from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType import copy as _copy class XAxis(_BaseLayoutHierarchyType): # class properties # -------------------- _parent_path_str = "layout" _path_str = "layout.xaxis" _valid_props = { "anchor", "automargin", "autorange", "autotypenumbers", "calendar", "categoryarray", "categoryarraysrc", "categoryorder", "color", "constrain", "constraintoward", "dividercolor", "dividerwidth", "domain", "dtick", "exponentformat", "fixedrange", "gridcolor", "griddash", "gridwidth", "hoverformat", "layer", "linecolor", "linewidth", "matches", "minexponent", "minor", "mirror", "nticks", "overlaying", "position", "range", "rangebreakdefaults", "rangebreaks", "rangemode", "rangeselector", "rangeslider", "scaleanchor", "scaleratio", "separatethousands", "showdividers", "showexponent", "showgrid", "showline", "showspikes", "showticklabels", "showtickprefix", "showticksuffix", "side", "spikecolor", "spikedash", "spikemode", "spikesnap", "spikethickness", "tick0", "tickangle", "tickcolor", "tickfont", "tickformat", "tickformatstopdefaults", "tickformatstops", "ticklabelmode", "ticklabeloverflow", "ticklabelposition", "ticklabelstep", "ticklen", "tickmode", "tickprefix", "ticks", "tickson", "ticksuffix", "ticktext", "ticktextsrc", "tickvals", "tickvalssrc", "tickwidth", "title", "titlefont", "type", "uirevision", "visible", "zeroline", "zerolinecolor", "zerolinewidth", } # anchor # ------ @property def anchor(self): """ If set to an opposite-letter axis id (e.g. `x2`, `y`), this axis is bound to the corresponding opposite-letter axis. If set to "free", this axis' position is determined by `position`. The 'anchor' property is an enumeration that may be specified as: - One of the following enumeration values: ['free'] - A string that matches one of the following regular expressions: ['^x([2-9]|[1-9][0-9]+)?( domain)?$', '^y([2-9]|[1-9][0-9]+)?( domain)?$'] Returns ------- Any """ return self["anchor"] @anchor.setter def anchor(self, val): self["anchor"] = val # automargin # ---------- @property def automargin(self): """ Determines whether long tick labels automatically grow the figure margins. The 'automargin' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["automargin"] @automargin.setter def automargin(self, val): self["automargin"] = val # autorange # --------- @property def autorange(self): """ Determines whether or not the range of this axis is computed in relation to the input data. See `rangemode` for more info. If `range` is provided, then `autorange` is set to False. The 'autorange' property is an enumeration that may be specified as: - One of the following enumeration values: [True, False, 'reversed'] Returns ------- Any """ return self["autorange"] @autorange.setter def autorange(self, val): self["autorange"] = val # autotypenumbers # --------------- @property def autotypenumbers(self): """ Using "strict" a numeric string in trace data is not converted to a number. Using *convert types* a numeric string in trace data may be treated as a number during automatic axis `type` detection. Defaults to layout.autotypenumbers. The 'autotypenumbers' property is an enumeration that may be specified as: - One of the following enumeration values: ['convert types', 'strict'] Returns ------- Any """ return self["autotypenumbers"] @autotypenumbers.setter def autotypenumbers(self, val): self["autotypenumbers"] = val # calendar # -------- @property def calendar(self): """ Sets the calendar system to use for `range` and `tick0` if this is a date axis. This does not set the calendar for interpreting data on this axis, that's specified in the trace or via the global `layout.calendar` The 'calendar' property is an enumeration that may be specified as: - One of the following enumeration values: ['chinese', 'coptic', 'discworld', 'ethiopian', 'gregorian', 'hebrew', 'islamic', 'jalali', 'julian', 'mayan', 'nanakshahi', 'nepali', 'persian', 'taiwan', 'thai', 'ummalqura'] Returns ------- Any """ return self["calendar"] @calendar.setter def calendar(self, val): self["calendar"] = val # categoryarray # ------------- @property def categoryarray(self): """ Sets the order in which categories on this axis 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 Chart Studio Cloud 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 case of categorical variables. 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`. Set `categoryorder` to *total ascending* or *total descending* if order should be determined by the numerical order of the values. Similarly, the order can be determined by the min, max, sum, mean or median of all the values. The 'categoryorder' property is an enumeration that may be specified as: - One of the following enumeration values: ['trace', 'category ascending', 'category descending', 'array', 'total ascending', 'total descending', 'min ascending', 'min descending', 'max ascending', 'max descending', 'sum ascending', 'sum descending', 'mean ascending', 'mean descending', 'median ascending', 'median descending'] Returns ------- Any """ return self["categoryorder"] @categoryorder.setter def categoryorder(self, val): self["categoryorder"] = val # color # ----- @property def color(self): """ Sets default for all colors associated with this axis all at once: line, font, tick, and grid colors. Grid color is lightened by blending this with the plot background Individual pieces can override this. 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 # constrain # --------- @property def constrain(self): """ If this axis needs to be compressed (either due to its own `scaleanchor` and `scaleratio` or those of the other axis), determines how that happens: by increasing the "range", or by decreasing the "domain". Default is "domain" for axes containing image traces, "range" otherwise. The 'constrain' property is an enumeration that may be specified as: - One of the following enumeration values: ['range', 'domain'] Returns ------- Any """ return self["constrain"] @constrain.setter def constrain(self, val): self["constrain"] = val # constraintoward # --------------- @property def constraintoward(self): """ If this axis needs to be compressed (either due to its own `scaleanchor` and `scaleratio` or those of the other axis), determines which direction we push the originally specified plot area. Options are "left", "center" (default), and "right" for x axes, and "top", "middle" (default), and "bottom" for y axes. The 'constraintoward' property is an enumeration that may be specified as: - One of the following enumeration values: ['left', 'center', 'right', 'top', 'middle', 'bottom'] Returns ------- Any """ return self["constraintoward"] @constraintoward.setter def constraintoward(self, val): self["constraintoward"] = val # dividercolor # ------------ @property def dividercolor(self): """ Sets the color of the dividers Only has an effect on "multicategory" axes. The 'dividercolor' 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["dividercolor"] @dividercolor.setter def dividercolor(self, val): self["dividercolor"] = val # dividerwidth # ------------ @property def dividerwidth(self): """ Sets the width (in px) of the dividers Only has an effect on "multicategory" axes. The 'dividerwidth' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["dividerwidth"] @dividerwidth.setter def dividerwidth(self, val): self["dividerwidth"] = val # domain # ------ @property def domain(self): """ Sets the domain of this axis (in plot fraction). The 'domain' property is an info array that may be specified as: * a list or tuple of 2 elements where: (0) The 'domain[0]' property is a number and may be specified as: - An int or float in the interval [0, 1] (1) The 'domain[1]' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- list """ return self["domain"] @domain.setter def domain(self, val): self["domain"] = 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 # fixedrange # ---------- @property def fixedrange(self): """ Determines whether or not this axis is zoom-able. If true, then zoom is disabled. The 'fixedrange' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["fixedrange"] @fixedrange.setter def fixedrange(self, val): self["fixedrange"] = val # gridcolor # --------- @property def gridcolor(self): """ Sets the color of the grid lines. The 'gridcolor' 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["gridcolor"] @gridcolor.setter def gridcolor(self, val): self["gridcolor"] = val # griddash # -------- @property def griddash(self): """ Sets the dash style of lines. Set to a dash type string ("solid", "dot", "dash", "longdash", "dashdot", or "longdashdot") or a dash length list in px (eg "5px,10px,2px,2px"). The 'griddash' property is an enumeration that may be specified as: - One of the following dash styles: ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'] - A string containing a dash length list in pixels or percentages (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.) Returns ------- str """ return self["griddash"] @griddash.setter def griddash(self, val): self["griddash"] = val # gridwidth # --------- @property def gridwidth(self): """ Sets the width (in px) of the grid lines. The 'gridwidth' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["gridwidth"] @gridwidth.setter def gridwidth(self, val): self["gridwidth"] = val # hoverformat # ----------- @property def hoverformat(self): """ Sets the hover text formatting rule using d3 formatting mini- languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display "09~15~23.46" The 'hoverformat' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["hoverformat"] @hoverformat.setter