Use the graph widget for line, bar, pie and polar graphs of data in your dashboards.
This widget is intended for 'standard'/generic graphing. For market data price charts use the Chart widget, for more exotic financial outputs use other type-specific widgets such as the GEX widget.
The graph API is straightforward, and aims to be familiar to people already comfortable with tools like matplotlib or plotly.
Ref | Default | Notes |
---|---|---|
type |
[null] | Graph type, one of pie , line , bar , polar , radar , hbar , stack , hstack |
legend |
white | Legend position, one of auto , top , left , right , bottom , none |
worksheet |
[null] | Data to plot on the graph (see below) |
The graph widget works by accepting a Worksheet structure, which is analagous to a Dataframe in other platforms/languages except for the following differences:
The graph data is set/updated by pushing a worksheet to the worksheet
property. This property accepts either a
JSON-serialized worksheet structure, or CSV data that can be parsed into a worksheet structure.
See the Worksheet docs for details on accepted formats.
The graph type is set by pushing a string indicating the type required to the type
property. Examples of the graph types can be seen in the Graph types documentation.
Here we echo
a string of data, and pipe it in to the awts dash widget graph
command with the --stdin
argument for accepting worksheet data on stdin
:
❯ echo "bar,1,2,3,4,9" | awts dash widget graph /primary/page1/graph/worksheet bar --stdin
Sending to dash...
Ok