Making an API request

Forecasting systems start with a data pipeline that gathers new data from an API or other data source. In this exercise, you'll create the URL link and send a request to the EIA API to retrieve electricity data.

Note that working with the EIA API requires creating an API key; for this exercise, a demo API key has been set up for you.

The requests, os, and pandas packages, as pd, were imported for you.

本练习是课程的一部分

Designing Forecasting Pipelines for Production

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练习说明

Extract the API key from the environment variable, saving it as eia_api_key.
Create the full URL path by combining api_url_path and eia_api_key.
Make the request using the correct method and passing the full link.

交互式实操练习

通过完成这段示例代码来试试这个练习。

# Extract the API key from the environment variable
eia_api_key = os.____('EIA_API_KEY')

# Create the full URL path
api_url = "https://api.eia.gov/v2/"
api_path = "electricity/rto/region-data/"
api_url_path = api_url + api_path + "data/&data[]=value"
full_path = ____ + "?api_key=" + ____

# Make the request
data = requests.____(____).json()

df = pd.DataFrame(data["response"]["data"])
print(df.head())

编辑并运行代码