If you don't need the date for anything, you could switch your first column
to a "timeofday" data type, which would align all of your data on a single
span of hours, regardless of day:
var data = google.visualization.arrayToDataTable([
['Date', 'Value1', 'Value2', 'Value3', 'Value4'],
[[3, 14, 0, 0], 1336060, 400361, 1001582, 997974],
[[3, 15, 0, 0], 1538156, 366849, 1119450, 941795],
[[3, 16, 0, 0], 1576579, 440514, 993360, 930593],
[[3, 17, 0, 0], 1600652, 434552, 1004163, 897127],
[[3, 18, 0, 0], 1968113, 393032, 979198, 1080887],
[[3, 19, 0, 0], 1901067, 517206, 916965, 1056036],
[[3, 14, 0, 0], 1336060, 400361, 1001582, 997974],
[[3, 15, 0, 0], 1538156, 366849, 1119450, 941795],
[[3, 16, 0, 0], 1576579, 440514, 993360, 930593],
[[3, 17, 0, 0], 1600652, 434552, 1004163, 897127],
[[3, 18, 0, 0], 1968113, 393032, 979198, 1080887],
[[3, 19, 0, 0], 1901067, 517206, 916965, 1056036],
[[3, 14, 0, 0], 1336060, 400361, 1001582, 997974],
[[3, 15, 0, 0], 1538156, 366849, 1119450, 941795],
[[3, 16, 0, 0], 1576579, 440514, 993360, 930593],
[[3, 17, 0, 0], 1600652, 434552, 1004163, 897127],
[[3, 18, 0, 0], 1968113, 393032, 979198, 1080887],
[[3, 19, 0, 0], 1901067, 517206, 916965, 1056036]
]);
The data format for "timeofday" is an array in the form [hours, minutes,
seconds, milliseconds].
On Saturday, September 13, 2014 2:43:19 AM UTC-4, Schabagh wrote:
>
> Hi Andrew,
>
> sorry, that is correct. But look at the x-axis in the picture please.As
> yor see the times are repeated in the middle of the X-axis.
>
> 0.00 ... 6.00 ... 12.00 ... 18.00 ... 0.00 ... 6.00 ... 12.00 ... 18.00
>
> but I have with my data only one time line (it means 0.00 ... 6.00 ...
> 12.00 ... 18.00) on the X-Axis like this, where all curves are indicated
> at 0.00 on the left:
>
> 0.00 ............. 6.00 ............. 12.00 ............. 18.00
>
> How can I add the data in the Datatable-Aarray so I can indicate the data
> as shown in the picture? Is that even possible with the Google Chart.
>
> Thanks
>
>
>
> Am Samstag, 13. September 2014 00:48:13 UTC+2 schrieb Andrew Gallant:
>>
>> I don't understand what it is you would like to do. How does your
>> example image relate to your data? What do you mean by only 1 curve
>> instead of 5 (your data as-is should produce a LineChart with 4 lines)?
>>
>> On Friday, September 12, 2014 9:04:31 AM UTC-4, Schabagh wrote:
>>>
>>> Hi,
>>>
>>> how can I indicate die information of e.g. 5 days with the
>>> same/repetitive times (X-Axis) with a line chart correctly, only with one
>>> curve and not with 5 different curves? For example:
>>>
>>> Code hier eingeben...var data = google.visualization.arrayToDataTable([
>>> ['Date', 'Value1', 'Value2', 'Value3', 'Value4'],
>>> ['2014-06-11 03:14:00.000', 1336060, 400361, 1001582,
>>> 997974],
>>> ['2014-06-11 03:15:00.000', 1538156, 366849, 1119450,
>>> 941795],
>>> ['2014-06-11 03:16:00.000', 1576579, 440514, 993360,
>>> 930593],
>>> ['2014-06-11 03:17:00.000', 1600652, 434552, 1004163,
>>> 897127],
>>> ['2014-06-11 03:18:00.000', 1968113, 393032, 979198,
>>> 1080887],
>>> ['2014-06-11 03:19:00.000', 1901067, 517206, 916965,
>>> 1056036],
>>>
>>> ['2014-06-12 03:14:00.000', 1336060, 400361, 1001582,
>>> 997974],
>>> ['2014-06-12 03:15:00.000', 1538156, 366849, 1119450,
>>> 941795],
>>> ['2014-06-12 03:16:00.000', 1576579, 440514, 993360,
>>> 930593],
>>> ['2014-06-12 03:17:00.000', 1600652, 434552, 1004163,
>>> 897127],
>>> ['2014-06-12 03:18:00.000', 1968113, 393032, 979198,
>>> 1080887],
>>> ['2014-06-12 03:19:00.000', 1901067, 517206, 916965,
>>> 1056036],
>>>
>>> ['2014-06-13 03:14:00.000', 1336060, 400361, 1001582,
>>> 997974],
>>> ['2014-06-13 03:15:00.000', 1538156, 366849, 1119450,
>>> 941795],
>>> ['2014-06-13 03:16:00.000', 1576579, 440514, 993360,
>>> 930593],
>>> ['2014-06-13 03:17:00.000', 1600652, 434552, 1004163,
>>> 897127],
>>> ['2014-06-13 03:18:00.000', 1968113, 393032, 979198,
>>> 1080887],
>>> ['2014-06-13 03:19:00.000', 1901067, 517206, 916965,
>>> 1056036]
>>>
>>> ...
>>> ]);
>>>
>>> Is that possible. Could I have an example please? I miss some data. I
>>>
>>> Thanks
>>>
>>
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