altair.LayerChart

class altair.LayerChart(layer=Undefined, autosize=Undefined, background=Undefined, config=Undefined, data=Undefined, datasets=Undefined, description=Undefined, encoding=Undefined, height=Undefined, name=Undefined, padding=Undefined, params=Undefined, projection=Undefined, resolve=Undefined, title=Undefined, transform=Undefined, usermeta=Undefined, view=Undefined, width=Undefined, **kwds)

A Chart with layers within a single panel.

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

Refer to TopLevelLayerSpec TopLevelLayerSpec schema wrapper.

Parameters:

layerSequence[dict, UnitSpec, LayerSpec]

Layer or single view specifications to be layered.

Note: Specifications inside layer cannot use row and column channels as layering facet specifications is not allowed. Instead, use the facet operator and place a layer inside a facet.

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"

configdict, Config

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

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.

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, SharedEncoding

A shared key-value mapping between encoding channels and definition of fields in the underlying layers.

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]

Dynamic variables or selections that parameterize a visualization.

projectiondict, Projection

An object defining properties of the geographic projection shared by underlying layers.

resolvedict, Resolve

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

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.

Methods

__init__([layer, autosize, background, ...])	Refer to TopLevelLayerSpec TopLevelLayerSpec schema wrapper.
add_layers(*layers)
add_params(*params)	Add one or more parameters to the chart.
add_selection(*selections)	'add_selection' is deprecated.
configure([arc, area, aria, autosize, axis, ...])	Refer to Config Config schema wrapper.
configure_arc([align, angle, aria, ...])	Refer to RectConfig RectConfig schema wrapper.
configure_area([align, angle, aria, ...])	Refer to AreaConfig AreaConfig schema wrapper.
configure_axis([aria, bandPosition, ...])	Refer to AxisConfig AxisConfig schema wrapper.
configure_axisBand([aria, bandPosition, ...])	Refer to AxisConfig AxisConfig schema wrapper.
configure_axisBottom([aria, bandPosition, ...])	Refer to AxisConfig AxisConfig schema wrapper.
configure_axisDiscrete([aria, bandPosition, ...])	Refer to AxisConfig AxisConfig schema wrapper.
configure_axisLeft([aria, bandPosition, ...])	Refer to AxisConfig AxisConfig schema wrapper.
configure_axisPoint([aria, bandPosition, ...])	Refer to AxisConfig AxisConfig schema wrapper.
configure_axisQuantitative([aria, ...])	Refer to AxisConfig AxisConfig schema wrapper.
configure_axisRight([aria, bandPosition, ...])	Refer to AxisConfig AxisConfig schema wrapper.
configure_axisTemporal([aria, bandPosition, ...])	Refer to AxisConfig AxisConfig schema wrapper.
configure_axisTop([aria, bandPosition, ...])	Refer to AxisConfig AxisConfig schema wrapper.
configure_axisX([aria, bandPosition, ...])	Refer to AxisConfig AxisConfig schema wrapper.
configure_axisXBand([aria, bandPosition, ...])	Refer to AxisConfig AxisConfig schema wrapper.
configure_axisXDiscrete([aria, ...])	Refer to AxisConfig AxisConfig schema wrapper.
configure_axisXPoint([aria, bandPosition, ...])	Refer to AxisConfig AxisConfig schema wrapper.
configure_axisXQuantitative([aria, ...])	Refer to AxisConfig AxisConfig schema wrapper.
configure_axisXTemporal([aria, ...])	Refer to AxisConfig AxisConfig schema wrapper.
configure_axisY([aria, bandPosition, ...])	Refer to AxisConfig AxisConfig schema wrapper.
configure_axisYBand([aria, bandPosition, ...])	Refer to AxisConfig AxisConfig schema wrapper.
configure_axisYDiscrete([aria, ...])	Refer to AxisConfig AxisConfig schema wrapper.
configure_axisYPoint([aria, bandPosition, ...])	Refer to AxisConfig AxisConfig schema wrapper.
configure_axisYQuantitative([aria, ...])	Refer to AxisConfig AxisConfig schema wrapper.
configure_axisYTemporal([aria, ...])	Refer to AxisConfig AxisConfig schema wrapper.
configure_bar([align, angle, aria, ...])	Refer to BarConfig BarConfig schema wrapper.
configure_boxplot([box, extent, median, ...])	Refer to BoxPlotConfig BoxPlotConfig schema wrapper.
configure_circle([align, angle, aria, ...])	Refer to MarkConfig MarkConfig schema wrapper.
configure_concat([columns, spacing])	Refer to CompositionConfig CompositionConfig schema wrapper.
configure_errorband([band, borders, extent, ...])	Refer to ErrorBandConfig ErrorBandConfig schema wrapper.
configure_errorbar([extent, rule, size, ...])	Refer to ErrorBarConfig ErrorBarConfig schema wrapper.
configure_facet([columns, spacing])	Refer to CompositionConfig CompositionConfig schema wrapper.
configure_geoshape([align, angle, aria, ...])	Refer to MarkConfig MarkConfig schema wrapper.
configure_header([format, formatType, ...])	Refer to HeaderConfig HeaderConfig schema wrapper.
configure_headerColumn([format, formatType, ...])	Refer to HeaderConfig HeaderConfig schema wrapper.
configure_headerFacet([format, formatType, ...])	Refer to HeaderConfig HeaderConfig schema wrapper.