def hoverformat(self, val): self["hoverformat"] = val # layer # ----- @property def layer(self): """ Sets the layer on which this axis is displayed. If *above traces*, this axis is displayed above all the subplot's traces If *below traces*, this axis is displayed below all the subplot's traces, but above the grid lines. Useful when used together with scatter-like traces with `cliponaxis` set to False to show markers and/or text nodes above this axis. The 'layer' property is an enumeration that may be specified as: - One of the following enumeration values: ['above traces', 'below traces'] Returns ------- Any """ return self["layer"] @layer.setter def layer(self, val): self["layer"] = val # linecolor # --------- @property def linecolor(self): """ Sets the axis line color. The 'linecolor' 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["linecolor"] @linecolor.setter def linecolor(self, val): self["linecolor"] = val # linewidth # --------- @property def linewidth(self): """ Sets the width (in px) of the axis line. The 'linewidth' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["linewidth"] @linewidth.setter def linewidth(self, val): self["linewidth"] = val # matches # ------- @property def matches(self): """ If set to another axis id (e.g. `x2`, `y`), the range of this axis will match the range of the corresponding axis in data- coordinates space. Moreover, matching axes share auto-range values, category lists and histogram auto-bins. Note that setting axes simultaneously in both a `scaleanchor` and a `matches` constraint is currently forbidden. Moreover, note that matching axes must have the same `type`. The 'matches' property is an enumeration that may be specified as: - A string that matches one of the following regular expressions: ['^x([2-9]|[1-9][0-9]+)?( domain)?$', '^y([2-9]|[1-9][0-9]+)?( domain)?$'] Returns ------- Any """ return self["matches"] @matches.setter def matches(self, val): self["matches"] = val # minexponent # ----------- @property def minexponent(self): """ Hide SI prefix for 10^n if |n| is below this number. This only has an effect when `tickformat` is "SI" or "B". The 'minexponent' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["minexponent"] @minexponent.setter def minexponent(self, val): self["minexponent"] = val # minor # ----- @property def minor(self): """ The 'minor' property is an instance of Minor that may be specified as: - An instance of :class:`plotly.graph_objs.layout.xaxis.Minor` - A dict of string/value properties that will be passed to the Minor constructor Supported dict properties: 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" gridcolor Sets the color of the grid lines. griddash Sets the dash style of lines. Set to a dash type string ("solid", "dot", "dash", "longdash", "dashdot", or "longdashdot") or a dash length list in px (eg "5px,10px,2px,2px"). gridwidth Sets the width (in px) of the grid lines. 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". showgrid Determines whether or not grid lines are drawn. If True, the grid lines are drawn at every tick mark. 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. tickcolor Sets the tick color. 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). 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. tickvals Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`. tickvalssrc Sets the source reference on Chart Studio Cloud for `tickvals`. tickwidth Sets the tick width (in px). Returns ------- plotly.graph_objs.layout.xaxis.Minor """ return self["minor"] @minor.setter def minor(self, val): self["minor"] = val # mirror # ------ @property def mirror(self): """ Determines if the axis lines or/and ticks are mirrored to the opposite side of the plotting area. If True, the axis lines are mirrored. If "ticks", the axis lines and ticks are mirrored. If False, mirroring is disable. If "all", axis lines are mirrored on all shared-axes subplots. If "allticks", axis lines and ticks are mirrored on all shared-axes subplots. The 'mirror' property is an enumeration that may be specified as: - One of the following enumeration values: [True, 'ticks', False, 'all', 'allticks'] Returns ------- Any """ return self["mirror"] @mirror.setter def mirror(self, val): self["mirror"] = 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 # overlaying # ---------- @property def overlaying(self): """ If set a same-letter axis id, this axis is overlaid on top of the corresponding same-letter axis, with traces and axes visible for both axes. If False, this axis does not overlay any same-letter axes. In this case, for axes with overlapping domains only the highest-numbered axis will be visible. The 'overlaying' property is an enumeration that may be specified as: - One of the following enumeration values: ['free'] - A string that matches one of the following regular expressions: ['^x([2-9]|[1-9][0-9]+)?( domain)?$', '^y([2-9]|[1-9][0-9]+)?( domain)?$'] Returns ------- Any """ return self["overlaying"] @overlaying.setter def overlaying(self, val): self["overlaying"] = val # position # -------- @property def position(self): """ Sets the position of this axis in the plotting space (in normalized coordinates). Only has an effect if `anchor` is set to "free". The 'position' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- int|float """ return self["position"] @position.setter def position(self, val): self["position"] = val # range # ----- @property def range(self): """ Sets the range of this axis. If the axis `type` is "log", then you must take the log of your desired range (e.g. to set the range from 1 to 100, set the range from 0 to 2). If the axis `type` is "date", it should be date strings, like date data, though Date objects and unix milliseconds will be accepted and converted to strings. If the axis `type` is "category", it should be numbers, using the scale where each category is assigned a serial number from zero in the order it appears. The 'range' property is an info array that may be specified as: * a list or tuple of 2 elements where: (0) The 'range[0]' property accepts values of any type (1) The 'range[1]' property accepts values of any type Returns ------- list """ return self["range"] @range.setter def range(self, val): self["range"] = val # rangebreaks # ----------- @property def rangebreaks(self): """ The 'rangebreaks' property is a tuple of instances of Rangebreak that may be specified as: - A list or tuple of instances of plotly.graph_objs.layout.xaxis.Rangebreak - A list or tuple of dicts of string/value properties that will be passed to the Rangebreak constructor Supported dict properties: bounds Sets the lower and upper bounds of this axis rangebreak. Can be used with `pattern`. dvalue Sets the size of each `values` item. The default is one day in milliseconds. enabled Determines whether this axis rangebreak is enabled or disabled. Please note that `rangebreaks` only work for "date" axis type. 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. pattern Determines a pattern on the time line that generates breaks. If *day of week* - days of the week in English e.g. 'Sunday' or `sun` (matching is case-insensitive and considers only the first three characters), as well as Sunday-based integers between 0 and 6. If "hour" - hour (24-hour clock) as decimal numbers between 0 and 24. for more info. Examples: - { pattern: 'day of week', bounds: [6, 1] } or simply { bounds: ['sat', 'mon'] } breaks from Saturday to Monday (i.e. skips the weekends). - { pattern: 'hour', bounds: [17, 8] } breaks from 5pm to 8am (i.e. skips non-work hours). 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`. values Sets the coordinate values corresponding to the rangebreaks. An alternative to `bounds`. Use `dvalue` to set the size of the values along the axis. Returns ------- tuple[plotly.graph_objs.layout.xaxis.Rangebreak] """ return self["rangebreaks"] @rangebreaks.setter def rangebreaks(self, val): self["rangebreaks"] = val # rangebreakdefaults # ------------------ @property def rangebreakdefaults(self): """ When used in a template (as layout.template.layout.xaxis.rangebreakdefaults), sets the default property values to use for elements of layout.xaxis.rangebreaks The 'rangebreakdefaults' property is an instance of Rangebreak that may be specified as: - An instance of :class:`plotly.graph_objs.layout.xaxis.Rangebreak` - A dict of string/value properties that will be passed to the Rangebreak constructor Supported dict properties: Returns ------- plotly.graph_objs.layout.xaxis.Rangebreak """ return self["rangebreakdefaults"] @rangebreakdefaults.setter def rangebreakdefaults(self, val): self["rangebreakdefaults"] = val # rangemode # --------- @property def rangemode(self): """ If "normal", the range is computed in relation to the extrema of the input data. If *tozero*`, the range extends to 0, regardless of the input data If "nonnegative", the range is non-negative, regardless of the input data. Applies only to linear axes. The 'rangemode' property is an enumeration that may be specified as: - One of the following enumeration values: ['normal', 'tozero', 'nonnegative'] Returns ------- Any """ return self["rangemode"] @rangemode.setter def rangemode(self, val): self["rangemode"] = val # rangeselector # ------------- @property def rangeselector(self): """ The 'rangeselector' property is an instance of Rangeselector that may be specified as: - An instance of :class:`plotly.graph_objs.layout.xaxis.Rangeselector` - A dict of string/value properties that will be passed to the