2022-05-23 00:16:32 +04:00

3909 lines
146 KiB
Python

from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
import copy as _copy
class YAxis(_BaseLayoutHierarchyType):
# class properties
# --------------------
_parent_path_str = "layout"
_path_str = "layout.yaxis"
_valid_props = {
"anchor",
"automargin",
"autorange",
"autotypenumbers",
"calendar",
"categoryarray",
"categoryarraysrc",
"categoryorder",
"color",
"constrain",
"constraintoward",
"dividercolor",
"dividerwidth",
"domain",
"dtick",
"exponentformat",
"fixedrange",
"gridcolor",
"griddash",
"gridwidth",
"hoverformat",
"layer",
"linecolor",
"linewidth",
"matches",
"minexponent",
"minor",
"mirror",
"nticks",
"overlaying",
"position",
"range",
"rangebreakdefaults",
"rangebreaks",
"rangemode",
"scaleanchor",
"scaleratio",
"separatethousands",
"showdividers",
"showexponent",
"showgrid",
"showline",
"showspikes",
"showticklabels",
"showtickprefix",
"showticksuffix",
"side",
"spikecolor",
"spikedash",
"spikemode",
"spikesnap",
"spikethickness",
"tick0",
"tickangle",
"tickcolor",
"tickfont",
"tickformat",
"tickformatstopdefaults",
"tickformatstops",
"ticklabelmode",
"ticklabeloverflow",
"ticklabelposition",
"ticklabelstep",
"ticklen",
"tickmode",
"tickprefix",
"ticks",
"tickson",
"ticksuffix",
"ticktext",
"ticktextsrc",
"tickvals",
"tickvalssrc",
"tickwidth",
"title",
"titlefont",
"type",
"uirevision",
"visible",
"zeroline",
"zerolinecolor",
"zerolinewidth",
}
# anchor
# ------
@property
def anchor(self):
"""
If set to an opposite-letter axis id (e.g. `x2`, `y`), this
axis is bound to the corresponding opposite-letter axis. If set
to "free", this axis' position is determined by `position`.
The 'anchor' property is an enumeration that may be specified as:
- One of the following enumeration values:
['free']
- A string that matches one of the following regular expressions:
['^x([2-9]|[1-9][0-9]+)?( domain)?$',
'^y([2-9]|[1-9][0-9]+)?( domain)?$']
Returns
-------
Any
"""
return self["anchor"]
@anchor.setter
def anchor(self, val):
self["anchor"] = val
# automargin
# ----------
@property
def automargin(self):
"""
Determines whether long tick labels automatically grow the
figure margins.
The 'automargin' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["automargin"]
@automargin.setter
def automargin(self, val):
self["automargin"] = val
# autorange
# ---------
@property
def autorange(self):
"""
Determines whether or not the range of this axis is computed in
relation to the input data. See `rangemode` for more info. If
`range` is provided, then `autorange` is set to False.
The 'autorange' property is an enumeration that may be specified as:
- One of the following enumeration values:
[True, False, 'reversed']
Returns
-------
Any
"""
return self["autorange"]
@autorange.setter
def autorange(self, val):
self["autorange"] = val
# autotypenumbers
# ---------------
@property
def autotypenumbers(self):
"""
Using "strict" a numeric string in trace data is not converted
to a number. Using *convert types* a numeric string in trace
data may be treated as a number during automatic axis `type`
detection. Defaults to layout.autotypenumbers.
The 'autotypenumbers' property is an enumeration that may be specified as:
- One of the following enumeration values:
['convert types', 'strict']
Returns
-------
Any
"""
return self["autotypenumbers"]
@autotypenumbers.setter
def autotypenumbers(self, val):
self["autotypenumbers"] = val
# calendar
# --------
@property
def calendar(self):
"""
Sets the calendar system to use for `range` and `tick0` if this
is a date axis. This does not set the calendar for interpreting
data on this axis, that's specified in the trace or via the
global `layout.calendar`
The 'calendar' property is an enumeration that may be specified as:
- One of the following enumeration values:
['chinese', 'coptic', 'discworld', 'ethiopian',
'gregorian', 'hebrew', 'islamic', 'jalali', 'julian',
'mayan', 'nanakshahi', 'nepali', 'persian', 'taiwan',
'thai', 'ummalqura']
Returns
-------
Any
"""
return self["calendar"]
@calendar.setter
def calendar(self, val):
self["calendar"] = val
# categoryarray
# -------------
@property
def categoryarray(self):
"""
Sets the order in which categories on this axis appear. Only
has an effect if `categoryorder` is set to "array". Used with
`categoryorder`.
The 'categoryarray' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------
numpy.ndarray
"""
return self["categoryarray"]
@categoryarray.setter
def categoryarray(self, val):
self["categoryarray"] = val
# categoryarraysrc
# ----------------
@property
def categoryarraysrc(self):
"""
Sets the source reference on Chart Studio Cloud for
`categoryarray`.
The 'categoryarraysrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["categoryarraysrc"]
@categoryarraysrc.setter
def categoryarraysrc(self, val):
self["categoryarraysrc"] = val
# categoryorder
# -------------
@property
def categoryorder(self):
"""
Specifies the ordering logic for the case of categorical
variables. By default, plotly uses "trace", which specifies the
order that is present in the data supplied. Set `categoryorder`
to *category ascending* or *category descending* if order
should be determined by the alphanumerical order of the
category names. Set `categoryorder` to "array" to derive the
ordering from the attribute `categoryarray`. If a category is
not found in the `categoryarray` array, the sorting behavior
for that attribute will be identical to the "trace" mode. The
unspecified categories will follow the categories in
`categoryarray`. Set `categoryorder` to *total ascending* or
*total descending* if order should be determined by the
numerical order of the values. Similarly, the order can be
determined by the min, max, sum, mean or median of all the
values.
The 'categoryorder' property is an enumeration that may be specified as:
- One of the following enumeration values:
['trace', 'category ascending', 'category descending',
'array', 'total ascending', 'total descending', 'min
ascending', 'min descending', 'max ascending', 'max
descending', 'sum ascending', 'sum descending', 'mean
ascending', 'mean descending', 'median ascending', 'median
descending']
Returns
-------
Any
"""
return self["categoryorder"]
@categoryorder.setter
def categoryorder(self, val):
self["categoryorder"] = val
# color
# -----
@property
def color(self):
"""
Sets default for all colors associated with this axis all at
once: line, font, tick, and grid colors. Grid color is
lightened by blending this with the plot background Individual
pieces can override this.
The 'color' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
Returns
-------
str
"""
return self["color"]
@color.setter
def color(self, val):
self["color"] = val
# constrain
# ---------
@property
def constrain(self):
"""
If this axis needs to be compressed (either due to its own
`scaleanchor` and `scaleratio` or those of the other axis),
determines how that happens: by increasing the "range", or by
decreasing the "domain". Default is "domain" for axes
containing image traces, "range" otherwise.
The 'constrain' property is an enumeration that may be specified as:
- One of the following enumeration values:
['range', 'domain']
Returns
-------
Any
"""
return self["constrain"]
@constrain.setter
def constrain(self, val):
self["constrain"] = val
# constraintoward
# ---------------
@property
def constraintoward(self):
"""
If this axis needs to be compressed (either due to its own
`scaleanchor` and `scaleratio` or those of the other axis),
determines which direction we push the originally specified
plot area. Options are "left", "center" (default), and "right"
for x axes, and "top", "middle" (default), and "bottom" for y
axes.
The 'constraintoward' property is an enumeration that may be specified as:
- One of the following enumeration values:
['left', 'center', 'right', 'top', 'middle', 'bottom']
Returns
-------
Any
"""
return self["constraintoward"]
@constraintoward.setter
def constraintoward(self, val):
self["constraintoward"] = val
# dividercolor
# ------------
@property
def dividercolor(self):
"""
Sets the color of the dividers Only has an effect on
"multicategory" axes.
The 'dividercolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
Returns
-------
str
"""
return self["dividercolor"]
@dividercolor.setter
def dividercolor(self, val):
self["dividercolor"] = val
# dividerwidth
# ------------
@property
def dividerwidth(self):
"""
Sets the width (in px) of the dividers Only has an effect on
"multicategory" axes.
The 'dividerwidth' property is a number and may be specified as:
- An int or float
Returns
-------
int|float
"""
return self["dividerwidth"]
@dividerwidth.setter
def dividerwidth(self, val):
self["dividerwidth"] = val
# domain
# ------
@property
def domain(self):
"""
Sets the domain of this axis (in plot fraction).
The 'domain' property is an info array that may be specified as:
* a list or tuple of 2 elements where:
(0) The 'domain[0]' property is a number and may be specified as:
- An int or float in the interval [0, 1]
(1) The 'domain[1]' property is a number and may be specified as:
- An int or float in the interval [0, 1]
Returns
-------
list
"""
return self["domain"]
@domain.setter
def domain(self, val):
self["domain"] = val
# dtick
# -----
@property
def dtick(self):
"""
Sets the step in-between ticks on this axis. Use with `tick0`.
Must be a positive number, or special strings available to
"log" and "date" axes. If the axis `type` is "log", then ticks
are set every 10^(n*dtick) where n is the tick number. For
example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
log_10(5), or 0.69897000433. "log" has several special values;
"L<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"
The 'dtick' property accepts values of any type
Returns
-------
Any
"""
return self["dtick"]
@dtick.setter
def dtick(self, val):
self["dtick"] = val
# exponentformat
# --------------
@property
def exponentformat(self):
"""
Determines a formatting rule for the tick exponents. For
example, consider the number 1,000,000,000. If "none", it
appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
"power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
"B", 1B.
The 'exponentformat' property is an enumeration that may be specified as:
- One of the following enumeration values:
['none', 'e', 'E', 'power', 'SI', 'B']
Returns
-------
Any
"""
return self["exponentformat"]
@exponentformat.setter
def exponentformat(self, val):
self["exponentformat"] = val
# fixedrange
# ----------
@property
def fixedrange(self):
"""
Determines whether or not this axis is zoom-able. If true, then
zoom is disabled.
The 'fixedrange' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["fixedrange"]
@fixedrange.setter
def fixedrange(self, val):
self["fixedrange"] = val
# gridcolor
# ---------
@property
def gridcolor(self):
"""
Sets the color of the grid lines.
The 'gridcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
Returns
-------
str
"""
return self["gridcolor"]
@gridcolor.setter
def gridcolor(self, val):
self["gridcolor"] = val
# griddash
# --------
@property
def griddash(self):
"""
Sets the dash style of lines. Set to a dash type string
("solid", "dot", "dash", "longdash", "dashdot", or
"longdashdot") or a dash length list in px (eg
"5px,10px,2px,2px").
The 'griddash' property is an enumeration that may be specified as:
- One of the following dash styles:
['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
- A string containing a dash length list in pixels or percentages
(e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
Returns
-------
str
"""
return self["griddash"]
@griddash.setter
def griddash(self, val):
self["griddash"] = val
# gridwidth
# ---------
@property
def gridwidth(self):
"""
Sets the width (in px) of the grid lines.
