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_layout.py
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import _plotly_utils.basevalidators
class LayoutValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name='layout', parent_name='', **kwargs):
super(LayoutValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str='Layout',
data_docs="""
angularaxis
plotly.graph_objs.layout.AngularAxis instance
or dict with compatible properties
annotations
plotly.graph_objs.layout.Annotation instance or
dict with compatible properties
autosize
Determines whether or not a layout width or
height that has been left undefined by the user
is initialized on each relayout. Note that,
regardless of this attribute, an undefined
layout width or height is always initialized on
the first call to plot.
bargap
Sets the gap (in plot fraction) between bars of
adjacent location coordinates.
bargroupgap
Sets the gap (in plot fraction) between bars of
the same location coordinate.
barmode
Determines how bars at the same location
coordinate are displayed on the graph. With
*stack*, the bars are stacked on top of one
another With *relative*, the bars are stacked
on top of one another, with negative values
below the axis, positive values above With
*group*, the bars are plotted next to one
another centered around the shared location.
With *overlay*, the bars are plotted over one
another, you might need to an *opacity* to see
multiple bars.
barnorm
Sets the normalization for bar traces on the
graph. With *fraction*, the value of each bar
is divide by the sum of the values at the
location coordinate. With *percent*, the
results form *fraction* are presented in
percents.
boxgap
Sets the gap (in plot fraction) between boxes
of adjacent location coordinates.
boxgroupgap
Sets the gap (in plot fraction) between boxes
of the same location coordinate.
boxmode
Determines how boxes at the same location
coordinate are displayed on the graph. If
*group*, the boxes are plotted next to one
another centered around the shared location. If
*overlay*, the boxes are plotted over one
another, you might need to set *opacity* to see
them multiple boxes.
calendar
Sets the default calendar system to use for
interpreting and displaying dates throughout
the plot.
colorway
Sets the default trace colors.
datarevision
If provided, a changed value tells
`Plotly.react` that one or more data arrays has
changed. This way you can modify arrays in-
place rather than making a complete new copy
for an incremental change. If NOT provided,
`Plotly.react` assumes that data arrays are
being treated as immutable, thus any data array
with a different identity from its predecessor
contains new data.
direction
For polar plots only. Sets the direction
corresponding to positive angles.
dragmode
Determines the mode of drag interactions.
*select* and *lasso* apply only to scatter
traces with markers or text. *orbit* and
*turntable* apply only to 3D scenes.
font
Sets the global font. Note that fonts used in
traces and other layout components inherit from
the global font.
geo
plotly.graph_objs.layout.Geo instance or dict
with compatible properties
grid
plotly.graph_objs.layout.Grid instance or dict
with compatible properties
height
Sets the plot's height (in px).
hiddenlabels
hiddenlabelssrc
Sets the source reference on plot.ly for
hiddenlabels .
hidesources
Determines whether or not a text link citing
the data source is placed at the bottom-right
cored of the figure. Has only an effect only on
graphs that have been generated via forked
graphs from the plotly service (at
https://plot.ly or on-premise).
hoverdistance
Sets the default distance (in pixels) to look
for data to add hover labels (-1 means no
cutoff, 0 means no looking for data). This is
only a real distance for hovering on point-like
objects, like scatter points. For area-like
objects (bars, scatter fills, etc) hovering is
on inside the area and off outside, but these
objects will not supersede hover on point-like
objects in case of conflict.
hoverlabel
plotly.graph_objs.layout.Hoverlabel instance or
dict with compatible properties
hovermode
Determines the mode of hover interactions.
images
plotly.graph_objs.layout.Image instance or dict
with compatible properties
legend
plotly.graph_objs.layout.Legend instance or
dict with compatible properties
mapbox
plotly.graph_objs.layout.Mapbox instance or
dict with compatible properties
margin
plotly.graph_objs.layout.Margin instance or
dict with compatible properties
orientation
For polar plots only. Rotates the entire polar
by the given angle.
paper_bgcolor
Sets the color of paper where the graph is
drawn.
plot_bgcolor
Sets the color of plotting area in-between x
and y axes.
polar
plotly.graph_objs.layout.Polar instance or dict
with compatible properties
radialaxis
plotly.graph_objs.layout.RadialAxis instance or
dict with compatible properties
scene
plotly.graph_objs.layout.Scene instance or dict
with compatible properties
selectdirection
When "dragmode" is set to "select", this limits
the selection of the drag to horizontal,
vertical or diagonal. "h" only allows
horizontal selection, "v" only vertical, "d"
only diagonal and "any" sets no limit.
separators
Sets the decimal and thousand separators. For
example, *. * puts a '.' before decimals and a
space between thousands. In English locales,
dflt is *.,* but other locales may alter this
default.
shapes
plotly.graph_objs.layout.Shape instance or dict
with compatible properties
showlegend
Determines whether or not a legend is drawn.
sliders
plotly.graph_objs.layout.Slider instance or
dict with compatible properties
spikedistance
Sets the default distance (in pixels) to look
for data to draw spikelines to (-1 means no
cutoff, 0 means no looking for data). As with
hoverdistance, distance does not apply to area-
like objects. In addition, some objects can be
hovered on but will not generate spikelines,
such as scatter fills.
template
Default attributes to be applied to the plot.
Templates can be created from existing plots
using `Plotly.makeTemplate`, or created
manually. They should be objects with format:
`{layout: layoutTemplate, data: {[type]:
[traceTemplate, ...]}, ...}` `layoutTemplate`
and `traceTemplate` are objects matching the
attribute structure of `layout` and a data
trace. Trace templates are applied cyclically
to traces of each type. Container arrays (eg
`annotations`) have special handling: An object
ending in `defaults` (eg `annotationdefaults`)
is applied to each array item. But if an item
has a `templateitemname` key we look in the
template array for an item with matching `name`
and apply that instead. If no matching `name`
is found we mark the item invisible. Any named
template item not referenced is appended to the
end of the array, so you can use this for a
watermark annotation or a logo image, for
example. To omit one of these items on the
plot, make an item with matching
`templateitemname` and `visible: false`.
ternary
plotly.graph_objs.layout.Ternary instance or
dict with compatible properties
title
Sets the plot's title.
titlefont
Sets the title font.
updatemenus
plotly.graph_objs.layout.Updatemenu instance or
dict with compatible properties
violingap
Sets the gap (in plot fraction) between violins
of adjacent location coordinates.
violingroupgap
Sets the gap (in plot fraction) between violins
of the same location coordinate.
violinmode
Determines how violins at the same location
coordinate are displayed on the graph. If
*group*, the violins are plotted next to one
another centered around the shared location. If
*overlay*, the violins are plotted over one
another, you might need to set *opacity* to see
them multiple violins.
width
Sets the plot's width (in px).
xaxis
plotly.graph_objs.layout.XAxis instance or dict
with compatible properties
yaxis
plotly.graph_objs.layout.YAxis instance or dict
with compatible properties""",
**kwargs
)