configure_headerRow([format, formatType, ...])	Refer to HeaderConfig HeaderConfig schema wrapper.
configure_image([align, angle, aria, ...])	Refer to RectConfig RectConfig schema wrapper.
configure_legend([aria, clipHeight, ...])	Refer to LegendConfig LegendConfig schema wrapper.
configure_line([align, angle, aria, ...])	Refer to LineConfig LineConfig schema wrapper.
configure_mark([align, angle, aria, ...])	Refer to MarkConfig MarkConfig schema wrapper.
configure_point([align, angle, aria, ...])	Refer to MarkConfig MarkConfig schema wrapper.
configure_projection([center, clipAngle, ...])	Refer to ProjectionConfig ProjectionConfig schema wrapper.
configure_range([category, diverging, ...])	Refer to RangeConfig RangeConfig schema wrapper.
configure_rect([align, angle, aria, ...])	Refer to RectConfig RectConfig schema wrapper.
configure_rule([align, angle, aria, ...])	Refer to MarkConfig MarkConfig schema wrapper.
configure_scale([bandPaddingInner, ...])	Refer to ScaleConfig ScaleConfig schema wrapper.
configure_selection([interval, point])	Refer to SelectionConfig SelectionConfig schema wrapper.
configure_square([align, angle, aria, ...])	Refer to MarkConfig MarkConfig schema wrapper.
configure_text([align, angle, aria, ...])	Refer to MarkConfig MarkConfig schema wrapper.
configure_tick([align, angle, aria, ...])	Refer to TickConfig TickConfig schema wrapper.
configure_title([align, anchor, angle, ...])	Refer to TitleConfig TitleConfig schema wrapper.
configure_tooltipFormat([...])	Refer to FormatConfig FormatConfig schema wrapper.
configure_trail([align, angle, aria, ...])	Refer to LineConfig LineConfig schema wrapper.
configure_view([clip, continuousHeight, ...])	Refer to ViewConfig ViewConfig schema wrapper.
copy([deep, ignore])	Return a copy of the object.
display([renderer, theme, actions])	Display chart in Jupyter notebook or JupyterLab.
encode(*args[, angle, color, column, ...])	Map properties of the data to visual properties of the chart (see FacetedEncoding).
facet([facet, row, column, data, columns])	Create a facet chart from the current chart.
from_dict(dct[, validate])	Construct class from a dictionary representation.
from_json(json_string[, validate])	Instantiate the object from a valid JSON string.
interactive([name, bind_x, bind_y])	Make chart axes scales interactive.
open_editor(*[, fullscreen])	Opens the chart specification in the Vega chart editor using the default browser.
project([type, center, clipAngle, ...])	Add a geographic projection to the chart.
properties(**kwargs)	Set top-level properties of the Chart.
repeat([repeat, row, column, layer, columns])	Return a RepeatChart built from the chart.
resolve_axis([x, y])	Refer to AxisResolveMap AxisResolveMap schema wrapper.
resolve_legend([angle, color, fill, ...])	Refer to LegendResolveMap LegendResolveMap schema wrapper.
resolve_references([schema])	Resolve references in the context of this object's schema or root schema.
resolve_scale([angle, color, fill, ...])	Refer to ScaleResolveMap ScaleResolveMap schema wrapper.
save(fp[, format, ...])	Save a chart to file in a variety of formats.
serve([ip, port, n_retries, files, ...])	'serve' is deprecated.
show()	Display the chart using the active renderer.
to_dict([validate, format, ignore, context])	Convert the chart to a dictionary suitable for JSON export.
to_html([base_url, output_div, ...])	Embed a Vega/Vega-Lite spec into an HTML page.
to_json([validate, indent, sort_keys, ...])	Convert a chart to a JSON string.
to_url(*[, fullscreen])	Convert a chart to a URL that opens the chart specification in the Vega chart editor.
transform_aggregate([aggregate, groupby])	Add an AggregateTransform to the schema.
transform_bin([as_, field, bin])	Add a BinTransform to the schema.
transform_calculate([as_, calculate])	Add a CalculateTransform to the schema.
transform_density(density[, as_, bandwidth, ...])	Add a DensityTransform to the spec.
transform_extent(extent, param)	Add a ExtentTransform to the spec.
transform_filter([predicate, empty])	Add a FilterTransform to the spec.
transform_flatten(flatten[, as_])	Add a FlattenTransform to the schema.
transform_fold(fold[, as_])	Add a FoldTransform to the spec.
transform_impute(impute, key[, frame, ...])	Add an ImputeTransform to the schema.
transform_joinaggregate([joinaggregate, groupby])	Add a JoinAggregateTransform to the schema.
transform_loess(on, loess[, as_, bandwidth, ...])	Add a LoessTransform to the spec.
transform_lookup([lookup, from_, as_, default])	Add a DataLookupTransform or SelectionLookupTransform to the chart.
transform_pivot(pivot, value[, groupby, ...])	Add a PivotTransform to the chart.
transform_quantile(quantile[, as_, groupby, ...])	Add a QuantileTransform to the chart.
transform_regression(on, regression[, as_, ...])	Add a RegressionTransform to the chart.
transform_sample([sample])	Add a SampleTransform to the schema.
transform_stack(as_, stack, groupby[, ...])	Add a StackTransform to the schema.
transform_timeunit([as_, field, timeUnit])	Add a TimeUnitTransform to the schema.
transform_window([window, frame, groupby, ...])	Add a WindowTransform to the schema.
transformed_data([row_limit, exclude])	Evaluate a LayerChart's transforms.
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.

Attributes

data