The 'gridwidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["gridwidth"]
@gridwidth.setter
def gridwidth(self, val):
self["gridwidth"] = val
# hoverformat
# -----------
@property
def hoverformat(self):
"""
Sets the hover text formatting rule using d3 formatting mini-
languages which are very similar to those in Python. For
numbers, see:
https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for
dates see: https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two items to d3's date
formatter: "%h" for half of the year as a decimal number as
well as "%{n}f" for fractional seconds with n digits. For
example, *2016-10-13 09:15:23.456* with tickformat
"%H~%M~%S.%2f" would display "09~15~23.46"
The 'hoverformat' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["hoverformat"]
@hoverformat.setter
def hoverformat(self, val):
self["hoverformat"] = val
# layer
# -----
@property
def layer(self):
"""
Sets the layer on which this axis is displayed. If *above
traces*, this axis is displayed above all the subplot's traces
If *below traces*, this axis is displayed below all the
subplot's traces, but above the grid lines. Useful when used
together with scatter-like traces with `cliponaxis` set to
False to show markers and/or text nodes above this axis.
The 'layer' property is an enumeration that may be specified as:
- One of the following enumeration values:
['above traces', 'below traces']
Returns
-------
Any
"""
return self["layer"]
@layer.setter
def layer(self, val):
self["layer"] = val
# linecolor
# ---------
@property
def linecolor(self):
"""
Sets the axis line color.
The 'linecolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
Returns
-------
str
"""
return self["linecolor"]
@linecolor.setter
def linecolor(self, val):
self["linecolor"] = val
# linewidth
# ---------
@property
def linewidth(self):
"""
Sets the width (in px) of the axis line.
The 'linewidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["linewidth"]
@linewidth.setter
def linewidth(self, val):
self["linewidth"] = val
# matches
# -------
@property
def matches(self):
"""
If set to another axis id (e.g. `x2`, `y`), the range of this
axis will match the range of the corresponding axis in data-
coordinates space. Moreover, matching axes share auto-range
values, category lists and histogram auto-bins. Note that
setting axes simultaneously in both a `scaleanchor` and a
`matches` constraint is currently forbidden. Moreover, note
that matching axes must have the same `type`.
The 'matches' property is an enumeration that may be specified as:
- A string that matches one of the following regular expressions:
['^x([2-9]|[1-9][0-9]+)?( domain)?$',
'^y([2-9]|[1-9][0-9]+)?( domain)?$']
Returns
-------
Any
"""
return self["matches"]
@matches.setter
def matches(self, val):
self["matches"] = val
# minexponent
# -----------
@property
def minexponent(self):
"""
Hide SI prefix for 10^n if |n| is below this number. This only
has an effect when `tickformat` is "SI" or "B".
The 'minexponent' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["minexponent"]
@minexponent.setter
def minexponent(self, val):
self["minexponent"] = val
# minor
# -----
@property
def minor(self):
"""
The 'minor' property is an instance of Minor
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.yaxis.Minor`
- A dict of string/value properties that will be passed
to the Minor constructor
Supported dict properties:
dtick
Sets the step in-between ticks on this axis.
Use with `tick0`. Must be a positive number, or
special strings available to "log" and "date"
axes. If the axis `type` is "log", then ticks
are set every 10^(n*dtick) where n is the tick
number. For example, to set a tick mark at 1,
10, 100, 1000, ... set dtick to 1. To set tick
marks at 1, 100, 10000, ... set dtick to 2. To
set tick marks at 1, 5, 25, 125, 625, 3125, ...
set dtick to log_10(5), or 0.69897000433. "log"
has several special values; "L<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"
gridcolor
Sets the color of the grid lines.
griddash
Sets the dash style of lines. Set to a dash
type string ("solid", "dot", "dash",
"longdash", "dashdot", or "longdashdot") or a
dash length list in px (eg "5px,10px,2px,2px").
gridwidth
Sets the width (in px) of the grid lines.
nticks
Specifies the maximum number of ticks for the
particular axis. The actual number of ticks
will be chosen automatically to be less than or
equal to `nticks`. Has an effect only if
`tickmode` is set to "auto".
showgrid
Determines whether or not grid lines are drawn.
If True, the grid lines are drawn at every tick
mark.
tick0
Sets the placement of the first tick on this
axis. Use with `dtick`. If the axis `type` is
"log", then you must take the log of your
starting tick (e.g. to set the starting tick to
100, set the `tick0` to 2) except when
`dtick`=*L<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.
tickcolor
Sets the tick color.
ticklen
Sets the tick length (in px).
tickmode
Sets the tick mode for this axis. If "auto",
the number of ticks is set via `nticks`. If
"linear", the placement of the ticks is
determined by a starting position `tick0` and a
tick step `dtick` ("linear" is the default
value if `tick0` and `dtick` are provided). If
"array", the placement of the ticks is set via
`tickvals` and the tick text is `ticktext`.
("array" is the default value if `tickvals` is
provided).
ticks
Determines whether ticks are drawn or not. If
"", this axis' ticks are not drawn. If
"outside" ("inside"), this axis' are drawn
outside (inside) the axis lines.
tickvals
Sets the values at which ticks on this axis
appear. Only has an effect if `tickmode` is set
to "array". Used with `ticktext`.
tickvalssrc
Sets the source reference on Chart Studio Cloud
for `tickvals`.
tickwidth
Sets the tick width (in px).
Returns
-------
plotly.graph_objs.layout.yaxis.Minor
"""
return self["minor"]
@minor.setter
def minor(self, val):
self["minor"] = val
# mirror
# ------
@property
def mirror(self):
"""
Determines if the axis lines or/and ticks are mirrored to the
opposite side of the plotting area. If True, the axis lines are
mirrored. If "ticks", the axis lines and ticks are mirrored. If
False, mirroring is disable. If "all", axis lines are mirrored
on all shared-axes subplots. If "allticks", axis lines and
ticks are mirrored on all shared-axes subplots.
The 'mirror' property is an enumeration that may be specified as:
- One of the following enumeration values:
[True, 'ticks', False, 'all', 'allticks']
Returns
-------
Any
"""
return self["mirror"]
@mirror.setter
def mirror(self, val):
self["mirror"] = val
# nticks
# ------
@property
def nticks(self):
"""
Specifies the maximum number of ticks for the particular axis.
The actual number of ticks will be chosen automatically to be
less than or equal to `nticks`. Has an effect only if
`tickmode` is set to "auto".
The 'nticks' property is a integer and may be specified as:
- An int (or float that will be cast to an int)
in the interval [0, 9223372036854775807]
Returns
-------
int
"""
return self["nticks"]
@nticks.setter
def nticks(self, val):
self["nticks"] = val
# overlaying
# ----------
@property
def overlaying(self):
"""
If set a same-letter axis id, this axis is overlaid on top of
the corresponding same-letter axis, with traces and axes
visible for both axes. If False, this axis does not overlay any
same-letter axes. In this case, for axes with overlapping
domains only the highest-numbered axis will be visible.
The 'overlaying' property is an enumeration that may be specified as:
- One of the following enumeration values:
['free']
- A string that matches one of the following regular expressions:
['^x([2-9]|[1-9][0-9]+)?( domain)?$',
'^y([2-9]|[1-9][0-9]+)?( domain)?$']
Returns
-------
Any
"""
return self["overlaying"]
@overlaying.setter
def overlaying(self, val):
self["overlaying"] = val
# position
# --------
@property
def position(self):
"""
Sets the position of this axis in the plotting space (in
normalized coordinates). Only has an effect if `anchor` is set
to "free".
The 'position' property is a number and may be specified as:
- An int or float in the interval [0, 1]
Returns
-------
int|float
"""
return self["position"]
@position.setter
def position(self, val):
self["position"] = val
# range
# -----
@property
def range(self):
"""
Sets the range of this axis. If the axis `type` is "log", then
you must take the log of your desired range (e.g. to set the
range from 1 to 100, set the range from 0 to 2). If the axis
`type` is "date", it should be date strings, like date data,
though Date objects and unix milliseconds will be accepted and
converted to strings. If the axis `type` is "category", it
should be numbers, using the scale where each category is
assigned a serial number from zero in the order it appears.
The 'range' property is an info array that may be specified as:
* a list or tuple of 2 elements where:
(0) The 'range[0]' property accepts values of any type
(1) The 'range[1]' property accepts values of any type
Returns
-------
list
"""
return self["range"]
@range.setter
def range(self, val):
self["range"] = val
# rangebreaks
# -----------
@property
def rangebreaks(self):
"""
The 'rangebreaks' property is a tuple of instances of
Rangebreak that may be specified as:
- A list or tuple of instances of plotly.graph_objs.layout.yaxis.Rangebreak
- A list or tuple of dicts of string/value properties that
will be passed to the Rangebreak constructor
Supported dict properties:
bounds
Sets the lower and upper bounds of this axis
rangebreak. Can be used with `pattern`.
dvalue
Sets the size of each `values` item. The
default is one day in milliseconds.
enabled
Determines whether this axis rangebreak is
enabled or disabled. Please note that
`rangebreaks` only work for "date" axis type.
name
When used in a template, named items are
created in the output figure in addition to any
items the figure already has in this array. You
can modify these items in the output figure by
making your own item with `templateitemname`
matching this `name` alongside your
modifications (including `visible: false` or
`enabled: false` to hide it). Has no effect
outside of a template.
pattern
Determines a pattern on the time line that
generates breaks. If *day of week* - days of
the week in English e.g. 'Sunday' or `sun`
(matching is case-insensitive and considers
only the first three characters), as well as
Sunday-based integers between 0 and 6. If
"hour" - hour (24-hour clock) as decimal
numbers between 0 and 24. for more info.
Examples: - { pattern: 'day of week', bounds:
[6, 1] } or simply { bounds: ['sat', 'mon'] }
breaks from Saturday to Monday (i.e. skips the
weekends). - { pattern: 'hour', bounds: [17, 8]
} breaks from 5pm to 8am (i.e. skips non-work
hours).
templateitemname
Used to refer to a named item in this array in
the template. Named items from the template
will be created even without a matching item in
the input figure, but you can modify one by
making an item with `templateitemname` matching
its `name`, alongside your modifications
(including `visible: false` or `enabled: false`
to hide it). If there is no template or no
matching item, this item will be hidden unless
you explicitly show it with `visible: true`.
values
Sets the coordinate values corresponding to the
rangebreaks. An alternative to `bounds`. Use
`dvalue` to set the size of the values along
the axis.
Returns
-------
tuple[plotly.graph_objs.layout.yaxis.Rangebreak]
"""
return self["rangebreaks"]
@rangebreaks.setter
def rangebreaks(self, val):
self["rangebreaks"] = val
# rangebreakdefaults
# ------------------
@property
def rangebreakdefaults(self):
"""
When used in a template (as
layout.template.layout.yaxis.rangebreakdefaults), sets the
default property values to use for elements of
layout.yaxis.rangebreaks
The 'rangebreakdefaults' property is an instance of Rangebreak
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.yaxis.Rangebreak`
- A dict of string/value properties that will be passed
to the Rangebreak constructor
Supported dict properties:
Returns
-------
plotly.graph_objs.layout.yaxis.Rangebreak
"""
return self["rangebreakdefaults"]
@rangebreakdefaults.setter
def rangebreakdefaults(self, val):
self["rangebreakdefaults"] = val
# rangemode
# ---------
@property
def rangemode(self):
"""
If "normal", the range is computed in relation to the extrema
of the input data. If *tozero*`, the range extends to 0,
regardless of the input data If "nonnegative", the range is
non-negative, regardless of the input data. Applies only to
linear axes.
