from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Surface(_BaseTraceHierarchyType): # count # ----- @property def count(self): """ Sets the number of iso-surfaces between minimum and maximum iso-values. By default this value is 2 meaning that only minimum and maximum surfaces would be drawn. The 'count' 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["count"] @count.setter def count(self, val): self["count"] = val # fill # ---- @property def fill(self): """ Sets the fill ratio of the iso-surface. The default fill value of the surface is 1 meaning that they are entirely shaded. On the other hand Applying a `fill` ratio less than one would allow the creation of openings parallel to the edges. The 'fill' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- int|float """ return self["fill"] @fill.setter def fill(self, val): self["fill"] = val # pattern # ------- @property def pattern(self): """ Sets the surface pattern of the iso-surface 3-D sections. The default pattern of the surface is `all` meaning that the rest of surface elements would be shaded. The check options (either 1 or 2) could be used to draw half of the squares on the surface. Using various combinations of capital `A`, `B`, `C`, `D` and `E` may also be used to reduce the number of triangles on the iso-surfaces and creating other patterns of interest. The 'pattern' property is a flaglist and may be specified as a string containing: - Any combination of ['A', 'B', 'C', 'D', 'E'] joined with '+' characters (e.g. 'A+B') OR exactly one of ['all', 'odd', 'even'] (e.g. 'even') Returns ------- Any """ return self["pattern"] @pattern.setter def pattern(self, val): self["pattern"] = val # show # ---- @property def show(self): """ Hides/displays surfaces between minimum and maximum iso-values. The 'show' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["show"] @show.setter def show(self, val): self["show"] = val # property parent name # -------------------- @property def _parent_path_str(self): return "isosurface" # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ count Sets the number of iso-surfaces between minimum and maximum iso-values. By default this value is 2 meaning that only minimum and maximum surfaces would be drawn. fill Sets the fill ratio of the iso-surface. The default fill value of the surface is 1 meaning that they are entirely shaded. On the other hand Applying a `fill` ratio less than one would allow the creation of openings parallel to the edges. pattern Sets the surface pattern of the iso-surface 3-D sections. The default pattern of the surface is `all` meaning that the rest of surface elements would be shaded. The check options (either 1 or 2) could be used to draw half of the squares on the surface. Using various combinations of capital `A`, `B`, `C`, `D` and `E` may also be used to reduce the number of triangles on the iso-surfaces and creating other patterns of interest. show Hides/displays surfaces between minimum and maximum iso-values. """ def __init__( self, arg=None, count=None, fill=None, pattern=None, show=None, **kwargs ): """ Construct a new Surface object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.isosurface.Surface` count Sets the number of iso-surfaces between minimum and maximum iso-values. By default this value is 2 meaning that only minimum and maximum surfaces would be drawn. fill Sets the fill ratio of the iso-surface. The default fill value of the surface is 1 meaning that they are entirely shaded. On the other hand Applying a `fill` ratio less than one would allow the creation of openings parallel to the edges. pattern Sets the surface pattern of the iso-surface 3-D sections. The default pattern of the surface is `all` meaning that the rest of surface elements would be shaded. The check options (either 1 or 2) could be used to draw half of the squares on the surface. Using various combinations of capital `A`, `B`, `C`, `D` and `E` may also be used to reduce the number of triangles on the iso-surfaces and creating other patterns of interest. show Hides/displays surfaces between minimum and maximum iso-values. Returns ------- Surface """ super(Surface, self).__init__("surface") # 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.isosurface.Surface constructor must be a dict or an instance of :class:`plotly.graph_objs.isosurface.Surface`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) # Import validators # ----------------- from plotly.validators.isosurface import surface as v_surface # Initialize validators # --------------------- self._validators["count"] = v_surface.CountValidator() self._validators["fill"] = v_surface.FillValidator() self._validators["pattern"] = v_surface.PatternValidator() self._validators["show"] = v_surface.ShowValidator() # Populate data dict with properties # ---------------------------------- _v = arg.pop("count", None) self["count"] = count if count is not None else _v _v = arg.pop("fill", None) self["fill"] = fill if fill is not None else _v _v = arg.pop("pattern", None) self["pattern"] = pattern if pattern is not None else _v _v = arg.pop("show", None) self["show"] = show if show is not None else _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Stream(_BaseTraceHierarchyType): # maxpoints # --------- @property def maxpoints(self): """ 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. The 'maxpoints' property is a number and may be specified as: - An int or float in the interval [0, 10000] Returns ------- int|float """ return self["maxpoints"] @maxpoints.setter def maxpoints(self, val): self["maxpoints"] = val # token # ----- @property def token(self): """ The stream id number links a data trace on a plot with a stream. See https://plot.ly/settings for more details. The 'token' property is a string and must be specified as: - A non-empty string Returns ------- str """ return self["token"] @token.setter def token(self, val): self["token"] = val # property parent name # -------------------- @property def _parent_path_str(self): return "isosurface" # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ 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://plot.ly/settings for more details. """ def __init__(self, arg=None, maxpoints=None, token=None, **kwargs): """ Construct a new Stream object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.isosurface.Stream` 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://plot.ly/settings for more details. Returns ------- Stream """ super(Stream, self).__init__("stream") # 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.isosurface.Stream constructor must be a dict or an instance of :class:`plotly.graph_objs.isosurface.Stream`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) # Import validators # ----------------- from plotly.validators.isosurface import stream as v_stream # Initialize validators # --------------------- self._validators["maxpoints"] = v_stream.MaxpointsValidator() self._validators["token"] = v_stream.TokenValidator() # Populate data dict with properties # ---------------------------------- _v = arg.pop("maxpoints", None) self["maxpoints"] = maxpoints if maxpoints is not None else _v _v = arg.pop("token", None) self["token"] = token if token is not None else _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Spaceframe(_BaseTraceHierarchyType): # fill # ---- @property def fill(self): """ Sets the fill ratio of the `spaceframe` elements. The default fill value is 0.15 meaning that only 15% of the area of every faces of tetras would be shaded. Applying a greater `fill` ratio would allow the creation of stronger elements or could be sued to have entirely closed areas (in case of using 1). The 'fill' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- int|float """ return self["fill"] @fill.setter def fill(self, val): self["fill"] = val # show # ---- @property def show(self): """ Displays/hides tetrahedron shapes between minimum and maximum iso-values. Often useful when either caps or surfaces are disabled or filled with values less than 1. The 'show' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["show"] @show.setter def show(self, val): self["show"] = val # property parent name # -------------------- @property def _parent_path_str(self): return "isosurface" # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ fill Sets the fill ratio of the `spaceframe` elements. The default fill value is 0.15 meaning that only 15% of the area of every faces of tetras would be shaded. Applying a greater `fill` ratio would allow the creation of stronger elements or could be sued to have entirely closed areas (in case of using 1). show Displays/hides tetrahedron shapes between minimum and maximum iso-values. Often useful when either caps or surfaces are disabled or filled with values less than 1. """ def __init__(self, arg=None, fill=None, show=None, **kwargs): """ Construct a new Spaceframe object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.isosurface.Spaceframe` fill Sets the fill ratio of the `spaceframe` elements. The default fill value is 0.15 meaning that only 15% of the area of every faces of tetras would be shaded. Applying a greater `fill` ratio would allow the creation of stronger elements or could be sued to have entirely closed areas (in case of using 1). show Displays/hides tetrahedron shapes between minimum and maximum iso-values. Often useful when either caps or surfaces are disabled or filled with values less than 1. Returns ------- Spaceframe """ super(Spaceframe, self).