with Weatherbit.io and Python?
Fetch current weather from a location. See docs here
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Fetch daily forecast weather from a location. See docs here
Fetch historical wheater data from a location. See docs here
The Weatherbit.io API offers real-time weather data, forecasts, and historical weather information. By integrating this API with Pipedream, you can automate tasks based on weather conditions, set up alerts, or enrich your app with weather data. This can range from triggering workflows when certain weather thresholds are met, to augmenting business data with weather insights, or automating smart home devices in response to the weather.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
weatherbit_io: {
type: "app",
app: "weatherbit_io",
}
},
async run({steps, $}) {
return await axios($, {
url: `http://api.weatherbit.io/v2.0/current`,
params: {
key: `${this.weatherbit_io.$auth.api_key}`,
city: `{your_city}`,
},
})
},
})
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}}