The 'rangemode' property is an enumeration that may be specified as:
- One of the following enumeration values:
['normal', 'tozero', 'nonnegative']
Returns
-------
Any
"""
return self["rangemode"]
@rangemode.setter
def rangemode(self, val):
self["rangemode"] = val
# scaleanchor
# -----------
@property
def scaleanchor(self):
"""
If set to another axis id (e.g. `x2`, `y`), the range of this
axis changes together with the range of the corresponding axis
such that the scale of pixels per unit is in a constant ratio.
Both axes are still zoomable, but when you zoom one, the other
will zoom the same amount, keeping a fixed midpoint.
`constrain` and `constraintoward` determine how we enforce the
constraint. You can chain these, ie `yaxis: {scaleanchor: *x*},
xaxis2: {scaleanchor: *y*}` but you can only link axes of the
same `type`. The linked axis can have the opposite letter (to
constrain the aspect ratio) or the same letter (to match scales
across subplots). Loops (`yaxis: {scaleanchor: *x*}, xaxis:
{scaleanchor: *y*}` or longer) are redundant and the last
constraint encountered will be ignored to avoid possible
inconsistent constraints via `scaleratio`. Note that setting
axes simultaneously in both a `scaleanchor` and a `matches`
constraint is currently forbidden.
The 'scaleanchor' property is an enumeration that may be specified as:
- A string that matches one of the following regular expressions:
['^x([2-9]|[1-9][0-9]+)?( domain)?$',
'^y([2-9]|[1-9][0-9]+)?( domain)?$']
Returns
-------
Any
"""
return self["scaleanchor"]
@scaleanchor.setter
def scaleanchor(self, val):
self["scaleanchor"] = val
# scaleratio
# ----------
@property
def scaleratio(self):
"""
If this axis is linked to another by `scaleanchor`, this
determines the pixel to unit scale ratio. For example, if this
value is 10, then every unit on this axis spans 10 times the
number of pixels as a unit on the linked axis. Use this for
example to create an elevation profile where the vertical scale
is exaggerated a fixed amount with respect to the horizontal.
The 'scaleratio' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["scaleratio"]
@scaleratio.setter
def scaleratio(self, val):
self["scaleratio"] = val
# separatethousands
# -----------------
@property
def separatethousands(self):
"""
If "true", even 4-digit integers are separated
The 'separatethousands' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["separatethousands"]
@separatethousands.setter
def separatethousands(self, val):
self["separatethousands"] = val
# showdividers
# ------------
@property
def showdividers(self):
"""
Determines whether or not a dividers are drawn between the
category levels of this axis. Only has an effect on
"multicategory" axes.
The 'showdividers' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["showdividers"]
@showdividers.setter
def showdividers(self, val):
self["showdividers"] = val
# showexponent
# ------------
@property
def showexponent(self):
"""
If "all", all exponents are shown besides their significands.
If "first", only the exponent of the first tick is shown. If
"last", only the exponent of the last tick is shown. If "none",
no exponents appear.
The 'showexponent' property is an enumeration that may be specified as:
- One of the following enumeration values:
['all', 'first', 'last', 'none']
Returns
-------
Any
"""
return self["showexponent"]
@showexponent.setter
def showexponent(self, val):
self["showexponent"] = val
# showgrid
# --------
@property
def showgrid(self):
"""
Determines whether or not grid lines are drawn. If True, the
grid lines are drawn at every tick mark.
The 'showgrid' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["showgrid"]
@showgrid.setter
def showgrid(self, val):
self["showgrid"] = val
# showline
# --------
@property
def showline(self):
"""
Determines whether or not a line bounding this axis is drawn.
The 'showline' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["showline"]
@showline.setter
def showline(self, val):
self["showline"] = val
# showspikes
# ----------
@property
def showspikes(self):
"""
Determines whether or not spikes (aka droplines) are drawn for
this axis. Note: This only takes affect when hovermode =
closest
The 'showspikes' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["showspikes"]
@showspikes.setter
def showspikes(self, val):
self["showspikes"] = val
# showticklabels
# --------------
@property
def showticklabels(self):
"""
Determines whether or not the tick labels are drawn.
The 'showticklabels' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["showticklabels"]
@showticklabels.setter
def showticklabels(self, val):
self["showticklabels"] = val
# showtickprefix
# --------------
@property
def showtickprefix(self):
"""
If "all", all tick labels are displayed with a prefix. If
"first", only the first tick is displayed with a prefix. If
"last", only the last tick is displayed with a suffix. If
"none", tick prefixes are hidden.
The 'showtickprefix' property is an enumeration that may be specified as:
- One of the following enumeration values:
['all', 'first', 'last', 'none']
Returns
-------
Any
"""
return self["showtickprefix"]
@showtickprefix.setter
def showtickprefix(self, val):
self["showtickprefix"] = val
# showticksuffix
# --------------
@property
def showticksuffix(self):
"""
Same as `showtickprefix` but for tick suffixes.
The 'showticksuffix' property is an enumeration that may be specified as:
- One of the following enumeration values:
['all', 'first', 'last', 'none']
Returns
-------
Any
"""
return self["showticksuffix"]
@showticksuffix.setter
def showticksuffix(self, val):
self["showticksuffix"] = val
# side
# ----
@property
def side(self):
"""
Determines whether a x (y) axis is positioned at the "bottom"
("left") or "top" ("right") of the plotting area.
The 'side' property is an enumeration that may be specified as:
- One of the following enumeration values:
['top', 'bottom', 'left', 'right']
Returns
-------
Any
"""
return self["side"]
@side.setter
def side(self, val):
self["side"] = val
# spikecolor
# ----------
@property
def spikecolor(self):
"""
Sets the spike color. If undefined, will use the series color
The 'spikecolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
Returns
-------
str
"""
return self["spikecolor"]
@spikecolor.setter
def spikecolor(self, val):
self["spikecolor"] = val
# spikedash
# ---------
@property
def spikedash(self):
"""
Sets the dash style of lines. Set to a dash type string
("solid", "dot", "dash", "longdash", "dashdot", or
"longdashdot") or a dash length list in px (eg
"5px,10px,2px,2px").
The 'spikedash' property is an enumeration that may be specified as:
- One of the following dash styles:
['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
- A string containing a dash length list in pixels or percentages
(e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
Returns
-------
str
"""
return self["spikedash"]
@spikedash.setter
def spikedash(self, val):
self["spikedash"] = val
# spikemode
# ---------
@property
def spikemode(self):
"""
Determines the drawing mode for the spike line If "toaxis", the
line is drawn from the data point to the axis the series is
plotted on. If "across", the line is drawn across the entire
plot area, and supercedes "toaxis". If "marker", then a marker
dot is drawn on the axis the series is plotted on
The 'spikemode' property is a flaglist and may be specified
as a string containing:
- Any combination of ['toaxis', 'across', 'marker'] joined with '+' characters
(e.g. 'toaxis+across')
Returns
-------
Any
"""
return self["spikemode"]
@spikemode.setter
def spikemode(self, val):
self["spikemode"] = val
# spikesnap
# ---------
@property
def spikesnap(self):
"""
Determines whether spikelines are stuck to the cursor or to the
closest datapoints.
The 'spikesnap' property is an enumeration that may be specified as:
- One of the following enumeration values:
['data', 'cursor', 'hovered data']
Returns
-------
Any
"""
return self["spikesnap"]
@spikesnap.setter
def spikesnap(self, val):
self["spikesnap"] = val
# spikethickness
# --------------
@property
def spikethickness(self):
"""
Sets the width (in px) of the zero line.
The 'spikethickness' property is a number and may be specified as:
- An int or float
Returns
-------
int|float
"""
return self["spikethickness"]
@spikethickness.setter
def spikethickness(self, val):
self["spikethickness"] = val
# tick0
# -----
@property
def tick0(self):
"""
Sets the placement of the first tick on this axis. Use with
`dtick`. If the axis `type` is "log", then you must take the
log of your starting tick (e.g. to set the starting tick to
100, set the `tick0` to 2) except when `dtick`=*L<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.
The 'tick0' property accepts values of any type
Returns
-------
Any
"""
return self["tick0"]
@tick0.setter
def tick0(self, val):
self["tick0"] = val
# tickangle
# ---------
@property
def tickangle(self):
"""
Sets the angle of the tick labels with respect to the
horizontal. For example, a `tickangle` of -90 draws the tick
labels vertically.
The 'tickangle' property is a angle (in degrees) that may be
specified as a number between -180 and 180. Numeric values outside this
range are converted to the equivalent value
(e.g. 270 is converted to -90).
Returns
-------
int|float
"""
return self["tickangle"]
@tickangle.setter
def tickangle(self, val):
self["tickangle"] = val
# tickcolor
# ---------
@property
def tickcolor(self):
"""
Sets the tick color.
The 'tickcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
Returns
-------
str
"""
return self["tickcolor"]
@tickcolor.setter
def tickcolor(self, val):
self["tickcolor"] = val
# tickfont
# --------
@property
def tickfont(self):
"""
Sets the tick font.
The 'tickfont' property is an instance of Tickfont
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.yaxis.Tickfont`
- A dict of string/value properties that will be passed
to the Tickfont constructor
Supported dict properties:
color
family
HTML font family - the typeface that will be
applied by the web browser. The web browser
will only be able to apply a font if it is
available on the system which it operates.
Provide multiple font families, separated by
commas, to indicate the preference in which to
apply fonts if they aren't available on the
system. The Chart Studio Cloud (at
https://chart-studio.plotly.com or on-premise)
generates images on a server, where only a
select number of fonts are installed and
supported. These include "Arial", "Balto",
"Courier New", "Droid Sans",, "Droid Serif",
"Droid Sans Mono", "Gravitas One", "Old
Standard TT", "Open Sans", "Overpass", "PT Sans
Narrow", "Raleway", "Times New Roman".
size
Returns
-------
plotly.graph_objs.layout.yaxis.Tickfont
"""
return self["tickfont"]
@tickfont.setter
def tickfont(self, val):
self["tickfont"] = val
# tickformat
# ----------
@property
def tickformat(self):
"""
Sets the tick label formatting rule using d3 formatting mini-
languages which are very similar to those in Python. For
numbers, see:
https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for
dates see: https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two items to d3's date
formatter: "%h" for half of the year as a decimal number as
well as "%{n}f" for fractional seconds with n digits. For
example, *2016-10-13 09:15:23.456* with tickformat
"%H~%M~%S.%2f" would display "09~15~23.46"
The 'tickformat' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["tickformat"]
@tickformat.setter
def tickformat(self, val):
self["tickformat"] = val
# tickformatstops
# ---------------
@property
def tickformatstops(self):
"""
The 'tickformatstops' property is a tuple of instances of
Tickformatstop that may be specified as:
- A list or tuple of instances of plotly.graph_objs.layout.yaxis.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.yaxis.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.yaxis.tickformatstopdefaults), sets the
default property values to use for elements of
layout.yaxis.tickformatstops
The 'tickformatstopdefaults' property is an instance of Tickformatstop
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.yaxis.Tickformatstop`
- A dict of string/value properties that will be passed
to the Tickformatstop constructor
Supported dict properties:
Returns
-------
plotly.graph_objs.layout.yaxis.Tickformatstop
"""
return self["tickformatstopdefaults"]
@tickformatstopdefaults.setter
def tickformatstopdefaults(self, val):
self["tickformatstopdefaults"] = val
# ticklabelmode
# -------------
@property
def ticklabelmode(self):
"""
Determines where tick labels are drawn with respect to their
corresponding ticks and grid lines. Only has an effect for axes
of `type` "date" When set to "period", tick labels are drawn in
the middle of the period between ticks.