__init__("spaceframe") # 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.isosurface.Spaceframe constructor must be a dict or an instance of :class:`plotly.graph_objs.isosurface.Spaceframe`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) # Import validators # ----------------- from plotly.validators.isosurface import spaceframe as v_spaceframe # Initialize validators # --------------------- self._validators["fill"] = v_spaceframe.FillValidator() self._validators["show"] = v_spaceframe.ShowValidator() # Populate data dict with properties # ---------------------------------- _v = arg.pop("fill", None) self["fill"] = fill if fill is not None else _v _v = arg.pop("show", None) self["show"] = show if show is not None else _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Slices(_BaseTraceHierarchyType): # x # - @property def x(self): """ The 'x' property is an instance of X that may be specified as: - An instance of :class:`plotly.graph_objs.isosurface.slices.X` - A dict of string/value properties that will be passed to the X constructor Supported dict properties: fill Sets the fill ratio of the `slices`. The default fill value of the `slices` is 1 meaning that they are entirely shaded. On the other hand Applying a `fill` ratio less than one would allow the creation of openings parallel to the edges. locations Specifies the location(s) of slices on the axis. When not specified slices would be created for all points of the axis x except start and end. locationssrc Sets the source reference on plot.ly for locations . show Determines whether or not slice planes about the x dimension are drawn. Returns ------- plotly.graph_objs.isosurface.slices.X """ return self["x"] @x.setter def x(self, val): self["x"] = val # y # - @property def y(self): """ The 'y' property is an instance of Y that may be specified as: - An instance of :class:`plotly.graph_objs.isosurface.slices.Y` - A dict of string/value properties that will be passed to the Y constructor Supported dict properties: fill Sets the fill ratio of the `slices`. The default fill value of the `slices` is 1 meaning that they are entirely shaded. On the other hand Applying a `fill` ratio less than one would allow the creation of openings parallel to the edges. locations Specifies the location(s) of slices on the axis. When not specified slices would be created for all points of the axis y except start and end. locationssrc Sets the source reference on plot.ly for locations . show Determines whether or not slice planes about the y dimension are drawn. Returns ------- plotly.graph_objs.isosurface.slices.Y """ return self["y"] @y.setter def y(self, val): self["y"] = val # z # - @property def z(self): """ The 'z' property is an instance of Z that may be specified as: - An instance of :class:`plotly.graph_objs.isosurface.slices.Z` - A dict of string/value properties that will be passed to the Z constructor Supported dict properties: fill Sets the fill ratio of the `slices`. The default fill value of the `slices` is 1 meaning that they are entirely shaded. On the other hand Applying a `fill` ratio less than one would allow the creation of openings parallel to the edges. locations Specifies the location(s) of slices on the axis. When not specified slices would be created for all points of the axis z except start and end. locationssrc Sets the source reference on plot.ly for locations . show Determines whether or not slice planes about the z dimension are drawn. Returns ------- plotly.graph_objs.isosurface.slices.Z """ return self["z"] @z.setter def z(self, val): self["z"] = val # property parent name # -------------------- @property def _parent_path_str(self): return "isosurface" # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ x :class:`plotly.graph_objects.isosurface.slices.X` instance or dict with compatible properties y :class:`plotly.graph_objects.isosurface.slices.Y` instance or dict with compatible properties z :class:`plotly.graph_objects.isosurface.slices.Z` instance or dict with compatible properties """ def __init__(self, arg=None, x=None, y=None, z=None, **kwargs): """ Construct a new Slices object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.isosurface.Slices` x :class:`plotly.graph_objects.isosurface.slices.X` instance or dict with compatible properties y :class:`plotly.graph_objects.isosurface.slices.Y` instance or dict with compatible properties z :class:`plotly.graph_objects.isosurface.slices.Z` instance or dict with compatible properties Returns ------- Slices """ super(Slices, self).__init__("slices") # 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.isosurface.Slices constructor must be a dict or an instance of :class:`plotly.graph_objs.isosurface.Slices`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) # Import validators # ----------------- from plotly.validators.isosurface import slices as v_slices # Initialize validators # --------------------- self._validators["x"] = v_slices.XValidator() self._validators["y"] = v_slices.YValidator() self._validators["z"] = v_slices.ZValidator() # Populate data dict with properties # ---------------------------------- _v = arg.pop("x", None) self["x"] = x if x is not None else _v _v = arg.pop("y", None) self["y"] = y if y is not None else _v _v = arg.pop("z", None) self["z"] = z if z is not None else _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Lightposition(_BaseTraceHierarchyType): # x # - @property def x(self): """ Numeric vector, representing the X coordinate for each vertex. The 'x' property is a number and may be specified as: - An int or float in the interval [-100000, 100000] Returns ------- int|float """ return self["x"] @x.setter def x(self, val): self["x"] = val # y # - @property def y(self): """ Numeric vector, representing the Y coordinate for each vertex. The 'y' property is a number and may be specified as: - An int or float in the interval [-100000, 100000] Returns ------- int|float """ return self["y"] @y.setter def y(self, val): self["y"] = val # z # - @property def z(self): """ Numeric vector, representing the Z coordinate for each vertex. The 'z' property is a number and may be specified as: - An int or float in the interval [-100000, 100000] Returns ------- int|float """ return self["z"] @z.setter def z(self, val): self["z"] = val # property parent name # -------------------- @property def _parent_path_str(self): return "isosurface" # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ x Numeric vector, representing the X coordinate for each vertex. y Numeric vector, representing the Y coordinate for each vertex. z Numeric vector, representing the Z coordinate for each vertex. """ def __init__(self, arg=None, x=None, y=None, z=None, **kwargs): """ Construct a new Lightposition object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.isosurface.Lightposition` x Numeric vector, representing the X coordinate for each vertex. y Numeric vector, representing the Y coordinate for each vertex. z Numeric vector, representing the Z coordinate for each vertex. Returns ------- Lightposition """ super(Lightposition, self).