Chart Config
This article describes the options for configuring a chart.
Structure
{
colors: ['rgb(195, 49, 73)', 'rgb(168, 194, 86)'], // array of strings
xaxis: {
visible: true, // boolean
labelsEnabled: true, // boolean
rotation: 'auto', // 'auto' or numeral string
min: '10', // numeral string
max: '20' // numeral string
},
yaxis: {
visible: true, // boolean
labelsEnabled: true, // boolean
rotation: 'auto', // string
min: '30', // numeral string
max: '40' // numeral string
},
secondary_yaxis: {
visible: true, // boolean
labelsEnabled: true, // boolean
rotation: 'auto', // string
min: '300', // numeral string
max: '400', // numeral string
measures: ['metricLocalIdentifier']
},
legend: {
enabled: true, // boolean
position: 'bottom', // 'top' | 'left' | 'right' | 'bottom'
},
dataLabels: {
visible: 'auto' // 'auto' | true | false
},
grid: {
enabled: true // boolean
},
separators: {
thousand: ',',
decimal: '.'
}
}
Configure colors
To configure colors, use the following options:
- Color array (the
colors
property) - Custom color palette (the
colorPalette
property) - Color mapping (the
colorMapping
property)
If you have more than one option configured for a visualization, the following rules apply:
- The
colors
property overrides a custom color palette uploaded through the API. - The
colorPalette
property overrides thecolors
property and the custom color palette uploaded through the API. - The
colorMapping
property overrides thecolorPalette
property, thecolors
property, and the custom color palette uploaded through the API.
Color array
The following are examples of a color array:
['rgb(195, 49, 73)', 'rgb(168, 194, 86)']
['#fa0510', '#AA2030']
If there are fewer colors than data points, then the colors are repeated. For example, here is how colors will be used for two colors and three data points:
['rgb(195, 49, 73)', 'rgb(168, 194, 86)', 'rgb(195, 49, 73)']
To change colors in a chart, provide a config
for each component where you want to change colors, or create a wrapped components with a config
baked in.
NOTE: Heatmaps use only the first color from the provided colors as the base color, and generate the other colors themselves.
import { Visualization } from '@gooddata/react-components';
// Example of embedding a visualization with custom colors and palette options
<Visualization
projectId=<workspace-id>
identifier=<visualization-id>
config={{
colors: ['rgb(195, 49, 73)', 'rgb(168, 194, 86)']
}}
/>
Within one visualization:
- The
colors
property overrides a custom color palette uploaded through the API. - The
colors
property can be overriden by thecolorPalette
property or thecolorMapping
property.
Custom color palette
If you uploaded a custom color palette to your workspace, the visualizations created based on the Visualization component use this palette instead of the default colors.
To override the uploaded custom color palette for a specific visualization, define the colorPalette
property for this visualization.
import { Visualization } from '@gooddata/react-components';
// Example of embedding a visualization with a custom palette
<Visualization
projectId=<workspace-id>
identifier=<visualization-id>
config={{
colorPalette: [{
guid: '01',
fill: {
r: 195,
g: 49,
b: 73
}
}, {
guid: '02',
fill: {
r: 168,
g: 194,
b: 86
}
}, {
guid: '03',
fill: {
r: 243,
g: 217,
b: 177
}
}]
}}
/>
Within one visualization:
- The
colorPalette
property overrides the custom color palette uploaded through the API and thecolors
property. - The
colorPalette
property can be overriden by thecolorMapping
property.
Color mapping
Color mapping allows you to assign colors to individual measures or attribute elements. To set up color mapping, set the colorMapping
property.
The colorMapping
property contains an array of objects. Each object is represented by a pair of a mapping predicate and a color (color GUID or color value).
- A mapping predicate is a function that takes a result header as the first argument and returns a Boolean value indicating whether the color will be assigned to a particular measure or attribute element. For more information on how to create predicates, see Create Predicates.