The 'ticklabelmode' property is an enumeration that may be specified as:
- One of the following enumeration values:
['instant', 'period']
Returns
-------
Any
"""
return self["ticklabelmode"]
@ticklabelmode.setter
def ticklabelmode(self, val):
self["ticklabelmode"] = val
# ticklabeloverflow
# -----------------
@property
def ticklabeloverflow(self):
"""
Determines how we handle tick labels that would overflow either
the graph div or the domain of the axis. The default value for
inside tick labels is *hide past domain*. Otherwise on
"category" and "multicategory" axes the default is "allow". In
other cases the default is *hide past div*.
The 'ticklabeloverflow' property is an enumeration that may be specified as:
- One of the following enumeration values:
['allow', 'hide past div', 'hide past domain']
Returns
-------
Any
"""
return self["ticklabeloverflow"]
@ticklabeloverflow.setter
def ticklabeloverflow(self, val):
self["ticklabeloverflow"] = val
# ticklabelposition
# -----------------
@property
def ticklabelposition(self):
"""
Determines where tick labels are drawn with respect to the axis
Please note that top or bottom has no effect on x axes or when
`ticklabelmode` is set to "period". Similarly left or right has
no effect on y axes or when `ticklabelmode` is set to "period".
Has no effect on "multicategory" axes or when `tickson` is set
to "boundaries". When used on axes linked by `matches` or
`scaleanchor`, no extra padding for inside labels would be
added by autorange, so that the scales could match.
The 'ticklabelposition' property is an enumeration that may be specified as:
- One of the following enumeration values:
['outside', 'inside', 'outside top', 'inside top',
'outside left', 'inside left', 'outside right', 'inside
right', 'outside bottom', 'inside bottom']
Returns
-------
Any
"""
return self["ticklabelposition"]
@ticklabelposition.setter
def ticklabelposition(self, val):
self["ticklabelposition"] = val
# ticklabelstep
# -------------
@property
def ticklabelstep(self):
"""
Sets the spacing between tick labels as compared to the spacing
between ticks. A value of 1 (default) means each tick gets a
label. A value of 2 means shows every 2nd label. A larger value
n means only every nth tick is labeled. `tick0` determines
which labels are shown. Not implemented for axes with `type`
"log" or "multicategory", or when `tickmode` is "array".
The 'ticklabelstep' property is a integer and may be specified as:
- An int (or float that will be cast to an int)
in the interval [1, 9223372036854775807]
Returns
-------
int
"""
return self["ticklabelstep"]
@ticklabelstep.setter
def ticklabelstep(self, val):
self["ticklabelstep"] = val
# ticklen
# -------
@property
def ticklen(self):
"""
Sets the tick length (in px).
The 'ticklen' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["ticklen"]
@ticklen.setter
def ticklen(self, val):
self["ticklen"] = val
# tickmode
# --------
@property
def tickmode(self):
"""
Sets the tick mode for this axis. If "auto", the number of
ticks is set via `nticks`. If "linear", the placement of the
ticks is determined by a starting position `tick0` and a tick
step `dtick` ("linear" is the default value if `tick0` and
`dtick` are provided). If "array", the placement of the ticks
is set via `tickvals` and the tick text is `ticktext`. ("array"
is the default value if `tickvals` is provided).
The 'tickmode' property is an enumeration that may be specified as:
- One of the following enumeration values:
['auto', 'linear', 'array']
Returns
-------
Any
"""
return self["tickmode"]
@tickmode.setter
def tickmode(self, val):
self["tickmode"] = val
# tickprefix
# ----------
@property
def tickprefix(self):
"""
Sets a tick label prefix.
The 'tickprefix' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["tickprefix"]
@tickprefix.setter
def tickprefix(self, val):
self["tickprefix"] = val
# ticks
# -----
@property
def ticks(self):
"""
Determines whether ticks are drawn or not. If "", this axis'
ticks are not drawn. If "outside" ("inside"), this axis' are
drawn outside (inside) the axis lines.
The 'ticks' property is an enumeration that may be specified as:
- One of the following enumeration values:
['outside', 'inside', '']
Returns
-------
Any
"""
return self["ticks"]
@ticks.setter
def ticks(self, val):
self["ticks"] = val
# tickson
# -------
@property
def tickson(self):
"""
Determines where ticks and grid lines are drawn with respect to
their corresponding tick labels. Only has an effect for axes of
`type` "category" or "multicategory". When set to "boundaries",
ticks and grid lines are drawn half a category to the
left/bottom of labels.
The 'tickson' property is an enumeration that may be specified as:
- One of the following enumeration values:
['labels', 'boundaries']
Returns
-------
Any
"""
return self["tickson"]
@tickson.setter
def tickson(self, val):
self["tickson"] = val
# ticksuffix
# ----------
@property
def ticksuffix(self):
"""
Sets a tick label suffix.
The 'ticksuffix' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["ticksuffix"]
@ticksuffix.setter
def ticksuffix(self, val):
self["ticksuffix"] = val
# ticktext
# --------
@property
def ticktext(self):
"""
Sets the text displayed at the ticks position via `tickvals`.
Only has an effect if `tickmode` is set to "array". Used with
`tickvals`.
The 'ticktext' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------
numpy.ndarray
"""
return self["ticktext"]
@ticktext.setter
def ticktext(self, val):
self["ticktext"] = val
# ticktextsrc
# -----------
@property
def ticktextsrc(self):
"""
Sets the source reference on Chart Studio Cloud for `ticktext`.
The 'ticktextsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["ticktextsrc"]
@ticktextsrc.setter
def ticktextsrc(self, val):
self["ticktextsrc"] = val
# tickvals
# --------
@property
def tickvals(self):
"""
Sets the values at which ticks on this axis appear. Only has an
effect if `tickmode` is set to "array". Used with `ticktext`.
The 'tickvals' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------
numpy.ndarray
"""
return self["tickvals"]
@tickvals.setter
def tickvals(self, val):
self["tickvals"] = val
# tickvalssrc
# -----------
@property
def tickvalssrc(self):
"""
Sets the source reference on Chart Studio Cloud for `tickvals`.
The 'tickvalssrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["tickvalssrc"]
@tickvalssrc.setter
def tickvalssrc(self, val):
self["tickvalssrc"] = val
# tickwidth
# ---------
@property
def tickwidth(self):
"""
Sets the tick width (in px).
The 'tickwidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["tickwidth"]
@tickwidth.setter
def tickwidth(self, val):
self["tickwidth"] = val
# title
# -----
@property
def title(self):
"""
The 'title' property is an instance of Title
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.yaxis.Title`
- A dict of string/value properties that will be passed
to the Title constructor
Supported dict properties:
font
Sets this axis' title font. Note that the
title's font used to be customized by the now
deprecated `titlefont` attribute.
standoff
Sets the standoff distance (in px) between the
axis labels and the title text The default
value is a function of the axis tick labels,
the title `font.size` and the axis `linewidth`.
Note that the axis title position is always
constrained within the margins, so the actual
standoff distance is always less than the set
or default value. By setting `standoff` and
turning on `automargin`, plotly.js will push
the margins to fit the axis title at given
standoff distance.
text
Sets the title of this axis. Note that before
the existence of `title.text`, the title's
contents used to be defined as the `title`
attribute itself. This behavior has been
deprecated.
Returns
-------
plotly.graph_objs.layout.yaxis.Title
"""
return self["title"]
@title.setter
def title(self, val):
self["title"] = val
# titlefont
# ---------
@property
def titlefont(self):
"""
Deprecated: Please use layout.yaxis.title.font instead. Sets
this axis' title font. Note that the title's font used to be
customized by the now deprecated `titlefont` attribute.
The 'font' property is an instance of Font
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.yaxis.title.Font`
- A dict of string/value properties that will be passed
to the Font constructor
Supported dict properties:
color
family
HTML font family - the typeface that will be
applied by the web browser. The web browser
will only be able to apply a font if it is
available on the system which it operates.
Provide multiple font families, separated by
commas, to indicate the preference in which to
apply fonts if they aren't available on the
system. The Chart Studio Cloud (at
https://chart-studio.plotly.com or on-premise)
generates images on a server, where only a
select number of fonts are installed and
supported. These include "Arial", "Balto",
"Courier New", "Droid Sans",, "Droid Serif",
"Droid Sans Mono", "Gravitas One", "Old
Standard TT", "Open Sans", "Overpass", "PT Sans
Narrow", "Raleway", "Times New Roman".
size
Returns
-------
"""
return self["titlefont"]
@titlefont.setter
def titlefont(self, val):
self["titlefont"] = val
# type
# ----
@property
def type(self):
"""
Sets the axis type. By default, plotly attempts to determined
the axis type by looking into the data of the traces that
referenced the axis in question.
The 'type' property is an enumeration that may be specified as:
- One of the following enumeration values:
['-', 'linear', 'log', 'date', 'category',
'multicategory']
Returns
-------
Any
"""
return self["type"]
@type.setter
def type(self, val):
self["type"] = val
# uirevision
# ----------
@property
def uirevision(self):
"""
Controls persistence of user-driven changes in axis `range`,
`autorange`, and `title` if in `editable: true` configuration.
Defaults to `layout.uirevision`.
The 'uirevision' property accepts values of any type
Returns
-------
Any
"""
return self["uirevision"]
@uirevision.setter
def uirevision(self, val):
self["uirevision"] = val
# visible
# -------
@property
def visible(self):
"""
A single toggle to hide the axis while preserving interaction
like dragging. Default is true when a cheater plot is present
on the axis, otherwise false
The 'visible' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["visible"]
@visible.setter
def visible(self, val):
self["visible"] = val
# zeroline
# --------
@property
def zeroline(self):
"""
Determines whether or not a line is drawn at along the 0 value
of this axis. If True, the zero line is drawn on top of the
grid lines.
The 'zeroline' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["zeroline"]
@zeroline.setter
def zeroline(self, val):
self["zeroline"] = val
# zerolinecolor
# -------------
@property
def zerolinecolor(self):
"""
Sets the line color of the zero line.
The 'zerolinecolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
Returns
-------
str
"""
return self["zerolinecolor"]
@zerolinecolor.setter
def zerolinecolor(self, val):
self["zerolinecolor"] = val
# zerolinewidth
# -------------
@property
def zerolinewidth(self):
"""
Sets the width (in px) of the zero line.