__init__("lightposition") # 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.isosurface.Lightposition constructor must be a dict or an instance of :class:`plotly.graph_objs.isosurface.Lightposition`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) # Import validators # ----------------- from plotly.validators.isosurface import lightposition as v_lightposition # Initialize validators # --------------------- self._validators["x"] = v_lightposition.XValidator() self._validators["y"] = v_lightposition.YValidator() self._validators["z"] = v_lightposition.ZValidator() # Populate data dict with properties # ---------------------------------- _v = arg.pop("x", None) self["x"] = x if x is not None else _v _v = arg.pop("y", None) self["y"] = y if y is not None else _v _v = arg.pop("z", None) self["z"] = z if z is not None else _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Lighting(_BaseTraceHierarchyType): # ambient # ------- @property def ambient(self): """ Ambient light increases overall color visibility but can wash out the image. The 'ambient' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- int|float """ return self["ambient"] @ambient.setter def ambient(self, val): self["ambient"] = val # diffuse # ------- @property def diffuse(self): """ Represents the extent that incident rays are reflected in a range of angles. The 'diffuse' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- int|float """ return self["diffuse"] @diffuse.setter def diffuse(self, val): self["diffuse"] = val # facenormalsepsilon # ------------------ @property def facenormalsepsilon(self): """ Epsilon for face normals calculation avoids math issues arising from degenerate geometry. The 'facenormalsepsilon' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- int|float """ return self["facenormalsepsilon"] @facenormalsepsilon.setter def facenormalsepsilon(self, val): self["facenormalsepsilon"] = val # fresnel # ------- @property def fresnel(self): """ Represents the reflectance as a dependency of the viewing angle; e.g. paper is reflective when viewing it from the edge of the paper (almost 90 degrees), causing shine. The 'fresnel' property is a number and may be specified as: - An int or float in the interval [0, 5] Returns ------- int|float """ return self["fresnel"] @fresnel.setter def fresnel(self, val): self["fresnel"] = val # roughness # --------- @property def roughness(self): """ Alters specular reflection; the rougher the surface, the wider and less contrasty the shine. The 'roughness' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- int|float """ return self["roughness"] @roughness.setter def roughness(self, val): self["roughness"] = val # specular # -------- @property def specular(self): """ Represents the level that incident rays are reflected in a single direction, causing shine. The 'specular' property is a number and may be specified as: - An int or float in the interval [0, 2] Returns ------- int|float """ return self["specular"] @specular.setter def specular(self, val): self["specular"] = val # vertexnormalsepsilon # -------------------- @property def vertexnormalsepsilon(self): """ Epsilon for vertex normals calculation avoids math issues arising from degenerate geometry. The 'vertexnormalsepsilon' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- int|float """ return self["vertexnormalsepsilon"] @vertexnormalsepsilon.setter def vertexnormalsepsilon(self, val): self["vertexnormalsepsilon"] = val # property parent name # -------------------- @property def _parent_path_str(self): return "isosurface" # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ ambient Ambient light increases overall color visibility but can wash out the image. diffuse Represents the extent that incident rays are reflected in a range of angles. facenormalsepsilon Epsilon for face normals calculation avoids math issues arising from degenerate geometry. fresnel Represents the reflectance as a dependency of the viewing angle; e.g. paper is reflective when viewing it from the edge of the paper (almost 90 degrees), causing shine. roughness Alters specular reflection; the rougher the surface, the wider and less contrasty the shine. specular Represents the level that incident rays are reflected in a single direction, causing shine. vertexnormalsepsilon Epsilon for vertex normals calculation avoids math issues arising from degenerate geometry. """ def __init__( self, arg=None, ambient=None, diffuse=None, facenormalsepsilon=None, fresnel=None, roughness=None, specular=None, vertexnormalsepsilon=None, **kwargs ): """ Construct a new Lighting object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.isosurface.Lighting` ambient Ambient light increases overall color visibility but can wash out the image. diffuse Represents the extent that incident rays are reflected in a range of angles. facenormalsepsilon Epsilon for face normals calculation avoids math issues arising from degenerate geometry. fresnel Represents the reflectance as a dependency of the viewing angle; e.g. paper is reflective when viewing it from the edge of the paper (almost 90 degrees), causing shine. roughness Alters specular reflection; the rougher the surface, the wider and less contrasty the shine. specular Represents the level that incident rays are reflected in a single direction, causing shine. vertexnormalsepsilon Epsilon for vertex normals calculation avoids math issues arising from degenerate geometry. Returns ------- Lighting """ super(Lighting, self).__init__("lighting") # 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.isosurface.Lighting constructor must be a dict or an instance of :class:`plotly.graph_objs.isosurface.Lighting`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) # Import validators # ----------------- from plotly.validators.isosurface import lighting as v_lighting # Initialize validators # --------------------- self._validators["ambient"] = v_lighting.AmbientValidator() self._validators["diffuse"] = v_lighting.DiffuseValidator() self._validators[ "facenormalsepsilon" ] = v_lighting.FacenormalsepsilonValidator() self._validators["fresnel"] = v_lighting.FresnelValidator() self._validators["roughness"] = v_lighting.RoughnessValidator() self._validators["specular"] = v_lighting.SpecularValidator() self._validators[ "vertexnormalsepsilon" ] = v_lighting.VertexnormalsepsilonValidator() # Populate data dict with properties # ---------------------------------- _v = arg.pop("ambient", None) self["ambient"] = ambient if ambient is not None else _v _v = arg.pop("diffuse", None) self["diffuse"] = diffuse if diffuse is not None else _v _v = arg.pop("facenormalsepsilon", None) self["facenormalsepsilon"] = ( facenormalsepsilon if facenormalsepsilon is not None else _v ) _v = arg.pop("fresnel", None) self["fresnel"] = fresnel if fresnel is not None else _v _v = arg.pop("roughness", None) self["roughness"] = roughness if roughness is not None else _v _v = arg.pop("specular", None) self["specular"] = specular if specular is not None else _v _v = arg.pop("vertexnormalsepsilon", None) self["vertexnormalsepsilon"] = ( vertexnormalsepsilon if vertexnormalsepsilon is not None else _v ) # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): # align # ----- @property def align(self): """ 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 The 'align' property is an enumeration that may be specified as: - One of the following enumeration values: ['left', 'right', 'auto'] - A tuple, list, or one-dimensional numpy array of the above Returns ------- Any|numpy.ndarray """ return self["align"] @align.setter def align(self, val): self["align"] = val # alignsrc # -------- @property def alignsrc(self): """ Sets the source reference on plot.ly for align . The 'alignsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["alignsrc"] @alignsrc.setter def alignsrc(self, val): self["alignsrc"] = val # bgcolor # ------- @property def bgcolor(self): """ Sets the background color of the hover labels for this trace The 'bgcolor' 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 list or array of any of the above Returns ------- str|numpy.ndarray """ return self["bgcolor"] @bgcolor.setter def bgcolor(self, val): self["bgcolor"] = val # bgcolorsrc # ---------- @property def bgcolorsrc(self): """ Sets the source reference on plot.ly