from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Tickfont(_BaseTraceHierarchyType): # color # ----- @property def color(self): """ 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 # family # ------ @property def family(self): """ 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". The 'family' property is a string and must be specified as: - A non-empty string Returns ------- str """ return self["family"] @family.setter def family(self, val): self["family"] = val # size # ---- @property def size(self): """ The 'size' property is a number and may be specified as: - An int or float in the interval [1, inf] Returns ------- int|float """ return self["size"] @size.setter def size(self, val): self["size"] = val # property parent name # -------------------- @property def _parent_path_str(self): return "parcats" # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ 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 """ def __init__(self, arg=None, color=None, family=None, size=None, **kwargs): """ Construct a new Tickfont object Sets the font for the `category` labels. Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.parcats.Tickfont` 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 ------- Tickfont """ super(Tickfont, self).__init__("tickfont") # 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.parcats.Tickfont constructor must be a dict or an instance of :class:`plotly.graph_objs.parcats.Tickfont`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) # Import validators # ----------------- from plotly.validators.parcats import tickfont as v_tickfont # Initialize validators # --------------------- self._validators["color"] = v_tickfont.ColorValidator() self._validators["family"] = v_tickfont.FamilyValidator() self._validators["size"] = v_tickfont.SizeValidator() # Populate data dict with properties # ---------------------------------- _v = arg.pop("color", None) self["color"] = color if color is not None else _v _v = arg.pop("family", None) self["family"] = family if family is not None else _v _v = arg.pop("size", None) self["size"] = size if size 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 "parcats" # 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.parcats.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.parcats.Stream constructor must be a dict or an instance of :class:`plotly.graph_objs.parcats.Stream`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) # Import validators # ----------------- from plotly.validators.parcats 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 Line(_BaseTraceHierarchyType): # autocolorscale # -------------- @property def autocolorscale(self): """ Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `line.colorscale`. Has an effect only if in `line.color`is set to a numerical array. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed. The 'autocolorscale' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["autocolorscale"] @autocolorscale.setter def autocolorscale(self, val): self["autocolorscale"] = val # cauto # ----- @property def cauto(self): """ Determines whether or not the color domain is computed with respect to the input data (here in `line.color`) or the bounds set in `line.cmin` and `line.cmax` Has an effect only if in `line.color`is set to a numerical array. Defaults to `false` when `line.cmin` and `line.cmax` are set by the user. The 'cauto' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["cauto"] @cauto.setter def cauto(self, val): self["cauto"] = val # cmax # ---- @property def cmax(self): """ Sets the upper bound of the color domain. Has an effect only if in `line.color`is set to a numerical array. Value should have the same units as in `line.color` and if set, `line.cmin` must be set as well. The 'cmax' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["cmax"] @cmax.setter def cmax(self, val): self["cmax"] = val # cmid # ---- @property def cmid(self): """ Sets the mid-point of the color domain by scaling `line.cmin` and/or `line.cmax` to be equidistant to this point. Has an effect only if in `line.color`is set to a numerical array. Value should have the same units as in `line.color`. Has no effect when `line.cauto` is `false`. The 'cmid' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["cmid"] @cmid.setter def cmid(self, val): self["cmid"] = val # cmin # ---- @property def cmin(self): """ Sets the lower bound of the color domain. Has an effect only if in `line.color`is set to a numerical array. Value should have the same units as in `line.color` and if set, `line.cmax` must be set as well. The 'cmin' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["cmin"] @cmin.setter def cmin(self, val): self["cmin"] = val # color # ----- @property def color(self): """ Sets thelinecolor. It accepts either a specific color or an array of numbers that are mapped to the colorscale relative to the max and min values of the array or relative to `line.cmin` and `line.cmax` if set. 