xaxis", "xcalendar", "xhoverformat", "xperiod", "xperiod0", "xperiodalignment", "xsrc", "xtype", "y", "y0", "yaxis", "ycalendar", "yhoverformat", "yperiod", "yperiod0", "yperiodalignment", "ysrc", "ytype", "z", "zauto", "zhoverformat", "zmax", "zmid", "zmin", "zorder", "zsrc", } # autocolorscale # -------------- @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 # autocontour # ----------- @property def autocontour(self): """ 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 """ return self["autocontour"] @autocontour.setter def autocontour(self, val): self["autocontour"] = val # coloraxis # --------- @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 # colorbar # -------- @property def colorbar(self): """ The 'colorbar' property is an instance of ColorBar that may be specified as: - An instance of :class:`plotly.graph_objs.contour.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.contour .colorbar.Tickformatstop` instances or dicts with compatible properties tickformatstopdefaults When used in a template (as layout.template.dat a.contour.colorbar.tickformatstopdefaults), sets the default property values to use for elements of contour.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.contour.colorbar.T itle` instance or dict with compatible properties titlefont Deprecated: Please use contour.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 contour.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.contour.ColorBar """ return self["colorbar"] @colorbar.setter def colorbar(self, val): self["colorbar"] = val # colorscale # ---------- @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 # connectgaps # ----------- @property def connectgaps(self): """ Determines whether or not gaps (i.e. {nan} or missing values) in the `z` data are filled in. It is defaulted to true if `z` is a one dimensional array otherwise it is defaulted to false. The 'connectgaps' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["connectgaps"] @connectgaps.setter def connectgaps(self, val): self["connectgaps"] = val # contours # -------- @property def contours(self): """ The 'contours' property is an instance of Contours that may be specified as: - An instance of :class:`plotly.graph_objs.contour.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.contour.Contours """ return self["contours"] @contours.setter def contours(self, val): self["contours"] = val # customdata # ---------- @property def customdata(self): """ Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements The 'customdata' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["customdata"] @customdata.setter def customdata(self, val): self["customdata"] = val # customdatasrc # ------------- @property def customdatasrc(self): """ Sets the source reference on Chart Studio Cloud for `customdata`. The 'customdatasrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["customdatasrc"] @customdatasrc.setter def customdatasrc(self, val): self["customdatasrc"] = val # dx # -- @property def dx(self): """ Sets the x coordinate step. See `x0` for more info. The 'dx' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["dx"] @dx.setter def dx(self, val): self["dx"] = val # dy # -- @property def dy(self): """ Sets the y coordinate step. See `y0` for more info. The 'dy' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["dy"] @dy.setter def dy(self, val): self["dy"] = val # fillcolor # --------- @property def fillcolor(self): """ Sets the fill color if `contours.type` is "constraint". Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available. The 'fillcolor' property is a color and may be specified as: - A hex string (e.g. '#ff0000') - An rgb/rgba string (e.g. 'rgb(255,0,0)') - An hsl/hsla string (e.g. 'hsl(0,100%,50%)') - An hsv/hsva string (e.g. 'hsv(0,100%,100%)') - A named CSS color: aliceblue, antiquewhite, aqua, aquamarine, azure, beige, bisque, black, blanchedalmond, blue, blueviolet, brown, burlywood, cadetblue, chartreuse, chocolate, coral, cornflowerblue, cornsilk, crimson, cyan, darkblue, darkcyan, darkgoldenrod, darkgray, darkgrey, darkgreen, darkkhaki, darkmagenta, darkolivegreen, darkorange, darkorchid, darkred, darksalmon, darkseagreen, darkslateblue, darkslategray, darkslategrey, darkturquoise, darkviolet, deeppink, deepskyblue, dimgray, dimgrey, dodgerblue, firebrick, floralwhite, forestgreen, fuchsia, gainsboro, ghostwhite, gold, goldenrod, gray, grey, green, greenyellow, honeydew, hotpink, indianred, indigo, ivory, khaki, lavender, lavenderblush, lawngreen, lemonchiffon, lightblue, lightcoral, lightcyan, lightgoldenrodyellow, lightgray, lightgrey, lightgreen, lightpink, lightsalmon, lightseagreen, lightskyblue, lightslategray, lightslategrey, lightsteelblue, lightyellow, lime, limegreen, linen, magenta, maroon, mediumaquamarine, mediumblue, mediumorchid, mediumpurple, mediumseagreen, mediumslateblue, mediumspringgreen, mediumturquoise, mediumvioletred, midnightblue, mintcream, mistyrose, moccasin, navajowhite, navy, oldlace, olive, olivedrab, orange, orangered, orchid, palegoldenrod, palegreen, paleturquoise, palevioletred, papayawhip, peachpuff, peru, pink, plum, powderblue, purple, red, rosybrown, royalblue, rebeccapurple, saddlebrown, salmon, sandybrown, seagreen, seashell, sienna, silver, skyblue, slateblue, slategray, slategrey, snow, springgreen, steelblue, tan, teal, thistle, tomato, turquoise, violet, wheat, white, whitesmoke, yellow, yellowgreen - A number that will be interpreted as a color according to contour.colorscale Returns ------- str """ return self["fillcolor"] @fillcolor.setter def fillcolor(self, val): self["fillcolor"] = val # hoverinfo # --------- @property def hoverinfo(self): """ Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. The 'hoverinfo' property is a flaglist and may be specified as a string containing: - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters (e.g. 