The 'zerolinewidth' property is a number and may be specified as:
- An int or float
Returns
-------
int|float
"""
return self["zerolinewidth"]
@zerolinewidth.setter
def zerolinewidth(self, val):
self["zerolinewidth"] = val
# Self properties description
# ---------------------------
@property
def _prop_descriptions(self):
return """\
anchor
If set to an opposite-letter axis id (e.g. `x2`, `y`),
this axis is bound to the corresponding opposite-letter
axis. If set to "free", this axis' position is
determined by `position`.
automargin
Determines whether long tick labels automatically grow
the figure margins.
autorange
Determines whether or not the range of this axis is
computed in relation to the input data. See `rangemode`
for more info. If `range` is provided, then `autorange`
is set to False.
autotypenumbers
Using "strict" a numeric string in trace data is not
converted to a number. Using *convert types* a numeric
string in trace data may be treated as a number during
automatic axis `type` detection. Defaults to
layout.autotypenumbers.
calendar
Sets the calendar system to use for `range` and `tick0`
if this is a date axis. This does not set the calendar
for interpreting data on this axis, that's specified in
the trace or via the global `layout.calendar`
categoryarray
Sets the order in which categories on this axis appear.
Only has an effect if `categoryorder` is set to
"array". Used with `categoryorder`.
categoryarraysrc
Sets the source reference on Chart Studio Cloud for
`categoryarray`.
categoryorder
Specifies the ordering logic for the case of
categorical variables. By default, plotly uses "trace",
which specifies the order that is present in the data
supplied. Set `categoryorder` to *category ascending*
or *category descending* if order should be determined
by the alphanumerical order of the category names. Set
`categoryorder` to "array" to derive the ordering from
the attribute `categoryarray`. If a category is not
found in the `categoryarray` array, the sorting
behavior for that attribute will be identical to the
"trace" mode. The unspecified categories will follow
the categories in `categoryarray`. Set `categoryorder`
to *total ascending* or *total descending* if order
should be determined by the numerical order of the
values. Similarly, the order can be determined by the
min, max, sum, mean or median of all the values.
color
Sets default for all colors associated with this axis
all at once: line, font, tick, and grid colors. Grid
color is lightened by blending this with the plot
background Individual pieces can override this.
constrain
If this axis needs to be compressed (either due to its
own `scaleanchor` and `scaleratio` or those of the
other axis), determines how that happens: by increasing
the "range", or by decreasing the "domain". Default is
"domain" for axes containing image traces, "range"
otherwise.
constraintoward
If this axis needs to be compressed (either due to its
own `scaleanchor` and `scaleratio` or those of the
other axis), determines which direction we push the
originally specified plot area. Options are "left",
"center" (default), and "right" for x axes, and "top",
"middle" (default), and "bottom" for y axes.
dividercolor
Sets the color of the dividers Only has an effect on
"multicategory" axes.
dividerwidth
Sets the width (in px) of the dividers Only has an
effect on "multicategory" axes.
domain
Sets the domain of this axis (in plot fraction).
dtick
Sets the step in-between ticks on this axis. Use with
`tick0`. Must be a positive number, or special strings
available to "log" and "date" axes. If the axis `type`
is "log", then ticks are set every 10^(n*dtick) where n
is the tick number. For example, to set a tick mark at
1, 10, 100, 1000, ... set dtick to 1. To set tick marks
at 1, 100, 10000, ... set dtick to 2. To set tick marks
at 1, 5, 25, 125, 625, 3125, ... set dtick to
log_10(5), or 0.69897000433. "log" has several special
values; "L<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"
exponentformat
Determines a formatting rule for the tick exponents.
For example, consider the number 1,000,000,000. If
"none", it appears as 1,000,000,000. If "e", 1e+9. If
"E", 1E+9. If "power", 1x10^9 (with 9 in a super
script). If "SI", 1G. If "B", 1B.
fixedrange
Determines whether or not this axis is zoom-able. If
true, then zoom is disabled.
gridcolor
Sets the color of the grid lines.
griddash
Sets the dash style of lines. Set to a dash type string
("solid", "dot", "dash", "longdash", "dashdot", or
"longdashdot") or a dash length list in px (eg
"5px,10px,2px,2px").
gridwidth
Sets the width (in px) of the grid lines.
hoverformat
Sets the hover text formatting rule using d3 formatting
mini-languages which are very similar to those in
Python. For numbers, see:
https://github.com/d3/d3-format/tree/v1.4.5#d3-format.
And for dates see: https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two items to
d3's date formatter: "%h" for half of the year as a
decimal number as well as "%{n}f" for fractional
seconds with n digits. For example, *2016-10-13
09:15:23.456* with tickformat "%H~%M~%S.%2f" would
display "09~15~23.46"
layer
Sets the layer on which this axis is displayed. If
*above traces*, this axis is displayed above all the
subplot's traces If *below traces*, this axis is
displayed below all the subplot's traces, but above the
grid lines. Useful when used together with scatter-like
traces with `cliponaxis` set to False to show markers
and/or text nodes above this axis.
linecolor
Sets the axis line color.
linewidth
Sets the width (in px) of the axis line.
matches
If set to another axis id (e.g. `x2`, `y`), the range
of this axis will match the range of the corresponding
axis in data-coordinates space. Moreover, matching axes
share auto-range values, category lists and histogram
auto-bins. Note that setting axes simultaneously in
both a `scaleanchor` and a `matches` constraint is
currently forbidden. Moreover, note that matching axes
must have the same `type`.
minexponent
Hide SI prefix for 10^n if |n| is below this number.
This only has an effect when `tickformat` is "SI" or
"B".
minor
:class:`plotly.graph_objects.layout.yaxis.Minor`
instance or dict with compatible properties
mirror
Determines if the axis lines or/and ticks are mirrored
to the opposite side of the plotting area. If True, the
axis lines are mirrored. If "ticks", the axis lines and
ticks are mirrored. If False, mirroring is disable. If
"all", axis lines are mirrored on all shared-axes
subplots. If "allticks", axis lines and ticks are
mirrored on all shared-axes subplots.
nticks
Specifies the maximum number of ticks for the
particular axis. The actual number of ticks will be
chosen automatically to be less than or equal to
`nticks`. Has an effect only if `tickmode` is set to
"auto".
overlaying
If set a same-letter axis id, this axis is overlaid on
top of the corresponding same-letter axis, with traces
and axes visible for both axes. If False, this axis
does not overlay any same-letter axes. In this case,
for axes with overlapping domains only the highest-
numbered axis will be visible.
position
Sets the position of this axis in the plotting space
(in normalized coordinates). Only has an effect if
`anchor` is set to "free".
range
Sets the range of this axis. If the axis `type` is
"log", then you must take the log of your desired range
(e.g. to set the range from 1 to 100, set the range
from 0 to 2). If the axis `type` is "date", it should
be date strings, like date data, though Date objects
and unix milliseconds will be accepted and converted to
strings. If the axis `type` is "category", it should be
numbers, using the scale where each category is
assigned a serial number from zero in the order it
appears.
rangebreaks
A tuple of
:class:`plotly.graph_objects.layout.yaxis.Rangebreak`
instances or dicts with compatible properties
rangebreakdefaults
When used in a template (as
layout.template.layout.yaxis.rangebreakdefaults), sets
the default property values to use for elements of
layout.yaxis.rangebreaks
rangemode
If "normal", the range is computed in relation to the
extrema of the input data. If *tozero*`, the range
extends to 0, regardless of the input data If
"nonnegative", the range is non-negative, regardless of
the input data. Applies only to linear axes.
scaleanchor
If set to another axis id (e.g. `x2`, `y`), the range
of this axis changes together with the range of the
corresponding axis such that the scale of pixels per
unit is in a constant ratio. Both axes are still
zoomable, but when you zoom one, the other will zoom
the same amount, keeping a fixed midpoint. `constrain`
and `constraintoward` determine how we enforce the
constraint. You can chain these, ie `yaxis:
{scaleanchor: *x*}, xaxis2: {scaleanchor: *y*}` but you
can only link axes of the same `type`. The linked axis
can have the opposite letter (to constrain the aspect
ratio) or the same letter (to match scales across
subplots). Loops (`yaxis: {scaleanchor: *x*}, xaxis:
{scaleanchor: *y*}` or longer) are redundant and the
last constraint encountered will be ignored to avoid
possible inconsistent constraints via `scaleratio`.
Note that setting axes simultaneously in both a
`scaleanchor` and a `matches` constraint is currently
forbidden.
scaleratio
If this axis is linked to another by `scaleanchor`,
this determines the pixel to unit scale ratio. For
example, if this value is 10, then every unit on this
axis spans 10 times the number of pixels as a unit on
the linked axis. Use this for example to create an
elevation profile where the vertical scale is
exaggerated a fixed amount with respect to the
horizontal.
separatethousands
If "true", even 4-digit integers are separated
showdividers
Determines whether or not a dividers are drawn between
the category levels of this axis. Only has an effect on
"multicategory" axes.
showexponent
If "all", all exponents are shown besides their
significands. If "first", only the exponent of the
first tick is shown. If "last", only the exponent of
the last tick is shown. If "none", no exponents appear.
showgrid
Determines whether or not grid lines are drawn. If
True, the grid lines are drawn at every tick mark.
showline
Determines whether or not a line bounding this axis is
drawn.
showspikes
Determines whether or not spikes (aka droplines) are
drawn for this axis. Note: This only takes affect when
hovermode = closest
showticklabels
Determines whether or not the tick labels are drawn.
showtickprefix
If "all", all tick labels are displayed with a prefix.
If "first", only the first tick is displayed with a
prefix. If "last", only the last tick is displayed with
a suffix. If "none", tick prefixes are hidden.
showticksuffix
Same as `showtickprefix` but for tick suffixes.
side
Determines whether a x (y) axis is positioned at the
"bottom" ("left") or "top" ("right") of the plotting
area.
spikecolor
Sets the spike color. If undefined, will use the series
color
spikedash
Sets the dash style of lines. Set to a dash type string
("solid", "dot", "dash", "longdash", "dashdot", or
"longdashdot") or a dash length list in px (eg
"5px,10px,2px,2px").
spikemode
Determines the drawing mode for the spike line If
"toaxis", the line is drawn from the data point to the
axis the series is plotted on. If "across", the line
is drawn across the entire plot area, and supercedes
"toaxis". If "marker", then a marker dot is drawn on
the axis the series is plotted on
spikesnap
Determines whether spikelines are stuck to the cursor
or to the closest datapoints.
spikethickness
Sets the width (in px) of the zero line.
tick0
Sets the placement of the first tick on this axis. Use
with `dtick`. If the axis `type` is "log", then you
must take the log of your starting tick (e.g. to set
the starting tick to 100, set the `tick0` to 2) except
when `dtick`=*L<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.
tickangle
Sets the angle of the tick labels with respect to the
horizontal. For example, a `tickangle` of -90 draws the
tick labels vertically.
tickcolor
Sets the tick color.
tickfont
Sets the tick font.
tickformat
Sets the tick label formatting rule using d3 formatting
mini-languages which are very similar to those in
Python. For numbers, see:
https://github.com/d3/d3-format/tree/v1.4.5#d3-format.