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 - A number that will be interpreted as a color according to parcats.line.colorscale - A list or array of any of the above Returns ------- str|numpy.ndarray """ return self["color"] @color.setter def color(self, val): self["color"] = val # coloraxis # --------- @property def coloraxis(self): """ Sets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis. The 'coloraxis' property is an identifier of a particular subplot, of type 'coloraxis', that may be specified as the string 'coloraxis' optionally followed by an integer >= 1 (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.) Returns ------- str """ return self["coloraxis"] @coloraxis.setter def coloraxis(self, val): self["coloraxis"] = val # colorbar # -------- @property def colorbar(self): """ The 'colorbar' property is an instance of ColorBar that may be specified as: - An instance of :class:`plotly.graph_objs.parcats.line.ColorBar` - A dict of string/value properties that will be passed to the ColorBar constructor Supported dict properties: bgcolor Sets the color of padded area. bordercolor Sets the axis line color. borderwidth Sets the width (in px) or the border enclosing this color bar. dtick Sets the step in-between ticks on this axis. Use with `tick0`. Must be a positive number, or special strings available to "log" and "date" axes. If the axis `type` is "log", then ticks are set every 10^(n*dtick) where n is the tick number. For example, to set a tick mark at 1, 10, 100, 1000, ... set dtick to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2. To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to log_10(5), or 0.69897000433. "log" has several special values; "L", where `f` is a positive number, gives ticks linearly spaced in value (but not position). For example `tick0` = 0.1, `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus small digits between, use "D1" (all digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and "D2". If the axis `type` is "date", then you must convert the time to milliseconds. For example, to set the interval between ticks to one day, set `dtick` to 86400000.0. "date" also has special values "M" gives ticks spaced by a number of months. `n` must be a positive integer. To set ticks on the 15th of every third month, set `tick0` to "2000-01-15" and `dtick` to "M3". To set ticks every 4 years, set `dtick` to "M48" exponentformat Determines a formatting rule for the tick exponents. For example, consider the number 1,000,000,000. If "none", it appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If "B", 1B. 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.parcats .line.colorbar.Tickformatstop` instances or dicts with compatible properties tickformatstopdefaults When used in a template (as layout.template.dat a.parcats.line.colorbar.tickformatstopdefaults) , sets the default property values to use for elements of parcats.line.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.parcats.line.color bar.Title` instance or dict with compatible properties titlefont Deprecated: Please use parcats.line.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 parcats.line.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 ------- plotly.graph_objs.parcats.line.ColorBar """ return self["colorbar"] @colorbar.setter def colorbar(self, val): self["colorbar"] = val # colorscale # ---------- @property def colorscale(self): """ Sets the colorscale. Has an effect only if in `line.color`is set to a numerical array. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use`line.cmin` and `line.cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Greys,YlGnBu,Gr eens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet ,Hot,Blackbody,Earth,Electric,Viridis,Cividis. The 'colorscale' property is a colorscale and may be specified as: - A list of colors that will be spaced evenly to create the colorscale. Many predefined colorscale lists are included in the sequential, diverging, and cyclical modules in the plotly.colors package. - A list of 2-element lists where the first element is the normalized color level value (starting at 0 and ending at 1), and the second item is a valid color string. (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']]) - One of the following named colorscales: ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance', 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg', 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl', 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric', 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys', 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet', 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges', 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg', 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor', 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy', 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral', 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose', 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight', 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd']. Appending '_r' to a named colorscale reverses it. Returns ------- str """ return self["colorscale"] @colorscale.setter def colorscale(self, val): self["colorscale"] = val # colorsrc # -------- @property def colorsrc(self): """ Sets the source reference on plot.ly for color . The 'colorsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["colorsrc"] @colorsrc.setter def colorsrc(self, val): self["colorsrc"] = val # hovertemplate # ------------- @property def hovertemplate(self): """ Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api- reference/blob/master/Formatting.md#d3_format for details on the formatting syntax. Dates are formatted using d3-time- format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api- reference/blob/master/Time-Formatting.md#format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plot.ly/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per- point (the ones that are `arrayOk: true`) are available. variables `count` and `probability`. