Fusioncharts 线是舍入值
Fusioncharts line is rounding values
我使用的是最新版本的 Fusionchart (3.13.1-sr.1)。我正在尝试插入此图表:
{
"chart": {
"caption": "Capacitat",
"subcaption": "Capacitat",
"decimalSeparator ": ",",
"decimals": "2",
"exportEnabled": "1",
"yaxisname": "Preu €/MWh",
"xaxisname": "Date",
"yaxisminValue": "0,0464",
"yaxismaxValue": "10,0488",
"pixelsPerPoint": "0",
"pixelsPerLabel": "30",
"lineThickness": "1",
"compactdatamode": "1",
"dataseparator": "|",
"labelHeight": "30",
"scrollheight": "10",
"flatScrollBars": "1",
"scrollShowButtons": "0",
"yAxisValueDecimals": "2",
"forceYAxisValueDecimals": "1",
"scrollColor": "#cccccc",
"theme": "fusion"
},
"categories": [
{
"category": "1/6/2018 12:00:00| 2/6/2018 12:00:00| 3/6/2018 12:00:00| 1/6/2018 1:00:00| 2/6/2018 1:00:00| 3/6/2018 1:00:00| 1/6/2018 2:00:00| 2/6/2018 2:00:00| 3/6/2018 2:00:00| 1/6/2018 3:00:00| 2/6/2018 3:00:00| 3/6/2018 3:00:00| 1/6/2018 4:00:00| 2/6/2018 4:00:00| 3/6/2018 4:00:00| 1/6/2018 5:00:00| 2/6/2018 5:00:00| 3/6/2018 5:00:00| 1/6/2018 6:00:00| 2/6/2018 6:00:00| 3/6/2018 6:00:00| 1/6/2018 7:00:00| 2/6/2018 7:00:00| 3/6/2018 7:00:00| 1/6/2018 8:00:00| 2/6/2018 8:00:00| 3/6/2018 8:00:00| 1/6/2018 9:00:00| 2/6/2018 9:00:00| 3/6/2018 9:00:00| 1/6/2018 10:00:00| 2/6/2018 10:00:00| 3/6/2018 10:00:00| 1/6/2018 11:00:00| 2/6/2018 11:00:00| 3/6/2018 11:00:00| 1/6/2018 12:00:00| 2/6/2018 12:00:00| 3/6/2018 12:00:00| 1/6/2018 1:00:00| 2/6/2018 1:00:00| 3/6/2018 1:00:00| 1/6/2018 2:00:00| 2/6/2018 2:00:00| 3/6/2018 2:00:00| 1/6/2018 3:00:00| 2/6/2018 3:00:00| 3/6/2018 3:00:00| 1/6/2018 4:00:00| 2/6/2018 4:00:00| 3/6/2018 4:00:00| 1/6/2018 5:00:00| 2/6/2018 5:00:00| 3/6/2018 5:00:00| 1/6/2018 6:00:00| 2/6/2018 6:00:00| 3/6/2018 6:00:00| 1/6/2018 7:00:00| 2/6/2018 7:00:00| 3/6/2018 7:00:00| 1/6/2018 8:00:00| 2/6/2018 8:00:00| 3/6/2018 8:00:00| 1/6/2018 9:00:00| 2/6/2018 9:00:00| 3/6/2018 9:00:00| 1/6/2018 10:00:00| 2/6/2018 10:00:00| 3/6/2018 10:00:00| 1/6/2018 11:00:00| 2/6/2018 11:00:00| 3/6/2018 11:00:00"
}
],
"dataset": [
{
"seriesname": "Preu",
"data": "0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000"
}
]
}
结果图表四舍五入。在示例中,我希望看到 4.30,但它显示的是 4.0
当您在数据源的数据对象中提供值为 4,304000 且小数点分隔符为“,”时。
那么您需要在数据源中设置属性"inDecimalSeparator"为字符“,”,以指定输入值将使用“,”作为小数点分隔符的图表。
由于您尚未设置此属性,因此图表采用了所有值,直到所有绘图的字符“,”。例如:4,304000 被认为是 4,因此显示为 4.00。
查找示例 fiddle 使用上述属性修改提供的数据源:
http://jsfiddle.net/n2L4ekg3/2/
{
"chart": {
"caption": "Capacitat",
"subcaption": "Capacitat",
"decimalSeparator ": ",",
"decimals": "2",
"exportEnabled": "1",
"yaxisname": "Preu €/MWh",
"xaxisname": "Date",
"yaxisminValue": "0,0464",
"yaxismaxValue": "10,0488",
"pixelsPerPoint": "0",
"pixelsPerLabel": "30",
"lineThickness": "1",
"compactdatamode": "1",
"dataseparator": "|",
"labelHeight": "30",
"scrollheight": "10",
"flatScrollBars": "1",
"scrollShowButtons": "0",
"yAxisValueDecimals": "2",
"forceYAxisValueDecimals": "1",
"scrollColor": "#cccccc",
"inDecimalSeparator": ",",
"theme": "fusion"
},
"categories": [{