Rangeselector constructor Supported dict properties: activecolor Sets the background color of the active range selector button. bgcolor Sets the background color of the range selector buttons. bordercolor Sets the color of the border enclosing the range selector. borderwidth Sets the width (in px) of the border enclosing the range selector. buttons Sets the specifications for each buttons. By default, a range selector comes with no buttons. buttondefaults When used in a template (as layout.template.lay out.xaxis.rangeselector.buttondefaults), sets the default property values to use for elements of layout.xaxis.rangeselector.buttons font Sets the font of the range selector button text. visible Determines whether or not this range selector is visible. Note that range selectors are only available for x axes of `type` set to or auto- typed to "date". x Sets the x position (in normalized coordinates) of the range selector. xanchor Sets the range selector's horizontal position anchor. This anchor binds the `x` position to the "left", "center" or "right" of the range selector. y Sets the y position (in normalized coordinates) of the range selector. yanchor Sets the range selector's vertical position anchor This anchor binds the `y` position to the "top", "middle" or "bottom" of the range selector. Returns ------- plotly.graph_objs.layout.xaxis.Rangeselector """ return self["rangeselector"] @rangeselector.setter def rangeselector(self, val): self["rangeselector"] = val # rangeslider # ----------- @property def rangeslider(self): """ The 'rangeslider' property is an instance of Rangeslider that may be specified as: - An instance of :class:`plotly.graph_objs.layout.xaxis.Rangeslider` - A dict of string/value properties that will be passed to the Rangeslider constructor Supported dict properties: autorange Determines whether or not the range slider range is computed in relation to the input data. If `range` is provided, then `autorange` is set to False. bgcolor Sets the background color of the range slider. bordercolor Sets the border color of the range slider. borderwidth Sets the border width of the range slider. range Sets the range of the range slider. If not set, defaults to the full xaxis range. If the axis `type` is "log", then you must take the log of your desired range. If the axis `type` is "date", it should be date strings, like date data, though Date objects and unix milliseconds will be accepted and converted to strings. If the axis `type` is "category", it should be numbers, using the scale where each category is assigned a serial number from zero in the order it appears. thickness The height of the range slider as a fraction of the total plot area height. visible Determines whether or not the range slider will be visible. If visible, perpendicular axes will be set to `fixedrange` yaxis :class:`plotly.graph_objects.layout.xaxis.range slider.YAxis` instance or dict with compatible properties Returns ------- plotly.graph_objs.layout.xaxis.Rangeslider """ return self["rangeslider"] @rangeslider.setter def rangeslider(self, val): self["rangeslider"] = val # scaleanchor # ----------- @property def scaleanchor(self): """ If set to another axis id (e.g. `x2`, `y`), the range of this axis changes together with the range of the corresponding axis such that the scale of pixels per unit is in a constant ratio. Both axes are still zoomable, but when you zoom one, the other will zoom the same amount, keeping a fixed midpoint. `constrain` and `constraintoward` determine how we enforce the constraint. You can chain these, ie `yaxis: {scaleanchor: *x*}, xaxis2: {scaleanchor: *y*}` but you can only link axes of the same `type`. The linked axis can have the opposite letter (to constrain the aspect ratio) or the same letter (to match scales across subplots). Loops (`yaxis: {scaleanchor: *x*}, xaxis: {scaleanchor: *y*}` or longer) are redundant and the last constraint encountered will be ignored to avoid possible inconsistent constraints via `scaleratio`. Note that setting axes simultaneously in both a `scaleanchor` and a `matches` constraint is currently forbidden. The 'scaleanchor' property is an enumeration that may be specified as: - A string that matches one of the following regular expressions: ['^x([2-9]|[1-9][0-9]+)?( domain)?$', '^y([2-9]|[1-9][0-9]+)?( domain)?$'] Returns ------- Any """ return self["scaleanchor"] @scaleanchor.setter def scaleanchor(self, val): self["scaleanchor"] = val # scaleratio # ---------- @property def scaleratio(self): """ If this axis is linked to another by `scaleanchor`, this determines the pixel to unit scale ratio. For example, if this value is 10, then every unit on this axis spans 10 times the number of pixels as a unit on the linked axis. Use this for example to create an elevation profile where the vertical scale is exaggerated a fixed amount with respect to the horizontal. The 'scaleratio' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["scaleratio"] @scaleratio.setter def scaleratio(self, val): self["scaleratio"] = 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 # showdividers # ------------ @property def showdividers(self): """ Determines whether or not a dividers are drawn between the category levels of this axis. Only has an effect on "multicategory" axes. The 'showdividers' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["showdividers"] @showdividers.setter def showdividers(self, val): self["showdividers"] = 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 # showgrid # -------- @property def showgrid(self): """ Determines whether or not grid lines are drawn. If True, the grid lines are drawn at every tick mark. The 'showgrid' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["showgrid"] @showgrid.setter def showgrid(self, val): self["showgrid"] = val # showline # -------- @property def showline(self): """ Determines whether or not a line bounding this axis is drawn. The 'showline' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["showline"] @showline.setter def showline(self, val): self["showline"] = val # showspikes # ---------- @property def showspikes(self): """ Determines whether or not spikes (aka droplines) are drawn for this axis. Note: This only takes affect when hovermode = closest The 'showspikes' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["showspikes"] @showspikes.setter def showspikes(self, val): self["showspikes"] = 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 # side # ---- @property def side(self): """ Determines whether a x (y) axis is positioned at the "bottom" ("left") or "top" ("right") of the plotting area. The 'side' property is an enumeration that may be specified as: - One of the following enumeration values: ['top', 'bottom', 'left', 'right'] Returns ------- Any """ return self["side"] @side.setter def side(self, val): self["side"] = val # spikecolor # ---------- @property def spikecolor(self): """ Sets the spike color. If undefined, will use the series color The 'spikecolor' 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["spikecolor"] @spikecolor.setter def spikecolor(self, val): self["spikecolor"] = val # spikedash # --------- @property def spikedash(self): """ Sets the dash style of lines. Set to a dash type string ("solid", "dot", "dash", "longdash", "dashdot", or "longdashdot") or a dash length list in px (eg "5px,10px,2px,2px"). The 'spikedash' property is an enumeration that may be specified as: - One of the following dash styles: ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'] - A string containing a dash length list in pixels or percentages (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.) Returns ------- str """ return self["spikedash"] @spikedash.setter def spikedash(self, val): self["spikedash"] = val # spikemode # --------- @property def spikemode(self): """ Determines the drawing mode for the spike line If "toaxis", the line is drawn from the data point to the axis the series is plotted on. If "across", the line is drawn across the entire plot area, and supercedes "toaxis". If "marker", then a marker dot is drawn on the axis the series is plotted on The 'spikemode' property is a flaglist and may be specified as a string containing: - Any combination of ['toaxis', 'across', 'marker'] joined with '+' characters (e.g. 'toaxis+across') Returns ------- Any """ return self["spikemode"] @spikemode.setter def spikemode(self, val): self["spikemode"] = val # spikesnap # --------- @property def spikesnap(self): """ Determines whether spikelines are stuck to the cursor or to the closest datapoints. The 'spikesnap' property is an enumeration that may be specified as: - One of the following enumeration values: ['data', 'cursor', 'hovered data'] Returns ------- Any """ return self["spikesnap"] @spikesnap.setter def spikesnap(self, val): self["spikesnap"] = val # spikethickness # -------------- @property def spikethickness(self): """ Sets the width (in px) of the zero line. The 'spikethickness' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["spikethickness"] @spikethickness.setter def spikethickness(self, val): self["spikethickness"] = 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 tick font. The 'tickfont' property is an instance of Tickfont that may be specified as: - An instance of :class:`plotly.graph_objs.layout.xaxis.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 Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman". size Returns ------- plotly.graph_objs.layout.xaxis.