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. The 'hovertemplate' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["hovertemplate"] @hovertemplate.setter def hovertemplate(self, val): self["hovertemplate"] = val # reversescale # ------------ @property def reversescale(self): """ Reverses the color mapping if true. Has an effect only if in `line.color`is set to a numerical array. If true, `line.cmin` will correspond to the last color in the array and `line.cmax` will correspond to the first color. The 'reversescale' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["reversescale"] @reversescale.setter def reversescale(self, val): self["reversescale"] = val # shape # ----- @property def shape(self): """ Sets the shape of the paths. If `linear`, paths are composed of straight lines. If `hspline`, paths are composed of horizontal curved splines The 'shape' property is an enumeration that may be specified as: - One of the following enumeration values: ['linear', 'hspline'] Returns ------- Any """ return self["shape"] @shape.setter def shape(self, val): self["shape"] = val # showscale # --------- @property def showscale(self): """ Determines whether or not a colorbar is displayed for this trace. Has an effect only if in `line.color`is set to a numerical array. The 'showscale' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["showscale"] @showscale.setter def showscale(self, val): self["showscale"] = val # property parent name # -------------------- @property def _parent_path_str(self): return "parcats" # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `line.colorscale`. Has an effect only if in `line.color`is set to a numerical array. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed. cauto Determines whether or not the color domain is computed with respect to the input data (here in `line.color`) or the bounds set in `line.cmin` and `line.cmax` Has an effect only if in `line.color`is set to a numerical array. Defaults to `false` when `line.cmin` and `line.cmax` are set by the user. cmax Sets the upper bound of the color domain. Has an effect only if in `line.color`is set to a numerical array. Value should have the same units as in `line.color` and if set, `line.cmin` must be set as well. cmid Sets the mid-point of the color domain by scaling `line.cmin` and/or `line.cmax` to be equidistant to this point. Has an effect only if in `line.color`is set to a numerical array. Value should have the same units as in `line.color`. Has no effect when `line.cauto` is `false`. cmin Sets the lower bound of the color domain. Has an effect only if in `line.color`is set to a numerical array. Value should have the same units as in `line.color` and if set, `line.cmax` must be set as well. color Sets thelinecolor. It accepts either a specific color or an array of numbers that are mapped to the colorscale relative to the max and min values of the array or relative to `line.cmin` and `line.cmax` if set. coloraxis Sets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis. colorbar :class:`plotly.graph_objects.parcats.line.ColorBar` instance or dict with compatible properties colorscale Sets the colorscale. Has an effect only if in `line.color`is set to a numerical array. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use`line.cmin` and `line.cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Greys,YlGnBu ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,P ortland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividi s. colorsrc Sets the source reference on plot.ly for color . hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api- reference/blob/master/Formatting.md#d3_format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time- format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api- reference/blob/master/Time-Formatting.md#format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plot.ly/javascript/plotlyjs-events/#event-data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. variables `count` and `probability`. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. reversescale Reverses the color mapping if true. Has an effect only if in `line.color`is set to a numerical array. If true, `line.cmin` will correspond to the last color in the array and `line.cmax` will correspond to the first color. shape Sets the shape of the paths. If `linear`, paths are composed of straight lines. If `hspline`, paths are composed of horizontal curved splines showscale Determines whether or not a colorbar is displayed for this trace. Has an effect only if in `line.color`is set to a numerical array. """ def __init__( self, arg=None, autocolorscale=None, cauto=None, cmax=None, cmid=None, cmin=None, color=None, coloraxis=None, colorbar=None, colorscale=None, colorsrc=None, hovertemplate=None, reversescale=None, shape=None, showscale=None, **kwargs ): """ Construct a new Line object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.parcats.Line` autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `line.colorscale`. Has an effect only if in `line.color`is set to a numerical array. