blob: 92f280574579957ccc5b5a60f58e47085cd60810 [file] [log] [blame]
option = {
dataset: [{
dimensions: ['name', 'age', 'profession', 'score', 'date'],
source: [
[' Hannah Krause ', 41, 'Engineer', 314, '2011-02-12'],
['Zhao Qian ', 20, 'Teacher', 351, '2011-03-01'],
[' Jasmin Krause ', 52, 'Musician', 287, '2011-02-14'],
['Li Lei', 37, 'Teacher', 219, '2011-02-18'],
[' Karle Neumann ', 25, 'Engineer', 253, '2011-04-02'],
[' Adrian Groß', 19, 'Teacher', null, '2011-01-16'],
['Mia Neumann', 71, 'Engineer', 165, '2011-03-19'],
[' Böhm Fuchs', 36, 'Musician', 318, '2011-02-24'],
['Han Meimei ', 67, 'Engineer', 366, '2011-03-12'],
]
}, {
transform: {
type: 'sort',
config: [
{ dimension: 'profession', order: 'desc' },
{ dimension: 'score', order: 'desc' }
]
}
}],
xAxis: {
type: 'category',
axisLabel: { interval: 0, rotate: 30 },
},
yAxis: {},
series: {
type: 'bar',
label: {
show: true,
rotate: 90,
position:
'insideBottom',
align: 'left',
verticalAlign: 'middle'
},
itemStyle: {
color: function (params) {
return ({
Engineer: '#5470c6',
Teacher: '#91cc75',
Musician: '#fac858'
})[params.data[2]]
}
},
encode: { x: 'name', y: 'score', label: ['profession'] },
datasetIndex: 1
}
};