altair.TopLevelUnitSpec

class altair.TopLevelUnitSpec(data=Undefined, mark=Undefined, align=Undefined, autosize=Undefined, background=Undefined, bounds=Undefined, center=Undefined, config=Undefined, datasets=Undefined, description=Undefined, encoding=Undefined, height=Undefined, name=Undefined, padding=Undefined, params=Undefined, projection=Undefined, resolve=Undefined, spacing=Undefined, title=Undefined, transform=Undefined, usermeta=Undefined, view=Undefined, width=Undefined, **kwds)

TopLevelUnitSpec schema wrapper.

Parameters:

datadict, Data, UrlData, Generator, NamedData, DataSource, InlineData, SphereGenerator, SequenceGenerator, GraticuleGenerator, None

An object describing the data source. Set to null to ignore the parent’s data source. If no data is set, it is derived from the parent.

markdict, Mark, AnyMark, BoxPlot, MarkDef, ErrorBar, ErrorBand, BoxPlotDef, ErrorBarDef, ErrorBandDef, CompositeMark, CompositeMarkDef, Literal[‘arc’, ‘area’, ‘bar’, ‘image’, ‘line’, ‘point’, ‘rect’, ‘rule’, ‘text’, ‘tick’, ‘trail’, ‘circle’, ‘square’, ‘geoshape’, ‘boxplot’, ‘errorband’, ‘errorbar’]

A string describing the mark type (one of "bar", "circle", "square", "tick", "line", "area", "point", "rule", "geoshape", and "text") or a mark definition object.

aligndict, LayoutAlign, RowColLayoutAlign, Literal[‘all’, ‘each’, ‘none’]

The alignment to apply to grid rows and columns. The supported string values are "all", "each", and "none".

• For "none", a flow layout will be used, in which adjacent subviews are simply placed one after the other.

• For "each", subviews will be aligned into a clean grid structure, but each row or column may be of variable size.

• For "all", subviews will be aligned and each row or column will be sized identically based on the maximum observed size. String values for this property will be applied to both grid rows and columns.

Alternatively, an object value of the form {"row": string, "column": string} can be used to supply different alignments for rows and columns.

Default value: "all".

autosizedict, AutosizeType, AutoSizeParams, Literal[‘pad’, ‘none’, ‘fit’, ‘fit-x’, ‘fit-y’]

How the visualization size should be determined. If a string, should be one of "pad", "fit" or "none". Object values can additionally specify parameters for content sizing and automatic resizing.

Default value: pad

backgroundstr, dict, Color, ExprRef, HexColor, ColorName, Literal[‘black’, ‘silver’, ‘gray’, ‘white’, ‘maroon’, ‘red’, ‘purple’, ‘fuchsia’, ‘green’, ‘lime’, ‘olive’, ‘yellow’, ‘navy’, ‘blue’, ‘teal’, ‘aqua’, ‘orange’, ‘aliceblue’, ‘antiquewhite’, ‘aquamarine’, ‘azure’, ‘beige’, ‘bisque’, ‘blanchedalmond’, ‘blueviolet’, ‘brown’, ‘burlywood’, ‘cadetblue’, ‘chartreuse’, ‘chocolate’, ‘coral’, ‘cornflowerblue’, ‘cornsilk’, ‘crimson’, ‘cyan’, ‘darkblue’, ‘darkcyan’, ‘darkgoldenrod’, ‘darkgray’, ‘darkgreen’, ‘darkgrey’, ‘darkkhaki’, ‘darkmagenta’, ‘darkolivegreen’, ‘darkorange’, ‘darkorchid’, ‘darkred’, ‘darksalmon’, ‘darkseagreen’, ‘darkslateblue’, ‘darkslategray’, ‘darkslategrey’, ‘darkturquoise’, ‘darkviolet’, ‘deeppink’, ‘deepskyblue’, ‘dimgray’, ‘dimgrey’, ‘dodgerblue’, ‘firebrick’, ‘floralwhite’, ‘forestgreen’, ‘gainsboro’, ‘ghostwhite’, ‘gold’, ‘goldenrod’, ‘greenyellow’, ‘grey’, ‘honeydew’, ‘hotpink’, ‘indianred’, ‘indigo’, ‘ivory’, ‘khaki’, ‘lavender’, ‘lavenderblush’, ‘lawngreen’, ‘lemonchiffon’, ‘lightblue’, ‘lightcoral’, ‘lightcyan’, ‘lightgoldenrodyellow’, ‘lightgray’, ‘lightgreen’, ‘lightgrey’, ‘lightpink’, ‘lightsalmon’, ‘lightseagreen’, ‘lightskyblue’, ‘lightslategray’, ‘lightslategrey’, ‘lightsteelblue’, ‘lightyellow’, ‘limegreen’, ‘linen’, ‘magenta’, ‘mediumaquamarine’, ‘mediumblue’, ‘mediumorchid’, ‘mediumpurple’, ‘mediumseagreen’, ‘mediumslateblue’, ‘mediumspringgreen’, ‘mediumturquoise’, ‘mediumvioletred’, ‘midnightblue’, ‘mintcream’, ‘mistyrose’, ‘moccasin’, ‘navajowhite’, ‘oldlace’, ‘olivedrab’, ‘orangered’, ‘orchid’, ‘palegoldenrod’, ‘palegreen’, ‘paleturquoise’, ‘palevioletred’, ‘papayawhip’, ‘peachpuff’, ‘peru’, ‘pink’, ‘plum’, ‘powderblue’, ‘rosybrown’, ‘royalblue’, ‘saddlebrown’, ‘salmon’, ‘sandybrown’, ‘seagreen’, ‘seashell’, ‘sienna’, ‘skyblue’, ‘slateblue’, ‘slategray’, ‘slategrey’, ‘snow’, ‘springgreen’, ‘steelblue’, ‘tan’, ‘thistle’, ‘tomato’, ‘turquoise’, ‘violet’, ‘wheat’, ‘whitesmoke’, ‘yellowgreen’, ‘rebeccapurple’]

CSS color property to use as the background of the entire view.

