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Event annotations allow you to add context to the trends returned by your time charts. For example, if you have a chart that shows website login errors over the last week, you can add an event annotation that flags the times when your servers were down over that period. If the majority of the login errors occurred when your servers were down, you can conclude that the two events are related. Using event annotations in this way gives you the ability to correlate discrete data sets.
Figure: (0.2, 0.2)', transform = fig. TransFigure); Note that by default, the text is aligned above and to the left of the specified coordinates: here the '.' At the beginning of each string will approximately mark the given coordinate location. Sign in to Annotate's Mobile Interactive Whiteboard and Classroom Engagement System. Join Annotate's Mobile Interactive Whiteboard and Classroom Engagement System Are you teaching at a school, college, or an educational institution? Sign up for a free educational instructor account to access more features and enjoy better privacy.
Event annotations are presented as colored flags that display time stamp information and custom descriptions in labels when you hover your cursor over them.
Event annotations are supported only for line charts, column charts, and area charts.
If you set an Auto refresh delay in the Edit Search panel, you must manually add the same refresh time in the XML for the event annotation search. For example, if you've set the delay in the UI, it will look similar to this 30 second delay code in the Source tab of the panel for your primary search:
<refresh>30s</refresh>
<refreshType>delay</refreshType>
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To ensure that the event annotations also refresh on the same schedule, add the same lines to the secondary search that runs the event annotations.
The following image is an example of a dashboard panel that includes event annotations. The panel shows a chart depicting average search run times overlaid with event annotations taken from a secondary search of internal logs with 'WARN' and 'ERROR' notifications. The yellow label shows the custom message for the event annotation for 'WARN.'
Creating event annotations
You create event annotations from the dashboard editor using Simple XML. Event annotation searches are sourced from the data in logs and lookups or from a data source that you have manually added. If you are not familiar with using Simple XML to edit dashboards, see Editing Simple XML.
To add an event annotation to a chart, use the command
search type= 'annotation'
followed by the query that searches the data for the events to annotate, and the time frame for the query. For example, the following is the Simple XML for the dashboard panel above. Annotation search fields
Adium all in one messenger for mac macos nmac ked. Use the following fields to define your event annotation search.
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Field name | Type | Required | Description |
---|---|---|---|
_time | epoch time | Yes | The timestamp of the event. |
annotation_label | string | No | The message that is displayed in the annotation label. |
annotation_category | string | No | Use this field to group annotation events by type. |
annotation_color | string | No | Use this field to assign a color to an annotation event. Colors must be specified using hex codes, for example <option name='charting.annotation.categoryColors'>{'ERROR':'#ff3300','WARN':'#ffcc00'}</option> . |
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If you use this field to specify a color for an event annotation, it will override the chart configuration property,
charting.annotation.categoryColors
. If you have specified the field annotation_category
in your search, you can use the charting.annotation.categoryColors
property instead of annotation_color
to assign colors to the markers and labels of the categories returned. For more details about this property, see charting.annotation.categoryColors in the Chart Configuration Reference.
The uses of the basic
text()
will place textat an arbitrary position on the Axes. A common use case of text is toannotate some feature of the plot, and theannotate()
method provides helper functionalityto make annotations easy. In an annotation, there are two points toconsider: the location being annotated represented by the argumentxy
and the location of the text xytext
. Both of thesearguments are (x,y)
tuples.Proencryptor 1 7 7. In this example, both the
xy
(arrow tip) and xytext
locations(text location) are in data coordinates. There are a variety of othercoordinate systems one can choose -- you can specify the coordinatesystem of xy
and xytext
with one of the following strings forxycoords
and textcoords
(default is 'data')argument | coordinate system |
---|---|
'figure points' | points from the lower left corner of the figure |
'figure pixels' | pixels from the lower left corner of the figure |
'figure fraction' | 0,0 is lower left of figure and 1,1 is upper right |
'axes points' | points from lower left corner of axes |
'axes pixels' | pixels from lower left corner of axes |
'axes fraction' | 0,0 is lower left of axes and 1,1 is upper right |
'data' | use the axes data coordinate system |
For example to place the text coordinates in fractional axescoordinates, one could do:
For physical coordinate systems (points or pixels) the origin is thebottom-left of the figure or axes.
Optionally, you can enable drawing of an arrow from the text to the annotatedpoint by giving a dictionary of arrow properties in the optional keywordargument
arrowprops
.arrowprops key | description |
---|---|
width | the width of the arrow in points |
frac | the fraction of the arrow length occupied by the head |
headwidth | the width of the base of the arrow head in points |
shrink | move the tip and base some percent away fromthe annotated point and text |
**kwargs | any key for matplotlib.patches.Polygon ,e.g., facecolor |
In the example below, the
xy
point is in native coordinates(xycoords
defaults to 'data'). For a polar axes, this is in(theta, radius) space. The text in this example is placed in thefractional figure coordinate system. matplotlib.text.Text
keyword args like horizontalalignment
, verticalalignment
andfontsize
are passed from annotate
to theText
instance.Annotation Polar
For more on all the wild and wonderful things you can do withannotations, including fancy arrows, see Advanced Annotationand Annotating Plots.
Annotate 2 0 7 Fraction
Do not proceed unless you have already read Basic annotation,
text()
and annotate()
!