Hi Justin,
I'm not sure I understand what you mean by "This approach requires the
dt1columns argument is different for each joining of an additional data
set.", but that sounds wrong. You could join the same columns in different
datatables each time. The result of each join is a new datatable, so you
could do a loop like this:
dtJoin = dtables[0];
for (i = 1; i < dtables.length; i++) {
dtJoin = google.visualization.data.join(dtJoin, dtables[i], joinMethod,
joinKeys, 1, 1);
}
On Sun, May 7, 2017 at 11:28 AM, Justin Stay <[email protected]> wrote:
> I have many (2+, number unknown at time of generation) of 1D data sets
> that I would like to plot together. This data is being queried from a
> MySQL database. The generation of these datasets are captured through N
> queries (where there are N lines to plot on the line chart). For example:
>
> Dataset #1: MySQL query results a data set with M1 (x,y) data points
> Dataset #2: M2 (x,y) data points
> etc . . .
>
> Such that you end with some number of datasets that are not the same
> length nor share the same x values.
>
> I have seen a few questions/examples that seem to address this question
> using the join method (https://developers.google.
> com/chart/interactive/docs/reference#join). This approach requires the
> dt1columns argument is different for each joining of an additional data set.
>
> Is this approach the only method for solving this problem? Is there a
> better approach? No other plotting tool I've used requires that each data
> set be the same size.
>
> Thanks!
>
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--
Daniel LaLiberte <https://plus.google.com/100631381223468223275?prsrc=2>
[email protected] <[email protected]> 5CC, Cambridge MA
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