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with ChartLy and Python?
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Popular ChartLy and Python Actions#
Run Python Code with the Python API
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Integrate the ChartLy API with the Python API
Setup the ChartLy API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate ChartLy and Python remarkably fast. Free for developers.
Connect ChartLy#
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import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
chartly: {
type: "app",
app: "chartly",
}
},
async run({steps, $}) {
//your chart configuration
const data = {
"chart_type": "line",
"data": {
"labels": ["Jan", "Feb", "Mar", "Apr", "May"],
"datasets": [{
"label": "Sales 2024",
"data": [12, 19, 3, 5, 2],
"borderColor": "rgb(75, 192, 192)",
"tension": 0.1
}]
},
"options": {
"responsive": true,
"plugins": {
"title": {
"display": true,
"text": "Monthly Sales"
}
}
},
"width": 800,
"height": 600,
"output_format": "png"
}
return await axios($, {
method: "post",
url: `https://chartapi.pdfmunk.com/api/v1/generateChart`,
headers: {
"content-type": `application/json`,
"client-api-key": `${this.chartly.$auth.api_key}`,
},
data,
})
},
})
Overview of Python#
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow
This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
Connect Python#
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def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}Start for free — no credit card required
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Trusted by 1,000,000+ developers from startups to Fortune 500 companies