'x+y') OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip') - A list or array of the above Returns ------- Any|numpy.ndarray """ return self["hoverinfo"] @hoverinfo.setter def hoverinfo(self, val): self["hoverinfo"] = val # hoverinfosrc # ------------ @property def hoverinfosrc(self): """ Sets the source reference on Chart Studio Cloud for `hoverinfo`. The 'hoverinfosrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["hoverinfosrc"] @hoverinfosrc.setter def hoverinfosrc(self, val): self["hoverinfosrc"] = val # hoverlabel # ---------- @property def hoverlabel(self): """ The 'hoverlabel' property is an instance of Hoverlabel that may be specified as: - An instance of :class:`plotly.graph_objs.contour.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.contour.Hoverlabel """ return self["hoverlabel"] @hoverlabel.setter def hoverlabel(self, val): self["hoverlabel"] = val # hoverongaps # ----------- @property def hoverongaps(self): """ Determines whether or not gaps (i.e. {nan} or missing values) in the `z` data have hover labels associated with them. The 'hoverongaps' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["hoverongaps"] @hoverongaps.setter def hoverongaps(self, val): self["hoverongaps"] = val # hovertemplate # ------------- @property def hovertemplate(self): """ Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event-data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. The 'hovertemplate' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray """ return self["hovertemplate"] @hovertemplate.setter def hovertemplate(self, val): self["hovertemplate"] = val # hovertemplatesrc # ---------------- @property def hovertemplatesrc(self): """ Sets the source reference on Chart Studio Cloud for `hovertemplate`. The 'hovertemplatesrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["hovertemplatesrc"] @hovertemplatesrc.setter def hovertemplatesrc(self, val): self["hovertemplatesrc"] = val # hovertext # --------- @property def hovertext(self): """ Same as `text`. The 'hovertext' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["hovertext"] @hovertext.setter def hovertext(self, val): self["hovertext"] = val # hovertextsrc # ------------ @property def hovertextsrc(self): """ Sets the source reference on Chart Studio Cloud for `hovertext`. The 'hovertextsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["hovertextsrc"] @hovertextsrc.setter def hovertextsrc(self, val): self["hovertextsrc"] = val # ids # --- @property def ids(self): """ Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. The 'ids' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["ids"] @ids.setter def ids(self, val): self["ids"] = val # idssrc # ------ @property def idssrc(self): """ Sets the source reference on Chart Studio Cloud for `ids`. The 'idssrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["idssrc"] @idssrc.setter def idssrc(self, val): self["idssrc"] = val # legend # ------ @property def legend(self): """ Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. The 'legend' property is an identifier of a particular subplot, of type 'legend', that may be specified as the string 'legend' optionally followed by an integer >= 1 (e.g. 'legend', 'legend1', 'legend2', 'legend3', etc.) Returns ------- str """ return self["legend"] @legend.setter def legend(self, val): self["legend"] = val # legendgroup # ----------- @property def legendgroup(self): """ Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. The 'legendgroup' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["legendgroup"] @legendgroup.setter def legendgroup(self, val): self["legendgroup"] = val # legendgrouptitle # ---------------- @property def legendgrouptitle(self): """ The 'legendgrouptitle' property is an instance of Legendgrouptitle that may be specified as: - An instance of :class:`plotly.graph_objs.contour.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.contour.Legendgrouptitle """ return self["legendgrouptitle"] @legendgrouptitle.setter def legendgrouptitle(self, val): self["legendgrouptitle"] = val # legendrank # ---------- @property def legendrank(self): """ Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. The 'legendrank' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["legendrank"] @legendrank.setter def legendrank(self, val): self["legendrank"] = val # legendwidth # ----------- @property def legendwidth(self): """ Sets the width (in px or fraction) of the legend for this trace. The 'legendwidth' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["legendwidth"] @legendwidth.setter def legendwidth(self, val): self["legendwidth"] = val # line # ---- @property def line(self): """ The 'line' property is an instance of Line that may be specified as: - An instance of :class:`plotly.graph_objs.contour.