from plotly.basedatatypes import BaseLayoutHierarchyType import copy class XAxis(BaseLayoutHierarchyType): # 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]+)?$', '^y([2-9]|[1-9][0-9]+)?$'] 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 # 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: ['gregorian', 'chinese', 'coptic', 'discworld', 'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan', 'nanakshahi', 'nepali', 'persian', 'jalali', '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 plot.ly for categoryarray . The 'categoryarraysrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self['categoryarraysrc'] @categoryarraysrc.setter def categoryarraysrc(self, val): self['categoryarraysrc'] = val # categoryorder # ------------- @property def categoryorder(self): """ Specifies the ordering logic for the 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`. The 'categoryorder' property is an enumeration that may be specified as: - One of the following enumeration values: ['trace', 'category ascending', 'category descending', 'array'] Returns ------- Any """ return self['categoryorder'] @categoryorder.setter def categoryorder(self, val): self['categoryorder'] = val # 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, 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" (default), or by decreasing the "domain". 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 # 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, 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 # 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/blob/master/READM E.md#locale_format And for dates see: https://github.com/d3/d3-time- format/blob/master/README.md#locale_format We add one item to d3's date formatter: "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display "09~15~23.46" The '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, 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 # 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]+)?$', '^y([2-9]|[1-9][0-9]+)?$'] 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 # 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 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 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 color 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 plotly.graph_objs.layout.xaxis.rangeslider.YAxi s 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`. 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]+)?$', '^y([2-9]|[1-9][0-9]+)?$'] 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 # 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, 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 a string and must be specified as: - One of the following strings: ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'] - A number that will be converted to a string 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'] 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, 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 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 plotly service (at https://plot.ly or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman". size Returns ------- plotly.graph_objs.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/blob/master/READM E.md#locale_format And for dates see: https://github.com/d3/d3-time- format/blob/master/README.md#locale_format We add one item to d3's date formatter: "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display "09~15~23.46" The 'tickformat' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self['tickformat'] @tickformat.setter def tickformat(self, val): self['tickformat'] = val # tickformatstops # --------------- @property def tickformatstops(self): """ The 'tickformatstops' property is a tuple of instances of Tickformatstop that may be specified as: - A list or tuple of instances of plotly.graph_objs.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 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 # ticklen # ------- @property def ticklen(self): """ Sets the tick length (in px). The 'ticklen' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self['ticklen'] @ticklen.setter def ticklen(self, val): self['ticklen'] = val # tickmode # -------- @property def tickmode(self): """ Sets the tick mode for this axis. If "auto", the number of ticks is set via `nticks`. If "linear", the placement of the ticks is determined by a starting position `tick0` and a tick step `dtick` ("linear" is the default value if `tick0` and `dtick` are provided). If "array", the placement of the ticks is set via `tickvals` and the tick text is `ticktext`. ("array" is the default value if `tickvals` is provided). The 'tickmode' property is an enumeration that may be specified as: - One of the following enumeration values: ['auto', 'linear', 'array'] Returns ------- Any """ return self['tickmode'] @tickmode.setter def tickmode(self, val): self['tickmode'] = val # tickprefix # ---------- @property def tickprefix(self): """ Sets a tick label prefix. The 'tickprefix' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self['tickprefix'] @tickprefix.setter def tickprefix(self, val): self['tickprefix'] = val # ticks # ----- @property def ticks(self): """ Determines whether ticks are drawn or not. If "", this axis' ticks are not drawn. If "outside" ("inside"), this axis' are drawn outside (inside) the axis lines. The 'ticks' property is an enumeration that may be specified as: - One of the following enumeration values: ['outside', 'inside', ''] Returns ------- Any """ return self['ticks'] @ticks.setter def ticks(self, val): self['ticks'] = val # ticksuffix # ---------- @property def ticksuffix(self): """ Sets a tick label suffix. The 'ticksuffix' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self['ticksuffix'] @ticksuffix.setter def ticksuffix(self, val): self['ticksuffix'] = val # ticktext # -------- @property def ticktext(self): """ Sets the text displayed at the ticks position via `tickvals`. Only has an effect if `tickmode` is set to "array". Used with `tickvals`. The 'ticktext' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self['ticktext'] @ticktext.setter def ticktext(self, val): self['ticktext'] = val # ticktextsrc # ----------- @property def ticktextsrc(self): """ Sets the source reference on plot.ly for ticktext . The 'ticktextsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self['ticktextsrc'] @ticktextsrc.setter def ticktextsrc(self, val): self['ticktextsrc'] = val # tickvals # -------- @property def tickvals(self): """ Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`. The 'tickvals' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self['tickvals'] @tickvals.setter def tickvals(self, val): self['tickvals'] = val # tickvalssrc # ----------- @property def tickvalssrc(self): """ Sets the source reference on plot.ly for tickvals . The 'tickvalssrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self['tickvalssrc'] @tickvalssrc.setter def tickvalssrc(self, val): self['tickvalssrc'] = val # tickwidth # --------- @property def tickwidth(self): """ Sets the tick width (in px). The 'tickwidth' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self['tickwidth'] @tickwidth.setter def tickwidth(self, val): self['tickwidth'] = val # title # ----- @property def title(self): """ Sets the title of this axis. The 'title' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self['title'] @title.setter def title(self, val): self['title'] = val # titlefont # --------- @property def titlefont(self): """ Sets this axis' title font. The 'titlefont' property is an instance of Titlefont that may be specified as: - An instance of plotly.graph_objs.layout.xaxis.Titlefont - A dict of string/value properties that will be passed to the Titlefont constructor Supported dict properties: color family HTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The plotly service (at https://plot.ly or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman". size Returns ------- plotly.graph_objs.layout.xaxis.Titlefont """ 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'] Returns ------- Any """ return self['type'] @type.setter def type(self, val): self['type'] = 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, 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 # property parent name # -------------------- @property def _parent_path_str(self): return 'layout' # 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. 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 plot.ly 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`. 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" (default), or by decreasing the "domain". 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. 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. 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-form at/blob/master/README.md#locale_format And for dates see: https://github.com/d3/d3-time- format/blob/master/README.md#locale_format We add one item to d3's date formatter: "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display "09~15~23.46" 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. 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. 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 plotly.graph_objs.layout.xaxis.Rangeselector instance or dict with compatible properties rangeslider plotly.graph_objs.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`. 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 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-form at/blob/master/README.md#locale_format And for dates see: https://github.com/d3/d3-time- format/blob/master/README.md#locale_format We add one item to d3's date formatter: "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display "09~15~23.46" tickformatstops plotly.graph_objs.layout.xaxis.Tickformatstop instance or dict 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 ticklen Sets the tick length (in px). tickmode Sets the tick mode for this axis. If "auto", the number of ticks is set via `nticks`. If "linear", the placement of the ticks is determined by a starting position `tick0` and a tick step `dtick` ("linear" is the default value if `tick0` and `dtick` are provided). If "array", the placement of the ticks is set via `tickvals` and the tick text is `ticktext`. ("array" is the default value if `tickvals` is provided). tickprefix Sets a tick label prefix. ticks Determines whether ticks are drawn or not. If "", this axis' ticks are not drawn. If "outside" ("inside"), this axis' are drawn outside (inside) the axis lines. ticksuffix Sets a tick label suffix. ticktext Sets the text displayed at the ticks position via `tickvals`. Only has an effect if `tickmode` is set to "array". Used with `tickvals`. ticktextsrc Sets the source reference on plot.ly for ticktext . tickvals Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`. tickvalssrc Sets the source reference on plot.ly for tickvals . tickwidth Sets the tick width (in px). title Sets the title of this axis. titlefont Sets this axis' title font. 