And for dates see: https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two items to
d3's date formatter: "%h" for half of the year as a
decimal number as well as "%{n}f" for fractional
seconds with n digits. For example, *2016-10-13
09:15:23.456* with tickformat "%H~%M~%S.%2f" would
display "09~15~23.46"
tickformatstops
A tuple of :class:`plotly.graph_objects.layout.yaxis.Ti
ckformatstop` instances or dicts with compatible
properties
tickformatstopdefaults
When used in a template (as
layout.template.layout.yaxis.tickformatstopdefaults),
sets the default property values to use for elements of
layout.yaxis.tickformatstops
ticklabelmode
Determines where tick labels are drawn with respect to
their corresponding ticks and grid lines. Only has an
effect for axes of `type` "date" When set to "period",
tick labels are drawn in the middle of the period
between ticks.
ticklabeloverflow
Determines how we handle tick labels that would
overflow either the graph div or the domain of the
axis. The default value for inside tick labels is *hide
past domain*. Otherwise on "category" and
"multicategory" axes the default is "allow". In other
cases the default is *hide past div*.
ticklabelposition
Determines where tick labels are drawn with respect to
the axis Please note that top or bottom has no effect
on x axes or when `ticklabelmode` is set to "period".
Similarly left or right has no effect on y axes or when
`ticklabelmode` is set to "period". Has no effect on
"multicategory" axes or when `tickson` is set to
"boundaries". When used on axes linked by `matches` or
`scaleanchor`, no extra padding for inside labels would
be added by autorange, so that the scales could match.
ticklabelstep
Sets the spacing between tick labels as compared to the
spacing between ticks. A value of 1 (default) means
each tick gets a label. A value of 2 means shows every
2nd label. A larger value n means only every nth tick
is labeled. `tick0` determines which labels are shown.
Not implemented for axes with `type` "log" or
"multicategory", or when `tickmode` is "array".
ticklen
Sets the tick length (in px).
tickmode
Sets the tick mode for this axis. If "auto", the number
of ticks is set via `nticks`. If "linear", the
placement of the ticks is determined by a starting
position `tick0` and a tick step `dtick` ("linear" is
the default value if `tick0` and `dtick` are provided).
If "array", the placement of the ticks is set via
`tickvals` and the tick text is `ticktext`. ("array" is
the default value if `tickvals` is provided).
tickprefix
Sets a tick label prefix.
ticks
Determines whether ticks are drawn or not. If "", this
axis' ticks are not drawn. If "outside" ("inside"),
this axis' are drawn outside (inside) the axis lines.
tickson
Determines where ticks and grid lines are drawn with
respect to their corresponding tick labels. Only has an
effect for axes of `type` "category" or
"multicategory". When set to "boundaries", ticks and
grid lines are drawn half a category to the left/bottom
of labels.
ticksuffix
Sets a tick label suffix.
ticktext
Sets the text displayed at the ticks position via
`tickvals`. Only has an effect if `tickmode` is set to
"array". Used with `tickvals`.
ticktextsrc
Sets the source reference on Chart Studio Cloud for
`ticktext`.
tickvals
Sets the values at which ticks on this axis appear.
Only has an effect if `tickmode` is set to "array".
Used with `ticktext`.
tickvalssrc
Sets the source reference on Chart Studio Cloud for
`tickvals`.
tickwidth
Sets the tick width (in px).
title
:class:`plotly.graph_objects.layout.yaxis.Title`
instance or dict with compatible properties
titlefont
Deprecated: Please use layout.yaxis.title.font instead.
Sets this axis' title font. Note that the title's font
used to be customized by the now deprecated `titlefont`
attribute.
type
Sets the axis type. By default, plotly attempts to
determined the axis type by looking into the data of
the traces that referenced the axis in question.
uirevision
Controls persistence of user-driven changes in axis
`range`, `autorange`, and `title` if in `editable:
true` configuration. Defaults to `layout.uirevision`.
visible
A single toggle to hide the axis while preserving
interaction like dragging. Default is true when a
cheater plot is present on the axis, otherwise false
zeroline
Determines whether or not a line is drawn at along the
0 value of this axis. If True, the zero line is drawn
on top of the grid lines.
zerolinecolor
Sets the line color of the zero line.
zerolinewidth
Sets the width (in px) of the zero line.
"""
_mapped_properties = {"titlefont": ("title", "font")}
def __init__(
self,
arg=None,
anchor=None,
automargin=None,
autorange=None,
autotypenumbers=None,
calendar=None,
categoryarray=None,
categoryarraysrc=None,
categoryorder=None,
color=None,
constrain=None,
constraintoward=None,
dividercolor=None,
dividerwidth=None,
domain=None,
dtick=None,
exponentformat=None,
fixedrange=None,
gridcolor=None,
griddash=None,
gridwidth=None,
hoverformat=None,
layer=None,
linecolor=None,
linewidth=None,
matches=None,
minexponent=None,
minor=None,
mirror=None,
nticks=None,
overlaying=None,
position=None,
range=None,
rangebreaks=None,
rangebreakdefaults=None,
rangemode=None,
scaleanchor=None,
scaleratio=None,
separatethousands=None,
showdividers=None,
showexponent=None,
showgrid=None,
showline=None,
showspikes=None,
showticklabels=None,
showtickprefix=None,
showticksuffix=None,
side=None,
spikecolor=None,
spikedash=None,
spikemode=None,
spikesnap=None,
spikethickness=None,
tick0=None,
tickangle=None,
tickcolor=None,
tickfont=None,
tickformat=None,
tickformatstops=None,
tickformatstopdefaults=None,
ticklabelmode=None,
ticklabeloverflow=None,
ticklabelposition=None,
ticklabelstep=None,
ticklen=None,
tickmode=None,
tickprefix=None,
ticks=None,
tickson=None,
ticksuffix=None,
ticktext=None,
ticktextsrc=None,
tickvals=None,
tickvalssrc=None,
tickwidth=None,
title=None,
titlefont=None,
type=None,
uirevision=None,
visible=None,
zeroline=None,
zerolinecolor=None,
zerolinewidth=None,
**kwargs,
):
"""
Construct a new YAxis object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.layout.YAxis`
anchor
If set to an opposite-letter axis id (e.g. `x2`, `y`),
this axis is bound to the corresponding opposite-letter
axis. If set to "free", this axis' position is
determined by `position`.
automargin
Determines whether long tick labels automatically grow
the figure margins.
autorange
Determines whether or not the range of this axis is
computed in relation to the input data. See `rangemode`
for more info. If `range` is provided, then `autorange`
is set to False.
autotypenumbers
Using "strict" a numeric string in trace data is not
converted to a number. Using *convert types* a numeric
string in trace data may be treated as a number during
automatic axis `type` detection. Defaults to
layout.autotypenumbers.
calendar
Sets the calendar system to use for `range` and `tick0`
if this is a date axis. This does not set the calendar
for interpreting data on this axis, that's specified in
the trace or via the global `layout.calendar`
categoryarray
Sets the order in which categories on this axis appear.
Only has an effect if `categoryorder` is set to
"array". Used with `categoryorder`.
categoryarraysrc
Sets the source reference on Chart Studio Cloud for
`categoryarray`.
categoryorder
Specifies the ordering logic for the case of
categorical variables. By default, plotly uses "trace",
which specifies the order that is present in the data
supplied. Set `categoryorder` to *category ascending*
or *category descending* if order should be determined
by the alphanumerical order of the category names. Set
`categoryorder` to "array" to derive the ordering from
the attribute `categoryarray`. If a category is not
found in the `categoryarray` array, the sorting
behavior for that attribute will be identical to the
"trace" mode. The unspecified categories will follow
the categories in `categoryarray`. Set `categoryorder`
to *total ascending* or *total descending* if order
should be determined by the numerical order of the
values. Similarly, the order can be determined by the
min, max, sum, mean or median of all the values.
color
Sets default for all colors associated with this axis
all at once: line, font, tick, and grid colors. Grid
color is lightened by blending this with the plot
background Individual pieces can override this.
constrain
If this axis needs to be compressed (either due to its
own `scaleanchor` and `scaleratio` or those of the
other axis), determines how that happens: by increasing
the "range", or by decreasing the "domain". Default is
"domain" for axes containing image traces, "range"
otherwise.
constraintoward
If this axis needs to be compressed (either due to its
own `scaleanchor` and `scaleratio` or those of the
other axis), determines which direction we push the
originally specified plot area. Options are "left",
"center" (default), and "right" for x axes, and "top",
"middle" (default), and "bottom" for y axes.
dividercolor
Sets the color of the dividers Only has an effect on
"multicategory" axes.
dividerwidth
Sets the width (in px) of the dividers Only has an
effect on "multicategory" axes.
domain
Sets the domain of this axis (in plot fraction).
dtick
Sets the step in-between ticks on this axis. Use with
`tick0`. Must be a positive number, or special strings
available to "log" and "date" axes. If the axis `type`
is "log", then ticks are set every 10^(n*dtick) where n
is the tick number. For example, to set a tick mark at
1, 10, 100, 1000, ... set dtick to 1. To set tick marks
at 1, 100, 10000, ... set dtick to 2. To set tick marks
at 1, 5, 25, 125, 625, 3125, ... set dtick to
log_10(5), or 0.69897000433. "log" has several special
values; "L<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"
exponentformat
Determines a formatting rule for the tick exponents.
For example, consider the number 1,000,000,000. If
"none", it appears as 1,000,000,000. If "e", 1e+9. If
"E", 1E+9. If "power", 1x10^9 (with 9 in a super
script). If "SI", 1G. If "B", 1B.
fixedrange
Determines whether or not this axis is zoom-able. If
true, then zoom is disabled.
gridcolor
Sets the color of the grid lines.
griddash
Sets the dash style of lines. Set to a dash type string
("solid", "dot", "dash", "longdash", "dashdot", or
"longdashdot") or a dash length list in px (eg
"5px,10px,2px,2px").
gridwidth
Sets the width (in px) of the grid lines.
hoverformat
Sets the hover text formatting rule using d3 formatting
mini-languages which are very similar to those in
Python. For numbers, see:
https://github.com/d3/d3-format/tree/v1.4.5#d3-format.
And for dates see: https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two items to
d3's date formatter: "%h" for half of the year as a
decimal number as well as "%{n}f" for fractional
seconds with n digits. For example, *2016-10-13
09:15:23.456* with tickformat "%H~%M~%S.%2f" would
display "09~15~23.46"
layer
Sets the layer on which this axis is displayed. If
*above traces*, this axis is displayed above all the
subplot's traces If *below traces*, this axis is
displayed below all the subplot's traces, but above the
grid lines. Useful when used together with scatter-like
traces with `cliponaxis` set to False to show markers
and/or text nodes above this axis.
linecolor
Sets the axis line color.
linewidth
Sets the width (in px) of the axis line.
matches
If set to another axis id (e.g. `x2`, `y`), the range
of this axis will match the range of the corresponding
axis in data-coordinates space. Moreover, matching axes
share auto-range values, category lists and histogram
auto-bins. Note that setting axes simultaneously in
both a `scaleanchor` and a `matches` constraint is
currently forbidden. Moreover, note that matching axes
must have the same `type`.
minexponent
Hide SI prefix for 10^n if |n| is below this number.
