Use weather and climate data from a collection of over 1800 parameters.
Retrieve historic, current, and forecast data globally. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
meteomatics_weather_api: {
type: "app",
app: "meteomatics_weather_api",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.meteomatics.com/mvt/isolines/2024-06-22T0Z/msl_pressure.hPa/style.json`,
params: {
access_token: `${this.meteomatics_weather_api.$auth.oauth_access_token}`,
},
})
},
})
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:
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}}