layout.yaxis
fig.update_yaxes(...) fig.update_yaxes(anchor=<VALUE>) "free" | "/^x([2-9]|[1-9][0-9]+)?( domain)?$/" | "/^y([2-9]|[1-9][0-9]+)?( domain)?$/" )
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`.
fig.update_yaxes(automargin=<VALUE>) "height", "width", "left", "right", "top", "bottom" joined with a "+" OR True or False. "height", "width", "height+width", "height+width+left", "True"
Determines whether long tick labels automatically grow the figure margins.
fig.update_yaxes(autorange=<VALUE>) True | False | "reversed" | "min reversed" | "max reversed" | "min" | "max" ) True
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 and it has a value for both the lower and upper bound, `autorange` is set to "False". Using "min" applies autorange only to set the minimum. Using "max" applies autorange only to set the maximum. Using "min reversed" applies autorange only to set the minimum on a reversed axis. Using "max reversed" applies autorange only to set the maximum on a reversed axis. Using "reversed" applies autorange on both ends and reverses the axis direction.
fig.update_yaxes(autorangeoptions=dict(...)) fig.update_yaxes(autorangeoptions_clipmax=<VALUE>) Clip autorange maximum if it goes beyond this value. Has no effect when `autorangeoptions.maxallowed` is provided.
fig.update_yaxes(autorangeoptions_clipmin=<VALUE>) Clip autorange minimum if it goes beyond this value. Has no effect when `autorangeoptions.minallowed` is provided.
fig.update_yaxes(autorangeoptions_include=<VALUE>) Ensure this value is included in autorange.
fig.update_yaxes(autorangeoptions_maxallowed=<VALUE>) Use this value exactly as autorange maximum.
fig.update_yaxes(autorangeoptions_minallowed=<VALUE>) Use this value exactly as autorange minimum.
fig.update_yaxes(autoshift=<VALUE>) Automatically reposition the axis to avoid overlap with other axes with the same `overlaying` value. This repositioning will account for any `shift` amount applied to other axes on the same side with `autoshift` is set to True. Only has an effect if `anchor` is set to "free".
fig.update_yaxes(autotickangles=list(...)) [0, 30, 90]
When `tickangle` is set to "auto", it will be set to the first angle in this array that is large enough to prevent label overlap.
fig.update_yaxes(autotypenumbers=<VALUE>) "convert types" | "strict" ) "convert types"
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.
fig.update_yaxes(calendar=<VALUE>) "chinese" | "coptic" | "discworld" | "ethiopian" | "gregorian" | "hebrew" | "islamic" | "jalali" | "julian" | "mayan" | "nanakshahi" | "nepali" | "persian" | "taiwan" | "thai" | "ummalqura" ) "gregorian"
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`
fig.update_yaxes(categoryarray=<VALUE>) Sets the order in which categories on this axis appear. Only has an effect if `categoryorder` is set to "array". Used with `categoryorder`.
fig.update_yaxes(categoryorder=<VALUE>) "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" | "geometric mean ascending" | "geometric mean descending" | "median ascending" | "median descending" ) "trace"
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, geometric mean or median of all the values.
fig.update_yaxes(color=<VALUE>) "#444"
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.
fig.update_yaxes(constrain=<VALUE>) "range" | "domain" )
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.
fig.update_yaxes(constraintoward=<VALUE>) "left" | "center" | "right" | "top" | "middle" | "bottom" )
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.
fig.update_yaxes(dividercolor=<VALUE>) "#444"
Sets the color of the dividers Only has an effect on "multicategory" axes.
fig.update_yaxes(dividerwidth=<VALUE>) 1
Sets the width (in px) of the dividers Only has an effect on "multicategory" axes.
fig.update_yaxes(domain=list(...)) [0, 1]
Sets the domain of this axis (in plot fraction).
fig.update_yaxes(dtick=<VALUE>) 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<f>", 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<n>" 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"
fig.update_yaxes(exponentformat=<VALUE>) "none" | "e" | "E" | "power" | "SI" | "B" ) "B"
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.
fig.update_yaxes(fixedrange=<VALUE>) Determines whether or not this axis is zoom-able. If True, then zoom is disabled.
fig.update_yaxes(gridcolor=<VALUE>) "#eee"
Sets the color of the grid lines.
fig.update_yaxes(griddash=<VALUE>) "solid"
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").
