class altair.HConcatChart(data=Undefined, hconcat=(), **kwargs)

A chart with horizontally-concatenated facets Mapping(required=[hconcat])


A list of views to be concatenated and put into a row.

autosizeanyOf(AutosizeType, AutoSizeParams)

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

backgroundanyOf(Color, ExprRef)

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

Default value: "white"

boundsenum(‘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"


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

Default value: false


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

dataanyOf(Data, 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.


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.


Description of this mark for commenting purpose.


Name of the visualization for later reference.

paddinganyOf(Padding, ExprRef)

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


Dynamic variables that parameterize a visualization.


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


The spacing in pixels between sub-views of the concat operator.

Default value : 10

titleanyOf(Text, TitleParams)

Title for the plot.


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


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.


URL to JSON schema for a Vega-Lite specification. Unless you have a reason to change this, use Setting the $schema property allows automatic validation and autocomplete in editors that support JSON schema.

__init__(data=Undefined, hconcat=(), **kwargs)


__init__([data, hconcat])


Add one or more selections to all subcharts.

configure([arc, area, aria, autosize, axis, ...])

Config schema wrapper

configure_arc([align, angle, aria, ...])

RectConfig schema wrapper

configure_area([align, angle, aria, ...])

AreaConfig schema wrapper

configure_axis([aria, bandPosition, ...])

AxisConfig schema wrapper

configure_axisBand([aria, bandPosition, ...])

AxisConfig schema wrapper

configure_axisBottom([aria, bandPosition, ...])

AxisConfig schema wrapper

configure_axisDiscrete([aria, bandPosition, ...])

AxisConfig schema wrapper

configure_axisLeft([aria, bandPosition, ...])

AxisConfig schema wrapper

configure_axisPoint([aria, bandPosition, ...])

AxisConfig schema wrapper

configure_axisQuantitative([aria, ...])

AxisConfig schema wrapper

configure_axisRight([aria, bandPosition, ...])

AxisConfig schema wrapper

configure_axisTemporal([aria, bandPosition, ...])

AxisConfig schema wrapper

configure_axisTop([aria, bandPosition, ...])

AxisConfig schema wrapper

configure_axisX([aria, bandPosition, ...])

AxisConfig schema wrapper

configure_axisXBand([aria, bandPosition, ...])

AxisConfig schema wrapper

configure_axisXDiscrete([aria, ...])

AxisConfig schema wrapper

configure_axisXPoint([aria, bandPosition, ...])

AxisConfig schema wrapper

configure_axisXQuantitative([aria, ...])

AxisConfig schema wrapper

configure_axisXTemporal([aria, ...])

AxisConfig schema wrapper

configure_axisY([aria, bandPosition, ...])

AxisConfig schema wrapper

configure_axisYBand([aria, bandPosition, ...])

AxisConfig schema wrapper

configure_axisYDiscrete([aria, ...])

AxisConfig schema wrapper

configure_axisYPoint([aria, bandPosition, ...])

AxisConfig schema wrapper

configure_axisYQuantitative([aria, ...])

AxisConfig schema wrapper

configure_axisYTemporal([aria, ...])

AxisConfig schema wrapper

configure_bar([align, angle, aria, ...])

BarConfig schema wrapper

configure_boxplot([box, extent, median, ...])

BoxPlotConfig schema wrapper

configure_circle([align, angle, aria, ...])

MarkConfig schema wrapper

configure_concat([columns, spacing])

CompositionConfig schema wrapper

configure_errorband([band, borders, extent, ...])

ErrorBandConfig schema wrapper

configure_errorbar([extent, rule, size, ...])

ErrorBarConfig schema wrapper

configure_facet([columns, spacing])

CompositionConfig schema wrapper

configure_geoshape([align, angle, aria, ...])

MarkConfig schema wrapper

configure_header([format, formatType, ...])

HeaderConfig schema wrapper

configure_headerColumn([format, formatType, ...])

HeaderConfig schema wrapper

configure_headerFacet([format, formatType, ...])

HeaderConfig schema wrapper

configure_headerRow([format, formatType, ...])

HeaderConfig schema wrapper

configure_image([align, angle, aria, ...])

RectConfig schema wrapper

configure_legend([aria, clipHeight, ...])

LegendConfig schema wrapper

configure_line([align, angle, aria, ...])

LineConfig schema wrapper

configure_mark([align, angle, aria, ...])

MarkConfig schema wrapper

configure_point([align, angle, aria, ...])

MarkConfig schema wrapper

configure_projection([center, clipAngle, ...])

ProjectionConfig schema wrapper

configure_range([category, diverging, ...])

RangeConfig schema wrapper

configure_rect([align, angle, aria, ...])

RectConfig schema wrapper

configure_rule([align, angle, aria, ...])

MarkConfig schema wrapper

configure_scale([bandPaddingInner, ...])

ScaleConfig schema wrapper

configure_selection([interval, multi, single])

SelectionConfig schema wrapper

configure_square([align, angle, aria, ...])

MarkConfig schema wrapper

configure_text([align, angle, aria, ...])

MarkConfig schema wrapper

configure_tick([align, angle, aria, ...])

TickConfig schema wrapper

configure_title([align, anchor, angle, ...])

TitleConfig schema wrapper

configure_trail([align, angle, aria, ...])

LineConfig schema wrapper

configure_view([clip, continuousHeight, ...])

ViewConfig schema wrapper

copy([deep, ignore])

Return a copy of the object

display([renderer, theme, actions])

Display chart in Jupyter notebook or JupyterLab

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

project([type, center, clipAngle, ...])

Add a geographic projection to the chart.


Set top-level properties of the Chart.

repeat([repeat, row, column, layer, columns])

Return a RepeatChart built from the chart

resolve_axis([x, y])

AxisResolveMap schema wrapper

resolve_legend([angle, color, fill, ...])

LegendResolveMap schema wrapper


Resolve references in the context of this object's schema or root schema.

resolve_scale([angle, color, fill, ...])

ScaleResolveMap schema wrapper

save(fp[, format, ...])

Save a chart to file in a variety of formats

serve([ip, port, n_retries, files, ...])

Open a browser window and display a rendering of the chart

show([embed_opt, open_browser])

Show the chart in an external browser window.

to_dict(*args, **kwargs)

Convert the chart to a dictionary suitable for JSON export

to_html([base_url, output_div, ...])

to_json([validate, ignore, context, indent, ...])

Emit the JSON representation for this object as a string.

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_filter(filter, **kwargs)

Add a FilterTransform to the schema.

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 pivot transform to the chart.

transform_quantile(quantile[, as_, groupby, ...])

Add a quantile transform to the chart

transform_regression(on, regression[, as_, ...])

Add a RegressionTransform to the chart.


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

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