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-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display "09~15~23.46" 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.layout.xaxis.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.layout.xaxis.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.layout.xaxis.tickformatstopdefaults), sets the default property values to use for elements of layout.xaxis.tickformatstops The 'tickformatstopdefaults' property is an instance of Tickformatstop that may be specified as: - An instance of :class:`plotly.graph_objs.layout.xaxis.Tickformatstop` - A dict of string/value properties that will be passed to the Tickformatstop constructor Supported dict properties: Returns ------- plotly.graph_objs.layout.xaxis.Tickformatstop """ return self["tickformatstopdefaults"] @tickformatstopdefaults.setter def tickformatstopdefaults(self, val): self["tickformatstopdefaults"] = val # ticklabelmode # ------------- @property def ticklabelmode(self): """ Determines where tick labels are drawn with respect to their corresponding ticks and grid lines. Only has an effect for axes of `type` "date" When set to "period", tick labels are drawn in the middle of the period between ticks. The 'ticklabelmode' property is an enumeration that may be specified as: - One of the following enumeration values: ['instant', 'period'] Returns ------- Any """ return self["ticklabelmode"] @ticklabelmode.setter def ticklabelmode(self, val): self["ticklabelmode"] = val # ticklabeloverflow # ----------------- @property def ticklabeloverflow(self): """ Determines how we handle tick labels that would overflow either the graph div or the domain of the axis. The default value for inside tick labels is *hide past domain*. Otherwise on "category" and "multicategory" axes the default is "allow". In other cases the default is *hide past div*. The 'ticklabeloverflow' property is an enumeration that may be specified as: - One of the following enumeration values: ['allow', 'hide past div', 'hide past domain'] Returns ------- Any """ return self["ticklabeloverflow"] @ticklabeloverflow.setter def ticklabeloverflow(self, val): self["ticklabeloverflow"] = val # ticklabelposition # ----------------- @property def ticklabelposition(self): """ Determines where tick labels are drawn with respect to the axis Please note that top or bottom has no effect on x axes or when `ticklabelmode` is set to "period". Similarly left or right has no effect on y axes or when `ticklabelmode` is set to "period". Has no effect on "multicategory" axes or when `tickson` is set to "boundaries". When used on axes linked by `matches` or `scaleanchor`, no extra padding for inside labels would be added by autorange, so that the scales could match. The 'ticklabelposition' property is an enumeration that may be specified as: - One of the following enumeration values: ['outside', 'inside', 'outside top', 'inside top', 'outside left', 'inside left', 'outside right', 'inside right', 'outside bottom', 'inside bottom'] Returns ------- Any """ return self["ticklabelposition"] @ticklabelposition.setter def ticklabelposition(self, val): self["ticklabelposition"] = val # ticklabelstep # ------------- @property def ticklabelstep(self): """ Sets the spacing between tick labels as compared to the spacing between ticks. A value of 1 (default) means each tick gets a label. A value of 2 means shows every 2nd label. A larger value n means only every nth tick is labeled. `tick0` determines which labels are shown. Not implemented for axes with `type` "log" or "multicategory", or when `tickmode` is "array". The 'ticklabelstep' 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["ticklabelstep"] @ticklabelstep.setter def ticklabelstep(self, val): self["ticklabelstep"] = 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 # tickson # ------- @property def tickson(self): """ Determines where ticks and grid lines are drawn with respect to their corresponding tick labels. Only has an effect for axes of `type` "category" or "multicategory". When set to "boundaries", ticks and grid lines are drawn half a category to the left/bottom of labels. The 'tickson' property is an enumeration that may be specified as: - One of the following enumeration values: ['labels', 'boundaries'] Returns ------- Any """ return self["tickson"] @tickson.setter def tickson(self, val): self["tickson"] = 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 Chart Studio Cloud 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 Chart Studio Cloud 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.layout.xaxis.Title` - A dict of string/value properties that will be passed to the Title constructor Supported dict properties: font Sets this axis' title font. Note that the title's font used to be customized by the now deprecated `titlefont` attribute. standoff Sets the standoff distance (in px) between the axis labels and the title text The default value is a function of the axis tick labels, the title `font.size` and the axis `linewidth`. Note that the axis title position is always constrained within the margins, so the actual standoff distance is always less than the set or default value. By setting `standoff` and turning on `automargin`, plotly.js will push the margins to fit the axis title at given standoff distance. text Sets the title of this axis. 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.layout.xaxis.Title """ return self["title"] @title.setter def title(self, val): self["title"] = val # titlefont # --------- @property def titlefont(self): """ Deprecated: Please use layout.xaxis.title.font instead. Sets this axis' title font. Note that the title's font used to be customized 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.layout.xaxis.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 Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman". size Returns ------- """ return self["titlefont"] @titlefont.setter def titlefont(self, val): self["titlefont"] = val # type # ---- @property def type(self): """ Sets the axis type. By default, plotly attempts to determined the axis type by looking into the data of the traces that referenced the axis in question. The 'type' property is an enumeration that may be specified as: - One of the following enumeration values: ['-', 'linear', 'log', 'date', 'category', 'multicategory'] Returns ------- Any """ return self["type"] @type.setter def type(self, val): self["type"] = val # uirevision # ---------- @property def uirevision(self): """ Controls persistence of user-driven changes in axis `range`, `autorange`, and `title` if in `editable: true` configuration. Defaults to `layout.uirevision`. The 'uirevision' property accepts values of any type Returns ------- Any """ return self["uirevision"] @uirevision.setter def uirevision(self, val): self["uirevision"] = val # visible # ------- @property def visible(self): """ A single toggle to hide the axis while preserving interaction like dragging. Default is true when a cheater plot is present on the axis, otherwise 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 # zeroline # -------- @property def zeroline(self): """ Determines whether or not a line is drawn at along the 0 value of this axis. If True, the zero line is drawn on top of the grid lines. The 'zeroline' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["zeroline"] @zeroline.setter def zeroline(self, val): self["zeroline"] = val # zerolinecolor # ------------- @property def zerolinecolor(self): """ Sets the line color of the zero line. The 'zerolinecolor' 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["zerolinecolor"] @zerolinecolor.setter def zerolinecolor(self, val): self["zerolinecolor"] = val # zerolinewidth # ------------- @property def zerolinewidth(self): """ Sets the width (in px) of the zero line. The 'zerolinewidth' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["zerolinewidth"] @zerolinewidth.setter def zerolinewidth(self, val): self["zerolinewidth"] = val # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ anchor If set to an opposite-letter axis id (e.g. `x2`, `y`), this axis is bound to the corresponding opposite-letter axis. If set to "free", this axis' position is determined by `position`. automargin Determines whether long tick labels automatically grow the figure margins. autorange Determines whether or not the range of this axis is computed in relation to the input data. See `rangemode` for more info. If `range` is provided, then `autorange` is set to False. autotypenumbers Using "strict" a numeric string in trace data is not converted to a number. Using *convert types* a numeric string in trace data may be treated as a number during automatic axis `type` detection. Defaults to layout.autotypenumbers. calendar Sets the calendar system to use for `range` and `tick0` if this is a date axis. This does not set the calendar for interpreting data on this axis, that's specified in the trace or via the global `layout.calendar` categoryarray Sets the order in which categories on this axis appear. Only has an effect if `categoryorder` is set to "array". Used with `categoryorder`. categoryarraysrc Sets the source reference on Chart Studio Cloud for `categoryarray`. categoryorder Specifies the ordering logic for the case of categorical variables. 