fig.update_yaxes(gridwidth=<VALUE>) 1
Sets the width (in px) of the grid lines.
fig.update_yaxes(hoverformat=<VALUE>) ""
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"
fig.update_yaxes(insiderange=list(...)) Could be used to set the desired inside range of this axis (excluding the labels) when `ticklabelposition` of the anchored axis has "inside". Not implemented for axes with `type` "log". This would be ignored when `range` is provided.
fig.update_yaxes(labelalias=<VALUE>) Replacement text for specific tick or hover labels. For example using {US: 'USA', CA: 'Canada'} changes US to USA and CA to Canada. The labels we would have shown must match the keys exactly, after adding any tickprefix or ticksuffix. For negative numbers the minus sign symbol used (U+2212) is wider than the regular ascii dash. That means you need to use −1 instead of -1. labelalias can be used with any axis type, and both keys (if needed) and values (if desired) can include html-like tags or MathJax.
fig.update_yaxes(layer=<VALUE>) "above traces" | "below traces" ) "above traces"
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.
fig.update_yaxes(linecolor=<VALUE>) "#444"
Sets the axis line color.
fig.update_yaxes(linewidth=<VALUE>) 1
Sets the width (in px) of the axis line.
fig.update_yaxes(matches=<VALUE>) "/^x([2-9]|[1-9][0-9]+)?( domain)?$/" | "/^y([2-9]|[1-9][0-9]+)?( domain)?$/" )
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`.
fig.update_yaxes(maxallowed=<VALUE>) Determines the maximum range of this axis.
fig.update_yaxes(minallowed=<VALUE>) Determines the minimum range of this axis.
fig.update_yaxes(minexponent=<VALUE>) 3
Hide SI prefix for 10^n if |n| is below this number. This only has an effect when `tickformat` is "SI" or "B".
fig.update_yaxes(minor=dict(...)) fig.update_yaxes(minor_dtick=<VALUE>) 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<f>", 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<n>" 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"
fig.update_yaxes(minor_gridcolor=<VALUE>) "#eee"
Sets the color of the grid lines.
fig.update_yaxes(minor_griddash=<VALUE>) "solid"
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").
fig.update_yaxes(minor_gridwidth=<VALUE>) Sets the width (in px) of the grid lines.
fig.update_yaxes(minor_nticks=<VALUE>) 5
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".
fig.update_yaxes(minor_showgrid=<VALUE>) Determines whether or not grid lines are drawn. If "True", the grid lines are drawn at every tick mark.
fig.update_yaxes(minor_tick0=<VALUE>) 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<f>" (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.
fig.update_yaxes(minor_tickcolor=<VALUE>) "#444"
Sets the tick color.
fig.update_yaxes(minor_ticklen=<VALUE>) Sets the tick length (in px).
fig.update_yaxes(minor_tickmode=<VALUE>) "auto" | "linear" | "array" )
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).
fig.update_yaxes(minor_ticks=<VALUE>) "outside" | "inside" | "" )
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.
fig.update_yaxes(minor_tickvals=<VALUE>) Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`.
fig.update_yaxes(minor_tickwidth=<VALUE>) Sets the tick width (in px).
fig.update_yaxes(minorloglabels=<VALUE>) "small digits" | "complete" | "none" ) "small digits"
Determines how minor log labels are displayed. If "small digits", small digits i.e. 2 or 5 are displayed. If "complete", complete digits are displayed. If "none", no labels are displayed.
fig.update_yaxes(mirror=<VALUE>) True | "ticks" | False | "all" | "allticks" )
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.
fig.update_yaxes(modebardisable=<VALUE>) "autoscale", "zoominout" joined with a "+" OR "none". "autoscale", "zoominout", "autoscale+zoominout", "none" "none"
Disables certain modebar buttons for this axis. "autoscale" disables the autoscale buttons, "zoominout" disables the zoom-in and zoom-out buttons.
fig.update_yaxes(nticks=<VALUE>) 0
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".
fig.update_yaxes(overlaying=<VALUE>) "free" | "/^x([2-9]|[1-9][0-9]+)?( domain)?$/" | "/^y([2-9]|[1-9][0-9]+)?( domain)?$/" )
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.
fig.update_yaxes(position=<VALUE>) 0
Sets the position of this axis in the plotting space (in normalized coordinates). Only has an effect if `anchor` is set to "free".
fig.update_yaxes(range=list(...)) 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. Leaving either or both elements `null` impacts the default `autorange`.