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) Defaults to 0.5 when `contours.type` is "levels". Defaults to 2 when `contour.type` is "constraint". Returns ------- plotly.graph_objs.contour.Line """ return self["line"] @line.setter def line(self, val): self["line"] = val # meta # ---- @property def meta(self): """ Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. The 'meta' property accepts values of any type Returns ------- Any|numpy.ndarray """ return self["meta"] @meta.setter def meta(self, val): self["meta"] = val # metasrc # ------- @property def metasrc(self): """ Sets the source reference on Chart Studio Cloud for `meta`. The 'metasrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["metasrc"] @metasrc.setter def metasrc(self, val): self["metasrc"] = val # name # ---- @property def name(self): """ Sets the trace name. The trace name appears as the legend item and on hover. The 'name' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["name"] @name.setter def name(self, val): self["name"] = val # ncontours # --------- @property def ncontours(self): """ 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 """ return self["ncontours"] @ncontours.setter def ncontours(self, val): self["ncontours"] = val # opacity # ------- @property def opacity(self): """ Sets the opacity of the trace. The 'opacity' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- int|float """ return self["opacity"] @opacity.setter def opacity(self, val): self["opacity"] = val # reversescale # ------------ @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 # showlegend # ---------- @property def showlegend(self): """ Determines whether or not an item corresponding to this trace is shown in the legend. The 'showlegend' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["showlegend"] @showlegend.setter def showlegend(self, val): self["showlegend"] = val # showscale # --------- @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 # stream # ------ @property def stream(self): """ The 'stream' property is an instance of Stream that may be specified as: - An instance of :class:`plotly.graph_objs.contour.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.contour.Stream """ return self["stream"] @stream.setter def stream(self, val): self["stream"] = val # text # ---- @property def text(self): """ Sets the text elements associated with each z value. The 'text' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["text"] @text.setter def text(self, val): self["text"] = val # textfont # -------- @property def textfont(self): """ 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.contour.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.contour.Textfont """ return self["textfont"] @textfont.setter def textfont(self, val): self["textfont"] = val # textsrc # ------- @property def textsrc(self): """ Sets the source reference on Chart Studio Cloud for `text`. The 'textsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["textsrc"] @textsrc.setter def textsrc(self, val): self["textsrc"] = val # texttemplate # ------------ @property def texttemplate(self): """ 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 """ return self["texttemplate"] @texttemplate.setter def texttemplate(self, val): self["texttemplate"] = val # transpose # --------- @property def transpose(self): """ Transposes the z data. The 'transpose' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["transpose"] @transpose.setter def transpose(self, val): self["transpose"] = val # uid # --- @property def uid(self): """ Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. The 'uid' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["uid"] @uid.setter def uid(self, val): self["uid"] = val # uirevision # ---------- @property def uirevision(self): """ Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. The 'uirevision' property accepts values of any type Returns ------- Any """ return self["uirevision"] @uirevision.setter def uirevision(self, val): self["uirevision"] = val # visible # ------- @property def visible(self): """ Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). The 'visible' property is an enumeration that may be specified as: - One of the following enumeration values: [True, False, 'legendonly'] Returns ------- Any """ return self["visible"] @visible.setter def visible(self, val): self["visible"] = val # x # - @property def x(self): """ Sets the x coordinates. The 'x' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["x"] @x.setter def x(self, val): self["x"] = val # x0 # -- @property def x0(self): """ Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step. The 'x0' property accepts values of any type Returns ------- Any """ return self["x0"] @x0.setter def x0(self, val): self["x0"] = val # xaxis # ----- @property def xaxis(self): """ Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. The 'xaxis' property is an identifier of a particular subplot, of type 'x', that may be specified as the string 'x' optionally followed by an integer >= 1 (e.g. 