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`. Set `categoryorder` to *total ascending* or *total descending* if order should be determined by the numerical order of the values. Similarly, the order can be determined by the min, max, sum, mean or median of all the values. color Sets default for all colors associated with this axis all at once: line, font, tick, and grid colors. Grid color is lightened by blending this with the plot background Individual pieces can override this. constrain If this axis needs to be compressed (either due to its own `scaleanchor` and `scaleratio` or those of the other axis), determines how that happens: by increasing the "range", or by decreasing the "domain". Default is "domain" for axes containing image traces, "range" otherwise. constraintoward If this axis needs to be compressed (either due to its own `scaleanchor` and `scaleratio` or those of the other axis), determines which direction we push the originally specified plot area. Options are "left", "center" (default), and "right" for x axes, and "top", "middle" (default), and "bottom" for y axes. dividercolor Sets the color of the dividers Only has an effect on "multicategory" axes. dividerwidth Sets the width (in px) of the dividers Only has an effect on "multicategory" axes. domain Sets the domain of this axis (in plot fraction). 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. fixedrange Determines whether or not this axis is zoom-able. If true, then zoom is disabled. gridcolor Sets the color of the grid lines. griddash Sets the dash style of lines. Set to a dash type string ("solid", "dot", "dash", "longdash", "dashdot", or "longdashdot") or a dash length list in px (eg "5px,10px,2px,2px"). gridwidth Sets the width (in px) of the grid lines. hoverformat Sets the hover text formatting rule using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display "09~15~23.46" layer Sets the layer on which this axis is displayed. If *above traces*, this axis is displayed above all the subplot's traces If *below traces*, this axis is displayed below all the subplot's traces, but above the grid lines. Useful when used together with scatter-like traces with `cliponaxis` set to False to show markers and/or text nodes above this axis. linecolor Sets the axis line color. linewidth Sets the width (in px) of the axis line. matches If set to another axis id (e.g. `x2`, `y`), the range of this axis will match the range of the corresponding axis in data-coordinates space. Moreover, matching axes share auto-range values, category lists and histogram auto-bins. Note that setting axes simultaneously in both a `scaleanchor` and a `matches` constraint is currently forbidden. Moreover, note that matching axes must have the same `type`. minexponent Hide SI prefix for 10^n if |n| is below this number. This only has an effect when `tickformat` is "SI" or "B". minor :class:`plotly.graph_objects.layout.xaxis.Minor` instance or dict with compatible properties mirror Determines if the axis lines or/and ticks are mirrored to the opposite side of the plotting area. If True, the axis lines are mirrored. If "ticks", the axis lines and ticks are mirrored. If False, mirroring is disable. If "all", axis lines are mirrored on all shared-axes subplots. If "allticks", axis lines and ticks are mirrored on all shared-axes subplots. 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". overlaying If set a same-letter axis id, this axis is overlaid on top of the corresponding same-letter axis, with traces and axes visible for both axes. If False, this axis does not overlay any same-letter axes. In this case, for axes with overlapping domains only the highest- numbered axis will be visible. position Sets the position of this axis in the plotting space (in normalized coordinates). Only has an effect if `anchor` is set to "free". range Sets the range of this axis. If the axis `type` is "log", then you must take the log of your desired range (e.g. to set the range from 1 to 100, set the range from 0 to 2). If the axis `type` is "date", it should be date strings, like date data, though Date objects and unix milliseconds will be accepted and converted to strings. If the axis `type` is "category", it should be numbers, using the scale where each category is assigned a serial number from zero in the order it appears. rangebreaks A tuple of :class:`plotly.graph_objects.layout.xaxis.Rangebreak` instances or dicts with compatible properties rangebreakdefaults When used in a template (as layout.template.layout.xaxis.rangebreakdefaults), sets the default property values to use for elements of layout.xaxis.rangebreaks rangemode If "normal", the range is computed in relation to the extrema of the input data. If *tozero*`, the range extends to 0, regardless of the input data If "nonnegative", the range is non-negative, regardless of the input data. Applies only to linear axes. rangeselector :class:`plotly.graph_objects.layout.xaxis.Rangeselector ` instance or dict with compatible properties rangeslider :class:`plotly.graph_objects.layout.xaxis.Rangeslider` instance or dict with compatible properties scaleanchor If set to another axis id (e.g. `x2`, `y`), the range of this axis changes together with the range of the corresponding axis such that the scale of pixels per unit is in a constant ratio. Both axes are still zoomable, but when you zoom one, the other will zoom the same amount, keeping a fixed midpoint. `constrain` and `constraintoward` determine how we enforce the constraint. You can chain these, ie `yaxis: {scaleanchor: *x*}, xaxis2: {scaleanchor: *y*}` but you can only link axes of the same `type`. The linked axis can have the opposite letter (to constrain the aspect ratio) or the same letter (to match scales across subplots). Loops (`yaxis: {scaleanchor: *x*}, xaxis: {scaleanchor: *y*}` or longer) are redundant and the last constraint encountered will be ignored to avoid possible inconsistent constraints via `scaleratio`. Note that setting axes simultaneously in both a `scaleanchor` and a `matches` constraint is currently forbidden. scaleratio If this axis is linked to another by `scaleanchor`, this determines the pixel to unit scale ratio. For example, if this value is 10, then every unit on this axis spans 10 times the number of pixels as a unit on the linked axis. Use this for example to create an elevation profile where the vertical scale is exaggerated a fixed amount with respect to the horizontal. separatethousands If "true", even 4-digit integers are separated showdividers Determines whether or not a dividers are drawn between the category levels of this axis. Only has an effect on "multicategory" axes. 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. showgrid Determines whether or not grid lines are drawn. If True, the grid lines are drawn at every tick mark. showline Determines whether or not a line bounding this axis is drawn. showspikes Determines whether or not spikes (aka droplines) are drawn for this axis. Note: This only takes affect when hovermode = closest 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. side Determines whether a x (y) axis is positioned at the "bottom" ("left") or "top" ("right") of the plotting area. spikecolor Sets the spike color. If undefined, will use the series color spikedash Sets the dash style of lines. Set to a dash type string ("solid", "dot", "dash", "longdash", "dashdot", or "longdashdot") or a dash length list in px (eg "5px,10px,2px,2px"). spikemode Determines the drawing mode for the spike line If "toaxis", the line is drawn from the data point to the axis the series is plotted on. If "across", the line is drawn across the entire plot area, and supercedes "toaxis". If "marker", then a marker dot is drawn on the axis the series is plotted on spikesnap Determines whether spikelines are stuck to the cursor or to the closest datapoints. spikethickness Sets the width (in px) of the zero line. 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 tick 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-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display "09~15~23.46" tickformatstops A tuple of :class:`plotly.graph_objects.layout.xaxis.Ti ckformatstop` instances or dicts with compatible properties tickformatstopdefaults When used in a template (as layout.template.layout.xaxis.tickformatstopdefaults), sets the default property values to use for elements of layout.xaxis.tickformatstops ticklabelmode Determines where tick labels are drawn with respect to their corresponding ticks and grid lines. Only has an effect for axes of `type` "date" When set to "period", tick labels are drawn in the middle of the period between ticks. ticklabeloverflow Determines how we handle tick labels that would overflow either the graph div or the domain of the axis. The default value for inside tick labels is *hide past domain*. Otherwise on "category" and "multicategory" axes the default is "allow". In other cases the default is *hide past div*. ticklabelposition Determines where tick labels are drawn with respect to the axis Please note that top or bottom has no effect on x axes or when `ticklabelmode` is set to "period". Similarly left or right has no effect on y axes or when `ticklabelmode` is set to "period". Has no effect on "multicategory" axes or when `tickson` is set to "boundaries". When used on axes linked by `matches` or `scaleanchor`, no extra padding for inside labels would be added by autorange, so that the scales could match. ticklabelstep Sets the spacing between tick labels as compared to the spacing between ticks. A value of 1 (default) means each tick gets a label. A value of 2 means shows every 2nd label. A larger value n means only every nth tick is labeled. `tick0` determines which labels are shown. Not implemented for axes with `type` "log" or "multicategory", or when `tickmode` is "array". ticklen Sets the tick length (in