fig.update_yaxes(rangebreaks=list(...)) layout.yaxis.rangebreaks[] Sets the lower and upper bounds of this axis rangebreak. Can be used with `pattern`.
layout.yaxis.rangebreaks[] 86400000
Sets the size of each `values` item. The default is one day in milliseconds.
layout.yaxis.rangebreaks[] True
Determines whether this axis rangebreak is enabled or disabled. Please note that `rangebreaks` only work for "date" axis type.
layout.yaxis.rangebreaks[] 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.
layout.yaxis.rangebreaks[] "day of week" | "hour" | "" )
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).
layout.yaxis.rangebreaks[] 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`.
layout.yaxis.rangebreaks[] Sets the coordinate values corresponding to the rangebreaks. An alternative to `bounds`. Use `dvalue` to set the size of the values along the axis.
fig.update_yaxes(rangemode=<VALUE>) "normal" | "tozero" | "nonnegative" ) "normal"
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.
fig.update_yaxes(scaleanchor=<VALUE>) "/^x([2-9]|[1-9][0-9]+)?( domain)?$/" | "/^y([2-9]|[1-9][0-9]+)?( domain)?$/" | False )
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. Setting `False` allows to remove a default constraint (occasionally, you may need to prevent a default `scaleanchor` constraint from being applied, eg. when having an image trace `yaxis: {scaleanchor: "x"}` is set automatically in order for pixels to be rendered as squares, setting `yaxis: {scaleanchor: False}` allows to remove the constraint).
fig.update_yaxes(scaleratio=<VALUE>) 1
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.
fig.update_yaxes(separatethousands=<VALUE>) If "True", even 4-digit integers are separated
fig.update_yaxes(shift=<VALUE>) Moves the axis a given number of pixels from where it would have been otherwise. Accepts both positive and negative values, which will shift the axis either right or left, respectively. If `autoshift` is set to True, then this defaults to a padding of -3 if `side` is set to "left". and defaults to +3 if `side` is set to "right". Defaults to 0 if `autoshift` is set to False. Only has an effect if `anchor` is set to "free".
fig.update_yaxes(showdividers=<VALUE>) True
Determines whether or not a dividers are drawn between the category levels of this axis. Only has an effect on "multicategory" axes.
fig.update_yaxes(showexponent=<VALUE>) "all" | "first" | "last" | "none" ) "all"
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.
fig.update_yaxes(showgrid=<VALUE>) Determines whether or not grid lines are drawn. If "True", the grid lines are drawn at every tick mark.
fig.update_yaxes(showline=<VALUE>) Determines whether or not a line bounding this axis is drawn.
fig.update_yaxes(showspikes=<VALUE>) Determines whether or not spikes (aka droplines) are drawn for this axis. Note: This only takes affect when hovermode = closest
fig.update_yaxes(showticklabels=<VALUE>) True
Determines whether or not the tick labels are drawn.
fig.update_yaxes(showtickprefix=<VALUE>) "all" | "first" | "last" | "none" ) "all"
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.
fig.update_yaxes(showticksuffix=<VALUE>) "all" | "first" | "last" | "none" ) "all"
Same as `showtickprefix` but for tick suffixes.
fig.update_yaxes(side=<VALUE>) "top" | "bottom" | "left" | "right" )
Determines whether a x (y) axis is positioned at the "bottom" ("left") or "top" ("right") of the plotting area.
fig.update_yaxes(spikecolor=<VALUE>) Sets the spike color. If undefined, will use the series color
fig.update_yaxes(spikedash=<VALUE>) "dash"
Sets the dash style of lines. Set to a dash type string ("solid", "dot", "dash", "longdash", "dashdot", or "longdashdot") or a dash length list in px (eg "5px,10px,2px,2px").
fig.update_yaxes(spikemode=<VALUE>) "toaxis", "across", "marker" joined with a "+" "toaxis", "across", "toaxis+across", "toaxis+across+marker" "toaxis"
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
fig.update_yaxes(spikesnap=<VALUE>) "data" | "cursor" | "hovered data" ) "hovered data"
Determines whether spikelines are stuck to the cursor or to the closest datapoints.
fig.update_yaxes(spikethickness=<VALUE>) 3
Sets the width (in px) of the zero line.
fig.update_yaxes(tick0=<VALUE>) 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<f>" (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.
