ipecharts.option.seriesitems.boxplot module#

class ipecharts.option.seriesitems.boxplot.Boxplot(**kwargs: Any)[source]#

Bases: BaseWidget

Warning:

Autogenerated class

[Boxplot](https://en.wikipedia.org/wiki/Box_plot) is a convenient way of graphically depicting groups of numerical data through their quartiles.

Example:

Multiple series can be displayed in the same coordinate system. Please refer to [this example](https://echarts.apache.org/examples/en/editor.html?c=boxplot-multi&edit=1&reset=1).

type Unicode('boxplot')#
id Unicode(None)#

Component ID, not specified by default. If specified, it can be used to refer the component in option or API.

coordinateSystem Unicode(None)#

The coordinate used in the series, whose options are:

  • ‘cartesian2d’

    Use a two-dimensional rectangular coordinate (also known as Cartesian coordinate), with [xAxisIndex](#series-boxplot.xAxisIndex) and [yAxisIndex](#series-boxplot.yAxisIndex) to assign the corresponding axis component.

xAxisIndex Float(None)#

Index of [x axis](#xAxis) to combine with, which is useful for multiple x axes in one chart.

yAxisIndex Float(None)#

Index of [y axis](#yAxis) to combine with, which is useful for multiple y axes in one chart.

name Unicode(None)#

Series name used for displaying in [tooltip](#tooltip) and filtering with [legend](#legend), or updating data and configuration with setOption.

colorBy Unicode(None)#

> Since v5.2.0

The policy to take color from [option.color](#color). Valid values:

  • ‘series’: assigns the colors in the palette by series, so that all data in the same series are in the same color;

  • ‘data’: assigns colors in the palette according to data items, with each data item using a different color.

Whether to enable highlighting chart when [legend](#legend) is being hovered.

layout Unicode(None)#

Layout methods, whose optional values are:

  • ‘horizontal’: horizontally layout all boxes.

  • ‘vertical’: vertically layout all boxes.

The default value is decided by:

  • if there is a category axis: + if it is horizontal, use ‘horizontal’; + otherwise use ‘vertical’;

  • otherwise use ‘horizontal’.

boxWidth Any(None)#

Up and bottom boundary of box width. The array is in the form of [min, max].

It could be absolute value in pixel, such as [7, 50], or percentage, such as [‘40%’, ‘90%’]. The percentage means the percentage to the maximum possible width.

itemStyle Dict()#

Style of boxplot.

emphasis Dict()#

Configurations of emphasis state.

blur Dict()#

> Since v5.0.0

Configurations of blur state. Available when [emphasis.focus](#series-boxplot.emphasis.focus) is set.

select Dict()#

> Since v5.0.0

Configurations of select state. Available when [selectedMode](#series-boxplot.selectedMode) is set.

selectedMode Union(None)#

> Since v5.0.0

Selected mode. It is disabled by default, and you may set it to be true to enable it.

Besides, it can be set to ‘single’, ‘multiple’ or ‘series’, for single selection, multiple selections and whole series selection.

> ‘series’ is supported since v5.3.0

dimensions Any(None)#

dimensions can be used to define dimension info for series.data or dataset.source.

Notice: if [dataset](#dataset) is used, we can definite dimensions in [dataset.dimensions](#dataset.dimensions), or provide dimension names in the first column/row of [dataset.source](#dataset.source), and not need to specify dimensions here. But if dimensions is specified here, it will be used despite the dimension definitions in dataset.

For example:

``` option = {

dataset: {
source: [

// ‘date’, ‘open’, ‘close’, ‘highest’, ‘lowest’ [12, 44, 55, 66, 2], [23, 6, 16, 23, 1], …

]

}, series: {

type: ‘xxx’, // Specify name for each dimensions, which will be displayed in tooltip. dimensions: [‘date’, ‘open’, ‘close’, ‘highest’, ‘lowest’]

}

}

```#

series: {

type: ‘xxx’, dimensions: [

null, // If you do not intent to defined this dimension, use null is fine. {type: ‘ordinal’}, // Specify type of this dimension.