px). tickmode Sets the tick mode for this axis. If "auto", the number of ticks is set via `nticks`. If "linear", the placement of the ticks is determined by a starting position `tick0` and a tick step `dtick` ("linear" is the default value if `tick0` and `dtick` are provided). If "array", the placement of the ticks is set via `tickvals` and the tick text is `ticktext`. ("array" is the default value if `tickvals` is provided). tickprefix Sets a tick label prefix. ticks Determines whether ticks are drawn or not. If "", this axis' ticks are not drawn. If "outside" ("inside"), this axis' are drawn outside (inside) the axis lines. tickson Determines where ticks and grid lines are drawn with respect to their corresponding tick labels. Only has an effect for axes of `type` "category" or "multicategory". When set to "boundaries", ticks and grid lines are drawn half a category to the left/bottom of labels. ticksuffix Sets a tick label suffix. ticktext Sets the text displayed at the ticks position via `tickvals`. Only has an effect if `tickmode` is set to "array". Used with `tickvals`. ticktextsrc Sets the source reference on Chart Studio Cloud for `ticktext`. tickvals Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`. tickvalssrc Sets the source reference on Chart Studio Cloud for `tickvals`. tickwidth Sets the tick width (in px). title :class:`plotly.graph_objects.layout.xaxis.Title` instance or dict with compatible properties titlefont Deprecated: Please use layout.xaxis.title.font instead. Sets this axis' title font. Note that the title's font used to be customized by the now deprecated `titlefont` attribute. type Sets the axis type. By default, plotly attempts to determined the axis type by looking into the data of the traces that referenced the axis in question. uirevision Controls persistence of user-driven changes in axis `range`, `autorange`, and `title` if in `editable: true` configuration. Defaults to `layout.uirevision`. visible A single toggle to hide the axis while preserving interaction like dragging. Default is true when a cheater plot is present on the axis, otherwise false zeroline Determines whether or not a line is drawn at along the 0 value of this axis. If True, the zero line is drawn on top of the grid lines. zerolinecolor Sets the line color of the zero line. zerolinewidth Sets the width (in px) of the zero line. """ _mapped_properties = {"titlefont": ("title", "font")} def __init__( self, arg=None, anchor=None, automargin=None, autorange=None, autotypenumbers=None, calendar=None, categoryarray=None, categoryarraysrc=None, categoryorder=None, color=None, constrain=None, constraintoward=None, dividercolor=None, dividerwidth=None, domain=None, dtick=None, exponentformat=None, fixedrange=None, gridcolor=None, griddash=None, gridwidth=None, hoverformat=None, layer=None, linecolor=None, linewidth=None, matches=None, minexponent=None, minor=None, mirror=None, nticks=None, overlaying=None, position=None, range=None, rangebreaks=None, rangebreakdefaults=None, rangemode=None, rangeselector=None, rangeslider=None, scaleanchor=None, scaleratio=None, separatethousands=None, showdividers=None, showexponent=None, showgrid=None, showline=None, showspikes=None, showticklabels=None, showtickprefix=None, showticksuffix=None, side=None, spikecolor=None, spikedash=None, spikemode=None, spikesnap=None, spikethickness=None, tick0=None, tickangle=None, tickcolor=None, tickfont=None, tickformat=None, tickformatstops=None, tickformatstopdefaults=None, ticklabelmode=None, ticklabeloverflow=None, ticklabelposition=None, ticklabelstep=None, ticklen=None, tickmode=None, tickprefix=None, ticks=None, tickson=None, ticksuffix=None, ticktext=None, ticktextsrc=None, tickvals=None, tickvalssrc=None, tickwidth=None, title=None, titlefont=None, type=None, uirevision=None, visible=None, zeroline=None, zerolinecolor=None, zerolinewidth=None, **kwargs, ): """ Construct a new XAxis object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.layout.XAxis` anchor If set to an opposite-letter axis id (e.g. `x2`, `y`), this axis is bound to the corresponding opposite-letter axis. If set to "free", this axis' position is determined by `position`. automargin Determines whether long tick labels automatically grow the figure margins. autorange Determines whether or not the range of this axis is computed in relation to the input data. See `rangemode` for more info. If `range` is provided, then `autorange` is set to False. autotypenumbers Using "strict" a numeric string in trace data is not converted to a number. Using *convert types* a numeric string in trace data may be treated as a number during automatic axis `type` detection. Defaults to layout.autotypenumbers. calendar Sets the calendar system to use for `range` and `tick0` if this is a date axis. This does not set the calendar for interpreting data on this axis, that's specified in the trace or via the global `layout.calendar` categoryarray Sets the order in which categories on this axis appear. Only has an effect if `categoryorder` is set to "array". Used with `categoryorder`. categoryarraysrc Sets the source reference on Chart Studio Cloud for `categoryarray`. categoryorder Specifies the ordering logic for the case of categorical variables. 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`. Set `categoryorder` to *total ascending* or *total descending* if order should be determined by the numerical order of the values. Similarly, the order can be determined by the min, max, sum, mean or median of all the values. color Sets default for all colors associated with this axis all at once: line, font, tick, and grid colors. Grid color is lightened by blending this with the plot background Individual pieces can override this. constrain If this axis needs to be compressed (either due to its own `scaleanchor` and `scaleratio` or those of the other axis), determines how that happens: by increasing the "range", or by decreasing the "domain". Default is "domain" for axes containing image traces, "range" otherwise. constraintoward If this axis needs to be compressed (either due to its own `scaleanchor` and `scaleratio` or those of the other axis), determines which direction we push the originally specified plot area. Options are "left", "center" (default), and "right" for x axes, and "top", "middle" (default), and "bottom" for y axes. dividercolor Sets the color of the dividers Only has an effect on "multicategory" axes. dividerwidth Sets the width (in px) of the dividers Only has an effect on "multicategory" axes. domain Sets the domain of this axis (in plot fraction). 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. fixedrange Determines whether or not this axis is zoom-able. If true, then zoom is disabled. gridcolor Sets the color of the grid lines. griddash Sets the dash style of lines. Set to a dash type string ("solid", "dot", "dash", "longdash", "dashdot", or "longdashdot") or a dash length list in px (eg "5px,10px,2px,2px"). gridwidth Sets the width (in px) of the grid lines. hoverformat Sets the hover text formatting rule using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display "09~15~23.46" layer Sets the layer on which this axis is displayed. If *above traces*, this axis is displayed above all the subplot's traces If *below traces*, this axis is displayed below all the subplot's traces, but above the grid lines. Useful when used together with scatter-like traces with `cliponaxis` set to False to show markers and/or text nodes above this axis. linecolor Sets the axis line color. linewidth Sets the width (in px) of the axis line. matches If set to another axis id (e.g. `x2`, `y`), the range of this axis will match the range of the corresponding axis in data-coordinates space. Moreover, matching axes share auto-range values, category lists and histogram auto-bins. Note that setting axes simultaneously in both a `scaleanchor` and a `matches` constraint is currently forbidden. Moreover, note that matching axes must have the same `type`. minexponent Hide SI prefix for 10^n if |n| is below this number. This only has an effect when `tickformat` is "SI" or "B". minor :class:`plotly.graph_objects.layout.xaxis.Minor` instance or dict with compatible properties mirror Determines if the axis lines or/and ticks are mirrored to the opposite side of the plotting area. If True, the axis lines are mirrored. If "ticks", the axis lines and ticks are mirrored. If False, mirroring is disable. If "all", axis lines are mirrored on all shared-axes subplots. If "allticks", axis lines and ticks are mirrored on all shared-axes subplots. 