"category": "1/6/2018 12:00:00| 2/6/2018 12:00:00| 3/6/2018 12:00:00| 1/6/2018 1:00:00| 2/6/2018 1:00:00| 3/6/2018 1:00:00| 1/6/2018 2:00:00| 2/6/2018 2:00:00| 3/6/2018 2:00:00| 1/6/2018 3:00:00| 2/6/2018 3:00:00| 3/6/2018 3:00:00| 1/6/2018 4:00:00| 2/6/2018 4:00:00| 3/6/2018 4:00:00| 1/6/2018 5:00:00| 2/6/2018 5:00:00| 3/6/2018 5:00:00| 1/6/2018 6:00:00| 2/6/2018 6:00:00| 3/6/2018 6:00:00| 1/6/2018 7:00:00| 2/6/2018 7:00:00| 3/6/2018 7:00:00| 1/6/2018 8:00:00| 2/6/2018 8:00:00| 3/6/2018 8:00:00| 1/6/2018 9:00:00| 2/6/2018 9:00:00| 3/6/2018 9:00:00| 1/6/2018 10:00:00| 2/6/2018 10:00:00| 3/6/2018 10:00:00| 1/6/2018 11:00:00| 2/6/2018 11:00:00| 3/6/2018 11:00:00| 1/6/2018 12:00:00| 2/6/2018 12:00:00| 3/6/2018 12:00:00| 1/6/2018 1:00:00| 2/6/2018 1:00:00| 3/6/2018 1:00:00| 1/6/2018 2:00:00| 2/6/2018 2:00:00| 3/6/2018 2:00:00| 1/6/2018 3:00:00| 2/6/2018 3:00:00| 3/6/2018 3:00:00| 1/6/2018 4:00:00| 2/6/2018 4:00:00| 3/6/2018 4:00:00| 1/6/2018 5:00:00| 2/6/2018 5:00:00| 3/6/2018 5:00:00| 1/6/2018 6:00:00| 2/6/2018 6:00:00| 3/6/2018 6:00:00| 1/6/2018 7:00:00| 2/6/2018 7:00:00| 3/6/2018 7:00:00| 1/6/2018 8:00:00| 2/6/2018 8:00:00| 3/6/2018 8:00:00| 1/6/2018 9:00:00| 2/6/2018 9:00:00| 3/6/2018 9:00:00| 1/6/2018 10:00:00| 2/6/2018 10:00:00| 3/6/2018 10:00:00| 1/6/2018 11:00:00| 2/6/2018 11:00:00| 3/6/2018 11:00:00"
}],
"dataset": [{
"seriesname": "Preu",
"data": "0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000"
}]
}
我使用的是最新版本的 Fusionchart (3.13.1-sr.1)。我正在尝试插入此图表:
{
"chart": {
"caption": "Capacitat",
"subcaption": "Capacitat",
"decimalSeparator ": ",",
"decimals": "2",
"exportEnabled": "1",
"yaxisname": "Preu €/MWh",
"xaxisname": "Date",
"yaxisminValue": "0,0464",
"yaxismaxValue": "10,0488",
"pixelsPerPoint": "0",
"pixelsPerLabel": "30",
"lineThickness": "1",
"compactdatamode": "1",
"dataseparator": "|",
"labelHeight": "30",
"scrollheight": "10",
"flatScrollBars": "1",
"scrollShowButtons": "0",
"yAxisValueDecimals": "2",
"forceYAxisValueDecimals": "1",
"scrollColor": "#cccccc",
"theme": "fusion"
},
"categories": [
{
"category": "1/6/2018 12:00:00| 2/6/2018 12:00:00| 3/6/2018 12:00:00| 1/6/2018 1:00:00| 2/6/2018 1:00:00| 3/6/2018 1:00:00| 1/6/2018 2:00:00| 2/6/2018 2:00:00| 3/6/2018 2:00:00| 1/6/2018 3:00:00| 2/6/2018 3:00:00| 3/6/2018 3:00:00| 1/6/2018 4:00:00| 2/6/2018 4:00:00| 3/6/2018 4:00:00| 1/6/2018 5:00:00| 2/6/2018 5:00:00| 3/6/2018 5:00:00| 1/6/2018 6:00:00| 2/6/2018 6:00:00| 3/6/2018 6:00:00| 1/6/2018 7:00:00| 2/6/2018 7:00:00| 3/6/2018 7:00:00| 1/6/2018 8:00:00| 2/6/2018 8:00:00| 3/6/2018 8:00:00| 1/6/2018 9:00:00| 2/6/2018 9:00:00| 3/6/2018 9:00:00| 1/6/2018 10:00:00| 2/6/2018 10:00:00| 3/6/2018 10:00:00| 1/6/2018 11:00:00| 2/6/2018 11:00:00| 3/6/2018 11:00:00| 1/6/2018 12:00:00| 2/6/2018 12:00:00| 3/6/2018 12:00:00| 1/6/2018 1:00:00| 2/6/2018 1:00:00| 3/6/2018 1:00:00| 1/6/2018 2:00:00| 2/6/2018 2:00:00| 3/6/2018 2:00:00| 1/6/2018 3:00:00| 2/6/2018 3:00:00| 3/6/2018 3:00:00| 1/6/2018 4:00:00| 2/6/2018 4:00:00| 3/6/2018 4:00:00| 1/6/2018 5:00:00| 2/6/2018 5:00:00| 3/6/2018 5:00:00| 1/6/2018 6:00:00| 2/6/2018 6:00:00| 3/6/2018 6:00:00| 1/6/2018 7:00:00| 2/6/2018 7:00:00| 3/6/2018 7:00:00| 1/6/2018 8:00:00| 2/6/2018 8:00:00| 3/6/2018 8:00:00| 1/6/2018 9:00:00| 2/6/2018 9:00:00| 3/6/2018 9:00:00| 1/6/2018 10:00:00| 2/6/2018 10:00:00| 3/6/2018 10:00:00| 1/6/2018 11:00:00| 2/6/2018 11:00:00| 3/6/2018 11:00:00"