This only has an effect when `tickformat` is "SI" or
"B".
minor
:class:`plotly.graph_objects.layout.yaxis.Minor`
instance or dict with compatible properties
mirror
Determines if the axis lines or/and ticks are mirrored
to the opposite side of the plotting area. If True, the
axis lines are mirrored. If "ticks", the axis lines and
ticks are mirrored. If False, mirroring is disable. If
"all", axis lines are mirrored on all shared-axes
subplots. If "allticks", axis lines and ticks are
mirrored on all shared-axes subplots.
nticks
Specifies the maximum number of ticks for the
particular axis. The actual number of ticks will be
chosen automatically to be less than or equal to
`nticks`. Has an effect only if `tickmode` is set to
"auto".
overlaying
If set a same-letter axis id, this axis is overlaid on
top of the corresponding same-letter axis, with traces
and axes visible for both axes. If False, this axis
does not overlay any same-letter axes. In this case,
for axes with overlapping domains only the highest-
numbered axis will be visible.
position
Sets the position of this axis in the plotting space
(in normalized coordinates). Only has an effect if
`anchor` is set to "free".
range
Sets the range of this axis. If the axis `type` is
"log", then you must take the log of your desired range
(e.g. to set the range from 1 to 100, set the range
from 0 to 2). If the axis `type` is "date", it should
be date strings, like date data, though Date objects
and unix milliseconds will be accepted and converted to
strings. If the axis `type` is "category", it should be
numbers, using the scale where each category is
assigned a serial number from zero in the order it
appears.
rangebreaks
A tuple of
:class:`plotly.graph_objects.layout.yaxis.Rangebreak`
instances or dicts with compatible properties
rangebreakdefaults
When used in a template (as
layout.template.layout.yaxis.rangebreakdefaults), sets
the default property values to use for elements of
layout.yaxis.rangebreaks
rangemode
If "normal", the range is computed in relation to the
extrema of the input data. If *tozero*`, the range
extends to 0, regardless of the input data If
"nonnegative", the range is non-negative, regardless of
the input data. Applies only to linear axes.
scaleanchor
If set to another axis id (e.g. `x2`, `y`), the range
of this axis changes together with the range of the
corresponding axis such that the scale of pixels per
unit is in a constant ratio. Both axes are still
zoomable, but when you zoom one, the other will zoom
the same amount, keeping a fixed midpoint. `constrain`
and `constraintoward` determine how we enforce the
constraint. You can chain these, ie `yaxis:
{scaleanchor: *x*}, xaxis2: {scaleanchor: *y*}` but you
can only link axes of the same `type`. The linked axis
can have the opposite letter (to constrain the aspect
ratio) or the same letter (to match scales across
subplots). Loops (`yaxis: {scaleanchor: *x*}, xaxis:
{scaleanchor: *y*}` or longer) are redundant and the
last constraint encountered will be ignored to avoid
possible inconsistent constraints via `scaleratio`.
Note that setting axes simultaneously in both a
`scaleanchor` and a `matches` constraint is currently
forbidden.
scaleratio
If this axis is linked to another by `scaleanchor`,
this determines the pixel to unit scale ratio. For
example, if this value is 10, then every unit on this
axis spans 10 times the number of pixels as a unit on
the linked axis. Use this for example to create an
elevation profile where the vertical scale is
exaggerated a fixed amount with respect to the
horizontal.
separatethousands
If "true", even 4-digit integers are separated
showdividers
Determines whether or not a dividers are drawn between
the category levels of this axis. Only has an effect on
"multicategory" axes.
showexponent
If "all", all exponents are shown besides their
significands. If "first", only the exponent of the
first tick is shown. If "last", only the exponent of
the last tick is shown. If "none", no exponents appear.
showgrid
Determines whether or not grid lines are drawn. If
True, the grid lines are drawn at every tick mark.
showline
Determines whether or not a line bounding this axis is
drawn.
showspikes
Determines whether or not spikes (aka droplines) are
drawn for this axis. Note: This only takes affect when
hovermode = closest
showticklabels
Determines whether or not the tick labels are drawn.
showtickprefix
If "all", all tick labels are displayed with a prefix.
If "first", only the first tick is displayed with a
prefix. If "last", only the last tick is displayed with
a suffix. If "none", tick prefixes are hidden.
showticksuffix
Same as `showtickprefix` but for tick suffixes.
side
Determines whether a x (y) axis is positioned at the
"bottom" ("left") or "top" ("right") of the plotting
area.
spikecolor
Sets the spike color. If undefined, will use the series
color
spikedash
Sets the dash style of lines. Set to a dash type string
("solid", "dot", "dash", "longdash", "dashdot", or
"longdashdot") or a dash length list in px (eg
"5px,10px,2px,2px").
spikemode
Determines the drawing mode for the spike line If
"toaxis", the line is drawn from the data point to the
axis the series is plotted on. If "across", the line
is drawn across the entire plot area, and supercedes
"toaxis". If "marker", then a marker dot is drawn on
the axis the series is plotted on
spikesnap
Determines whether spikelines are stuck to the cursor
or to the closest datapoints.
spikethickness
Sets the width (in px) of the zero line.
tick0
Sets the placement of the first tick on this axis. Use
with `dtick`. If the axis `type` is "log", then you
must take the log of your starting tick (e.g. to set
the starting tick to 100, set the `tick0` to 2) except
when `dtick`=*L<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.
tickangle
Sets the angle of the tick labels with respect to the
horizontal. For example, a `tickangle` of -90 draws the
tick labels vertically.
tickcolor
Sets the tick color.
tickfont
Sets the tick font.
tickformat
Sets the tick label formatting rule using d3 formatting
mini-languages which are very similar to those in
Python. For numbers, see:
https://github.com/d3/d3-format/tree/v1.4.5#d3-format.
And for dates see: https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two items to
d3's date formatter: "%h" for half of the year as a
decimal number as well as "%{n}f" for fractional
seconds with n digits. For example, *2016-10-13
09:15:23.456* with tickformat "%H~%M~%S.%2f" would
display "09~15~23.46"
tickformatstops
A tuple of :class:`plotly.graph_objects.layout.yaxis.Ti
ckformatstop` instances or dicts with compatible
properties
tickformatstopdefaults
When used in a template (as
layout.template.layout.yaxis.tickformatstopdefaults),
sets the default property values to use for elements of
layout.yaxis.tickformatstops
ticklabelmode
Determines where tick labels are drawn with respect to
their corresponding ticks and grid lines. Only has an
effect for axes of `type` "date" When set to "period",
tick labels are drawn in the middle of the period
between ticks.
ticklabeloverflow
Determines how we handle tick labels that would
overflow either the graph div or the domain of the
axis. The default value for inside tick labels is *hide
past domain*. Otherwise on "category" and
"multicategory" axes the default is "allow". In other
cases the default is *hide past div*.
ticklabelposition
Determines where tick labels are drawn with respect to
the axis Please note that top or bottom has no effect
on x axes or when `ticklabelmode` is set to "period".
Similarly left or right has no effect on y axes or when
`ticklabelmode` is set to "period". Has no effect on
"multicategory" axes or when `tickson` is set to
"boundaries". When used on axes linked by `matches` or
`scaleanchor`, no extra padding for inside labels would
be added by autorange, so that the scales could match.
ticklabelstep
Sets the spacing between tick labels as compared to the
spacing between ticks. A value of 1 (default) means
each tick gets a label. A value of 2 means shows every
2nd label. A larger value n means only every nth tick
is labeled. `tick0` determines which labels are shown.
Not implemented for axes with `type` "log" or
"multicategory", or when `tickmode` is "array".
ticklen
Sets the tick length (in px).
tickmode
Sets the tick mode for this axis. If "auto", the number
of ticks is set via `nticks`. If "linear", the
placement of the ticks is determined by a starting
position `tick0` and a tick step `dtick` ("linear" is
the default value if `tick0` and `dtick` are provided).
If "array", the placement of the ticks is set via
`tickvals` and the tick text is `ticktext`. ("array" is
the default value if `tickvals` is provided).
tickprefix
Sets a tick label prefix.
ticks
Determines whether ticks are drawn or not. If "", this
axis' ticks are not drawn. If "outside" ("inside"),
this axis' are drawn outside (inside) the axis lines.
tickson
Determines where ticks and grid lines are drawn with
respect to their corresponding tick labels. Only has an
effect for axes of `type` "category" or
"multicategory". When set to "boundaries", ticks and
grid lines are drawn half a category to the left/bottom
of labels.
ticksuffix
Sets a tick label suffix.
ticktext
Sets the text displayed at the ticks position via
`tickvals`. Only has an effect if `tickmode` is set to
"array". Used with `tickvals`.
ticktextsrc
Sets the source reference on Chart Studio Cloud for
`ticktext`.
tickvals
Sets the values at which ticks on this axis appear.
Only has an effect if `tickmode` is set to "array".
Used with `ticktext`.
tickvalssrc
Sets the source reference on Chart Studio Cloud for
`tickvals`.
tickwidth
Sets the tick width (in px).
title
:class:`plotly.graph_objects.layout.yaxis.Title`
instance or dict with compatible properties
titlefont
Deprecated: Please use layout.yaxis.title.font instead.
Sets this axis' title font. Note that the title's font
used to be customized by the now deprecated `titlefont`
attribute.
type
Sets the axis type. By default, plotly attempts to
determined the axis type by looking into the data of
the traces that referenced the axis in question.
uirevision
Controls persistence of user-driven changes in axis
`range`, `autorange`, and `title` if in `editable:
true` configuration. Defaults to `layout.uirevision`.
visible
A single toggle to hide the axis while preserving
interaction like dragging. Default is true when a
cheater plot is present on the axis, otherwise false
zeroline
Determines whether or not a line is drawn at along the
0 value of this axis. If True, the zero line is drawn
on top of the grid lines.
zerolinecolor
Sets the line color of the zero line.
zerolinewidth
Sets the width (in px) of the zero line.
