visactor / vutil Goto Github PK
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License: MIT License
VUtil is a general visualization tool for VisActor
License: MIT License
linearScale.nice(10, { zero: true, });
linearScale.combineDomain([], true);
lastest
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scale.domain([100, 100]);
scale.tick() // return []
scale.tick() // return [100]
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complementary unit tests
no new api
clamp
area duplicated with vutils 补充点单测?
Originally posted by @xiaoluoHe in #94 (comment)
In a multi-data view scenario, update multiple data views at a time, and monitor the update completion of a group of views
-updateDataViews(DataView[])
-onDataViewsChange(string[])
-onAllViewsChange()
0.11.1
https://codesandbox.io/s/fervent-fermi-6pllny?file=/src/index.ts
s.ticks() === [];
s.ticks(10) === [-1,-0.9,-0.8,-0.7,-0.6,-0.5,-0.4,-0.3,-0.2,-0.1,-0];
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for update DataView fields
dataview.setFields(field: IFields)
support frequently used data format:
const data = [
['product', '2015', '2016', '2017'],
['Matcha Latte', 43.3, 85.8, 93.7],
['Milk Tea', 83.1, 73.4, 55.1],
['Cheese Cocoa', 86.4, 65.2, 82.5],
['Walnut Brownie', 72.4, 53.9, 39.1]
]
const data = [
'product': ['Matcha Latte', 'Milk Tea', 'Cheese Cocoa', 'Walnut Brownie'],
'count': [823, 235, 1042, 988],
'score': [95.8, 81.4, 91.2, 76.9]
]
const data = [
{product: 'Matcha Latte', count: 823, score: 95.8},
{product: 'Milk Tea', count: 235, score: 81.4},
{product: 'Cheese Cocoa', count: 1042, score: 91.2},
{product: 'Walnut Brownie', count: 988, score: 76.9}
]
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