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed. cauto Determines whether or not the color domain is computed with respect to the input data (here in `line.color`) or the bounds set in `line.cmin` and `line.cmax` Has an effect only if in `line.color`is set to a numerical array. Defaults to `false` when `line.cmin` and `line.cmax` are set by the user. cmax Sets the upper bound of the color domain. Has an effect only if in `line.color`is set to a numerical array. Value should have the same units as in `line.color` and if set, `line.cmin` must be set as well. cmid Sets the mid-point of the color domain by scaling `line.cmin` and/or `line.cmax` to be equidistant to this point. Has an effect only if in `line.color`is set to a numerical array. Value should have the same units as in `line.color`. Has no effect when `line.cauto` is `false`. cmin Sets the lower bound of the color domain. Has an effect only if in `line.color`is set to a numerical array. Value should have the same units as in `line.color` and if set, `line.cmax` must be set as well. color Sets thelinecolor. It accepts either a specific color or an array of numbers that are mapped to the colorscale relative to the max and min values of the array or relative to `line.cmin` and `line.cmax` if set. coloraxis Sets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis. colorbar :class:`plotly.graph_objects.parcats.line.ColorBar` instance or dict with compatible properties colorscale Sets the colorscale. Has an effect only if in `line.color`is set to a numerical array. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use`line.cmin` and `line.cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Greys,YlGnBu ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,P ortland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividi s. colorsrc Sets the source reference on plot.ly for color . hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api- reference/blob/master/Formatting.md#d3_format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time- format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api- reference/blob/master/Time-Formatting.md#format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plot.ly/javascript/plotlyjs-events/#event-data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. variables `count` and `probability`. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. reversescale Reverses the color mapping if true. Has an effect only if in `line.color`is set to a numerical array. If true, `line.cmin` will correspond to the last color in the array and `line.cmax` will correspond to the first color. shape Sets the shape of the paths. If `linear`, paths are composed of straight lines. If `hspline`, paths are composed of horizontal curved splines showscale Determines whether or not a colorbar is displayed for this trace. Has an effect only if in `line.color`is set to a numerical array. Returns ------- Line """ super(Line, self).__init__("line") # 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.parcats.Line constructor must be a dict or an instance of :class:`plotly.graph_objs.parcats.Line`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) # Import validators # ----------------- from plotly.validators.parcats import line as v_line # Initialize validators # --------------------- self._validators["autocolorscale"] = v_line.AutocolorscaleValidator() self._validators["cauto"] = v_line.CautoValidator() self._validators["cmax"] = v_line.CmaxValidator() self._validators["cmid"] = v_line.CmidValidator() self._validators["cmin"] = v_line.CminValidator() self._validators["color"] = v_line.ColorValidator() self._validators["coloraxis"] = v_line.ColoraxisValidator() self._validators["colorbar"] = v_line.ColorBarValidator() self._validators["colorscale"] = v_line.ColorscaleValidator() self._validators["colorsrc"] = v_line.ColorsrcValidator() self._validators["hovertemplate"] = v_line.HovertemplateValidator() self._validators["reversescale"] = v_line.ReversescaleValidator() self._validators["shape"] = v_line.ShapeValidator() self._validators["showscale"] = v_line.ShowscaleValidator() # Populate data dict with properties # ---------------------------------- _v = arg.pop("autocolorscale", None) self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v _v = arg.pop("cauto", None) self["cauto"] = cauto if cauto is not None else _v _v = arg.pop("cmax", None) self["cmax"] = cmax if cmax is not None else _v _v = arg.pop("cmid", None) self["cmid"] = cmid if cmid is not None else _v _v = arg.pop("cmin", None) self["cmin"] = cmin if cmin is not None else _v _v = arg.pop("color", None) self["color"] = color if color is not None else _v _v = arg.pop("coloraxis", None) self["coloraxis"] = coloraxis if coloraxis is not None else _v _v = arg.pop("colorbar", None) self["colorbar"] = colorbar if colorbar