for bgcolor . The 'bgcolorsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["bgcolorsrc"] @bgcolorsrc.setter def bgcolorsrc(self, val): self["bgcolorsrc"] = val # bordercolor # ----------- @property def bordercolor(self): """ Sets the border color of the hover labels for this trace. The 'bordercolor' 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 list or array of any of the above Returns ------- str|numpy.ndarray """ return self["bordercolor"] @bordercolor.setter def bordercolor(self, val): self["bordercolor"] = val # bordercolorsrc # -------------- @property def bordercolorsrc(self): """ Sets the source reference on plot.ly for bordercolor . The 'bordercolorsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["bordercolorsrc"] @bordercolorsrc.setter def bordercolorsrc(self, val): self["bordercolorsrc"] = val # font # ---- @property def font(self): """ Sets the font used in hover labels. The 'font' property is an instance of Font that may be specified as: - An instance of :class:`plotly.graph_objs.isosurface.hoverlabel.Font` - A dict of string/value properties that will be passed to the Font constructor Supported dict properties: color colorsrc Sets the source reference on plot.ly for 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 plotly service (at https://plot.ly 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". familysrc Sets the source reference on plot.ly for family . size sizesrc Sets the source reference on plot.ly for size . Returns ------- plotly.graph_objs.isosurface.hoverlabel.Font """ return self["font"] @font.setter def font(self, val): self["font"] = val # namelength # ---------- @property def namelength(self): """ 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. The 'namelength' 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] - A tuple, list, or one-dimensional numpy array of the above Returns ------- int|numpy.ndarray """ return self["namelength"] @namelength.setter def namelength(self, val): self["namelength"] = val # namelengthsrc # ------------- @property def namelengthsrc(self): """ Sets the source reference on plot.ly for namelength . The 'namelengthsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["namelengthsrc"] @namelengthsrc.setter def namelengthsrc(self, val): self["namelengthsrc"] = val # property parent name # -------------------- @property def _parent_path_str(self): return "isosurface" # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ 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 plot.ly for align . bgcolor Sets the background color of the hover labels for this trace bgcolorsrc Sets the source reference on plot.ly for bgcolor . bordercolor Sets the border color of the hover labels for this trace. bordercolorsrc Sets the source reference on plot.ly 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 plot.ly for namelength . """ def __init__( self, arg=None, align=None, alignsrc=None, bgcolor=None, bgcolorsrc=None, bordercolor=None, bordercolorsrc=None, font=None, namelength=None, namelengthsrc=None, **kwargs ): """ Construct a new Hoverlabel object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.isosurface.Hoverlabel` 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 plot.ly for align . bgcolor Sets the background color of the hover labels for this trace bgcolorsrc Sets the source reference on plot.ly for bgcolor . bordercolor Sets the border color of the hover labels for this trace. bordercolorsrc Sets the source reference on plot.ly 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 plot.ly for namelength . Returns ------- Hoverlabel """ super(Hoverlabel, self).__init__("hoverlabel") # 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.isosurface.Hoverlabel constructor must be a dict or an instance of :class:`plotly.graph_objs.isosurface.Hoverlabel`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) # Import validators # ----------------- from plotly.validators.isosurface import hoverlabel as v_hoverlabel # Initialize validators # --------------------- self._validators["align"] = v_hoverlabel.AlignValidator() self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator() self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator() self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator() self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator() self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator() self._validators["font"] = v_hoverlabel.FontValidator() self._validators["namelength"] = v_hoverlabel.NamelengthValidator() self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator() # Populate data dict with properties # ---------------------------------- _v = arg.pop("align", None) self["align"] = align if align is not None else _v _v = arg.pop("alignsrc", None) self["alignsrc"] = alignsrc if alignsrc is not None else _v _v = arg.pop("bgcolor", None) self["bgcolor"] = bgcolor if bgcolor is not None else _v _v = arg.pop("bgcolorsrc", None) self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v _v = arg.pop("bordercolor", None) self["bordercolor"] = bordercolor if bordercolor is not None else _v _v = arg.pop("bordercolorsrc", None) self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v _v = arg.pop("font", None) self["font"] = font if font is not None else _v _v = arg.pop("namelength", None) self["namelength"] = namelength if namelength is not None else _v _v = arg.pop("namelengthsrc", None) self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Contour(_BaseTraceHierarchyType): # color # ----- @property def color(self): """ Sets the color of the contour lines. The 'color' 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 Returns ------- str """ return self["color"] @color.setter def color(self, val): self["color"] = val # show # ---- @property def show(self): """ Sets whether or not dynamic contours are shown on hover The 'show' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["show"] @show.setter def show(self, val): self["show"] = val # width # ----- @property def width(self): """ Sets the width of the contour lines. The 'width' property is a number and may be specified as: - An int or float in the interval [1, 16] Returns ------- int|float """ return self["width"] @width.setter def width(self, val): self["width"] = val # property parent name # -------------------- @property def _parent_path_str(self): return "isosurface" # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ color Sets the color of the contour lines. show Sets whether or not dynamic contours are shown on hover width Sets the width of the contour lines. """ def __init__(self, arg=None, color=None, show=None, width=None, **kwargs): """ Construct a new Contour object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.isosurface.Contour` color Sets the color of the contour lines. show Sets whether or not dynamic contours are shown on hover width Sets the width of the contour lines. Returns ------- Contour """ super(Contour, self).__init__("contour") # 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.isosurface.Contour constructor must be a dict or an instance of :class:`plotly.graph_objs.isosurface.Contour`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) # Import validators # ----------------- from plotly.validators.isosurface import contour as v_contour # Initialize validators # --------------------- self._validators["color"] = v_contour.ColorValidator() self._validators["show"] = v_contour.ShowValidator() self._validators["width"] = v_contour.WidthValidator() # Populate data dict with properties # ---------------------------------- _v = arg.pop("color", None) self["color"] = color if color is not None else _v _v = arg.pop("show", None) self["show"] = show if show is not None else _v _v = arg.pop("width", None) self["width"] = width if width is not None else _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class ColorBar(_BaseTraceHierarchyType): # bgcolor # ------- @property def bgcolor(self): """ Sets the color of padded area. The 'bgcolor' 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 Returns ------- str """ return self["bgcolor"] @bgcolor.setter def bgcolor(self, val): self["bgcolor"] = val # bordercolor # ----------- @property def bordercolor(self): """ Sets the axis line color. The 'bordercolor' 