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xyseries
Description
Converts results into a tabular format that is suitable for graphing. This command is the inverse of the untable command.
Syntax
xyseries [grouped=<bool>] <x-field> <y-name-field> <y-data-field>... [sep=<string>] [format=<string>]
Required arguments
- <x-field>
- Syntax: <field>
- Description: The name of the field to use for the x-axis label. The values of this field appear as labels for the data series plotted on the x-axis.
- <y-name-field>
- Syntax: <field>
- Description: The field that contains the values to use as labels for the data series.
- <y-data-field>
- Syntax: <field> [,<field>] ...
- Description: One or more fields that contain the data to chart. When specifying multiple fields, separate the field names with commas.
Optional arguments
- format
- Syntax: format=<string>
- Description: Used to construct output field names when multiple data series are used in conjuction with a split-by-field.
formattakes precedence oversepand lets you specify a parameterized expression with the stats aggregator and function ($AGG$) and the value of the split-by-field ($VALUE$).
- grouped
- Syntax: grouped= true | false
- Description: If true, indicates that the input is sorted by the value of the <x-field> and multifile input is allowed.
- Default:
false
- sep
- Syntax: sep=<string>
- Description: Used to construct output field names when multiple data series are used in conjunctions with a split-by field. This is equivalent to setting
formatto$AGG$<sep>$VALUE$.
Usage
The xyseries command is a distributable streaming command, unless grouped=true is specified and then
the xyseries command is a transforming command. See Command types.
Alias
The alias for the xyseries command is maketable.
Examples
Example 1: Reformat the search results.
... | xyseries delay host_type host
Example 2: Refer to this walkthrough to see how you can combine stats and eval with the xyseries command to create a report on multiple data series.
See also
Answers
Have questions? Visit Splunk Answers and see what questions and answers the Splunk community has using the xyseries command.
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This documentation applies to the following versions of Splunk® Enterprise: 6.0, 6.0.1, 6.0.2, 6.0.3, 6.0.4, 6.0.5, 6.0.6, 6.0.7, 6.0.8, 6.0.9, 6.0.10, 6.0.11, 6.0.12, 6.0.13, 6.0.14, 6.0.15, 6.1, 6.1.1, 6.1.2, 6.1.3, 6.1.4, 6.1.5, 6.1.6, 6.1.7, 6.1.8, 6.1.9, 6.1.10, 6.1.11, 6.1.12, 6.1.13, 6.1.14, 6.2.0, 6.2.1, 6.2.2, 6.2.3, 6.2.4, 6.2.5, 6.2.6, 6.2.7, 6.2.8, 6.2.9, 6.2.10, 6.2.11, 6.2.12, 6.2.13, 6.2.14, 6.2.15, 6.3.0, 6.3.1, 6.3.2, 6.3.3, 6.3.4, 6.3.5, 6.3.6, 6.3.7, 6.3.8, 6.3.9, 6.3.10, 6.3.11, 6.3.12, 6.3.13, 6.3.14, 6.4.0, 6.4.1, 6.4.2, 6.4.3, 6.4.4, 6.4.5, 6.4.6, 6.4.7, 6.4.9, 6.4.10, 6.4.11, 6.5.1612 (Splunk Cloud only), 6.5.2, 6.5.3, 6.5.4, 6.5.5, 6.5.6, 6.5.7, 6.5.8, 6.5.9, 6.6.0, 6.6.1, 6.6.2, 6.6.3, 6.6.4, 6.6.5, 6.6.6, 6.6.7, 6.6.8, 6.6.9, 6.6.10, 6.6.11, 6.6.12, 7.0.0, 7.0.1, 7.0.2, 7.0.3, 7.0.4, 7.0.5, 7.0.6, 7.0.7, 7.0.8, 7.0.9, 7.0.10, 7.0.11, 7.0.13, 7.1.0, 7.1.1, 7.1.2, 7.1.3, 7.1.4, 7.1.5, 7.1.6, 7.1.7, 7.1.8, 7.1.9, 7.2.0, 7.2.1, 7.2.2, 7.2.3, 7.2.4, 7.2.5, 7.2.6, 7.2.7, 7.2.8, 7.2.9, 7.3.0, 7.3.1, 7.3.2, 7.3.3, 8.0.0, 6.4.8, 6.5.0, 6.5.1, 6.5.10
Comments
There needs to be an option to reverse the column order of xyseries. We should also see examples for the the optional arguments because it is unclear how or what they are to be used for.
Apnetmedic
Thanks for noticing this. The link was on the last phrase in that sentence. I've fixed it now to be on "this walkthrough" which I agree with you would be more clear :-)
I think there's a link missing? Example 2: Refer to this walkthrough to see how you can combine stats and eval with the xyseries command to create a report on multiple data series.
"this walkthrough" isn't a link, and it seems like it should be, since there's no walkthrough on this page.
Ryhluc01
Thank you for the suggestion to add an option to reverse the columns. I will pass that along to our development team. I agree with you that more examples would be useful to understand the xyseries command. We are working to add more examples. Thanks again!