is not None else _v _v = arg.pop("colorscale", None) self["colorscale"] = colorscale if colorscale is not None else _v _v = arg.pop("colorsrc", None) self["colorsrc"] = colorsrc if colorsrc is not None else _v _v = arg.pop("hovertemplate", None) self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v _v = arg.pop("reversescale", None) self["reversescale"] = reversescale if reversescale is not None else _v _v = arg.pop("shape", None) self["shape"] = shape if shape is not None else _v _v = arg.pop("showscale", None) self["showscale"] = showscale if showscale 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 Labelfont(_BaseTraceHierarchyType): # color # ----- @property def color(self): """ 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 # family # ------ @property def family(self): """ 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". The 'family' property is a string and must be specified as: - A non-empty string Returns ------- str """ return self["family"] @family.setter def family(self, val): self["family"] = val # size # ---- @property def size(self): """ The 'size' property is a number and may be specified as: - An int or float in the interval [1, inf] Returns ------- int|float """ return self["size"] @size.setter def size(self, val): self["size"] = val # property parent name # -------------------- @property def _parent_path_str(self): return "parcats" # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ 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 """ def __init__(self, arg=None, color=None, family=None, size=None, **kwargs): """ Construct a new Labelfont object Sets the font for the `dimension` labels. Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.parcats.Labelfont` 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 ------- Labelfont """ super(Labelfont, self).__init__("labelfont") # 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.parcats.Labelfont constructor must be a dict or an instance of :class:`plotly.graph_objs.parcats.Labelfont`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) # Import validators # ----------------- from plotly.validators.parcats import labelfont as v_labelfont # Initialize validators # --------------------- self._validators["color"] = v_labelfont.ColorValidator() self._validators["family"] = v_labelfont.FamilyValidator() self._validators["size"] = v_labelfont.SizeValidator() # Populate data dict with properties # ---------------------------------- _v = arg.pop("color", None) self["color"] = color if color is not None else _v _v = arg.pop("family", None) self["family"] = family if family is not None else _v _v = arg.pop("size", None) self["size"] = size if size 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 Domain(_BaseTraceHierarchyType): # column # ------ @property def column(self): """ If there is a layout grid, use the domain for this column in the grid for this parcats trace . The 'column' 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["column"] @column.setter def column(self, val): self["column"] = val # row # --- @property def row(self): """ If there is a layout grid, use the domain for this row in the grid for this parcats trace . The 'row' 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["row"] @row.setter def row(self, val): self["row"] = val # x # - @property def x(self): """ Sets the horizontal domain of this parcats trace (in plot fraction). The 'x' property is an info array that may be specified as: * a list or tuple of 2 elements where: (0) The 'x[0]' property is a number and may be specified as: - An int or float in the interval [0, 1] (1) The 'x[1]' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- list """ return self["x"] @x.setter def x(self, val): self["x"] = val # y # - @property def y(self): """ Sets the vertical domain of this parcats trace (in plot fraction). The 'y' property is an info array that may be specified as: * a list or tuple of 2 elements where: (0) The 'y[0]' property is a number and may be specified as: - An int or float in the interval [0, 1] (1) The 'y[1]' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- list """ return self["y"] @y.setter def y(self, val): self["y"] = val # property parent name # -------------------- @property def _parent_path_str(self): return "parcats" # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ column If there is a layout grid, use the domain for this column in the grid for this parcats trace . row If there is a layout grid, use the domain for this row in the grid for this parcats trace . x Sets the horizontal domain of this parcats trace (in plot fraction). y Sets the vertical domain of this parcats trace (in plot fraction). """ def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs): """ Construct a new Domain object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.parcats.Domain` column If there is a layout grid, use the domain for this column in the grid for this parcats trace . row If there is a layout grid, use the domain for this row in the grid for this parcats trace . x Sets the horizontal domain of this parcats trace (in plot fraction). y Sets the vertical domain of this parcats trace (in plot fraction). Returns ------- Domain """ super(Domain, self).