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 Returns ------- str """ return self["bordercolor"] @bordercolor.setter def bordercolor(self, val): self["bordercolor"] = val # borderwidth # ----------- @property def borderwidth(self): """ Sets the width (in px) or the border enclosing this color bar. The 'borderwidth' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["borderwidth"] @borderwidth.setter def borderwidth(self, val): self["borderwidth"] = val # dtick # ----- @property def dtick(self): """ 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" The 'dtick' property accepts values of any type Returns ------- Any """ return self["dtick"] @dtick.setter def dtick(self, val): self["dtick"] = val # exponentformat # -------------- @property def exponentformat(self): """ 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. The 'exponentformat' property is an enumeration that may be specified as: - One of the following enumeration values: ['none', 'e', 'E', 'power', 'SI', 'B'] Returns ------- Any """ return self["exponentformat"] @exponentformat.setter def exponentformat(self, val): self["exponentformat"] = val # len # --- @property def len(self): """ 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. The 'len' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["len"] @len.setter def len(self, val): self["len"] = val # lenmode # ------- @property def lenmode(self): """ 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. The 'lenmode' property is an enumeration that may be specified as: - One of the following enumeration values: ['fraction', 'pixels'] Returns ------- Any """ return self["lenmode"] @lenmode.setter def lenmode(self, val): self["lenmode"] = val # nticks # ------ @property def nticks(self): """ 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". The 'nticks' property is a integer and may be specified as: - An int (or float that will be cast to an int) in the interval [0, 9223372036854775807] Returns ------- int """ return self["nticks"] @nticks.setter def nticks(self, val): self["nticks"] = val # outlinecolor # ------------ @property def outlinecolor(self): """ Sets the axis line color. The 'outlinecolor' 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 Returns ------- str """ return self["outlinecolor"] @outlinecolor.setter def outlinecolor(self, val): self["outlinecolor"] = val # outlinewidth # ------------ @property def outlinewidth(self): """ Sets the width (in px) of the axis line. The 'outlinewidth' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["outlinewidth"] @outlinewidth.setter def outlinewidth(self, val): self["outlinewidth"] = val # separatethousands # ----------------- @property def separatethousands(self): """ If "true", even 4-digit integers are separated The 'separatethousands' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["separatethousands"] @separatethousands.setter def separatethousands(self, val): self["separatethousands"] = val # showexponent # ------------ @property def showexponent(self): """ 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. The 'showexponent' property is an enumeration that may be specified as: - One of the following enumeration values: ['all', 'first', 'last', 'none'] Returns ------- Any """ return self["showexponent"] @showexponent.setter def showexponent(self, val): self["showexponent"] = val # showticklabels # -------------- @property def showticklabels(self): """ Determines whether or not the tick labels are drawn. The 'showticklabels' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["showticklabels"] @showticklabels.setter def showticklabels(self, val): self["showticklabels"] = val # showtickprefix # -------------- @property def showtickprefix(self): """ 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. The 'showtickprefix' property is an enumeration that may be specified as: - One of the following enumeration values: ['all', 'first', 'last', 'none'] Returns ------- Any """ return self["showtickprefix"] @showtickprefix.setter def showtickprefix(self, val): self["showtickprefix"] = val # showticksuffix # -------------- @property def showticksuffix(self): """ Same as `showtickprefix` but for tick suffixes. The 'showticksuffix' property is an enumeration that may be specified as: - One of the following enumeration values: ['all', 'first', 'last', 'none'] Returns ------- Any """ return self["showticksuffix"] @showticksuffix.setter def showticksuffix(self, val): self["showticksuffix"] = val # thickness # --------- @property def thickness(self): """ Sets the thickness of the color bar This measure excludes the size of the padding, ticks and labels. The 'thickness' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["thickness"] @thickness.setter def thickness(self, val): self["thickness"] = val # thicknessmode # ------------- @property def thicknessmode(self): """ 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. The 'thicknessmode' property is an enumeration that may be specified as: - One of the following enumeration values: ['fraction', 'pixels'] Returns ------- Any """ return self["thicknessmode"] @thicknessmode.setter def thicknessmode(self, val): self["thicknessmode"] = val # tick0 # ----- @property def tick0(self): """ 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. The 'tick0' property accepts values of any type Returns ------- Any """ return self["tick0"] @tick0.setter def tick0(self, val): self["tick0"] = val # tickangle # --------- @property def tickangle(self): """ Sets the angle of the tick labels with respect to the horizontal. For example, a `tickangle` of -90 draws the tick labels vertically. The 'tickangle' property is a angle (in degrees) that may be specified as a number between -180 and 180. Numeric values outside this range are converted to the equivalent value (e.g. 270 is converted to -90). Returns ------- int|float """ return self["tickangle"] @tickangle.setter def tickangle(self, val): self["tickangle"] = val # tickcolor # --------- @property def tickcolor(self): """ Sets the tick color. The 'tickcolor' 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 Returns ------- str """ return self["tickcolor"] @tickcolor.setter def tickcolor(self, val): self["tickcolor"] = val # tickfont # -------- @property def tickfont(self): """ Sets the color bar's tick label font The 'tickfont' property is an instance of Tickfont that may be specified as: - An instance of :class:`plotly.graph_objs.isosurface.colorbar.Tickfont` - A dict of string/value properties that will be passed to the Tickfont 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 plotly service (at https://plot.ly 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". size Returns ------- plotly.graph_objs.isosurface.colorbar.Tickfont """ return self["tickfont"] @tickfont.setter def tickfont(self, val): self["tickfont"] = val # tickformat # ---------- @property def tickformat(self): """ Sets the tick label formatting rule using d3 formatting mini- languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-3.x-api- reference/blob/master/Formatting.md#d3_format And for dates see: https://github.com/d3/d3-3.x-api- reference/blob/master/Time-Formatting.md#format We add one item to d3's date formatter: "%{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" The 'tickformat' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["tickformat"] @tickformat.setter def tickformat(self, val): self["tickformat"] = val # tickformatstops # --------------- @property def tickformatstops(self): """ The 'tickformatstops' property is a tuple of instances of Tickformatstop that may be specified as: - A list or tuple of instances of plotly.graph_objs.isosurface.colorbar.Tickformatstop - A list or tuple of dicts of string/value properties that will be passed to the Tickformatstop constructor Supported dict properties: dtickrange range [*min*, *max*], where "min", "max" - dtick values which describe some zoom level, it is possible to omit "min" or "max" value by passing "null" enabled Determines whether or not this stop is used. If `false`, this stop is ignored even within its `dtickrange`. name When used in a template, named items are created in the output figure in addition to any items the figure already has in this array. You can modify these items in the output figure by making your own item