'x', 'x1', 'x2', 'x3', etc.) Returns ------- str """ return self["xaxis"] @xaxis.setter def xaxis(self, val): self["xaxis"] = val # xcalendar # --------- @property def xcalendar(self): """ Sets the calendar system to use with `x` date data. The 'xcalendar' property is an enumeration that may be specified as: - One of the following enumeration values: ['chinese', 'coptic', 'discworld', 'ethiopian', 'gregorian', 'hebrew', 'islamic', 'jalali', 'julian', 'mayan', 'nanakshahi', 'nepali', 'persian', 'taiwan', 'thai', 'ummalqura'] Returns ------- Any """ return self["xcalendar"] @xcalendar.setter def xcalendar(self, val): self["xcalendar"] = val # xhoverformat # ------------ @property def xhoverformat(self): """ Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. The 'xhoverformat' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["xhoverformat"] @xhoverformat.setter def xhoverformat(self, val): self["xhoverformat"] = val # xperiod # ------- @property def xperiod(self): """ Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M" on the x axis. Special values in the form of "M" could be used to declare the number of months. In this case `n` must be a positive integer. The 'xperiod' property accepts values of any type Returns ------- Any """ return self["xperiod"] @xperiod.setter def xperiod(self, val): self["xperiod"] = val # xperiod0 # -------- @property def xperiod0(self): """ Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. The 'xperiod0' property accepts values of any type Returns ------- Any """ return self["xperiod0"] @xperiod0.setter def xperiod0(self, val): self["xperiod0"] = val # xperiodalignment # ---------------- @property def xperiodalignment(self): """ Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis. The 'xperiodalignment' property is an enumeration that may be specified as: - One of the following enumeration values: ['start', 'middle', 'end'] Returns ------- Any """ return self["xperiodalignment"] @xperiodalignment.setter def xperiodalignment(self, val): self["xperiodalignment"] = val # xsrc # ---- @property def xsrc(self): """ Sets the source reference on Chart Studio Cloud for `x`. The 'xsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["xsrc"] @xsrc.setter def xsrc(self, val): self["xsrc"] = val # xtype # ----- @property def xtype(self): """ If "array", the heatmap's x coordinates are given by "x" (the default behavior when `x` is provided). If "scaled", the heatmap's x coordinates are given by "x0" and "dx" (the default behavior when `x` is not provided). The 'xtype' property is an enumeration that may be specified as: - One of the following enumeration values: ['array', 'scaled'] Returns ------- Any """ return self["xtype"] @xtype.setter def xtype(self, val): self["xtype"] = val # y # - @property def y(self): """ Sets the y coordinates. The 'y' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["y"] @y.setter def y(self, val): self["y"] = val # y0 # -- @property def y0(self): """ Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step. The 'y0' property accepts values of any type Returns ------- Any """ return self["y0"] @y0.setter def y0(self, val): self["y0"] = val # yaxis # ----- @property def yaxis(self): """ Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. The 'yaxis' property is an identifier of a particular subplot, of type 'y', that may be specified as the string 'y' optionally followed by an integer >= 1 (e.g. 'y', 'y1', 'y2', 'y3', etc.) Returns ------- str """ return self["yaxis"] @yaxis.setter def yaxis(self, val): self["yaxis"] = val # ycalendar # --------- @property def ycalendar(self): """ Sets the calendar system to use with `y` date data. The 'ycalendar' property is an enumeration that may be specified as: - One of the following enumeration values: ['chinese', 'coptic', 'discworld', 'ethiopian', 'gregorian', 'hebrew', 'islamic', 'jalali', 'julian', 'mayan', 'nanakshahi', 'nepali', 'persian', 'taiwan', 'thai', 'ummalqura'] Returns ------- Any """ return self["ycalendar"] @ycalendar.setter def ycalendar(self, val): self["ycalendar"] = val # yhoverformat # ------------ @property def yhoverformat(self): """ Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. The 'yhoverformat' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["yhoverformat"] @yhoverformat.setter def yhoverformat(self, val): self["yhoverformat"] = val # yperiod # ------- @property def yperiod(self): """ Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M" on the y axis. Special values in the form of "M" could be used to declare the number of months. In this case `n` must be a positive integer. The 'yperiod' property accepts values of any type Returns ------- Any """ return self["yperiod"] @yperiod.setter def yperiod(self, val): self["yperiod"] = val # yperiod0 # -------- @property def