__init__("domain") # 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.parcats.Domain constructor must be a dict or an instance of :class:`plotly.graph_objs.parcats.Domain`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) # Import validators # ----------------- from plotly.validators.parcats import domain as v_domain # Initialize validators # --------------------- self._validators["column"] = v_domain.ColumnValidator() self._validators["row"] = v_domain.RowValidator() self._validators["x"] = v_domain.XValidator() self._validators["y"] = v_domain.YValidator() # Populate data dict with properties # ---------------------------------- _v = arg.pop("column", None) self["column"] = column if column is not None else _v _v = arg.pop("row", None) self["row"] = row if row is not None else _v _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 # 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 Dimension(_BaseTraceHierarchyType): # categoryarray # ------------- @property def categoryarray(self): """ Sets the order in which categories in this dimension appear. Only has an effect if `categoryorder` is set to "array". Used with `categoryorder`. The 'categoryarray' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["categoryarray"] @categoryarray.setter def categoryarray(self, val): self["categoryarray"] = val # categoryarraysrc # ---------------- @property def categoryarraysrc(self): """ Sets the source reference on plot.ly for categoryarray . The 'categoryarraysrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["categoryarraysrc"] @categoryarraysrc.setter def categoryarraysrc(self, val): self["categoryarraysrc"] = val # categoryorder # ------------- @property def categoryorder(self): """ Specifies the ordering logic for the categories in the dimension. By default, plotly uses "trace", which specifies the order that is present in the data supplied. Set `categoryorder` to *category ascending* or *category descending* if order should be determined by the alphanumerical order of the category names. Set `categoryorder` to "array" to derive the ordering from the attribute `categoryarray`. If a category is not found in the `categoryarray` array, the sorting behavior for that attribute will be identical to the "trace" mode. The unspecified categories will follow the categories in `categoryarray`. The 'categoryorder' property is an enumeration that may be specified as: - One of the following enumeration values: ['trace', 'category ascending', 'category descending', 'array'] Returns ------- Any """ return self["categoryorder"] @categoryorder.setter def categoryorder(self, val): self["categoryorder"] = val # displayindex # ------------ @property def displayindex(self): """ The display index of dimension, from left to right, zero indexed, defaults to dimension index. The 'displayindex' property is a integer and may be specified as: - An int (or float that will be cast to an int) Returns ------- int """ return self["displayindex"] @displayindex.setter def displayindex(self, val): self["displayindex"] = val # label # ----- @property def label(self): """ The shown name of the dimension. The 'label' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["label"] @label.setter def label(self, val): self["label"] = val # ticktext # -------- @property def ticktext(self): """ Sets alternative tick labels for the categories in this dimension. Only has an effect if `categoryorder` is set to "array". Should be an array the same length as `categoryarray` Used with `categoryorder`. 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 # values # ------ @property def values(self): """ Dimension values. `values[n]` represents the category value of the `n`th point in the dataset, therefore the `values` vector for all dimensions must be the same (longer vectors will be truncated). The 'values' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["values"] @values.setter def values(self, val): self["values"] = val # valuessrc # --------- @property def valuessrc(self): """ Sets the source reference on plot.ly for values . The 'valuessrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["valuessrc"] @valuessrc.setter def valuessrc(self, val): self["valuessrc"] = val # visible # ------- @property def visible(self): """ Shows the dimension when set to `true` (the default). Hides the dimension for `false`. The 'visible' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["visible"] @visible.setter def visible(self, val): self["visible"] = val # property parent name # -------------------- @property def _parent_path_str(self): return "parcats" # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ categoryarray Sets the order in which categories in this dimension appear. Only has an effect if `categoryorder` is set to "array". Used with `categoryorder`. categoryarraysrc Sets the source reference on plot.ly for categoryarray . categoryorder Specifies the ordering logic for the categories in the dimension. By default, plotly uses "trace", which specifies the order that is present in the data supplied. Set `categoryorder` to *category ascending* or *category descending* if order should be determined by the alphanumerical order of the category names. Set `categoryorder` to "array" to derive the ordering from the