Default value: "white"

boundsLiteral[‘full’, ‘flush’]

The bounds calculation method to use for determining the extent of a sub-plot. One of full (the default) or flush.

• If set to full, the entire calculated bounds (including axes, title, and legend) will be used.

• If set to flush, only the specified width and height values for the sub-view will be used. The flush setting can be useful when attempting to place sub-plots without axes or legends into a uniform grid structure.

Default value: "full"

centerbool, dict, RowColboolean

Boolean flag indicating if subviews should be centered relative to their respective rows or columns.

An object value of the form {"row": boolean, "column": boolean} can be used to supply different centering values for rows and columns.

Default value: false

configdict, Config

Vega-Lite configuration object. This property can only be defined at the top-level of a specification.

datasetsdict, Datasets

A global data store for named datasets. This is a mapping from names to inline datasets. This can be an array of objects or primitive values or a string. Arrays of primitive values are ingested as objects with a data property.

descriptionstr

Description of this mark for commenting purpose.

encodingdict, FacetedEncoding

A key-value mapping between encoding channels and definition of fields.

heightdict, float, Step, Literal[‘container’]

The height of a visualization.

• For a plot with a continuous y-field, height should be a number.

• For a plot with either a discrete y-field or no y-field, 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. (No y-field is equivalent to having one discrete step.)

• To enable responsive sizing on height, it should be set to "container".

Default value: Based on config.view.continuousHeight for a plot with a continuous y-field and config.view.discreteHeight otherwise.

Note: For plots with row and column channels, this represents the height of a single view and the "container" option cannot be used.

See also: height documentation.

namestr

Name of the visualization for later reference.

paddingdict, float, ExprRef, Padding

The default visualization padding, in pixels, from the edge of the visualization canvas to the data rectangle. If a number, specifies padding for all sides. If an object, the value should have the format {"left": 5, "top": 5, "right": 5, "bottom": 5} to specify padding for each side of the visualization.

Default value: 5

paramsSequence[dict, TopLevelParameter, VariableParameter, TopLevelSelectionParameter]

An array of parameters that may either be simple variables, or more complex selections that map user input to data queries.

projectiondict, Projection

An object defining properties of geographic projection, which will be applied to shape path for "geoshape" marks and to latitude and "longitude" channels for other marks.

resolvedict, Resolve

Scale, axis, and legend resolutions for view composition specifications.

spacingdict, float, RowColnumber

The spacing in pixels between sub-views of the composition operator. An object of the form {"row": number, "column": number} can be used to set different spacing values for rows and columns.

Default value: Depends on "spacing" property of the view composition configuration (20 by default)

titlestr, dict, Text, Sequence[str], TitleParams

Title for the plot.

transformSequence[dict, Transform, BinTransform, FoldTransform, LoessTransform, PivotTransform, StackTransform, ExtentTransform, FilterTransform, ImputeTransform, LookupTransform, SampleTransform, WindowTransform, DensityTransform, FlattenTransform, QuantileTransform, TimeUnitTransform, AggregateTransform, CalculateTransform, RegressionTransform, JoinAggregateTransform]

An array of data transformations such as filter and new field calculation.

usermetadict, Dict

Optional metadata that will be passed to Vega. This object is completely ignored by Vega and Vega-Lite and can be used for custom metadata.

viewdict, ViewBackground

An object defining the view background’s fill and stroke.

Default value: none (transparent)

widthdict, float, Step, Literal[‘container’]

The width of a visualization.

• For a plot with a continuous x-field, width should be a number.

• For a plot with either a discrete x-field or no x-field, 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. (No x-field is equivalent to having one discrete step.)

• To enable responsive sizing on width, it should be set to "container".

Default value: Based on config.view.continuousWidth for a plot with a continuous x-field and config.view.discreteWidth otherwise.

Note: For plots with row and column channels, this represents the width of a single view and the "container" option cannot be used.

See also: width documentation.

$schemastr

URL to JSON schema for a Vega-Lite specification. Unless you have a reason to change this, use https://vega.github.io/schema/vega-lite/v5.json. Setting the $schema property allows automatic validation and autocomplete in editors that support JSON schema.

__init__(data=Undefined, mark=Undefined, align=Undefined, autosize=Undefined, background=Undefined, bounds=Undefined, center=Undefined, config=Undefined, datasets=Undefined, description=Undefined, encoding=Undefined, height=Undefined, name=Undefined, padding=Undefined, params=Undefined, projection=Undefined, resolve=Undefined, spacing=Undefined, title=Undefined, transform=Undefined, usermeta=Undefined, view=Undefined, width=Undefined, **kwds)

Methods

__init__([data, mark, align, autosize, ...])
copy([deep, ignore])	Return a copy of the object.
from_dict(dct[, validate])	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, indent, sort_keys, ...])	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.