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". overlaying If set a same-letter axis id, this axis is overlaid on top of the corresponding same-letter axis, with traces and axes visible for both axes. If False, this axis does not overlay any same-letter axes. In this case, for axes with overlapping domains only the highest- numbered axis will be visible. position Sets the position of this axis in the plotting space (in normalized coordinates). Only has an effect if `anchor` is set to "free". range Sets the range of this axis. If the axis `type` is "log", then you must take the log of your desired range (e.g. to set the range from 1 to 100, set the range from 0 to 2). If the axis `type` is "date", it should be date strings, like date data, though Date objects and unix milliseconds will be accepted and converted to strings. If the axis `type` is "category", it should be numbers, using the scale where each category is assigned a serial number from zero in the order it appears. rangebreaks A tuple of :class:`plotly.graph_objects.layout.xaxis.Rangebreak` instances or dicts with compatible properties rangebreakdefaults When used in a template (as layout.template.layout.xaxis.rangebreakdefaults), sets the default property values to use for elements of layout.xaxis.rangebreaks rangemode If "normal", the range is computed in relation to the extrema of the input data. If *tozero*`, the range extends to 0, regardless of the input data If "nonnegative", the range is non-negative, regardless of the input data. Applies only to linear axes. rangeselector :class:`plotly.graph_objects.layout.xaxis.Rangeselector ` instance or dict with compatible properties rangeslider :class:`plotly.graph_objects.layout.xaxis.Rangeslider` instance or dict with compatible properties scaleanchor If set to another axis id (e.g. `x2`, `y`), the range of this axis changes together with the range of the corresponding axis such that the scale of pixels per unit is in a constant ratio. Both axes are still zoomable, but when you zoom one, the other will zoom the same amount, keeping a fixed midpoint. `constrain` and `constraintoward` determine how we enforce the constraint. You can chain these, ie `yaxis: {scaleanchor: *x*}, xaxis2: {scaleanchor: *y*}` but you can only link axes of the same `type`. The linked axis can have the opposite letter (to constrain the aspect ratio) or the same letter (to match scales across subplots). Loops (`yaxis: {scaleanchor: *x*}, xaxis: {scaleanchor: *y*}` or longer) are redundant and the last constraint encountered will be ignored to avoid possible inconsistent constraints via `scaleratio`. Note that setting axes simultaneously in both a `scaleanchor` and a `matches` constraint is currently forbidden. scaleratio If this axis is linked to another by `scaleanchor`, this determines the pixel to unit scale ratio. For example, if this value is 10, then every unit on this axis spans 10 times the number of pixels as a unit on the linked axis. Use this for example to create an elevation profile where the vertical scale is exaggerated a fixed amount with respect to the horizontal. separatethousands If "true", even 4-digit integers are separated showdividers Determines whether or not a dividers are drawn between the category levels of this axis. Only has an effect on "multicategory" axes. 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. showgrid Determines whether or not grid lines are drawn. If True, the grid lines are drawn at every tick mark. showline Determines whether or not a line bounding this axis is drawn. showspikes Determines whether or not spikes (aka droplines) are drawn for this axis. Note: This only takes affect when hovermode = closest 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. side Determines whether a x (y) axis is positioned at the "bottom" ("left") or "top" ("right") of the plotting area. spikecolor Sets the spike color. If undefined, will use the series color spikedash Sets the dash style of lines. Set to a dash type string ("solid", "dot", "dash", "longdash", "dashdot", or "longdashdot") or a dash length list in px (eg "5px,10px,2px,2px"). spikemode Determines the drawing mode for the spike line If "toaxis", the line is drawn from the data point to the axis the series is plotted on. If "across", the line is drawn across the entire plot area, and supercedes "toaxis". If "marker", then a marker dot is drawn on the axis the series is plotted on spikesnap Determines whether spikelines are stuck to the cursor or to the closest datapoints. spikethickness Sets the width (in px) of the zero line. 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 tick 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-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display "09~15~23.46" tickformatstops A tuple of :class:`plotly.graph_objects.layout.xaxis.Ti ckformatstop` instances or dicts with compatible properties tickformatstopdefaults When used in a template (as layout.template.layout.xaxis.tickformatstopdefaults), sets the default property values to use for elements of layout.xaxis.tickformatstops ticklabelmode Determines where tick labels are drawn with respect to their corresponding ticks and grid lines. Only has an effect for axes of `type` "date" When set to "period", tick labels are drawn in the middle of the period between ticks. ticklabeloverflow Determines how we handle tick labels that would overflow either the graph div or the domain of the axis. The default value for inside tick labels is *hide past domain*. Otherwise on "category" and "multicategory" axes the default is "allow". In other cases the default is *hide past div*. ticklabelposition Determines where tick labels are drawn with respect to the axis Please note that top or bottom has no effect on x axes or when `ticklabelmode` is set to "period". Similarly left or right has no effect on y axes or when `ticklabelmode` is set to "period". Has no effect on "multicategory" axes or when `tickson` is set to "boundaries". When used on axes linked by `matches` or `scaleanchor`, no extra padding for inside labels would be added by autorange, so that the scales could match. ticklabelstep Sets the spacing between tick labels as compared to the spacing between ticks. A value of 1 (default) means each tick gets a label. A value of 2 means shows every 2nd label. A larger value n means only every nth tick is labeled. `tick0` determines which labels are shown. Not implemented for axes with `type` "log" or "multicategory", or when `tickmode` is "array". ticklen Sets the tick length (in px). tickmode Sets the tick mode for this axis. If "auto", the number of ticks is set via `nticks`. If "linear", the placement of the ticks is determined by a starting position `tick0` and a tick step `dtick` ("linear" is the default value if `tick0` and `dtick` are provided). If "array", the placement of the ticks is set via `tickvals` and the tick text is `ticktext`. ("array" is the default value if `tickvals` is provided). tickprefix Sets a tick label prefix. ticks Determines whether ticks are drawn or not. If "", this axis' ticks are not drawn. If "outside" ("inside"), this axis' are drawn outside (inside) the axis lines. tickson Determines where ticks and grid lines are drawn with respect to their corresponding tick labels. Only has an effect for axes of `type` "category" or "multicategory". When set to "boundaries", ticks and grid lines are drawn half a category to the left/bottom of labels. ticksuffix Sets a tick label suffix. ticktext Sets the text displayed at the ticks position via `tickvals`. Only has an effect if `tickmode` is set to "array". Used with `tickvals`. ticktextsrc Sets the source reference on Chart Studio Cloud for `ticktext`. tickvals Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`. tickvalssrc Sets the source reference on Chart Studio Cloud for `tickvals`. tickwidth Sets the tick width (in px). title :class:`plotly.graph_objects.layout.xaxis.Title` instance or dict with compatible properties titlefont Deprecated: Please use layout.xaxis.title.font instead. Sets this axis' title font. Note that the title's font used to be customized by the now deprecated `titlefont` attribute. type Sets the axis type. By default, plotly attempts to determined the axis type by looking into the data of the traces that referenced the axis in question. uirevision Controls persistence of user-driven changes in axis `range`, `autorange`, and `title` if in `editable: true` configuration. Defaults to `layout.uirevision`. visible A single toggle to hide the axis while preserving interaction like dragging. Default is true when a cheater plot is present on the axis, otherwise false zeroline Determines whether or not a line is drawn at along the 0 value of this axis. If True, the zero line is drawn on top of the grid lines. zerolinecolor Sets the line color of the zero line. zerolinewidth Sets the width (in px) of the zero line. Returns ------- XAxis """ super(XAxis, self).__init__("xaxis") if "_parent" in kwargs: self._parent = kwargs["_parent"] return # Validate arg # ------------ if arg is None: arg = {} elif isinstance(arg, self.