So series can use any defined data set, you should set its name in data_set attribute: in XML sample above.Īfter the data source is defined you should map fields for the series. ![]() XML Sample below shows CSV data with semicolon " " used as the columns separator, and Carriage Return with Line Feed "\r\n" used to separate rows:Īs you can see when CSV data is used data_source attribute should be set to "CSV" - if you don't set mapping info is ignored and series is treated as regular XML.Īll mapping data is set in nod. For example "\"a,b,c\"" allows you to get "a,b,c" string as the value.īy default An圜hart treats "," as the columns separator, and new line "\n" a as rows separator, if you'd like to use another separators - you need to define the explicitly using rows_separator and columns_separator attributes in node. CSV often contains column names in the fist row - An圜hart doesn't accept this - can contain only data rows.Īn圜hart use double quotes " (ASCII code 34) to enclose the strings that contain separator symbols, if you need to use double quote in the field value you should escape it with reverse slash. The data itself is contained in node.īelow you can see how one should define a single CSV data set in XML: The data set is described in node, name attribute is the unique identifier used to map series to the set. These data sets are defined in, subnode of node. The idea of working with CSV data is in adding the data sets themselves and mapping these data sets to regular An圜hart data series.Īn圜hart can use several CSV data blocks, we call them data sets. Using CSV allows to make data file smaller for each point description contains only data and fields separators and nothing more. If you have no need to configure each point individually you can use CSV data input to make data file smaller and decrease loading time. At the same time XML can create pretty large, when data set includes thousands of points. This format gives the vary flexible way of controlling any settings of every point on the chart. ![]() Using one Data Set in different dashboard viewsīy default An圜hart get data in proprietary XML format.This makes it quite convenient to adjust every series in a chart using while loop. If you try to pass number which exceeds the number of series on the chart, null will be returned. Index is a sequence number of the series which is set by An圜hart Engine automatically and it can not be changed. The getSeriesAt() method can be used to obtain a link to a series and it uses series index as a parameter. IndexĮach series has an index and this index can be used to obtain a link to a series object. You can use either series id or series index to do this. When you add multiple series in such way you may need to obtain a link to some or all of of them for further adjustments. Open the sample in the playground to examine the code. set chart typeĪll the series in the sample below are added using addSeries() method. The type of series added by addSeries() is set by the defaultSeriesType() method. But before adding series, you have to define the type of the series to be added. You can pass any number of parameters to create any number of series. Data for the method can be passed in different formats: it can be a simple array of data objects, a data set or a data view. There is one more way of creating multiple-series charts: the addSeries() method can add any number of series to a chart. ![]() In most cases you can create a new series using a method that is named after the series type (such as column(), bar(), area(), etc.) and use data array or data set as a parameter for the method. Information about manipulating series data can be found in Data Manipulation article. Note: This article contains information about managing charts series. Series has a type and series data can be changed any time you want, when data changes in the data set or you update series properties you see updated visualization instantly. Series is a single set of data, that is visualized on a chart's plot. Triple Exponential Moving Average (TRIX).Moving Average Convergence Divergence (MACD).
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