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. 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. """ def __init__( self, arg=None, anchor=None, automargin=None, autorange=None, calendar=None, categoryarray=None, categoryarraysrc=None, categoryorder=None, color=None, constrain=None, constraintoward=None, domain=None, dtick=None, exponentformat=None, fixedrange=None, gridcolor=None, gridwidth=None, hoverformat=None, layer=None, linecolor=None, linewidth=None, mirror=None, nticks=None, overlaying=None, position=None, range=None, rangemode=None, rangeselector=None, rangeslider=None, scaleanchor=None, scaleratio=None, separatethousands=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, ticklen=None, tickmode=None, tickprefix=None, ticks=None, ticksuffix=None, ticktext=None, ticktextsrc=None, tickvals=None, tickvalssrc=None, tickwidth=None, title=None, titlefont=None, type=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 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. 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 plot.ly 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`. 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" (default), or by decreasing the "domain". 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. 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. 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-form at/blob/master/README.md#locale_format And for dates see: https://github.com/d3/d3-time- format/blob/master/README.md#locale_format We add one item to d3's date formatter: "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display "09~15~23.46" 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. 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. 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 plotly.graph_objs.layout.xaxis.Rangeselector instance or dict with compatible properties rangeslider plotly.graph_objs.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`. 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 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-form at/blob/master/README.md#locale_format And for dates see: https://github.com/d3/d3-time- format/blob/master/README.md#locale_format We add one item to d3's date formatter: "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display "09~15~23.46" tickformatstops plotly.graph_objs.layout.xaxis.Tickformatstop instance or dict 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 ticklen Sets the tick length (in px). tickmode Sets the tick mode for this axis. If "auto", the number of ticks is set via `nticks`. If "linear", the placement of the ticks is determined by a starting position `tick0` and a tick step `dtick` ("linear" is the default value if `tick0` and `dtick` are provided). If "array", the placement of the ticks is set via `tickvals` and the tick text is `ticktext`. ("array" is the default value if `tickvals` is provided). tickprefix Sets a tick label prefix. ticks Determines whether ticks are drawn or not. If "", this axis' ticks are not drawn. If "outside" ("inside"), this axis' are drawn outside (inside) the axis lines. ticksuffix Sets a tick label suffix. ticktext Sets the text displayed at the ticks position via `tickvals`. Only has an effect if `tickmode` is set to "array". Used with `tickvals`. ticktextsrc Sets the source reference on plot.ly for ticktext . tickvals Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`. tickvalssrc Sets the source reference on plot.ly for tickvals . tickwidth Sets the tick width (in px). title Sets the title of this axis. titlefont Sets this axis' title font. 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. 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') # 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 plotly.graph_objs.layout.XAxis""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop('skip_invalid', False) # Import validators # ----------------- from plotly.validators.layout import (xaxis as v_xaxis) # Initialize validators # --------------------- self._validators['anchor'] = v_xaxis.AnchorValidator() self._validators['automargin'] = v_xaxis.AutomarginValidator() self._validators['autorange'] = v_xaxis.AutorangeValidator() self._validators['calendar'] = v_xaxis.CalendarValidator() self._validators['categoryarray'] = v_xaxis.CategoryarrayValidator() self._validators['categoryarraysrc' ] = v_xaxis.CategoryarraysrcValidator() self._validators['categoryorder'] = v_xaxis.CategoryorderValidator() self._validators['color'] = v_xaxis.ColorValidator() self._validators['constrain'] = v_xaxis.ConstrainValidator() self._validators['constraintoward' ] = v_xaxis.ConstraintowardValidator() self._validators['domain'] = v_xaxis.DomainValidator() self._validators['dtick'] = v_xaxis.DtickValidator() self._validators['exponentformat'] = v_xaxis.ExponentformatValidator() self._validators['fixedrange'] = v_xaxis.FixedrangeValidator() self._validators['gridcolor'] = v_xaxis.GridcolorValidator() self._validators['gridwidth'] = v_xaxis.GridwidthValidator() self._validators['hoverformat'] = v_xaxis.HoverformatValidator() self._validators['layer'] = v_xaxis.LayerValidator() self._validators['linecolor'] = v_xaxis.LinecolorValidator() self._validators['linewidth'] = v_xaxis.LinewidthValidator() self._validators['mirror'] = v_xaxis.MirrorValidator() self._validators['nticks'] = v_xaxis.NticksValidator() self._validators['overlaying'] = v_xaxis.OverlayingValidator() self._validators['position'] = v_xaxis.PositionValidator() self._validators['range'] = v_xaxis.RangeValidator() self._validators['rangemode'] = v_xaxis.RangemodeValidator() self._validators['rangeselector'] = v_xaxis.RangeselectorValidator() self._validators['rangeslider'] = v_xaxis.RangesliderValidator() self._validators['scaleanchor'] = v_xaxis.ScaleanchorValidator() self._validators['scaleratio'] = v_xaxis.ScaleratioValidator() self._validators['separatethousands' ] = v_xaxis.SeparatethousandsValidator() self._validators['showexponent'] = v_xaxis.ShowexponentValidator() self._validators['showgrid'] = v_xaxis.ShowgridValidator() self._validators['showline'] = v_xaxis.ShowlineValidator() self._validators['showspikes'] = v_xaxis.ShowspikesValidator() self._validators['showticklabels'] = v_xaxis.ShowticklabelsValidator() self._validators['showtickprefix'] = v_xaxis.ShowtickprefixValidator() self._validators['showticksuffix'] = v_xaxis.ShowticksuffixValidator() self._validators['side'] = v_xaxis.SideValidator() self._validators['spikecolor'] = v_xaxis.SpikecolorValidator() self._validators['spikedash'] = v_xaxis.SpikedashValidator() self._validators['spikemode'] = v_xaxis.SpikemodeValidator() self._validators['spikesnap'] = v_xaxis.SpikesnapValidator() self._validators['spikethickness'] = v_xaxis.SpikethicknessValidator() self._validators['tick0'] = v_xaxis.Tick0Validator() self._validators['tickangle'] = v_xaxis.TickangleValidator() self._validators['tickcolor'] = v_xaxis.TickcolorValidator() self._validators['tickfont'] = v_xaxis.TickfontValidator() self._validators['tickformat'] = v_xaxis.TickformatValidator() self._validators['tickformatstops' ] = v_xaxis.TickformatstopsValidator() self._validators['tickformatstopdefaults' ] = v_xaxis.TickformatstopValidator() self._validators['ticklen'] = v_xaxis.TicklenValidator() self._validators['tickmode'] = v_xaxis.TickmodeValidator() self._validators['tickprefix'] = v_xaxis.TickprefixValidator() self._validators['ticks'] = v_xaxis.TicksValidator() self._validators['ticksuffix'] = v_xaxis.TicksuffixValidator() self._validators['ticktext'] = v_xaxis.TicktextValidator() self._validators['ticktextsrc'] = v_xaxis.TicktextsrcValidator() self._validators['tickvals'] = v_xaxis.TickvalsValidator() self._validators['tickvalssrc'] = v_xaxis.TickvalssrcValidator() self._validators['tickwidth'] = v_xaxis.TickwidthValidator() self._validators['title'] = v_xaxis.TitleValidator() self._validators['titlefont'] = v_xaxis.TitlefontValidator() self._validators['type'] = v_xaxis.TypeValidator() self._validators['visible'] = v_xaxis.VisibleValidator() self._validators['zeroline'] = v_xaxis.ZerolineValidator() self._validators['zerolinecolor'] = v_xaxis.ZerolinecolorValidator() self._validators['zerolinewidth'] = v_xaxis.ZerolinewidthValidator() # Populate data dict with properties # ---------------------------------- _v = arg.pop('anchor', None) self['anchor'] = anchor if anchor is not None else _v _v = arg.pop('automargin', None) self['automargin'] = automargin if automargin is not None else _v _v = arg.pop('autorange', None) self['autorange'] = autorange if autorange is not None else _v _v = arg.pop('calendar', None) self['calendar'] = calendar if calendar is not None else _v _v = arg.pop('categoryarray', None) self['categoryarray' ] = categoryarray if categoryarray is not None else _v _v = arg.pop('categoryarraysrc', None) self['categoryarraysrc' ] = categoryarraysrc if categoryarraysrc is not None else _v _v = arg.pop('categoryorder', None) self['categoryorder' ] = categoryorder if categoryorder is not None else _v _v = arg.pop('color', None) self['color'] = color if color is not None else _v _v = arg.pop('constrain', None) self['constrain'] = constrain if constrain is not None else _v _v = arg.pop('constraintoward', None) self['constraintoward' ] = constraintoward if constraintoward is not None else _v _v = arg.pop('domain', None) self['domain'] = domain if domain is not None else _v _v = arg.pop('dtick', None) self['dtick'] = dtick if dtick is not None else _v _v = arg.pop('exponentformat', None) self['exponentformat' ] = exponentformat if exponentformat is not None else _v _v = arg.pop('fixedrange', None) self['fixedrange'] = fixedrange if fixedrange is not None else _v _v = arg.pop('gridcolor', None) self['gridcolor'] = gridcolor if gridcolor is not None else _v _v = arg.pop('gridwidth', None) self['gridwidth'] = gridwidth if gridwidth is not None else _v _v = arg.pop('hoverformat', None) self['hoverformat'] = hoverformat if hoverformat is not None else _v _v = arg.pop('layer', None) self['layer'] = layer if layer is not None else _v _v = arg.pop('linecolor', None) self['linecolor'] = linecolor if linecolor is not None else _v _v = arg.pop('linewidth', None) self['linewidth'] = linewidth if linewidth is not None else _v _v = arg.pop('mirror', None) self['mirror'] = mirror if mirror is not None else _v _v = arg.pop('nticks', None) self['nticks'] = nticks if nticks is not None else _v _v = arg.pop('overlaying', None) self['overlaying'] = overlaying if overlaying is not None else _v _v = arg.pop('position', None) self['position'] = position if position is not None else _v _v = arg.pop('range', None) self['range'] = range if range is not None else _v _v = arg.pop('rangemode', None) self['rangemode'] = rangemode if rangemode is not None else _v _v = arg.pop('rangeselector', None) self['rangeselector' ] = rangeselector if rangeselector is not None else _v _v = arg.pop('rangeslider', None) self['rangeslider'] = rangeslider if rangeslider is not None else _v _v = arg.pop('scaleanchor', None) self['scaleanchor'] = scaleanchor if scaleanchor is not None else _v _v = arg.pop('scaleratio', None) self['scaleratio'] = scaleratio if scaleratio is not None else _v _v = arg.pop('separatethousands', None) self['separatethousands' ] = separatethousands if separatethousands is not None else _v _v = arg.pop('showexponent', None) self['showexponent'] = showexponent if showexponent is not None else _v _v = arg.pop('showgrid', None) self['showgrid'] = showgrid if showgrid is not None else _v _v = arg.pop('showline', None) self['showline'] = showline if showline is not None else _v _v = arg.pop('showspikes', None) self['showspikes'] = showspikes if showspikes is not None else _v _v = arg.pop('showticklabels', None) self['showticklabels' ] = showticklabels if showticklabels is not None else _v _v = arg.pop('showtickprefix', None) self['showtickprefix' ] = showtickprefix if showtickprefix is not None else _v _v = arg.pop('showticksuffix', None) self['showticksuffix' ] = showticksuffix if showticksuffix is not None else _v _v = arg.pop('side', None) self['side'] = side if side is not None else _v _v = arg.pop('spikecolor', None) self['spikecolor'] = spikecolor if spikecolor is not None else _v _v = arg.pop('spikedash', None) self['spikedash'] = spikedash if spikedash is not None else _v _v = arg.pop('spikemode', None) self['spikemode'] = spikemode if spikemode is not None else _v _v = arg.pop('spikesnap', None) self['spikesnap'] = spikesnap if spikesnap is not None else _v _v = arg.pop('spikethickness', None) self['spikethickness' ] = spikethickness if spikethickness is not None else _v _v = arg.pop('tick0', None) self['tick0'] = tick0 if tick0 is not None else _v _v = arg.pop('tickangle', None) self['tickangle'] = tickangle if tickangle is not None else _v _v = arg.pop('tickcolor', None) self['tickcolor'] = tickcolor if tickcolor is not None else _v _v = arg.pop('tickfont', None) self['tickfont'] = tickfont if tickfont is not None else _v _v = arg.pop('tickformat', None) self['tickformat'] = tickformat if tickformat is not None else _v _v = arg.pop('tickformatstops', None) self['tickformatstops' ] = tickformatstops if tickformatstops is not None else _v _v = arg.pop('tickformatstopdefaults', None) self[ 'tickformatstopdefaults' ] = tickformatstopdefaults if tickformatstopdefaults is not None else _v _v = arg.pop('ticklen', None) self['ticklen'] = ticklen if ticklen is not None else _v _v = arg.pop('tickmode', None) self['tickmode'] = tickmode if tickmode is not None else _v _v = arg.pop('tickprefix', None) self['tickprefix'] = tickprefix if tickprefix is not None else _v _v = arg.pop('ticks', None) self['ticks'] = ticks if ticks is not None else _v _v = arg.pop('ticksuffix', None) self['ticksuffix'] = ticksuffix if ticksuffix is not None else _v _v = arg.pop('ticktext', None) self['ticktext'] = ticktext if ticktext is not None else _v _v = arg.pop('ticktextsrc', None) self['ticktextsrc'] = ticktextsrc if ticktextsrc is not None else _v _v = arg.pop('tickvals', None) self['tickvals'] = tickvals if tickvals is not None else _v _v = arg.pop('tickvalssrc', None) self['tickvalssrc'] = tickvalssrc if tickvalssrc is not None else _v _v = arg.pop('tickwidth', None) self['tickwidth'] = tickwidth if tickwidth is not None else _v _v = arg.pop('title', None) self['title'] = title if title is not None else _v _v = arg.pop('titlefont', None) self['titlefont'] = titlefont if titlefont is not None else _v _v = arg.pop('type', None) self['type'] = type if type is not None else _v _v = arg.pop('visible', None) self['visible'] = visible if visible is not None else _v _v = arg.pop('zeroline', None) self['zeroline'] = zeroline if zeroline is not None else _v _v = arg.pop('zerolinecolor', None) self['zerolinecolor' ] = zerolinecolor if zerolinecolor is not None else _v _v = arg.pop('zerolinewidth', None) self['zerolinewidth' ] = zerolinewidth if zerolinewidth is not None else _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False