__class__): arg = arg.to_plotly_json() elif isinstance(arg, dict): arg = _copy.copy(arg) else: raise ValueError( """\ The first argument to the plotly.graph_objs.layout.XAxis constructor must be a dict or an instance of :class:`plotly.graph_objs.layout.XAxis`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) self._validate = kwargs.pop("_validate", True) # Populate data dict with properties # ---------------------------------- _v = arg.pop("anchor", None) _v = anchor if anchor is not None else _v if _v is not None: self["anchor"] = _v _v = arg.pop("automargin", None) _v = automargin if automargin is not None else _v if _v is not None: self["automargin"] = _v _v = arg.pop("autorange", None) _v = autorange if autorange is not None else _v if _v is not None: self["autorange"] = _v _v = arg.pop("autotypenumbers", None) _v = autotypenumbers if autotypenumbers is not None else _v if _v is not None: self["autotypenumbers"] = _v _v = arg.pop("calendar", None) _v = calendar if calendar is not None else _v if _v is not None: self["calendar"] = _v _v = arg.pop("categoryarray", None) _v = categoryarray if categoryarray is not None else _v if _v is not None: self["categoryarray"] = _v _v = arg.pop("categoryarraysrc", None) _v = categoryarraysrc if categoryarraysrc is not None else _v if _v is not None: self["categoryarraysrc"] = _v _v = arg.pop("categoryorder", None) _v = categoryorder if categoryorder is not None else _v if _v is not None: self["categoryorder"] = _v _v = arg.pop("color", None) _v = color if color is not None else _v if _v is not None: self["color"] = _v _v = arg.pop("constrain", None) _v = constrain if constrain is not None else _v if _v is not None: self["constrain"] = _v _v = arg.pop("constraintoward", None) _v = constraintoward if constraintoward is not None else _v if _v is not None: self["constraintoward"] = _v _v = arg.pop("dividercolor", None) _v = dividercolor if dividercolor is not None else _v if _v is not None: self["dividercolor"] = _v _v = arg.pop("dividerwidth", None) _v = dividerwidth if dividerwidth is not None else _v if _v is not None: self["dividerwidth"] = _v _v = arg.pop("domain", None) _v = domain if domain is not None else _v if _v is not None: self["domain"] = _v _v = arg.pop("dtick", None) _v = dtick if dtick is not None else _v if _v is not None: self["dtick"] = _v _v = arg.pop("exponentformat", None) _v = exponentformat if exponentformat is not None else _v if _v is not None: self["exponentformat"] = _v _v = arg.pop("fixedrange", None) _v = fixedrange if fixedrange is not None else _v if _v is not None: self["fixedrange"] = _v _v = arg.pop("gridcolor", None) _v = gridcolor if gridcolor is not None else _v if _v is not None: self["gridcolor"] = _v _v = arg.pop("griddash", None) _v = griddash if griddash is not None else _v if _v is not None: self["griddash"] = _v _v = arg.pop("gridwidth", None) _v = gridwidth if gridwidth is not None else _v if _v is not None: self["gridwidth"] = _v _v = arg.pop("hoverformat", None) _v = hoverformat if hoverformat is not None else _v if _v is not None: self["hoverformat"] = _v _v = arg.pop("layer", None) _v = layer if layer is not None else _v if _v is not None: self["layer"] = _v _v = arg.pop("linecolor", None) _v = linecolor if linecolor is not None else _v if _v is not None: self["linecolor"] = _v _v = arg.pop("linewidth", None) _v = linewidth if linewidth is not None else _v if _v is not None: self["linewidth"] = _v _v = arg.pop("matches", None) _v = matches if matches is not None else _v if _v is not None: self["matches"] = _v _v = arg.pop("minexponent", None) _v = minexponent if minexponent is not None else _v if _v is not None: self["minexponent"] = _v _v = arg.pop("minor", None) _v = minor if minor is not None else _v if _v is not None: self["minor"] = _v _v = arg.pop("mirror", None) _v = mirror if mirror is not None else _v if _v is not None: self["mirror"] = _v _v = arg.pop("nticks", None) _v = nticks if nticks is not None else _v if _v is not None: self["nticks"] = _v _v = arg.pop("overlaying", None) _v = overlaying if overlaying is not None else _v if _v is not None: self["overlaying"] = _v _v = arg.pop("position", None) _v = position if position is not None else _v if _v is not None: self["position"] = _v _v = arg.pop("range", None) _v = range if range is not None else _v if _v is not None: self["range"] = _v _v = arg.pop("rangebreaks", None) _v = rangebreaks if rangebreaks is not None else _v if _v is not None: self["rangebreaks"] = _v _v = arg.pop("rangebreakdefaults", None) _v = rangebreakdefaults if rangebreakdefaults is not None else _v if _v is not None: self["rangebreakdefaults"] = _v _v = arg.pop("rangemode", None) _v = rangemode if rangemode is not None else _v if _v is not None: self["rangemode"] = _v _v = arg.pop("rangeselector", None) _v = rangeselector if rangeselector is not None else _v if _v is not None: self["rangeselector"] = _v _v = arg.pop("rangeslider", None) _v = rangeslider if rangeslider is not None else _v if _v is not None: self["rangeslider"] = _v _v = arg.pop("scaleanchor", None) _v = scaleanchor if scaleanchor is not None else _v if _v is not None: self["scaleanchor"] = _v _v = arg.pop("scaleratio", None) _v = scaleratio if scaleratio is not None else _v if _v is not None: self["scaleratio"] = _v _v = arg.pop("separatethousands", None) _v = separatethousands if separatethousands is not None else _v if _v is not None: self["separatethousands"] = _v _v = arg.pop("showdividers", None) _v = showdividers if showdividers is not None else _v if _v is not None: self["showdividers"] = _v _v = arg.pop("showexponent", None) _v = showexponent if showexponent is not None else _v if _v is not None: self["showexponent"] = _v _v = arg.pop("showgrid", None) _v = showgrid if showgrid is not None else _v if _v is not None: self["showgrid"] = _v _v = arg.pop("showline", None) _v = showline if showline is not None else _v if _v is not None: self["showline"] = _v _v = arg.pop("showspikes", None) _v = showspikes if showspikes is not None else _v if _v is not None: self["showspikes"] = _v _v = arg.pop("showticklabels", None) _v = showticklabels if showticklabels is not None else _v if _v is not None: self["showticklabels"] = _v _v = arg.pop("showtickprefix", None) _v = showtickprefix if showtickprefix is not None else _v if _v is not None: self["showtickprefix"] = _v _v = arg.pop("showticksuffix", None) _v = showticksuffix if showticksuffix is not None else _v if _v is not None: self["showticksuffix"] = _v _v = arg.pop("side", None) _v = side if side is not None else _v if _v is not None: self["side"] = _v _v = arg.pop("spikecolor", None) _v = spikecolor if spikecolor is not None else _v if _v is not None: self["spikecolor"] = _v _v = arg.pop("spikedash", None) _v = spikedash if spikedash is not None else _v if _v is not None: self["spikedash"] = _v _v = arg.pop("spikemode", None) _v = spikemode if spikemode is not None else _v if _v is not None: self["spikemode"] = _v _v = arg.pop("spikesnap", None) _v = spikesnap if spikesnap is not None else _v if _v is not None: self["spikesnap"] = _v _v = arg.pop("spikethickness", None) _v = spikethickness if spikethickness is not None else _v if _v is not None: self["spikethickness"] = _v _v = arg.pop("tick0", None) _v = tick0 if tick0 is not None else _v if _v is not None: self["tick0"] = _v _v = arg.pop("tickangle", None) _v = tickangle if tickangle is not None else _v if _v is not None: self["tickangle"] = _v _v = arg.pop("tickcolor", None) _v = tickcolor if tickcolor is not None else _v if _v is not None: self["tickcolor"] = _v _v = arg.pop("tickfont", None) _v = tickfont if tickfont is not None else _v if _v is not None: self["tickfont"] = _v _v = arg.pop("tickformat", None) _v = tickformat if tickformat is not None else _v if _v is not None: self["tickformat"] = _v _v = arg.pop("tickformatstops", None) _v = tickformatstops if tickformatstops is not None else _v if _v is not None: self["tickformatstops"] = _v _v = arg.pop("tickformatstopdefaults", None) _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v if _v is not None: self["tickformatstopdefaults"] = _v _v = arg.pop("ticklabelmode", None) _v = ticklabelmode if ticklabelmode is not None else _v if _v is not None: self["ticklabelmode"] = _v _v = arg.pop("ticklabeloverflow", None) _v = ticklabeloverflow if ticklabeloverflow is not None else _v if _v is not None: self["ticklabeloverflow"] = _v _v = arg.pop("ticklabelposition", None) _v = ticklabelposition if ticklabelposition is not None else _v if _v is not None: self["ticklabelposition"] = _v _v = arg.pop("ticklabelstep", None) _v = ticklabelstep if ticklabelstep is not None else _v if _v is not None: self["ticklabelstep"] = _v _v = arg.pop("ticklen", None) _v = ticklen if ticklen is not None else _v if _v is not None: self["ticklen"] = _v _v = arg.pop("tickmode", None) _v = tickmode if tickmode is not None else _v if _v is not None: self["tickmode"] = _v _v = arg.pop("tickprefix", None) _v = tickprefix if tickprefix is not None else _v if _v is not None: self["tickprefix"] = _v _v = arg.pop("ticks", None) _v = ticks if ticks is not None else _v if _v is not None: self["ticks"] = _v _v = arg.pop("tickson", None) _v = tickson if tickson is not None else _v if _v is not None: self["tickson"] = _v _v = arg.pop("ticksuffix", None) _v = ticksuffix if ticksuffix is not None else _v if _v is not None: self["ticksuffix"] = _v _v = arg.pop("ticktext", None) _v = ticktext if ticktext is not None else _v if _v is not None: self["ticktext"] = _v _v = arg.pop("ticktextsrc", None) _v = ticktextsrc if ticktextsrc is not None else _v if _v is not None: self["ticktextsrc"] = _v _v = arg.pop("tickvals", None) _v = tickvals if tickvals is not None else _v if _v is not None: self["tickvals"] = _v _v = arg.pop("tickvalssrc", None) _v = tickvalssrc if tickvalssrc is not None else _v if _v is not None: self["tickvalssrc"] = _v _v = arg.pop("tickwidth", None) _v = tickwidth if tickwidth is not None else _v if _v is not None: self["tickwidth"] = _v _v = arg.pop("title", None) _v = title if title is not None else _v if _v is not None: self["title"] = _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("type", None) _v = type if type is not None else _v if _v is not None: self["type"] = _v _v = arg.pop("uirevision", None) _v = uirevision if uirevision is not None else _v if _v is not None: self["uirevision"] = _v _v = arg.pop("visible", None) _v = visible if visible is not None else _v if _v is not None: self["visible"] = _v _v = arg.pop("zeroline", None) _v = zeroline if zeroline is not None else _v if _v is not None: self["zeroline"] = _v _v = arg.pop("zerolinecolor", None) _v = zerolinecolor if zerolinecolor is not None else _v if _v is not None: self["zerolinecolor"] = _v _v = arg.pop("zerolinewidth", None) _v = zerolinewidth if zerolinewidth is not None else _v if _v is not None: self["zerolinewidth"] = _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False