}
],
"dataset": [
{
"seriesname": "Preu",
"data": "0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000"
}
]
}
结果图表四舍五入。在示例中,我希望看到 4.30,但它显示的是 4.0
当您在数据源的数据对象中提供值为 4,304000 且小数点分隔符为“,”时。
那么您需要在数据源中设置属性"inDecimalSeparator"为字符“,”,以指定输入值将使用“,”作为小数点分隔符的图表。
由于您尚未设置此属性,因此图表采用了所有值,直到所有绘图的字符“,”。例如:4,304000 被认为是 4,因此显示为 4.00。
查找示例 fiddle 使用上述属性修改提供的数据源: http://jsfiddle.net/n2L4ekg3/2/
{
"chart": {
"caption": "Capacitat",
"subcaption": "Capacitat",
"decimalSeparator ": ",",
"decimals": "2",
"exportEnabled": "1",
"yaxisname": "Preu €/MWh",
"xaxisname": "Date",
"yaxisminValue": "0,0464",
"yaxismaxValue": "10,0488",
"pixelsPerPoint": "0",
"pixelsPerLabel": "30",
"lineThickness": "1",
"compactdatamode": "1",
"dataseparator": "|",
"labelHeight": "30",
"scrollheight": "10",
"flatScrollBars": "1",
"scrollShowButtons": "0",
"yAxisValueDecimals": "2",
"forceYAxisValueDecimals": "1",
"scrollColor": "#cccccc",
"inDecimalSeparator": ",",
"theme": "fusion"
},
"categories": [{
"category": "1/6/2018 12:00:00| 2/6/2018 12:00:00| 3/6/2018 12:00:00| 1/6/2018 1:00:00| 2/6/2018 1:00:00| 3/6/2018 1:00:00| 1/6/2018 2:00:00| 2/6/2018 2:00:00| 3/6/2018 2:00:00| 1/6/2018 3:00:00| 2/6/2018 3:00:00| 3/6/2018 3:00:00| 1/6/2018 4:00:00| 2/6/2018 4:00:00| 3/6/2018 4:00:00| 1/6/2018 5:00:00| 2/6/2018 5:00:00| 3/6/2018 5:00:00| 1/6/2018 6:00:00| 2/6/2018 6:00:00| 3/6/2018 6:00:00| 1/6/2018 7:00:00| 2/6/2018 7:00:00| 3/6/2018 7:00:00| 1/6/2018 8:00:00| 2/6/2018 8:00:00| 3/6/2018 8:00:00| 1/6/2018 9:00:00| 2/6/2018 9:00:00| 3/6/2018 9:00:00| 1/6/2018 10:00:00| 2/6/2018 10:00:00| 3/6/2018 10:00:00| 1/6/2018 11:00:00| 2/6/2018 11:00:00| 3/6/2018 11:00:00| 1/6/2018 12:00:00| 2/6/2018 12:00:00| 3/6/2018 12:00:00| 1/6/2018 1:00:00| 2/6/2018 1:00:00| 3/6/2018 1:00:00| 1/6/2018 2:00:00| 2/6/2018 2:00:00| 3/6/2018 2:00:00| 1/6/2018 3:00:00| 2/6/2018 3:00:00| 3/6/2018 3:00:00| 1/6/2018 4:00:00| 2/6/2018 4:00:00| 3/6/2018 4:00:00| 1/6/2018 5:00:00| 2/6/2018 5:00:00| 3/6/2018 5:00:00| 1/6/2018 6:00:00| 2/6/2018 6:00:00| 3/6/2018 6:00:00| 1/6/2018 7:00:00| 2/6/2018 7:00:00| 3/6/2018 7:00:00| 1/6/2018 8:00:00| 2/6/2018 8:00:00| 3/6/2018 8:00:00| 1/6/2018 9:00:00| 2/6/2018 9:00:00| 3/6/2018 9:00:00| 1/6/2018 10:00:00| 2/6/2018 10:00:00| 3/6/2018 10:00:00| 1/6/2018 11:00:00| 2/6/2018 11:00:00| 3/6/2018 11:00:00"
}],
"dataset": [{
"seriesname": "Preu",
"data": "0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|0,058000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|8,374000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000|4,304000"
}]
}