with `templateitemname` matching this `name` alongside your modifications (including `visible: false` or `enabled: false` to hide it). Has no effect outside of a template. templateitemname Used to refer to a named item in this array in the template. Named items from the template will be created even without a matching item in the input figure, but you can modify one by making an item with `templateitemname` matching its `name`, alongside your modifications (including `visible: false` or `enabled: false` to hide it). If there is no template or no matching item, this item will be hidden unless you explicitly show it with `visible: true`. value string - dtickformat for described zoom level, the same as "tickformat" Returns ------- tuple[plotly.graph_objs.isosurface.colorbar.Tickformatstop] """ return self["tickformatstops"] @tickformatstops.setter def tickformatstops(self, val): self["tickformatstops"] = val # tickformatstopdefaults # ---------------------- @property def tickformatstopdefaults(self): """ When used in a template (as layout.template.data.isosurface.col orbar.tickformatstopdefaults), sets the default property values to use for elements of isosurface.colorbar.tickformatstops The 'tickformatstopdefaults' property is an instance of Tickformatstop that may be specified as: - An instance of :class:`plotly.graph_objs.isosurface.colorbar.Tickformatstop` - A dict of string/value properties that will be passed to the Tickformatstop constructor Supported dict properties: Returns ------- plotly.graph_objs.isosurface.colorbar.Tickformatstop """ return self["tickformatstopdefaults"] @tickformatstopdefaults.setter def tickformatstopdefaults(self, val): self["tickformatstopdefaults"] = val # ticklen # ------- @property def ticklen(self): """ Sets the tick length (in px). The 'ticklen' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["ticklen"] @ticklen.setter def ticklen(self, val): self["ticklen"] = val # tickmode # -------- @property def tickmode(self): """ 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). The 'tickmode' property is an enumeration that may be specified as: - One of the following enumeration values: ['auto', 'linear', 'array'] Returns ------- Any """ return self["tickmode"] @tickmode.setter def tickmode(self, val): self["tickmode"] = val # tickprefix # ---------- @property def tickprefix(self): """ Sets a tick label prefix. The 'tickprefix' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["tickprefix"] @tickprefix.setter def tickprefix(self, val): self["tickprefix"] = val # ticks # ----- @property def ticks(self): """ 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. The 'ticks' property is an enumeration that may be specified as: - One of the following enumeration values: ['outside', 'inside', ''] Returns ------- Any """ return self["ticks"] @ticks.setter def ticks(self, val): self["ticks"] = val # ticksuffix # ---------- @property def ticksuffix(self): """ Sets a tick label suffix. The 'ticksuffix' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["ticksuffix"] @ticksuffix.setter def ticksuffix(self, val): self["ticksuffix"] = val # ticktext # -------- @property def ticktext(self): """ Sets the text displayed at the ticks position via `tickvals`. Only has an effect if `tickmode` is set to "array". Used with `tickvals`. The 'ticktext' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["ticktext"] @ticktext.setter def ticktext(self, val): self["ticktext"] = val # ticktextsrc # ----------- @property def ticktextsrc(self): """ Sets the source reference on plot.ly for ticktext . The 'ticktextsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["ticktextsrc"] @ticktextsrc.setter def ticktextsrc(self, val): self["ticktextsrc"] = val # tickvals # -------- @property def tickvals(self): """ Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`. The 'tickvals' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["tickvals"] @tickvals.setter def tickvals(self, val): self["tickvals"] = val # tickvalssrc # ----------- @property def tickvalssrc(self): """ Sets the source reference on plot.ly for tickvals . The 'tickvalssrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["tickvalssrc"] @tickvalssrc.setter def tickvalssrc(self, val): self["tickvalssrc"] = val # tickwidth # --------- @property def tickwidth(self): """ Sets the tick width (in px). The 'tickwidth' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["tickwidth"] @tickwidth.setter def tickwidth(self, val): self["tickwidth"] = val # title # ----- @property def title(self): """ The 'title' property is an instance of Title that may be specified as: - An instance of :class:`plotly.graph_objs.isosurface.colorbar.Title` - A dict of string/value properties that will be passed to the Title constructor Supported dict properties: font Sets this color bar's title font. Note that the title's font used to be set by the now deprecated `titlefont` attribute. side Determines the location of color bar's title with respect to the color bar. Note that the title's location used to be set by the now deprecated `titleside` attribute. text Sets the title of the color bar. Note that before the existence of `title.text`, the title's contents used to be defined as the `title` attribute itself. This behavior has been deprecated. Returns ------- plotly.graph_objs.isosurface.colorbar.Title """ return self["title"] @title.setter def title(self, val): self["title"] = val # titlefont # --------- @property def titlefont(self): """ Deprecated: Please use isosurface.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. The 'font' property is an instance of Font that may be specified as: - An instance of :class:`plotly.graph_objs.isosurface.colorbar.title.Font` - A dict of string/value properties that will be passed to the Font 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 plotly service (at https://plot.ly 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". size Returns ------- """ return self["titlefont"] @titlefont.setter def titlefont(self, val): self["titlefont"] = val # titleside # --------- @property def titleside(self): """ Deprecated: Please use isosurface.colorbar.title.side instead. Determines the location of color bar's title with respect to the color bar. Note that the title's location used to be set by the now deprecated `titleside` attribute. The 'side' property is an enumeration that may be specified as: - One of the following enumeration values: ['right', 'top', 'bottom'] Returns ------- """ return self["titleside"] @titleside.setter def titleside(self, val): self["titleside"] = val # x # - @property def x(self): """ Sets the x position of the color bar (in plot fraction). The 'x' property is a number and may be specified as: - An int or float in the interval [-2, 3] Returns ------- int|float """ return self["x"] @x.setter def x(self, val): self["x"] = val # xanchor # ------- @property def xanchor(self): """ Sets this color bar's horizontal position anchor. This anchor binds the `x` position to the "left", "center" or "right" of the color bar. The 'xanchor' property is an enumeration that may be specified as: - One of the following enumeration values: ['left', 'center', 'right'] Returns ------- Any """ return self["xanchor"] @xanchor.setter def xanchor(self, val): self["xanchor"] = val # xpad # ---- @property def xpad(self): """ Sets the amount of padding (in px) along the x direction. The 'xpad' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["xpad"] @xpad.setter def xpad(self, val): self["xpad"] = val # y # - @property def y(self): """ Sets the y position of the color bar (in plot fraction). The 'y' property is a number and may be specified as: - An int or float in the interval [-2, 3] Returns ------- int|float """ return self["y"] @y.setter def y(self, val): self["y"] = val # yanchor # ------- @property def yanchor(self): """ Sets this color bar's vertical position anchor This anchor binds the `y` position to the "top", "middle" or "bottom" of the color bar. The 'yanchor' property is an enumeration that may be specified as: - One of the following enumeration values: ['top', 'middle', 'bottom'] Returns ------- Any """ return self["yanchor"] @yanchor.setter def yanchor(self, val): self["yanchor"] = val # ypad # ---- @property def ypad(self): """ Sets the amount of padding (in px) along the y direction. The 'ypad' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["ypad"] @ypad.setter def ypad(self, val): self["ypad"] = val # property parent name # -------------------- @property def _parent_path_str(self): return "isosurface" # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ 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. 