- A color is an object that contains two keys,
type
andvalue
.- To assign a color from a color palette (either the custom color palette uploaded through the API or the palette defined by the
colorPalette
property), settype
toguid
, and setvalue
to the GUID of the color from the palette. - To assign a custom color, set
type
torgb
, and setvalue
to an object containing the keysr
,g
, andb
with numerical values.
- To assign a color from a color palette (either the custom color palette uploaded through the API or the palette defined by the
The following example shows how to assign the color with GUID 02
to the measure with the local identifier m1_localIdentifier
, and the black color to the measure with the local identifier m2_localIdentifier
:
import { Visualization } from '@gooddata/react-components';
// Example of embedding a visualization with custom color mapping
<Visualization
projectId=<workspace-id>
identifier=<visualization-id>
config={{
colorMapping: [{
predicate: (headerItem) => {
return headerItem.measureHeaderItem && (headerItem.measureHeaderItem.localIdentifier === 'm1_localIdentifier')
},
color: {
type: 'guid',
value: '02'
}
}, {
predicate: (headerItem) => {
return headerItem.measureHeaderItem && (headerItem.measureHeaderItem.localIdentifier === 'm2_localIdentifier')
},
color: {
type: 'rgb',
value: {
r: 0,
g: 0,
b: 0
}
}
}]
}}
/>
Within one visualization, the colorMapping
property overrides the colorPalette
property (while still can use its colors), the colors
property, and the custom color palette uploaded through the API.
Change legend visibility and position
- To hide the legend, set the
config.legend.enabled
property tofalse
. - To change the legend position, adjust the
config.legend.position
property ('left'
/'right'
/'top'
/'bottom'
).
import { Visualization } from '@gooddata/react-components';
// Example of embedding a visualization with a custom legend position
<Visualization
projectId=<workspace-id>
identifier=<visualization-id>
config={{
legend: {
enabled: true,
position: 'bottom' // 'left', 'right', 'top'
}
}}
/>
Change a separator in the number format
- To change the thousands separator, adjust the
config.separators.thousand
property. - To change the decimal separator, adjust the
config.separators.decimal
property.
import { Visualization } from '@gooddata/react-components';
// Example of embedding a visualization with a custom separator in the number format
<Visualization
projectId=<workspace-id>
identifier=<visualization-id>
config={{
separators: {
thousand: ',',
decimal: '.'
}
}}
/>
Configure axes
To change axis visibility, set the
config.xaxis.visible
property.To hide axis labels, set the
config.xaxis.labelsEnabled
property tofalse
.NOTE: When
config.xaxis.visible
is set tofalse
, axis labels are hidden automatically regardless of whatconfig.xaxis.labelsEnabled
is set to.To rotate axis labels, set
config.xaxis.rotation
to a desired value.To set the axis scale, set
config.xaxis.min
andconfig.xaxis.max
.To show measures on a secondary axis, set
config.secondary_xaxis.measures
. Ifconfig.secondary_xaxis.measures
is not configured, all measures are displayed on the main axis by default.
For the properties of the Y axis, replace
xaxis
withyaxis
.
import { Visualization } from '@gooddata/react-components';
// Example of embedding a visualization with settings for the x-axis
<Visualization
projectId=<workspace-id>
identifier=<visualization-id>
config={{
xaxis: {
visible: false,
labelsEnabled: false,
rotation: '-90',
min: '150',
max: '440'
},
secondary_xaxis: {
visible: true,
labelsEnabled: true,
rotation: '-90',
min: '1500',
max: '4400',
measures: ['metricLocalIdentifier1', 'metricLocalIdentifier2']
}
}}
/>
Configure canvases
To configure data labels, set the config.dataLabels
property.
import { Visualization } from '@gooddata/react-components';
// Example of embedding a visualization with settings for the canvas
<Visualization
projectId=<workspace-id>
identifier=<visualization-id>
config={{
dataLabels: true,
grid: {
enabled: false
}
}}
/>
Customize tooltips and fonts
To customize tooltips and fonts, implement a custom visualization.