Embeddable Graphs with Template Variables

Embeddable graphs created with the API accept template variables. Below is an example utilizing Python to query avg:system.cpu.user{$var}. In this example, $var is the template variable. Note: This method only supports graphs with timeseries visualization.

from datadog import initialize, api import json  # Initialize request parameters with Datadog API/APP key options = {     'api_key': '<DATADOG_API_KEY>',     'app_key': '<DATADOG_APPLICATION_KEY>' }  initialize(**options)  # Create an embed graph definition as a dict and format as JSON graph_json = {     "requests": [{         "q": "avg:system.cpu.user{$var}"     }],     "viz": "timeseries",     "events": [] } graph_json = json.dumps(graph_json)  api.Embed.create(     graph_json=graph_json,     timeframe="1_hour",     size="medium",     legend="no" ) 

Example response:

{   'embed_id': '<EMBED_ID>',   'revoked': False,   'template_variables': ['var'],   'html': '<iframe src="https://app.datadoghq.com/graph/embed?token=<EMBED_TOKEN>&height=300&width=600&legend=false&var=*" width="600" height="300" frameBorder="0"></iframe>',   'graph_title': 'Embed created through API',   'dash_url': None,   'shared_by': 734258,   'dash_name': None } 

Display the embed graph on a website by using the HTML in the response object. Notice the $var template variable is set to * by default in the iframe URL. This is the equivalent of the query avg:system.cpu.user{*}.

<iframe src="https://app.datadoghq.com/graph/embed?token=<EMBED_TOKEN>&height=300&width=600&legend=false&var=*" width="600" height="300" frameBorder="0"></iframe> 

Example embed:

Embed Graph with No Filter

Use the template variable to change the graph by updating the iframe URL to define a filter. In the HTML below, * is replaced with host:embed-graph-test.

<iframe src="https://app.datadoghq.com/graph/embed?token=<EMBED_TOKEN>&height=300&width=600&legend=false&var=host:embed-graph-test" width="600" height="300" frameBorder="0"></iframe> 

Example embed:

Embed Graph with Filter

Further Reading

Additional helpful documentation, links, and articles: