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@vx/boxplot
Advanced tools
npm install --save @vx/boxplot
A boxplot shows the minimum, maximum, and quartiles of a dataset.
You can pass in props to target the min
, max
, median
, and box (interquartile range)
shapes using minProps
, maxProps
, medianProps
, and boxProps
.
If you are looking to add events over the each boxplot group you can pass in container={true}
and containerProps={{ /** */ }}
.
Name | Default | Type | Description |
---|---|---|---|
className | string | The className for the boxplot | |
left | 0 | number | The left offset of the boxplot |
data | array | An array of data | |
max | number | The maximum value for boxplot | |
min | number | The minimum value for boxplot | |
firstQuartile | number | The value for the first quartile for the boxplot | |
thirdQuartile | number | The value for the third quartile for the boxplot | |
median | number | The median value for the boxplot | |
boxWidth | number | The width of the box | |
fill | string | The color of the box | |
fillOpacity | number | The opacity of the box | |
stroke | string | The color of the lines in boxplot | |
strokeWidth | number | Width of the lines in boxplot | |
rx | 2 | number | The x-axis radius for the box |
ry | 2 | number | The y-axis radius for the box |
container | false | boolean | Set to true and add containerProps = {{ /** */}} to add events to each boxplot group |
maxProps | {} | object | Props passed to target the line shape for the maximum |
minProps | {} | object | Props passed to target the line shape for the minimum |
medianProps | {} | object | Props passed to target the line shape for the median |
boxProps | {} | object | Props passed to target the rect shape for the box |
containerProps | {} | object | Props passed to add events over each boxplot group (requires container={true} ) |
v0.0.143
<Tree />
& <Cluster />
now only pass data
as an argument to the child render function #173<Pack />
, <Partition />
, & <Treemap />
#173Changes:
- @vx/annotation: 0.0.142 => 0.0.143
- @vx/axis: 0.0.142 => 0.0.143
- @vx/bounds: 0.0.141 => 0.0.143
- @vx/boxplot: 0.0.140 => 0.0.143
- @vx/brush: 0.0.140 => 0.0.143
- @vx/clip-path: 0.0.140 => 0.0.143
- @vx/curve: 0.0.140 => 0.0.143
- @vx/demo: 0.0.142 => 0.0.143
- @vx/drag: 0.0.140 => 0.0.143
- @vx/event: 0.0.141 => 0.0.143
- @vx/geo: 0.0.140 => 0.0.143
- @vx/glyph: 0.0.140 => 0.0.143
- @vx/gradient: 0.0.140 => 0.0.143
- @vx/grid: 0.0.142 => 0.0.143
- @vx/group: 0.0.140 => 0.0.143
- @vx/heatmap: 0.0.140 => 0.0.143
- @vx/hierarchy: 0.0.141 => 0.0.143
- @vx/legend: 0.0.141 => 0.0.143
- @vx/marker: 0.0.142 => 0.0.143
- @vx/mock-data: 0.0.136 => 0.0.143
- @vx/network: 0.0.140 => 0.0.143
- @vx/pattern: 0.0.140 => 0.0.143
- @vx/point: 0.0.136 => 0.0.143
- @vx/responsive: 0.0.140 => 0.0.143
- @vx/scale: 0.0.140 => 0.0.143
- @vx/shape: 0.0.142 => 0.0.143
- @vx/text: 0.0.140 => 0.0.143
- @vx/tooltip: 0.0.141 => 0.0.143
- @vx/voronoi: 0.0.140 => 0.0.143
- @vx/vx: 0.0.142 => 0.0.143
- @vx/zoom: 0.0.140 => 0.0.143
FAQs
vx box plot
The npm package @vx/boxplot receives a total of 18 weekly downloads. As such, @vx/boxplot popularity was classified as not popular.
We found that @vx/boxplot demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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