fig.update_yaxes(tickangle=<VALUE>) "auto"
Sets the angle of the tick labels with respect to the horizontal. For example, a `tickangle` of -90 draws the tick labels vertically.
fig.update_yaxes(tickcolor=<VALUE>) "#444"
Sets the tick color.
fig.update_yaxes(tickfont=dict(...)) Sets the tick font.
fig.update_yaxes(tickfont_color=<VALUE>) fig.update_yaxes(tickfont_family=<VALUE>) HTML font family - the typeface that will be applied by the web browser. The web browser can only apply a font if it is available on the system where it runs. Provide multiple font families, separated by commas, to indicate the order in which to apply fonts if they aren't available.
fig.update_yaxes(tickfont_lineposition=<VALUE>) "under", "over", "through" joined with a "+" OR "none". "under", "over", "under+over", "under+over+through", "none" "none"
Sets the kind of decoration line(s) with text, such as an "under", "over" or "through" as well as combinations e.g. "under+over", etc.
fig.update_yaxes(tickfont_shadow=<VALUE>) "none"
Sets the shape and color of the shadow behind text. "auto" places minimal shadow and applies contrast text font color. See https://developer.mozilla.org/en-US/docs/Web/CSS/text-shadow for additional options.
fig.update_yaxes(tickfont_size=<VALUE>) fig.update_yaxes(tickfont_style=<VALUE>) "normal" | "italic" ) "normal"
Sets whether a font should be styled with a normal or italic face from its family.
fig.update_yaxes(tickfont_textcase=<VALUE>) "normal" | "word caps" | "upper" | "lower" ) "normal"
Sets capitalization of text. It can be used to make text appear in all-uppercase or all-lowercase, or with each word capitalized.
fig.update_yaxes(tickfont_variant=<VALUE>) "normal" | "small-caps" | "all-small-caps" | "all-petite-caps" | "petite-caps" | "unicase" ) "normal"
Sets the variant of the font.
fig.update_yaxes(tickfont_weight=<VALUE>) normal
Sets the weight (or boldness) of the font.
fig.update_yaxes(tickformat=<VALUE>) ""
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"
fig.update_yaxes(tickformatstops=list(...)) layout.yaxis.tickformatstops[] 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"
layout.yaxis.tickformatstops[] True
Determines whether or not this stop is used. If `False`, this stop is ignored even within its `dtickrange`.
layout.yaxis.tickformatstops[] 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.
layout.yaxis.tickformatstops[] 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`.
layout.yaxis.tickformatstops[] ""
string - dtickformat for described zoom level, the same as "tickformat"
fig.update_yaxes(ticklabelindex=<VALUE>) Only for axes with `type` "date" or "linear". Instead of drawing the major tick label, draw the label for the minor tick that is n positions away from the major tick. E.g. to always draw the label for the minor tick before each major tick, choose `ticklabelindex` -1. This is useful for date axes with `ticklabelmode` "period" if you want to label the period that ends with each major tick instead of the period that begins there.
fig.update_yaxes(ticklabelmode=<VALUE>) "instant" | "period" ) "instant"
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.
fig.update_yaxes(ticklabeloverflow=<VALUE>) "allow" | "hide past div" | "hide past domain" )
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".
fig.update_yaxes(ticklabelposition=<VALUE>) "outside" | "inside" | "outside top" | "inside top" | "outside left" | "inside left" | "outside right" | "inside right" | "outside bottom" | "inside bottom" ) "outside"
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" or when `tickson` is set to "boundaries". Similarly, left or right has no effect on y axes or when `ticklabelmode` is set to "period" or when `tickson` is set to "boundaries". Has no effect on "multicategory" axes. 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.
fig.update_yaxes(ticklabelshift=<VALUE>) 0
Shifts the tick labels by the specified number of pixels in parallel to the axis. Positive values move the labels in the positive direction of the axis.
fig.update_yaxes(ticklabelstandoff=<VALUE>) 0
Sets the standoff distance (in px) between the axis tick labels and their default position. A positive `ticklabelstandoff` moves the labels farther away from the plot area if `ticklabelposition` is "outside", and deeper into the plot area if `ticklabelposition` is "inside". A negative `ticklabelstandoff` works in the opposite direction, moving outside ticks towards the plot area and inside ticks towards the outside. If the negative value is large enough, inside ticks can even end up outside and vice versa.
