Version
5.0.2
Steps to reproduce
option = {
legend: {},
tooltip: {},
dataset: {
// 用 dimensions 指定了维度的顺序。直角坐标系中,
// 默认把第一个维度Map到 X 轴上,第二个维度Map到 Y 轴上。
// 如果不指定 dimensions,也可以通过指定 series.encode
// 完成Map,参见后文。
dimensions: ['product', '2015', '2016', '2017'],
source: [
{product: 'Walnut Brownie', '2015': 43.3, '2016': 85.8, '2017': 93.7},
{product: 'Walnut Brownie', '2015': 83.1, '2016': 73.4, '2017': 55.1},
{product: 'Walnut Brownie', '2015': 86.4, '2016': 65.2, '2017': 82.5},
{product: 'Walnut Brownie', '2015': 72.4, '2016': 53.9, '2017': 39.1},
{product: 'Walnut Brownie', '2015': 72.4, '2016': 53.9, '2017': 39.1}
]
},
xAxis: {type: 'category'},
yAxis: {},
series: [
{type: 'line'},
{type: 'line'},
{type: 'line'}
]
};
What is expected?
product 在x轴出现5次
What is actually happening?
实际出现了一次
所有数据都堆叠在一起了
3条答案
按热度按时间oyt4ldly1#
Hi! We've received your issue and please be patient to get responded. 🎉
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Have a nice day! 🍵
ffscu2ro2#
@anjing0524 It seems you are not using English, I've helped translate the content automatically. To make your issue understood by more people, we'd like to suggest using English next time. 🤗
TRANSLATED
TITLE
dataset and series performance is inconsistent
BODY
Version
5.0.2
Steps to reproduce
option = {
legend: {},
tooltip: {},
dataset: {
// Use dimensions to specify the order of dimensions. In the rectangular coordinate system,
// By default, the first dimension is mapped to the X axis, and the second dimension is mapped to the Y axis.
// If you don’t specify dimensions, you can also specify series.encode
// Complete the mapping, see later.
dimensions: ['product', '2015', '2016', '2017'],
source: [
{product:'Walnut Brownie', '2015': 43.3, '2016': 85.8, '2017': 93.7},
{product:'Walnut Brownie', '2015': 83.1, '2016': 73.4, '2017': 55.1},
{product:'Walnut Brownie', '2015': 86.4, '2016': 65.2, '2017': 82.5},
{product:'Walnut Brownie', '2015': 72.4, '2016': 53.9, '2017': 39.1},
{product:'Walnut Brownie', '2015': 72.4, '2016': 53.9, '2017': 39.1}
};
What is expected?
product appears 5 times on the x-axis
What is actually happening?
Actually appeared once
All the data is stacked together
4nkexdtk3#