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. 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". 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: https://github.com/d3/d3-3.x-api- reference/blob/master/Formatting.md#d3_format And for dates see: https://github.com/d3/d3-3.x-api- reference/blob/master/Time-Formatting.md#format We add one item to d3's date formatter: "%{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.isosurface.colo rbar.Tickformatstop` instances or dicts with compatible properties tickformatstopdefaults When used in a template (as layout.template.data.isosur face.colorbar.tickformatstopdefaults), sets the default property values to use for elements of isosurface.colorbar.tickformatstops 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 plot.ly 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 plot.ly for tickvals . tickwidth Sets the tick width (in px). title :class:`plotly.graph_objects.isosurface.colorbar.Title` instance or dict with compatible properties titlefont Deprecated: Please use isosurface.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 isosurface.colorbar.title.side instead. Determines the location of color bar's title with respect to the color bar. Note that the title's location used to be set by the now deprecated `titleside` attribute. x Sets the x position of the color bar (in plot fraction). 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. xpad Sets the amount of padding (in px) along the x direction. y Sets the y position of the color bar (in plot fraction). 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. ypad Sets the amount of padding (in px) along the y direction. """ _mapped_properties = { "titlefont": ("title", "font"), "titleside": ("title", "side"), } def __init__( self, arg=None, bgcolor=None, bordercolor=None, borderwidth=None, dtick=None, exponentformat=None, len=None, lenmode=None, nticks=None, outlinecolor=None, outlinewidth=None, separatethousands=None, showexponent=None, showticklabels=None, showtickprefix=None, showticksuffix=None, thickness=None, thicknessmode=None, tick0=None, tickangle=None, tickcolor=None, tickfont=None, tickformat=None, tickformatstops=None, tickformatstopdefaults=None, ticklen=None, tickmode=None, tickprefix=None, ticks=None, ticksuffix=None, ticktext=None, ticktextsrc=None, tickvals=None, tickvalssrc=None, tickwidth=None, title=None, titlefont=None, titleside=None, x=None, xanchor=None, xpad=None, y=None, yanchor=None, ypad=None, **kwargs ): """ Construct a new ColorBar object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.isosurface.ColorBar` 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. 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. 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". 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: https://github.com/d3/d3-3.x-api- reference/blob/master/Formatting.md#d3_format And for dates see: https://github.com/d3/d3-3.x-api- reference/blob/master/Time-Formatting.md#format We add one item to d3's date formatter: "%{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.isosurface.colo rbar.Tickformatstop` instances or dicts with compatible properties tickformatstopdefaults When used in a template (as layout.template.data.isosur face.colorbar.tickformatstopdefaults), sets the default property values to use for elements of isosurface.colorbar.tickformatstops 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 plot.ly 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 plot.ly for tickvals . tickwidth Sets the tick width (in px). title :class:`plotly.graph_objects.isosurface.colorbar.Title` instance or dict with compatible properties titlefont Deprecated: Please use isosurface.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 isosurface.colorbar.title.side instead. Determines the location of color bar's title with respect to the color bar. Note that the title's location used to be set by the now deprecated `titleside` attribute. x Sets the x position of the color bar (in plot fraction). 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. xpad Sets the amount of padding (in px) along the x direction. y Sets the y position of the color bar (in plot fraction). 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. ypad Sets the amount of padding (in px) along the y direction. Returns ------- ColorBar """ super(ColorBar, self).__init__("colorbar") # 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.isosurface.ColorBar constructor must be a dict or an instance of :class:`plotly.graph_objs.isosurface.ColorBar`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) # Import validators # ----------------- from plotly.validators.isosurface import colorbar as v_colorbar # Initialize validators # --------------------- self._validators["bgcolor"] = v_colorbar.BgcolorValidator() self._validators["bordercolor"] = v_colorbar.BordercolorValidator() self._validators["borderwidth"] = v_colorbar.BorderwidthValidator() self._validators["dtick"] = v_colorbar.DtickValidator() self._validators["exponentformat"] = v_colorbar.ExponentformatValidator() self._validators["len"] = v_colorbar.LenValidator() self._validators["lenmode"] = v_colorbar.LenmodeValidator() self._validators["nticks"] = v_colorbar.NticksValidator() self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator() self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator() self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator() self._validators["showexponent"] = v_colorbar.ShowexponentValidator() self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator() self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator() self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator() self._validators["thickness"] = v_colorbar.ThicknessValidator() self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator() self._validators["tick0"] = v_colorbar.Tick0Validator() self._validators["tickangle"] = v_colorbar.TickangleValidator() self._validators["tickcolor"] = v_colorbar.TickcolorValidator() self._validators["tickfont"] = v_colorbar.TickfontValidator() self._validators["tickformat"] = v_colorbar.TickformatValidator() self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator() self._validators[ "tickformatstopdefaults" ] = v_colorbar.TickformatstopValidator() self._validators["ticklen"] = v_colorbar.TicklenValidator() self._validators["tickmode"] = v_colorbar.TickmodeValidator() self._validators["tickprefix"] = v_colorbar.TickprefixValidator() self._validators["ticks"] = v_colorbar.TicksValidator() self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator() self._validators["ticktext"] = v_colorbar.TicktextValidator() self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator() self._validators["tickvals"] = v_colorbar.TickvalsValidator() self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator() self._validators["tickwidth"] = v_colorbar.TickwidthValidator() self._validators["title"] = v_colorbar.TitleValidator() self._validators["x"] = v_colorbar.XValidator() self._validators["xanchor"] = v_colorbar.XanchorValidator() self._validators["xpad"] = v_colorbar.XpadValidator() self._validators["y"] = v_colorbar.YValidator() self._validators["yanchor"] = v_colorbar.YanchorValidator() self._validators["ypad"] = v_colorbar.YpadValidator() # Populate data dict with properties # ---------------------------------- _v = arg.pop("bgcolor", None) self["bgcolor"] = bgcolor if bgcolor is not None else _v _v = arg.pop("bordercolor", None) self["bordercolor"] = bordercolor if bordercolor is not None else _v _v = arg.pop("borderwidth", None) self["borderwidth"] = borderwidth if borderwidth is not None else _v _v = arg.pop("dtick", None) self["dtick"] = dtick if dtick is not None else _v _v = arg.pop("exponentformat", None) self["exponentformat"] = exponentformat if exponentformat is not None else _v _v = arg.pop("len", None) self["len"] = len