fig.update_yaxes(ticklabelstep=<VALUE>) 1
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".
fig.update_yaxes(ticklen=<VALUE>) 5
Sets the tick length (in px).
fig.update_yaxes(tickmode=<VALUE>) "auto" | "linear" | "array" | "sync" )
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). If "sync", the number of ticks will sync with the overlayed axis set by `overlaying` property.
fig.update_yaxes(tickprefix=<VALUE>) ""
Sets a tick label prefix.
fig.update_yaxes(ticks=<VALUE>) "outside" | "inside" | "" )
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.
fig.update_yaxes(tickson=<VALUE>) "labels" | "boundaries" ) "labels"
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.
fig.update_yaxes(ticksuffix=<VALUE>) ""
Sets a tick label suffix.
fig.update_yaxes(ticktext=<VALUE>) Sets the text displayed at the ticks position via `tickvals`. Only has an effect if `tickmode` is set to "array". Used with `tickvals`.
fig.update_yaxes(tickvals=<VALUE>) Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`.
fig.update_yaxes(tickwidth=<VALUE>) 1
Sets the tick width (in px).
fig.update_yaxes(title=dict(...)) fig.update_yaxes(title_font=dict(...)) Sets this axis' title font.
fig.update_yaxes(title_font_color=<VALUE>) fig.update_yaxes(title_font_family=<VALUE>) HTML font family - the typeface that will be applied by the web browser. The web browser can only apply a font if it is available on the system where it runs. Provide multiple font families, separated by commas, to indicate the order in which to apply fonts if they aren't available.
fig.update_yaxes(title_font_lineposition=<VALUE>) "under", "over", "through" joined with a "+" OR "none". "under", "over", "under+over", "under+over+through", "none" "none"
Sets the kind of decoration line(s) with text, such as an "under", "over" or "through" as well as combinations e.g. "under+over", etc.
fig.update_yaxes(title_font_shadow=<VALUE>) "none"
Sets the shape and color of the shadow behind text. "auto" places minimal shadow and applies contrast text font color. See https://developer.mozilla.org/en-US/docs/Web/CSS/text-shadow for additional options.
fig.update_yaxes(title_font_size=<VALUE>) fig.update_yaxes(title_font_style=<VALUE>) "normal" | "italic" ) "normal"
Sets whether a font should be styled with a normal or italic face from its family.
fig.update_yaxes(title_font_textcase=<VALUE>) "normal" | "word caps" | "upper" | "lower" ) "normal"
Sets capitalization of text. It can be used to make text appear in all-uppercase or all-lowercase, or with each word capitalized.
fig.update_yaxes(title_font_variant=<VALUE>) "normal" | "small-caps" | "all-small-caps" | "all-petite-caps" | "petite-caps" | "unicase" ) "normal"
Sets the variant of the font.
fig.update_yaxes(title_font_weight=<VALUE>) normal
Sets the weight (or boldness) of the font.
fig.update_yaxes(title_standoff=<VALUE>) 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.
fig.update_yaxes(title_text=<VALUE>) Sets the title of this axis.
fig.update_yaxes(type=<VALUE>) "-" | "linear" | "log" | "date" | "category" | "multicategory" ) "-"
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.
fig.update_yaxes(uirevision=<VALUE>) Controls persistence of user-driven changes in axis `range`, `autorange`, and `title` if in `editable: True` configuration. Defaults to `layout.uirevision`.
fig.update_yaxes(unifiedhovertitle=dict(...)) fig.update_yaxes(unifiedhovertitle_text=<VALUE>) ""
Template string used for rendering the title that appear on x or y unified hover box. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-format/tree/v2.2.3#locale_format for details on the date formatting syntax.
fig.update_yaxes(visible=<VALUE>) 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
fig.update_yaxes(zeroline=<VALUE>) 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.
fig.update_yaxes(zerolinecolor=<VALUE>) "#444"
Sets the line color of the zero line.
fig.update_yaxes(zerolinelayer=<VALUE>) "above traces" | "below traces" ) "below traces"
Sets the layer on which this zeroline is displayed. If "above traces", this zeroline is displayed above all the subplot's traces If "below traces", this zeroline is displayed below all the subplot's traces, but above the grid lines. Limitation: "zerolinelayer" currently has no effect if the "zorder" property is set on any trace.
fig.update_yaxes(zerolinewidth=<VALUE>) 1
Sets the width (in px) of the zero line.
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