This website is for version 5. You can find the documentation for version 4 here.


class altair.ConcatChart(concat=Undefined, align=Undefined, autosize=Undefined, background=Undefined, bounds=Undefined, center=Undefined, columns=Undefined, config=Undefined, data=Undefined, datasets=Undefined, description=Undefined, name=Undefined, padding=Undefined, params=Undefined, resolve=Undefined, spacing=Undefined, title=Undefined, transform=Undefined, usermeta=Undefined, **kwds)#

A chart with horizontally-concatenated facets

__init__(concat=Undefined, align=Undefined, autosize=Undefined, background=Undefined, bounds=Undefined, center=Undefined, columns=Undefined, config=Undefined, data=Undefined, datasets=Undefined, description=Undefined, name=Undefined, padding=Undefined, params=Undefined, resolve=Undefined, spacing=Undefined, title=Undefined, transform=Undefined, usermeta=Undefined, **kwds)#

Refer to TopLevelConcatSpec

concatSequence[dict, FacetSpec, LayerSpec, RepeatSpec, FacetedUnitSpec, LayerRepeatSpec, NonNormalizedSpec, NonLayerRepeatSpec, ConcatSpecGenericSpec, HConcatSpecGenericSpec, VConcatSpecGenericSpec]

A list of views to be concatenated.

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


The number of columns to include in the view composition layout.

Default value : undefined – An infinite number of columns (a single row) will be assumed. This is equivalent to hconcat (for concat ) and to using the column channel (for facet and repeat ).

Note :

  1. This property is only for:

  • the general (wrappable) concat operator (not hconcat / vconcat )

  • the facet and repeat operator with one field/repetition definition (without row/column nesting)

2) Setting the columns to 1 is equivalent to vconcat (for concat ) and to using the row channel (for facet and repeat ).

configdict, Config

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

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

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.


Description of this mark for commenting purpose.


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.

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.


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__([concat, align, autosize, ...])

Refer to TopLevelConcatSpec


Add one or more parameters to the chart.


'add_selection' is deprecated.

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

Refer to Config

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

Refer to RectConfig

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

Refer to AreaConfig

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

Refer to AxisConfig

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

Refer to AxisConfig

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

Refer to AxisConfig

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

Refer to AxisConfig

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

Refer to AxisConfig

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

Refer to AxisConfig

configure_axisQuantitative([aria, ...])

Refer to AxisConfig

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

Refer to AxisConfig

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

Refer to AxisConfig

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

Refer to AxisConfig

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

Refer to AxisConfig

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

Refer to AxisConfig

configure_axisXDiscrete([aria, ...])

Refer to AxisConfig

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

Refer to AxisConfig

configure_axisXQuantitative([aria, ...])

Refer to AxisConfig

configure_axisXTemporal([aria, ...])

Refer to AxisConfig

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

Refer to AxisConfig

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

Refer to AxisConfig

configure_axisYDiscrete([aria, ...])

Refer to AxisConfig

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

Refer to AxisConfig

configure_axisYQuantitative([aria, ...])

Refer to AxisConfig

configure_axisYTemporal([aria, ...])

Refer to AxisConfig

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

Refer to BarConfig

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

Refer to BoxPlotConfig

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

Refer to MarkConfig

configure_concat([columns, spacing])

Refer to CompositionConfig

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

Refer to ErrorBandConfig

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

Refer to ErrorBarConfig

configure_facet([columns, spacing])

Refer to CompositionConfig

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

Refer to MarkConfig

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

Refer to HeaderConfig

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

Refer to HeaderConfig

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

Refer to HeaderConfig

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

Refer to HeaderConfig

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

Refer to RectConfig

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

Refer to LegendConfig

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

Refer to LineConfig

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

Refer to MarkConfig

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

Refer to MarkConfig

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

Refer to ProjectionConfig

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

Refer to RangeConfig

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

Refer to RectConfig

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

Refer to MarkConfig

configure_scale([bandPaddingInner, ...])

Refer to ScaleConfig

configure_selection([interval, point])

Refer to SelectionConfig

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

Refer to MarkConfig

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

Refer to MarkConfig

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

Refer to TickConfig

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

Refer to TitleConfig


Refer to FormatConfig

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

Refer to LineConfig

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

Refer to ViewConfig

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

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.


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

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

Refer to LegendResolveMap


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

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

Refer to ScaleResolveMap

save(fp[, format, ...])

Save a chart to file in a variety of formats

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

'serve' is deprecated.


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 The chart specification (including any inline data) is encoded in the URL.

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(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 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.


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 ConcatChart'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