attribute `categoryarray`. If a category is not found in the `categoryarray` array, the sorting behavior for that attribute will be identical to the "trace" mode. The unspecified categories will follow the categories in `categoryarray`. displayindex The display index of dimension, from left to right, zero indexed, defaults to dimension index. label The shown name of the dimension. ticktext Sets alternative tick labels for the categories in this dimension. Only has an effect if `categoryorder` is set to "array". Should be an array the same length as `categoryarray` Used with `categoryorder`. ticktextsrc Sets the source reference on plot.ly for ticktext . values Dimension values. `values[n]` represents the category value of the `n`th point in the dataset, therefore the `values` vector for all dimensions must be the same (longer vectors will be truncated). valuessrc Sets the source reference on plot.ly for values . visible Shows the dimension when set to `true` (the default). Hides the dimension for `false`. """ def __init__( self, arg=None, categoryarray=None, categoryarraysrc=None, categoryorder=None, displayindex=None, label=None, ticktext=None, ticktextsrc=None, values=None, valuessrc=None, visible=None, **kwargs ): """ Construct a new Dimension object The dimensions (variables) of the parallel categories diagram. Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.parcats.Dimension` categoryarray Sets the order in which categories in this dimension appear. Only has an effect if `categoryorder` is set to "array". Used with `categoryorder`. categoryarraysrc Sets the source reference on plot.ly for categoryarray . categoryorder Specifies the ordering logic for the categories in the dimension. By default, plotly uses "trace", which specifies the order that is present in the data supplied. Set `categoryorder` to *category ascending* or *category descending* if order should be determined by the alphanumerical order of the category names. Set `categoryorder` to "array" to derive the ordering from the attribute `categoryarray`. If a category is not found in the `categoryarray` array, the sorting behavior for that attribute will be identical to the "trace" mode. The unspecified categories will follow the categories in `categoryarray`. displayindex The display index of dimension, from left to right, zero indexed, defaults to dimension index. label The shown name of the dimension. ticktext Sets alternative tick labels for the categories in this dimension. Only has an effect if `categoryorder` is set to "array". Should be an array the same length as `categoryarray` Used with `categoryorder`. ticktextsrc Sets the source reference on plot.ly for ticktext . values Dimension values. `values[n]` represents the category value of the `n`th point in the dataset, therefore the `values` vector for all dimensions must be the same (longer vectors will be truncated). valuessrc Sets the source reference on plot.ly for values . visible Shows the dimension when set to `true` (the default). Hides the dimension for `false`. Returns ------- Dimension """ super(Dimension, self).__init__("dimensions") # 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.parcats.Dimension constructor must be a dict or an instance of :class:`plotly.graph_objs.parcats.Dimension`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) # Import validators # ----------------- from plotly.validators.parcats import dimension as v_dimension # Initialize validators # --------------------- self._validators["categoryarray"] = v_dimension.CategoryarrayValidator() self._validators["categoryarraysrc"] = v_dimension.CategoryarraysrcValidator() self._validators["categoryorder"] = v_dimension.CategoryorderValidator() self._validators["displayindex"] = v_dimension.DisplayindexValidator() self._validators["label"] = v_dimension.LabelValidator() self._validators["ticktext"] = v_dimension.TicktextValidator() self._validators["ticktextsrc"] = v_dimension.TicktextsrcValidator() self._validators["values"] = v_dimension.ValuesValidator() self._validators["valuessrc"] = v_dimension.ValuessrcValidator() self._validators["visible"] = v_dimension.VisibleValidator() # Populate data dict with properties # ---------------------------------- _v = arg.pop("categoryarray", None) self["categoryarray"] = categoryarray if categoryarray is not None else _v _v = arg.pop("categoryarraysrc", None) self["categoryarraysrc"] = ( categoryarraysrc if categoryarraysrc is not None else _v ) _v = arg.pop("categoryorder", None) self["categoryorder"] = categoryorder if categoryorder is not None else _v _v = arg.pop("displayindex", None) self["displayindex"] = displayindex if displayindex is not None else _v _v = arg.pop("label", None) self["label"] = label if label 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("values", None) self["values"] = values if values is not None else _v _v = arg.pop("valuessrc", None) self["valuessrc"] = valuessrc if valuessrc is not None else _v _v = arg.pop("visible", None) self["visible"] = visible if visible is not None else _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False __all__ = [ "Dimension", "Dimension", "Domain", "Labelfont", "Line", "Stream", "Tickfont", "line", ] from plotly.graph_objs.parcats import line