// ‘ordinal’ is always used in string. // If type is not specified, echarts will guess type by data.

{name: ‘good’, type: ‘number’}, ‘bad’ // Equals to {name: ‘bad’}.

]

}

```

Each data item of dimensions can be:

When dimensions is specified, the default tooltip will be displayed vertically, which is better to show dimension names. Otherwise, tooltip will displayed only value horizontally.

encode Dict()#

Define what is encoded to for each dimension of data. For example:

``` option = {

dataset: {
source: [

// Each column is called a dimension. // There are five dimensions: 0, 1, 2, 3, 4. [12, 44, 55, 66, 2], [23, 6, 16, 23, 1], …

]

}, series: {

type: ‘xxx’, encode: {

x: [3, 1, 5], // Dimension 3, 1, 5 is mapped to x axis. y: 2, // Dimension 2 is mapped to y axis. tooltip: [3, 2, 4] // Dimension 3, 2, 4 will be displayed in tooltip.

}

}

}

```

When [dimensions](#series.dimensions) is used to defined name for a certain dimension, encode can refer the name directly. For example:

``` series: {

type: ‘xxx’, dimensions: [‘date’, ‘open’, ‘close’, ‘highest’, ‘lowest’], encode: {

x: ‘date’, y: [‘open’, ‘close’, ‘highest’, ‘lowest’]

}

}

```

The basic structure of [encode](option.html#series.encode) is illustrated as follows, where the left part of colon is the name of axis like ‘x’, ‘y’, ‘radius’, ‘angle’ or some special reserved names like “tooltip”, “itemName” etc., and the right part of the colon is the dimension names or dimension indices (based on 0). One or more dimensions can be specified. Usually not all of mappings need to be specified, only specify needed ones.

The properties available in encode listed as follows:

``` // In any of the series and coordinate systems, // these properties are available: encode: {

// Display dimension “product” and “score” in the tooltip. tooltip: [‘product’, ‘score’] // Set the series name as the concat of the names of dimensions[1] and dimensions[3]. // (sometimes the dimension names are too long to type in series.name manually). seriesName: [1, 3], // Using dimensions[2] as the id of each data item. This is useful when dynamically // update data by chart.setOption(), where the new and old data item can be // corresponded by id, by which the appropriate animation can be performed when updating. itemId: 2, // Using dimensions[3] as the name of each data item. This is useful in charts like // ‘pie’, ‘funnel’, where data item name can be displayed in legend. itemName: 3, // Using dimensions[4] as the group ID for each data item. With universalTransition enabled, // the data items from the old option and those from the new one, if sharing a same group ID, // will then be matched and applied to a proper animation after setOption is called. itemGroupId: 4, // Using dimension[5] as the child group ID for each data item. This option is introduced to // make multiple levels drilldown and aggregation animation come true. See childGroupId for more. // Since v5.5.0 itemChildGroupId: 5

}

// These properties only work in cartesian(grid) coordinate system: encode: {

// Map dimensions[1], dimensions[5] and dimension “score” to the X axis. x: [1, 5, ‘score’], // Map dimensions[0] to the Y axis. y: 0

}

// These properties only work in polar coordinate system: encode: {

radius: 3, angle: 2, …

}

// These properties only work in geo coordinate system: encode: {

lng: 3, lat: 2

}

// For some type of series that are not in any coordinate system, // like ‘pie’, ‘funnel’ etc.: encode: {

value: 3

}

```

This is an [example](https://echarts.apache.org/examples/en/view.html?c=dataset-encode1&edit=1&reset=1) for encode.

Specially, in [custom series(~series-custom), some property in encode, corresponding to axis, can be set as null to make the series not controlled by the axis, that is, the series data will not be count in the extent of the axis, and the [dataZoom](#dataZoom) on the axis will not filter the series.

