altair.ViewConfig

class altair.ViewConfig(clip=Undefined, continuousHeight=Undefined, continuousWidth=Undefined, cornerRadius=Undefined, cursor=Undefined, discreteHeight=Undefined, discreteWidth=Undefined, fill=Undefined, fillOpacity=Undefined, opacity=Undefined, step=Undefined, stroke=Undefined, strokeCap=Undefined, strokeDash=Undefined, strokeDashOffset=Undefined, strokeJoin=Undefined, strokeMiterLimit=Undefined, strokeOpacity=Undefined, strokeWidth=Undefined, **kwds)

ViewConfig schema wrapper

Mapping(required=[])

Parameters:

clipboolean

Whether the view should be clipped.

continuousHeightfloat

The default height when the plot has a continuous y-field for x or latitude, or has arc marks.

Default value: 200

continuousWidthfloat

The default width when the plot has a continuous field for x or longitude, or has arc marks.

Default value: 200

cornerRadiusanyOf(float, ExprRef)

The radius in pixels of rounded rectangles or arcs’ corners.

Default value: 0

cursorCursor

The mouse cursor used over the view. Any valid CSS cursor type can be used.

discreteHeightanyOf(float, Mapping(required=[step]))

The default height when the plot has non arc marks and either a discrete y-field or no y-field. The height can be either a number indicating a fixed height or an object in the form of {step: number} defining the height per discrete step.

Default value: a step size based on config.view.step.

discreteWidthanyOf(float, Mapping(required=[step]))

The default width when the plot has non-arc marks and either a discrete x-field or no x-field. The width can be either a number indicating a fixed width or an object in the form of {step: number} defining the width per discrete step.

Default value: a step size based on config.view.step.

fillanyOf(Color, None, ExprRef)

The fill color.

Default value: undefined

fillOpacityanyOf(float, ExprRef)

The fill opacity (value between [0,1]).

Default value: 1

opacityanyOf(float, ExprRef)

The overall opacity (value between [0,1]).

Default value: 0.7 for non-aggregate plots with point, tick, circle, or square marks or layered bar charts and 1 otherwise.

stepfloat

Default step size for x-/y- discrete fields.

strokeanyOf(Color, None, ExprRef)

The stroke color.

Default value: "#ddd"

strokeCapanyOf(StrokeCap, ExprRef)

The stroke cap for line ending style. One of "butt", "round", or "square".

Default value: "butt"

strokeDashanyOf(List(float), ExprRef)

An array of alternating stroke, space lengths for creating dashed or dotted lines.

strokeDashOffsetanyOf(float, ExprRef)

The offset (in pixels) into which to begin drawing with the stroke dash array.

strokeJoinanyOf(StrokeJoin, ExprRef)

The stroke line join method. One of "miter", "round" or "bevel".

Default value: "miter"

strokeMiterLimitanyOf(float, ExprRef)

The miter limit at which to bevel a line join.

strokeOpacityanyOf(float, ExprRef)

The stroke opacity (value between [0,1]).

Default value: 1

strokeWidthanyOf(float, ExprRef)

The stroke width, in pixels.

__init__(clip=Undefined, continuousHeight=Undefined, continuousWidth=Undefined, cornerRadius=Undefined, cursor=Undefined, discreteHeight=Undefined, discreteWidth=Undefined, fill=Undefined, fillOpacity=Undefined, opacity=Undefined, step=Undefined, stroke=Undefined, strokeCap=Undefined, strokeDash=Undefined, strokeDashOffset=Undefined, strokeJoin=Undefined, strokeMiterLimit=Undefined, strokeOpacity=Undefined, strokeWidth=Undefined, **kwds)

Methods

__init__([clip, continuousHeight, ...])
copy([deep, ignore])	Return a copy of the object
from_dict(dct[, validate, _wrapper_classes])	Construct class from a dictionary representation
from_json(json_string[, validate])	Instantiate the object from a valid JSON string
resolve_references([schema])	Resolve references in the context of this object's schema or root schema.
to_dict([validate, ignore, context])	Return a dictionary representation of the object
to_json([validate, ignore, context, indent, ...])	Emit the JSON representation for this object as a string.
validate(instance[, schema])	Validate the instance against the class schema in the context of the rootschema.
validate_property(name, value[, schema])	Validate a property against property schema in the context of the rootschema