yperiod0(self): """ Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. The 'yperiod0' property accepts values of any type Returns ------- Any """ return self["yperiod0"] @yperiod0.setter def yperiod0(self, val): self["yperiod0"] = val # yperiodalignment # ---------------- @property def yperiodalignment(self): """ Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis. The 'yperiodalignment' property is an enumeration that may be specified as: - One of the following enumeration values: ['start', 'middle', 'end'] Returns ------- Any """ return self["yperiodalignment"] @yperiodalignment.setter def yperiodalignment(self, val): self["yperiodalignment"] = val # ysrc # ---- @property def ysrc(self): """ Sets the source reference on Chart Studio Cloud for `y`. The 'ysrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["ysrc"] @ysrc.setter def ysrc(self, val): self["ysrc"] = val # ytype # ----- @property def ytype(self): """ If "array", the heatmap's y coordinates are given by "y" (the default behavior when `y` is provided) If "scaled", the heatmap's y coordinates are given by "y0" and "dy" (the default behavior when `y` is not provided) The 'ytype' property is an enumeration that may be specified as: - One of the following enumeration values: ['array', 'scaled'] Returns ------- Any """ return self["ytype"] @ytype.setter def ytype(self, val): self["ytype"] = val # z # - @property def z(self): """ Sets the z data. 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 # zauto # ----- @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 # zhoverformat # ------------ @property def zhoverformat(self): """ 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 """ return self["zhoverformat"] @zhoverformat.setter def zhoverformat(self, val): self["zhoverformat"] = val # zmax # ---- @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 # zmid # ---- @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 # zmin # ---- @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 # zorder # ------ @property def zorder(self): """ Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. The 'zorder' property is a integer and may be specified as: - An int (or float that will be cast to an int) Returns ------- int """ return self["zorder"] @zorder.setter def zorder(self, val): self["zorder"] = val # zsrc # ---- @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 # type # ---- @property def type(self): return self._props["type"] # Self properties description # --------------------------- @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. 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`. 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.contour.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. connectgaps Determines whether or not gaps (i.e. {nan} or missing values) in the `z` data are filled in. It is defaulted to true if `z` is a one dimensional array otherwise it is defaulted to false. contours :class:`plotly.graph_objects.contour.Contours` 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`. dx Sets the x coordinate step. See `x0` for more info. dy Sets the y coordinate step. See `y0` for more info. fillcolor Sets the fill color if `contours.type` is "constraint". Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available. 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.contour.Hoverlabel` instance or dict with compatible properties hoverongaps Determines whether or not gaps (i.e. {nan} or missing values) in the `z` data have hover labels associated with them. 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 Same as `text`. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. 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.contour.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. line :class:`plotly.graph_objects.contour.Line` 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. 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.contour.Stream` instance or dict with compatible properties text Sets the text elements associated with each z value. textfont For this trace it only has an effect if `coloring` is set to "heatmap". Sets the text font. textsrc Sets the source reference on Chart Studio Cloud for `text`. 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`. transpose Transposes the z data. 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 x coordinates. x0 Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step. 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. 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`. xperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M" on the x axis. Special values in the form of "M" could be used to declare the number of months. In this case `n` must be a positive integer. xperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. xperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis. xsrc Sets the source reference on Chart Studio Cloud for `x`. xtype If "array", the heatmap's x coordinates are given by "x" (the default behavior when `x` is provided). If "scaled", the heatmap's x coordinates are given by "x0" and "dx" (the default behavior when `x` is not provided). y Sets the y coordinates. y0 Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step. 