``` var option = {

xAxis: {}, yAxis: {}, dataZoom: [{

xAxisIndex: 0

}, {

yAxisIndex: 0

}], series: {

type: ‘custom’, renderItem: function (params, api) {

return {

type: ‘circle’, shape: {

cx: 100, // x position is always 100 cy: api.coord([0, api.value(0)])[1], r: 30

}, style: {

fill: ‘blue’

}

};

}, encode: {

// Then the series will not be controlled // by x axis and corresponding dataZoom. x: -1, y: 1

}, data: [ … ]

}

};

```

dataGroupId Unicode(None)#

A group ID assigned to all data items in the series.

This option has a lower priority than groupId, which means when groupId is specified for a certain data item the dataGroupId will be simply ignored for that data item. For more information, please see series.data.groupId.

data Any(None)#

Data should be the two-dimensional array shown as follow.

``` [

[655, 850, 940, 980, 1175], [672.5, 800, 845, 885, 1012.5], [780, 840, 855, 880, 940], [621.25, 767.5, 815, 865, 1011.25], { // the data item could also be an Object, so that it could contains special settings for this data item.

value: [713.75, 807.5, 810, 870, 963.75], itemStyle: {…}

]

```

Every data item (each line in the example above) in the two-dimensional array will be rendered into a box, and each line have five values as:

``` [min, Q1, median (or Q2), Q3, max]

```

Data Processing

ECharts doesn’t contain data processing modules, so the five statistic values should be calculated by yourself and then passes into boxplot.

However, ECharts also provide some simple [raw data processing tools](apache/echarts). For example, this [example](https://echarts.apache.org/examples/en/editor.html?c=boxplot-light-velocity&edit=1&reset=1) uses echarts.dataTool.prepareBoxplotData to proceed simple data statistics.

markPoint Dict()#

Mark point in a chart.

markLine Dict()#

Use a line in the chart to illustrate.

markArea Dict()#

Used to mark an area in chart. For example, mark a time interval.

zlevel Float(None)#

zlevel value of all graphical elements in Boxplot .

zlevel is used to make layers with Canvas. Graphical elements with different zlevel values will be placed in different Canvases, which is a common optimization technique. We can put those frequently changed elements (like those with animations) to a separate zlevel. Notice that too many Canvases will increase memory cost, and should be used carefully on mobile phones to avoid crash.

Canvases with bigger zlevel will be placed on Canvases with smaller zlevel.

z Float(None)#

z value of all graphical elements in Boxplot , which controls order of drawing graphical components. Components with smaller z values may be overwritten by those with larger z values.

z has a lower priority to zlevel, and will not create new Canvas.

silent Bool(None)#

Whether to ignore mouse events. Default value is false, for triggering and responding to mouse events.

animationDuration Union(None)#

Duration of the first animation, which supports callback function for different data to have different animation effect:

``` animationDuration: function (idx) {

// delay for later data is larger return idx * 100;

}

```

animationEasing Unicode(None)#

Easing method used for the first animation. Varied easing effects can be found at [easing effect example](https://echarts.apache.org/examples/en/editor.html?c=line-easing).

animationDelay Union(None)#

Delay before updating the first animation, which supports callback function for different data to have different animation effect.

For example:

``` animationDelay: function (idx) {

// delay for later data is larger return idx * 100;

}

```

See [this example](https://echarts.apache.org/examples/en/editor.html?c=bar-animation-delay) for more information.

universalTransition Any(None)#

> Since v5.2.0

Configuration related to universal transition animation.

Universal Transition provides the ability to morph between any series. With this feature enabled, each time setOption, transitions between series with the same id will be automatically associated with each other.

One-to-many or many-to-one animations such as drill-down, aggregation, etc. can also be achieved by specifying data items’ groupId and childGroupId.

This can be enabled directly by configuring universalTransition: true in the series. It is also possible to provide an object for more detailed configuration.

tooltip Dict()#

tooltip settings in this series.