altair.ConcatChart

class altair.ConcatChart(data=Undefined, concat=(), columns=Undefined, **kwargs)

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

Attributes

concatList(NonNormalizedSpec)

A list of views to be concatenated.

alignanyOf(LayoutAlign, RowColLayoutAlign)

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".

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"

centeranyOf(boolean, 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

columnsfloat

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 ).

configConfig

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.

datasetsDatasets

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.

descriptionstring

Description of this mark for commenting purpose.

namestring

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

paramsList(anyOf(VariableParameter, TopLevelSelectionParameter))

Dynamic variables or selections that parameterize a visualization.

resolveResolve

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

spacinganyOf(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)

titleanyOf(Text, TitleParams)

Title for the plot.

transformList(Transform)

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

usermetaDict

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.

$schemastring

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, concat=(), columns=Undefined, **kwargs)

Methods

__init__([data, concat, columns])
add_parameter(*params)	Add one or more parameters to the chart.
add_selection(*selections)
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, point])	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.
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])	AxisResolveMap schema wrapper
resolve_legend([angle, color, fill, ...])	LegendResolveMap schema wrapper
resolve_references([schema])	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.
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
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

previous

altair.Chart

next

altair.FacetChart