if len is not None else _v _v = arg.pop("lenmode", None) self["lenmode"] = lenmode if lenmode is not None else _v _v = arg.pop("nticks", None) self["nticks"] = nticks if nticks is not None else _v _v = arg.pop("outlinecolor", None) self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v _v = arg.pop("outlinewidth", None) self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v _v = arg.pop("separatethousands", None) self["separatethousands"] = ( separatethousands if separatethousands is not None else _v ) _v = arg.pop("showexponent", None) self["showexponent"] = showexponent if showexponent is not None else _v _v = arg.pop("showticklabels", None) self["showticklabels"] = showticklabels if showticklabels is not None else _v _v = arg.pop("showtickprefix", None) self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v _v = arg.pop("showticksuffix", None) self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v _v = arg.pop("thickness", None) self["thickness"] = thickness if thickness is not None else _v _v = arg.pop("thicknessmode", None) self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v _v = arg.pop("tick0", None) self["tick0"] = tick0 if tick0 is not None else _v _v = arg.pop("tickangle", None) self["tickangle"] = tickangle if tickangle is not None else _v _v = arg.pop("tickcolor", None) self["tickcolor"] = tickcolor if tickcolor is not None else _v _v = arg.pop("tickfont", None) self["tickfont"] = tickfont if tickfont is not None else _v _v = arg.pop("tickformat", None) self["tickformat"] = tickformat if tickformat is not None else _v _v = arg.pop("tickformatstops", None) self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v _v = arg.pop("tickformatstopdefaults", None) self["tickformatstopdefaults"] = ( tickformatstopdefaults if tickformatstopdefaults is not None else _v ) _v = arg.pop("ticklen", None) self["ticklen"] = ticklen if ticklen is not None else _v _v = arg.pop("tickmode", None) self["tickmode"] = tickmode if tickmode is not None else _v _v = arg.pop("tickprefix", None) self["tickprefix"] = tickprefix if tickprefix is not None else _v _v = arg.pop("ticks", None) self["ticks"] = ticks if ticks is not None else _v _v = arg.pop("ticksuffix", None) self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v _v = arg.pop("ticktext", None) self["ticktext"] = ticktext if ticktext is not None else _v _v = arg.pop("ticktextsrc", None) self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v _v = arg.pop("tickvals", None) self["tickvals"] = tickvals if tickvals is not None else _v _v = arg.pop("tickvalssrc", None) self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v _v = arg.pop("tickwidth", None) self["tickwidth"] = tickwidth if tickwidth is not None else _v _v = arg.pop("title", None) self["title"] = title if title is not None else _v _v = arg.pop("titlefont", None) _v = titlefont if titlefont is not None else _v if _v is not None: self["titlefont"] = _v _v = arg.pop("titleside", None) _v = titleside if titleside is not None else _v if _v is not None: self["titleside"] = _v _v = arg.pop("x", None) self["x"] = x if x is not None else _v _v = arg.pop("xanchor", None) self["xanchor"] = xanchor if xanchor is not None else _v _v = arg.pop("xpad", None) self["xpad"] = xpad if xpad is not None else _v _v = arg.pop("y", None) self["y"] = y if y is not None else _v _v = arg.pop("yanchor", None) self["yanchor"] = yanchor if yanchor is not None else _v _v = arg.pop("ypad", None) self["ypad"] = ypad if ypad is not None else _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Caps(_BaseTraceHierarchyType): # x # - @property def x(self): """ The 'x' property is an instance of X that may be specified as: - An instance of :class:`plotly.graph_objs.isosurface.caps.X` - A dict of string/value properties that will be passed to the X constructor Supported dict properties: fill Sets the fill ratio of the `caps`. The default fill value of the `caps` is 1 meaning that they are entirely shaded. On the other hand Applying a `fill` ratio less than one would allow the creation of openings parallel to the edges. show Sets the fill ratio of the `slices`. The default fill value of the x `slices` is 1 meaning that they are entirely shaded. On the other hand Applying a `fill` ratio less than one would allow the creation of openings parallel to the edges. Returns ------- plotly.graph_objs.isosurface.caps.X """ return self["x"] @x.setter def x(self, val): self["x"] = val # y # - @property def y(self): """ The 'y' property is an instance of Y that may be specified as: - An instance of :class:`plotly.graph_objs.isosurface.caps.Y` - A dict of string/value properties that will be passed to the Y constructor Supported dict properties: fill Sets the fill ratio of the `caps`. The default fill value of the `caps` is 1 meaning that they are entirely shaded. On the other hand Applying a `fill` ratio less than one would allow the creation of openings parallel to the edges. show Sets the fill ratio of the `slices`. The default fill value of the y `slices` is 1 meaning that they are entirely shaded. On the other hand Applying a `fill` ratio less than one would allow the creation of openings parallel to the edges. Returns ------- plotly.graph_objs.isosurface.caps.Y """ return self["y"] @y.setter def y(self, val): self["y"] = val # z # - @property def z(self): """ The 'z' property is an instance of Z that may be specified as: - An instance of :class:`plotly.graph_objs.isosurface.caps.Z` - A dict of string/value properties that will be passed to the Z constructor Supported dict properties: fill Sets the fill ratio of the `caps`. The default fill value of the `caps` is 1 meaning that they are entirely shaded. On the other hand Applying a `fill` ratio less than one would allow the creation of openings parallel to the edges. show Sets the fill ratio of the `slices`. The default fill value of the z `slices` is 1 meaning that they are entirely shaded. On the other hand Applying a `fill` ratio less than one would allow the creation of openings parallel to the edges. Returns ------- plotly.graph_objs.isosurface.caps.Z """ return self["z"] @z.setter def z(self, val): self["z"] = val # property parent name # -------------------- @property def _parent_path_str(self): return "isosurface" # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ x :class:`plotly.graph_objects.isosurface.caps.X` instance or dict with compatible properties y :class:`plotly.graph_objects.isosurface.caps.Y` instance or dict with compatible properties z :class:`plotly.graph_objects.isosurface.caps.Z` instance or dict with compatible properties """ def __init__(self, arg=None, x=None, y=None, z=None, **kwargs): """ Construct a new Caps object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.isosurface.Caps` x :class:`plotly.graph_objects.isosurface.caps.X` instance or dict with compatible properties y :class:`plotly.graph_objects.isosurface.caps.Y` instance or dict with compatible properties z :class:`plotly.graph_objects.isosurface.caps.Z` instance or dict with compatible properties Returns ------- Caps """ super(Caps, self).__init__("caps") # 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.isosurface.Caps constructor must be a dict or an instance of :class:`plotly.graph_objs.isosurface.Caps`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) # Import validators # ----------------- from plotly.validators.isosurface import caps as v_caps # Initialize validators # --------------------- self._validators["x"] = v_caps.XValidator() self._validators["y"] = v_caps.YValidator() self._validators["z"] = v_caps.ZValidator() # Populate data dict with properties # ---------------------------------- _v = arg.pop("x", None) self["x"] = x if x is not None else _v _v = arg.pop("y", None) self["y"] = y if y is not None else _v _v = arg.pop("z", None) self["z"] = z if z is not None else _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False __all__ = [ "Caps", "ColorBar", "Contour", "Hoverlabel", "Lighting", "Lightposition", "Slices", "Spaceframe", "Stream", "Surface", "caps", "colorbar", "hoverlabel", "slices", ] from plotly.graph_objs.isosurface import slices from plotly.graph_objs.isosurface import hoverlabel from plotly.graph_objs.isosurface import colorbar from plotly.graph_objs.isosurface import caps