Returns
-------
YAxis
"""
super(YAxis, self).__init__("yaxis")
if "_parent" in kwargs:
self._parent = kwargs["_parent"]
return
# Validate arg
# ------------
if arg is None:
arg = {}
elif isinstance(arg, self.__class__):
arg = arg.to_plotly_json()
elif isinstance(arg, dict):
arg = _copy.copy(arg)
else:
raise ValueError(
"""\
The first argument to the plotly.graph_objs.layout.YAxis
constructor must be a dict or
an instance of :class:`plotly.graph_objs.layout.YAxis`"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
self._validate = kwargs.pop("_validate", True)
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("anchor", None)
_v = anchor if anchor is not None else _v
if _v is not None:
self["anchor"] = _v
_v = arg.pop("automargin", None)
_v = automargin if automargin is not None else _v
if _v is not None:
self["automargin"] = _v
_v = arg.pop("autorange", None)
_v = autorange if autorange is not None else _v
if _v is not None:
self["autorange"] = _v
_v = arg.pop("autotypenumbers", None)
_v = autotypenumbers if autotypenumbers is not None else _v
if _v is not None:
self["autotypenumbers"] = _v
_v = arg.pop("calendar", None)
_v = calendar if calendar is not None else _v
if _v is not None:
self["calendar"] = _v
_v = arg.pop("categoryarray", None)
_v = categoryarray if categoryarray is not None else _v
if _v is not None:
self["categoryarray"] = _v
_v = arg.pop("categoryarraysrc", None)
_v = categoryarraysrc if categoryarraysrc is not None else _v
if _v is not None:
self["categoryarraysrc"] = _v
_v = arg.pop("categoryorder", None)
_v = categoryorder if categoryorder is not None else _v
if _v is not None:
self["categoryorder"] = _v
_v = arg.pop("color", None)
_v = color if color is not None else _v
if _v is not None:
self["color"] = _v
_v = arg.pop("constrain", None)
_v = constrain if constrain is not None else _v
if _v is not None:
self["constrain"] = _v
_v = arg.pop("constraintoward", None)
_v = constraintoward if constraintoward is not None else _v
if _v is not None:
self["constraintoward"] = _v
_v = arg.pop("dividercolor", None)
_v = dividercolor if dividercolor is not None else _v
if _v is not None:
self["dividercolor"] = _v
_v = arg.pop("dividerwidth", None)
_v = dividerwidth if dividerwidth is not None else _v
if _v is not None:
self["dividerwidth"] = _v
_v = arg.pop("domain", None)
_v = domain if domain is not None else _v
if _v is not None:
self["domain"] = _v
_v = arg.pop("dtick", None)
_v = dtick if dtick is not None else _v
if _v is not None:
self["dtick"] = _v
_v = arg.pop("exponentformat", None)
_v = exponentformat if exponentformat is not None else _v
if _v is not None:
self["exponentformat"] = _v
_v = arg.pop("fixedrange", None)
_v = fixedrange if fixedrange is not None else _v
if _v is not None:
self["fixedrange"] = _v
_v = arg.pop("gridcolor", None)
_v = gridcolor if gridcolor is not None else _v
if _v is not None:
self["gridcolor"] = _v
_v = arg.pop("griddash", None)
_v = griddash if griddash is not None else _v
if _v is not None:
self["griddash"] = _v
_v = arg.pop("gridwidth", None)
_v = gridwidth if gridwidth is not None else _v
if _v is not None:
self["gridwidth"] = _v
_v = arg.pop("hoverformat", None)
_v = hoverformat if hoverformat is not None else _v
if _v is not None:
self["hoverformat"] = _v
_v = arg.pop("layer", None)
_v = layer if layer is not None else _v
if _v is not None:
self["layer"] = _v
_v = arg.pop("linecolor", None)
_v = linecolor if linecolor is not None else _v
if _v is not None:
self["linecolor"] = _v
_v = arg.pop("linewidth", None)
_v = linewidth if linewidth is not None else _v
if _v is not None:
self["linewidth"] = _v
_v = arg.pop("matches", None)
_v = matches if matches is not None else _v
if _v is not None:
self["matches"] = _v
_v = arg.pop("minexponent", None)
_v = minexponent if minexponent is not None else _v
if _v is not None:
self["minexponent"] = _v
_v = arg.pop("minor", None)
_v = minor if minor is not None else _v
if _v is not None:
self["minor"] = _v
_v = arg.pop("mirror", None)
_v = mirror if mirror is not None else _v
if _v is not None:
self["mirror"] = _v
_v = arg.pop("nticks", None)
_v = nticks if nticks is not None else _v
if _v is not None:
self["nticks"] = _v
_v = arg.pop("overlaying", None)
_v = overlaying if overlaying is not None else _v
if _v is not None:
self["overlaying"] = _v
_v = arg.pop("position", None)
_v = position if position is not None else _v
if _v is not None:
self["position"] = _v
_v = arg.pop("range", None)
_v = range if range is not None else _v
if _v is not None:
self["range"] = _v
_v = arg.pop("rangebreaks", None)
_v = rangebreaks if rangebreaks is not None else _v
if _v is not None:
self["rangebreaks"] = _v
_v = arg.pop("rangebreakdefaults", None)
_v = rangebreakdefaults if rangebreakdefaults is not None else _v
if _v is not None:
self["rangebreakdefaults"] = _v
_v = arg.pop("rangemode", None)
_v = rangemode if rangemode is not None else _v
if _v is not None:
self["rangemode"] = _v
_v = arg.pop("scaleanchor", None)
_v = scaleanchor if scaleanchor is not None else _v
if _v is not None:
self["scaleanchor"] = _v
_v = arg.pop("scaleratio", None)
_v = scaleratio if scaleratio is not None else _v
if _v is not None:
self["scaleratio"] = _v
_v = arg.pop("separatethousands", None)
_v = separatethousands if separatethousands is not None else _v
if _v is not None:
self["separatethousands"] = _v
_v = arg.pop("showdividers", None)
_v = showdividers if showdividers is not None else _v
if _v is not None:
self["showdividers"] = _v
_v = arg.pop("showexponent", None)
_v = showexponent if showexponent is not None else _v
if _v is not None:
self["showexponent"] = _v
_v = arg.pop("showgrid", None)
_v = showgrid if showgrid is not None else _v
if _v is not None:
self["showgrid"] = _v
_v = arg.pop("showline", None)
_v = showline if showline is not None else _v
if _v is not None:
self["showline"] = _v
_v = arg.pop("showspikes", None)
_v = showspikes if showspikes is not None else _v
if _v is not None:
self["showspikes"] = _v
_v = arg.pop("showticklabels", None)
_v = showticklabels if showticklabels is not None else _v
if _v is not None:
self["showticklabels"] = _v
_v = arg.pop("showtickprefix", None)
_v = showtickprefix if showtickprefix is not None else _v
if _v is not None:
self["showtickprefix"] = _v
_v = arg.pop("showticksuffix", None)
_v = showticksuffix if showticksuffix is not None else _v
if _v is not None:
self["showticksuffix"] = _v
_v = arg.pop("side", None)
_v = side if side is not None else _v
if _v is not None:
self["side"] = _v
_v = arg.pop("spikecolor", None)
_v = spikecolor if spikecolor is not None else _v
if _v is not None:
self["spikecolor"] = _v
_v = arg.pop("spikedash", None)
_v = spikedash if spikedash is not None else _v
if _v is not None:
self["spikedash"] = _v
_v = arg.pop("spikemode", None)
_v = spikemode if spikemode is not None else _v
if _v is not None:
self["spikemode"] = _v
_v = arg.pop("spikesnap", None)
_v = spikesnap if spikesnap is not None else _v
if _v is not None:
self["spikesnap"] = _v
_v = arg.pop("spikethickness", None)
_v = spikethickness if spikethickness is not None else _v
if _v is not None:
self["spikethickness"] = _v
_v = arg.pop("tick0", None)
_v = tick0 if tick0 is not None else _v
if _v is not None:
self["tick0"] = _v
_v = arg.pop("tickangle", None)
_v = tickangle if tickangle is not None else _v
if _v is not None:
self["tickangle"] = _v
_v = arg.pop("tickcolor", None)
_v = tickcolor if tickcolor is not None else _v
if _v is not None:
self["tickcolor"] = _v
_v = arg.pop("tickfont", None)
_v = tickfont if tickfont is not None else _v
if _v is not None:
self["tickfont"] = _v
_v = arg.pop("tickformat", None)
_v = tickformat if tickformat is not None else _v
if _v is not None:
self["tickformat"] = _v
_v = arg.pop("tickformatstops", None)
_v = tickformatstops if tickformatstops is not None else _v
if _v is not None:
self["tickformatstops"] = _v
_v = arg.pop("tickformatstopdefaults", None)
_v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
if _v is not None:
self["tickformatstopdefaults"] = _v
_v = arg.pop("ticklabelmode", None)
_v = ticklabelmode if ticklabelmode is not None else _v
if _v is not None:
self["ticklabelmode"] = _v
_v = arg.pop("ticklabeloverflow", None)
_v = ticklabeloverflow if ticklabeloverflow is not None else _v
if _v is not None:
self["ticklabeloverflow"] = _v
_v = arg.pop("ticklabelposition", None)
_v = ticklabelposition if ticklabelposition is not None else _v
if _v is not None:
self["ticklabelposition"] = _v
_v = arg.pop("ticklabelstep", None)
_v = ticklabelstep if ticklabelstep is not None else _v
if _v is not None:
self["ticklabelstep"] = _v
_v = arg.pop("ticklen", None)
_v = ticklen if ticklen is not None else _v
if _v is not None:
self["ticklen"] = _v
_v = arg.pop("tickmode", None)
_v = tickmode if tickmode is not None else _v
if _v is not None:
self["tickmode"] = _v
_v = arg.pop("tickprefix", None)
_v = tickprefix if tickprefix is not None else _v
if _v is not None:
self["tickprefix"] = _v
_v = arg.pop("ticks", None)
_v = ticks if ticks is not None else _v
if _v is not None:
self["ticks"] = _v
_v = arg.pop("tickson", None)
_v = tickson if tickson is not None else _v
if _v is not None:
self["tickson"] = _v
_v = arg.pop("ticksuffix", None)
_v = ticksuffix if ticksuffix is not None else _v
if _v is not None:
self["ticksuffix"] = _v
_v = arg.pop("ticktext", None)
_v = ticktext if ticktext is not None else _v
if _v is not None:
self["ticktext"] = _v
_v = arg.pop("ticktextsrc", None)
_v = ticktextsrc if ticktextsrc is not None else _v
if _v is not None:
self["ticktextsrc"] = _v
_v = arg.pop("tickvals", None)
_v = tickvals if tickvals is not None else _v
if _v is not None:
self["tickvals"] = _v
_v = arg.pop("tickvalssrc", None)
_v = tickvalssrc if tickvalssrc is not None else _v
if _v is not None:
self["tickvalssrc"] = _v
_v = arg.pop("tickwidth", None)
_v = tickwidth if tickwidth is not None else _v
if _v is not None:
self["tickwidth"] = _v
_v = arg.pop("title", None)
_v = title if title is not None else _v
if _v is not None:
self["title"] = _v
_v = arg.pop("titlefont", None)
_v = titlefont if titlefont is not None else _v
if _v is not None:
self["titlefont"] = _v
_v = arg.pop("type", None)
_v = type if type is not None else _v
if _v is not None:
self["type"] = _v
_v = arg.pop("uirevision", None)
_v = uirevision if uirevision is not None else _v
if _v is not None:
self["uirevision"] = _v
_v = arg.pop("visible", None)
_v = visible if visible is not None else _v
if _v is not None:
self["visible"] = _v
_v = arg.pop("zeroline", None)
_v = zeroline if zeroline is not None else _v
if _v is not None:
self["zeroline"] = _v
_v = arg.pop("zerolinecolor", None)
_v = zerolinecolor if zerolinecolor is not None else _v
if _v is not None:
self["zerolinecolor"] = _v
_v = arg.pop("zerolinewidth", None)
_v = zerolinewidth if zerolinewidth is not None else _v
if _v is not None:
self["zerolinewidth"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False