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. 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`. yperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M" on the y axis. Special values in the form of "M" could be used to declare the number of months. In this case `n` must be a positive integer. yperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. yperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis. ysrc Sets the source reference on Chart Studio Cloud for `y`. ytype If "array", the heatmap's y coordinates are given by "y" (the default behavior when `y` is provided) If "scaled", the heatmap's y coordinates are given by "y0" and "dy" (the default behavior when `y` is not provided) z Sets the z 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. zorder Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. zsrc Sets the source reference on Chart Studio Cloud for `z`. """ def __init__( self, arg=None, autocolorscale=None, autocontour=None, coloraxis=None, colorbar=None, colorscale=None, connectgaps=None, contours=None, customdata=None, customdatasrc=None, dx=None, dy=None, fillcolor=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hoverongaps=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, line=None, meta=None, metasrc=None, name=None, ncontours=None, opacity=None, reversescale=None, showlegend=None, showscale=None, stream=None, text=None, textfont=None, textsrc=None, texttemplate=None, transpose=None, uid=None, uirevision=None, visible=None, x=None, x0=None, xaxis=None, xcalendar=None, xhoverformat=None, xperiod=None, xperiod0=None, xperiodalignment=None, xsrc=None, xtype=None, y=None, y0=None, yaxis=None, ycalendar=None, yhoverformat=None, yperiod=None, yperiod0=None, yperiodalignment=None, ysrc=None, ytype=None, z=None, zauto=None, zhoverformat=None, zmax=None, zmid=None, zmin=None, zorder=None, zsrc=None, **kwargs, ): """ Construct a new Contour object The data from which contour lines are computed is set in `z`. Data in `z` must be a 2D list of numbers. Say that `z` has N rows and M columns, then by default, these N rows correspond to N y coordinates (set in `y` or auto-generated) and the M columns correspond to M x coordinates (set in `x` or auto- generated). By setting `transpose` to True, the above behavior is flipped. Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.Contour` 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`. 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.contour.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. connectgaps Determines whether or not gaps (i.e. {nan} or missing values) in the `z` data are filled in. It is defaulted to true if `z` is a one dimensional array otherwise it is defaulted to false. contours :class:`plotly.graph_objects.contour.Contours` 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`. dx Sets the x coordinate step. See `x0` for more info. dy Sets the y coordinate step. See `y0` for more info. fillcolor Sets the fill color if `contours.type` is "constraint". Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available. 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.contour.Hoverlabel` instance or dict with compatible properties hoverongaps Determines whether or not gaps (i.e. {nan} or missing values) in the `z` data have hover labels associated with them. 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 Same as `text`. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. 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.contour.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. line :class:`plotly.graph_objects.contour.Line` 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. 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.contour.Stream` instance or dict with compatible properties text Sets the text elements associated with each z value. textfont For this trace it only has an effect if `coloring` is set to "heatmap". Sets the text font. textsrc Sets the source reference on Chart Studio Cloud for `text`. 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`. transpose Transposes the z data. 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 x coordinates. x0 Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step. 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. 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`. xperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M" on the x axis. Special values in the form of "M" could be used to declare the number of months. In this case `n` must be a positive integer. xperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. xperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis. xsrc Sets the source reference on Chart Studio Cloud for `x`. xtype If "array", the heatmap's x coordinates are given by "x" (the default behavior when `x` is provided). If "scaled", the heatmap's x coordinates are given by "x0" and "dx" (the default behavior when `x` is not provided). y Sets the y coordinates. y0 Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step. 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. 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`. yperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M" on the y axis. Special values in the form of "M" could be used to declare the number of months. In this case `n` must be a positive integer. yperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. yperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis. ysrc Sets the source reference on Chart Studio Cloud for `y`. ytype If "array", the heatmap's y coordinates are given by "y" (the default behavior when `y` is provided) If "scaled", the heatmap's y coordinates are given by "y0" and "dy" (the default behavior when `y` is not provided) z Sets the z 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. zorder Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. zsrc Sets the source reference on Chart Studio Cloud for `z`. Returns ------- Contour """ super(Contour, self).__init__("contour") if "_parent" in kwargs: self._parent = kwargs["_parent"] return # Validate arg # ------------ if arg is None: arg = {} elif isinstance(arg, self.__class__): arg = arg.to_plotly_json() elif isinstance(arg, dict): arg = _copy.copy(arg) else: raise ValueError( """\ The first argument to the plotly.graph_objs.Contour constructor must be a dict or an instance of :class:`plotly.graph_objs.Contour`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) self._validate = kwargs.pop("_validate", True) # Populate data dict with properties # ---------------------------------- _v = arg.pop("autocolorscale", None) _v = autocolorscale if autocolorscale is not None else _v if _v is not None: self["autocolorscale"] = _v _v = arg.pop("autocontour", None) _v = autocontour if autocontour is not None else _v if _v is not None: self["autocontour"] = _v _v = arg.pop("coloraxis", None) _v = coloraxis if coloraxis is not None else _v if _v is not None: self["coloraxis"] = _v _v = arg.pop("colorbar", None) _v = colorbar if colorbar is not None else _v if _v is not None: self["colorbar"] = _v _v = arg.pop("colorscale", None) _v = colorscale if colorscale is not None else _v if _v is not None: self["colorscale"] = _v _v = arg.pop("connectgaps", None) _v = connectgaps if connectgaps is not None else _v if _v is not None: self["connectgaps"] = _v _v = arg.pop("contours", None) _v = contours if contours is not None else _v if _v is not None: self["contours"] = _v _v = arg.pop("customdata", None) _v = customdata if customdata is not None else _v if _v is not None: self["customdata"] = _v _v = arg.pop("customdatasrc", None) _v = customdatasrc if customdatasrc is not None else _v if _v is not None: self["customdatasrc"] = _v _v = arg.pop("dx", None) _v = dx if dx is not None else _v if _v is not None: self["dx"] = _v _v = arg.pop("dy", None) _v = dy if dy is not None else _v if _v is not None: self["dy"] = _v _v = arg.pop("fillcolor", None) _v = fillcolor if fillcolor is not None else _v if _v is not None: self["fillcolor"] = _v _v = arg.pop("hoverinfo", None) _v = hoverinfo if hoverinfo is not None else _v if _v is not None: self["hoverinfo"] = _v _v = arg.pop("hoverinfosrc", None) _v = hoverinfosrc if hoverinfosrc is not None else _v if _v is not None: self["hoverinfosrc"] = _v _v = arg.pop("hoverlabel", None) _v = hoverlabel if hoverlabel is not None else _v if _v is not None: self["hoverlabel"] = _v _v = arg.pop("hoverongaps", None) _v = hoverongaps if hoverongaps is not None else _v if _v is not None: self["hoverongaps"] = _v _v = arg.pop("hovertemplate", None) _v = hovertemplate if hovertemplate is not None else _v if _v is not None: self["hovertemplate"] = _v _v = arg.pop("hovertemplatesrc", None) _v = hovertemplatesrc if hovertemplatesrc is not None else _v if _v is not None: self["hovertemplatesrc"] = _v _v = arg.pop("hovertext", None) _v = hovertext if hovertext is not None else _v if _v is not None: self["hovertext"] = _v _v = arg.pop("hovertextsrc", None) _v = hovertextsrc if hovertextsrc is not None else _v if _v is not None: self["hovertextsrc"] = _v _v = arg.pop("ids", None) _v = ids if ids is not None else _v if _v is not None: self["ids"] = _v _v = arg.pop("idssrc", None) _v = idssrc if idssrc is not None else _v if _v is not None: self["idssrc"] = _v _v = arg.pop("legend", None) _v = legend if legend is not None else _v if _v is not None: self["legend"] = _v _v = arg.pop("legendgroup", None) _v = legendgroup if legendgroup is not None else _v if _v is not None: self["legendgroup"] = _v _v = arg.pop("legendgrouptitle", None) _v = legendgrouptitle if legendgrouptitle is not None else _v if _v is not None: self["legendgrouptitle"] = _v _v = arg.pop("legendrank", None) _v = legendrank if legendrank is not None else _v if _v is not None: self["legendrank"] = _v _v = arg.pop("legendwidth", None) _v = legendwidth if legendwidth is not None else _v if _v is not None: self["legendwidth"] = _v _v = arg.pop("line", None) _v = line if line is not None else _v if _v is not None: self["line"] = _v _v = arg.pop("meta", None) _v = meta if meta is not None else _v if _v is not None: self["meta"] = _v _v = arg.pop("metasrc", None) _v = metasrc if metasrc is not None else _v if _v is not None: self["metasrc"] = _v _v = arg.pop("name", None) _v = name if name is not None else _v if _v is not None: self["name"] = _v _v = arg.pop("ncontours", None) _v = ncontours if ncontours is not None else _v if _v is not None: self["ncontours"] = _v _v = arg.pop("opacity", None) _v = opacity if opacity is not None else _v if _v is not None: self["opacity"] = _v _v = arg.pop("reversescale", None) _v = reversescale if reversescale is not None else _v if _v is not None: self["reversescale"] = _v _v = arg.pop("showlegend", None) _v = showlegend if showlegend is not None else _v if _v is not None: self["showlegend"] = _v _v = arg.pop("showscale", None) _v = showscale if showscale is not None else _v if _v is not None: self["showscale"] = _v _v = arg.pop("stream", None) _v = stream if stream is not None else _v if _v is not None: self["stream"] = _v _v = arg.pop("text", None) _v = text if text is not None else _v if _v is not None: self["text"] = _v _v = arg.pop("textfont", None) _v = textfont if textfont is not None else _v if _v is not None: self["textfont"] = _v _v = arg.pop("textsrc", None) _v = textsrc if textsrc is not None else _v if _v is not None: self["textsrc"] = _v _v = arg.pop("texttemplate", None) _v = texttemplate if texttemplate is not None else _v if _v is not None: self["texttemplate"] = _v _v = arg.pop("transpose", None) _v = transpose if transpose is not None else _v if _v is not None: self["transpose"] = _v _v = arg.pop("uid", None) _v = uid if uid is not None else _v if _v is not None: self["uid"] = _v _v = arg.pop("uirevision", None) _v = uirevision if uirevision is not None else _v if _v is not None: self["uirevision"] = _v _v = arg.pop("visible", None) _v = visible if visible is not None else _v if _v is not None: self["visible"] = _v _v = arg.pop("x", None) _v = x if x is not None else _v if _v is not None: self["x"] = _v _v = arg.pop("x0", None) _v = x0 if x0 is not None else _v if _v is not None: self["x0"] = _v _v = arg.pop("xaxis", None) _v = xaxis if xaxis is not None else _v if _v is not None: self["xaxis"] = _v _v = arg.pop("xcalendar", None) _v = xcalendar if xcalendar is not None else _v if _v is not None: self["xcalendar"] = _v _v = arg.pop("xhoverformat", None) _v = xhoverformat if xhoverformat is not None else _v if _v is not None: self["xhoverformat"] = _v _v = arg.pop("xperiod", None) _v = xperiod if xperiod is not None else _v if _v is not None: self["xperiod"] = _v _v = arg.pop("xperiod0", None) _v = xperiod0 if xperiod0 is not None else _v if _v is not None: self["xperiod0"] = _v _v = arg.pop("xperiodalignment", None) _v = xperiodalignment if xperiodalignment is not None else _v if _v is not None: self["xperiodalignment"] = _v _v = arg.pop("xsrc", None) _v = xsrc if xsrc is not None else _v if _v is not None: self["xsrc"] = _v _v = arg.pop("xtype", None) _v = xtype if xtype is not None else _v if _v is not None: self["xtype"] = _v _v = arg.pop("y", None) _v = y if y is not None else _v if _v is not None: self["y"] = _v _v = arg.pop("y0", None) _v = y0 if y0 is not None else _v if _v is not None: self["y0"] = _v _v = arg.pop("yaxis", None) _v = yaxis if yaxis is not None else _v if _v is not None: self["yaxis"] = _v _v = arg.pop("ycalendar", None) _v = ycalendar if ycalendar is not None else _v if _v is not None: self["ycalendar"] = _v _v = arg.pop("yhoverformat", None) _v = yhoverformat if yhoverformat is not None else _v if _v is not None: self["yhoverformat"] = _v _v = arg.pop("yperiod", None) _v = yperiod if yperiod is not None else _v if _v is not None: self["yperiod"] = _v _v = arg.pop("yperiod0", None) _v = yperiod0 if yperiod0 is not None else _v if _v is not None: self["yperiod0"] = _v _v = arg.pop("yperiodalignment", None) _v = yperiodalignment if yperiodalignment is not None else _v if _v is not None: self["yperiodalignment"] = _v _v = arg.pop("ysrc", None) _v = ysrc if ysrc is not None else _v if _v is not None: self["ysrc"] = _v _v = arg.pop("ytype", None) _v = ytype if ytype is not None else _v if _v is not None: self["ytype"] = _v _v = arg.pop("z", None) _v = z if z is not None else _v if _v is not None: self["z"] = _v _v = arg.pop("zauto", None) _v = zauto if zauto is not None else _v if _v is not None: self["zauto"] = _v _v = arg.pop("zhoverformat", None) _v = zhoverformat if zhoverformat is not None else _v if _v is not None: self["zhoverformat"] = _v _v = arg.pop("zmax", None) _v = zmax if zmax is not None else _v if _v is not None: self["zmax"] = _v _v = arg.pop("zmid", None) _v = zmid if zmid is not None else _v if _v is not None: self["zmid"] = _v _v = arg.pop("zmin", None) _v = zmin if zmin is not None else _v if _v is not None: self["zmin"] = _v _v = arg.pop("zorder", None) _v = zorder if zorder is not None else _v if _v is not None: self["zorder"] = _v _v = arg.pop("zsrc", None) _v = zsrc if zsrc is not None else _v if _v is not None: self["zsrc"] = _v # Read-only literals # ------------------ self._props["type"] = "contour" arg.pop("type", None) # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False